diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..feb37c3
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,21 @@
+# 줄바꿈 자동화 (운영 체제 간 코드 깨짐 방지)
+* text=auto
+
+# 파이썬, 자바스크립트 등 소스 코드는 확실히 텍스트로 처리
+*.py text
+*.js text
+*.json text
+*.yaml text
+
+# 대용량 모델 파일 (Git LFS 적용)
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+
+# 이미지 파일 (바이너리 처리)
+*.png binary
+*.jpg binary
+*.jpeg binary
+*.gif binary
+*.ico binary
\ No newline at end of file
diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
index dd1bcea..505231a 100644
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@@ -1,2 +1,2 @@
-github: [seoyunje]
+github: seoyunje
buy_me_a_coffee: seoyunje
diff --git a/.github/labeler.yml b/.github/labeler.yml
new file mode 100644
index 0000000..8f69fee
--- /dev/null
+++ b/.github/labeler.yml
@@ -0,0 +1,31 @@
+model:
+ - changed-files:
+ - any-glob-to-any-file: ["src/model/**", "models/**", "*.pt", "*.pth"]
+
+data:
+ - changed-files:
+ - any-glob-to-any-file: ["data/**", "datasets/**", "src/data/**"]
+
+training:
+ - changed-files:
+ - any-glob-to-any-file: ["train*.py", "src/train/**", "configs/**"]
+
+api:
+ - changed-files:
+ - any-glob-to-any-file: ["api/**", "routers/**", "app.py"]
+
+test:
+ - changed-files:
+ - any-glob-to-any-file: ["tests/**", "test_*.py"]
+
+docs:
+ - changed-files:
+ - any-glob-to-any-file: ["docs/**", "*.md", "*.rst"]
+
+ci:
+ - changed-files:
+ - any-glob-to-any-file: [".github/**"]
+
+dependencies:
+ - changed-files:
+ - any-glob-to-any-file: ["requirements*.txt", "pyproject.toml", "setup.py"]
\ No newline at end of file
diff --git a/.github/workflows/issue-auto-label.yml b/.github/workflows/issue-auto-label.yml
deleted file mode 100644
index ceec4a2..0000000
--- a/.github/workflows/issue-auto-label.yml
+++ /dev/null
@@ -1,14 +0,0 @@
-name: Auto Label Issues
-
-on:
- issues:
- types: [opened]
-
-jobs:
- label:
- runs-on: ubuntu-latest
- steps:
- - name: Label Bug
- uses: actions-ecosystem/action-add-labels@v1
- with:
- labels: bug
diff --git a/.github/workflows/issue-stale-clean.yml b/.github/workflows/issue-stale-clean.yml
deleted file mode 100644
index 7f90ca7..0000000
--- a/.github/workflows/issue-stale-clean.yml
+++ /dev/null
@@ -1,22 +0,0 @@
-name: Close stale issues
-
-on:
- schedule:
- - cron: "0 0 * * *"
-
-jobs:
- stale:
- runs-on: ubuntu-latest
- steps:
- - uses: actions/stale@v9
- with:
- days-before-stale: 14
- days-before-close: 7
- stale-issue-label: "stale"
- stale-issue-message: >
- ⏳ 14일 동안 활동이 없어 자동으로 stale 처리되었습니다.
- 추가 정보가 있다면 댓글로 다시 활성화해주세요!
-
- close-issue-message: >
- 🔒 7일 동안 활동이 없어 Issue가 자동으로 닫혔습니다.
- 필요하면 언제든 재오픈해주세요 🙂
diff --git a/.github/workflows/pr-ci.yml b/.github/workflows/pr-ci.yml
new file mode 100644
index 0000000..4bbaf9f
--- /dev/null
+++ b/.github/workflows/pr-ci.yml
@@ -0,0 +1,29 @@
+name: PR CI
+
+on:
+ pull_request:
+ branches: [main, develop]
+
+jobs:
+ lint-and-test:
+ runs-on: ubuntu-latest
+
+ steps:
+ - uses: actions/checkout@v4
+
+ - uses: actions/setup-python@v5
+ with:
+ python-version: "3.11"
+ cache: "pip"
+
+ - name: Install dependencies
+ run: pip install -r requirements.txt
+
+ - name: Lint (ruff)
+ run: ruff check . --output-format=github
+
+ - name: Format check (ruff)
+ run: ruff format --check .
+
+ - name: Test (pytest)
+ run: pytest --tb=short -q
\ No newline at end of file
diff --git a/.github/workflows/pr-label.yml b/.github/workflows/pr-label.yml
new file mode 100644
index 0000000..df3de40
--- /dev/null
+++ b/.github/workflows/pr-label.yml
@@ -0,0 +1,18 @@
+name: PR Auto Label
+
+on:
+ pull_request:
+ types: [opened, synchronize, reopened]
+
+jobs:
+ label:
+ runs-on: ubuntu-latest
+ permissions:
+ contents: read
+ pull-requests: write
+
+ steps:
+ - uses: actions/labeler@v5
+ with:
+ repo-token: ${{ secrets.GITHUB_TOKEN }}
+ sync-labels: true # PR 파일 변경 시 라벨 재동기화
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..d0e86dc
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,39 @@
+# [공통 및 에디터 설정]
+.DS_Store
+.vscode/
+.idea/
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+*.egg-info
+
+# [FastAPI / Python - App 폴더 관련]
+**/__pycache__/
+*.py[cod]
+*$py.class
+.venv/
+venv/
+env/
+.env
+
+# [React - client 폴더 관련]
+# 의존성 및 패키지 관리
+client/node_modules/
+client/.pnp
+client/.pnp.js
+client/package-lock.json
+
+# [Vercel - client 폴더 관련]
+client/.vercel
+
+# 테스트 및 빌드 결과물
+client/coverage/
+client/build/
+
+# 환경 변수 (보안을 위해 로컬 설정 무시)
+client/.env
+client/.env.local
+client/.env.development.local
+client/.env.test.local
+client/.env.production.local
\ No newline at end of file
diff --git a/App/celery_app.py b/App/celery_app.py
new file mode 100644
index 0000000..5503e8b
--- /dev/null
+++ b/App/celery_app.py
@@ -0,0 +1,44 @@
+import os
+from celery import Celery
+from dotenv import load_dotenv
+
+# ------ .env 파일 가져오기 ------
+load_dotenv()
+
+REDIS_HOST = os.getenv("REDIS_HOST", "localhost")
+REDIS_PORT = os.getenv("REDIS_PORT", 6379)
+
+REDIS_URL = f"redis://{REDIS_HOST}:{REDIS_PORT}/0"
+
+# Celery Instance 생성
+celery_app = Celery(
+ "deepguard",
+ broker=REDIS_URL, # 메세지를 전달할 브로커
+ backend=REDIS_URL, # 작업 결과를 저장할 백엔드
+ # 비동기 추론 작업 파일
+ include=["services.inference_svc", # process_image_task, process_video_task
+ "services.explain_svc", # process_explain_image_task
+ "services.image_svc", # cleanup_anonymous_image, cleanup_image_cam
+ "services.video_svc"] # cleanup_anonymous_video
+)
+
+# Celery Instance 상세 설정
+celery_app.conf.update(
+ # 데이터 직렬화 방식
+ task_serializer='json',
+ accept_content=['json'],
+ result_serializer='json',
+
+ # 시간대 설정
+ timezone='Asia/Seoul',
+ enable_utc=True,
+
+ # GPU 메모리 오버플로우 방지
+ worker_prefetch_multiplier=1,
+
+ # 작업 도중 Worker 종료 시, 다시 큐에 넣는다
+ task_acks_late=True,
+
+ # 작업 결과 보관 시간 (초 단위)
+ result_expires=3600
+)
\ No newline at end of file
diff --git a/App/db/database.py b/App/db/database.py
new file mode 100644
index 0000000..2e395b9
--- /dev/null
+++ b/App/db/database.py
@@ -0,0 +1,54 @@
+import os
+from dotenv import load_dotenv
+from fastapi import status
+from fastapi.exceptions import HTTPException
+from sqlalchemy.ext.asyncio import create_async_engine, AsyncEngine
+from sqlalchemy.exc import SQLAlchemyError
+from sqlalchemy.pool import NullPool
+from contextlib import asynccontextmanager
+
+
+load_dotenv()
+DB_USER = os.getenv("DB_USER")
+DB_PASSWORD = os.getenv("DB_PASSWORD")
+DB_HOST = os.getenv("DB_HOST")
+DB_PORT = os.getenv("DB_PORT")
+DB_NAME = os.getenv("DB_NAME")
+
+DATABASE_CONN = f"mysql+aiomysql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}"
+
+engine: AsyncEngine = create_async_engine(
+ url = DATABASE_CONN,
+ # echo = True,
+ pool_size = 10,
+ max_overflow = 2,
+ pool_recycle = 3600 # 1hour
+)
+
+# Celery worker 전용 engine 추가
+celery_engine: AsyncEngine = create_async_engine(
+ url=DATABASE_CONN,
+ poolclass=NullPool # 풀 없이 매 연결마다 새로 생성
+)
+
+async def context_get_conn():
+ conn = None
+ try:
+ conn = await engine.connect()
+ yield conn
+ except SQLAlchemyError as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+ detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다")
+ finally:
+ if conn:
+ await conn.close()
+
+@asynccontextmanager
+async def celery_db_conn():
+ conn = await celery_engine.connect() # celery_engine으로 교체
+ try:
+ yield conn
+ finally:
+ await conn.close()
+
\ No newline at end of file
diff --git a/App/main.py b/App/main.py
new file mode 100644
index 0000000..93fb9b1
--- /dev/null
+++ b/App/main.py
@@ -0,0 +1,54 @@
+import os
+from dotenv import load_dotenv
+
+# ------ .env 파일 가져오기 ------
+load_dotenv()
+
+# -------- Huggingface_Hub 인증 ----------
+if os.getenv("HF_TOKEN"):
+ os.environ["HF_TOKEN"] = os.getenv("HF_TOKEN")
+else:
+ print("[Warning] HF_TOKEN is not set")
+
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.exceptions import RequestValidationError
+from starlette.exceptions import HTTPException as StarletteHTTPException
+from fastapi.middleware.cors import CORSMiddleware
+# from starlette.middleware.sessions import SessionMiddleware
+from routes import api_router
+from utils import exc_handler, middleware, common
+
+
+# 가상 FastAPI 인스턴스 생성
+app = FastAPI(lifespan=common.lifespan)
+
+# StaticFile 등록 (이미지, 비디오 파일)
+app.mount("/static", StaticFiles(directory="static"), name="static")
+
+# CORS Setup for cross-origin requests
+# FrontEnd: React, BackEnd: FastAPI
+origins_str = os.getenv("CORS_ALLOWED_ORIGINS")
+allowed_origins = [origin.strip() for origin in origins_str.split(",")]
+app.add_middleware(CORSMiddleware,
+ allow_origins=allowed_origins,
+ allow_methods=["*"],
+ allow_headers=["*"],
+ allow_credentials=True,
+ max_age = -1
+ )
+
+# 세션 미들웨어 등록 - Signed Cookie 이용
+# SECRET_KEY = os.getenv("SECRET_KEY", "unique_secret_key")
+# app.add_middleware(SessionMiddleware, secret_key=SECRET_KEY, max_age=3600)
+
+# 세션 미들웨어 등록 - Redis 이용
+app.add_middleware(middleware.RedisSessionMiddleware, max_age=3600)
+
+# 라우터 등록 (View: Router, Controller: Service)
+app.include_router(api_router)
+
+# 커스텀 예외 처리: HTTPException
+app.add_exception_handler(StarletteHTTPException, exc_handler.custom_http_exception_handler)
+# 커스텀 예외 처리: RequestValidationError
+app.add_exception_handler(RequestValidationError, exc_handler.validation_exception_handler)
\ No newline at end of file
diff --git a/App/routes/__init__.py b/App/routes/__init__.py
new file mode 100644
index 0000000..a338ab5
--- /dev/null
+++ b/App/routes/__init__.py
@@ -0,0 +1,15 @@
+from fastapi import APIRouter
+from routes.auth import router as auth_router
+from routes.explain import router as explain_router
+from routes.home import router as home_router
+from routes.image import router as image_router
+from routes.inference import router as inference_router
+from routes.video import router as video_router
+
+api_router = APIRouter(prefix="/api", tags=["api"])
+api_router.include_router(auth_router)
+api_router.include_router(explain_router)
+api_router.include_router(home_router)
+api_router.include_router(image_router)
+api_router.include_router(inference_router)
+api_router.include_router(video_router)
\ No newline at end of file
diff --git a/App/routes/auth.py b/App/routes/auth.py
new file mode 100644
index 0000000..4a8154e
--- /dev/null
+++ b/App/routes/auth.py
@@ -0,0 +1,82 @@
+from pydantic import BaseModel
+from fastapi import APIRouter, Depends, status, Request
+from services import auth_svc, session_svc
+from sqlalchemy import Connection
+from db.database import context_get_conn
+from fastapi.exceptions import HTTPException
+from fastapi.responses import JSONResponse
+from schemas.auth_schema import RegisterRequest, LoginRequest
+
+router = APIRouter(prefix="/auth", tags=["auth"])
+
+# 프론트엔드 새로고침 시 세션 유지 여부를 확인하고 유저 정보를 반환합니다
+@router.get("/check", status_code=status.HTTP_200_OK, response_class=JSONResponse, summary= "로그인 상태 확인 API")
+async def check_session(session_user = Depends(session_svc.get_session_user_opt)):
+ return {"user": session_user}
+
+
+@router.post("/register", status_code=status.HTTP_201_CREATED,response_class=JSONResponse, summary="회원가입 API")
+async def register_user(request: Request,
+ user_info: RegisterRequest,
+ conn: Connection = Depends(context_get_conn)):
+
+ # 1. 이메일 중복 확인
+ user = await auth_svc.get_user_by_email(conn=conn, email=user_info.email)
+ if user is not None:
+ raise HTTPException(
+ status_code=status.HTTP_400_BAD_REQUEST,
+ detail="이미 사용 중인 이메일입니다."
+ )
+
+ # 2. 비밀번호 암호화 (해싱)
+ hashed_password = auth_svc.get_hashed_password(user_info.password)
+
+ # 3. 신규 유저 DB 저장
+ await auth_svc.register_user(
+ conn=conn,
+ name=user_info.name,
+ email=user_info.email,
+ hashed_password=hashed_password
+ )
+
+ return {"message": "회원가입이 성공적으로 완료되었습니다.", "status": "success"}
+
+@router.post("/login", status_code=status.HTTP_200_OK,response_class=JSONResponse ,summary="로그인 API")
+async def login_user(request: Request,
+ login_info: LoginRequest,
+ conn: Connection = Depends(context_get_conn)):
+
+ # 1. 유저 인증 (DB 조회 및 비밀번호 대조)
+ user = await auth_svc.authenticate_user(conn=conn, email=login_info.email)
+ # 2. 인증 실패 처리
+ if not user:
+ raise HTTPException(
+ status_code=status.HTTP_401_UNAUTHORIZED,
+ detail="해당 이메일 사용자는 존재하지 않습니다."
+ )
+
+ is_correct_pw = auth_svc.verify_password(plain_password=login_info.password,
+ hashed_password=user.hashed_password)
+
+ if not is_correct_pw:
+ raise HTTPException(
+ status_code=status.HTTP_401_UNAUTHORIZED,
+ detail="등록하신 패스워드와 입력정보가 일치하지 않습니다."
+ )
+
+ request.state.session["session_user"] = {"id": user.id, "name": user.name, "email":user.email}
+
+
+ # 3. 로그인 성공 응답
+ return {
+ "message": "로그인에 성공했습니다.",
+ "status": "success"
+ }
+
+@router.get("/logout", status_code=status.HTTP_200_OK, response_class=JSONResponse, summary="로그아웃")
+async def logout_user(request: Request):
+ request.state.session.clear()
+ return {
+ "message": "로그아웃 되었습니다.",
+ "status": "success"
+ }
\ No newline at end of file
diff --git a/App/routes/explain.py b/App/routes/explain.py
new file mode 100644
index 0000000..adcc763
--- /dev/null
+++ b/App/routes/explain.py
@@ -0,0 +1,184 @@
+import os
+from fastapi import APIRouter, status, Depends
+from fastapi.exceptions import HTTPException
+from fastapi.responses import JSONResponse
+from sqlalchemy import Connection
+from db.database import context_get_conn
+from schemas.explain_schema import ExplainImageRequest, ExplainFrameRequest
+from services import session_svc, explain_svc, image_svc, video_svc
+from celery_app import celery_app
+from celery.result import AsyncResult
+
+router = APIRouter(prefix="/explain", tags=["explain"])
+
+@router.post("/image/{image_id}", status_code=status.HTTP_202_ACCEPTED,
+ response_class=JSONResponse, summary="딥페이크 이미지 위조 흔적 시각화 비동기 접수")
+async def explain_image(
+ image_id: int,
+ explain_req: ExplainImageRequest,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_prt), # 로그인 필수
+):
+ # 딥페이크 이미지 추론 결과 가져오기
+ result = await image_svc.get_image_result(conn, image_id)
+
+ if result.status != "SUCCESS":
+ raise HTTPException(
+ status_code = status.HTTP_400_BAD_REQUEST,
+ detail = "이미지 위조 흔적 분석은 추론이 성공한 이미지만 가능합니다"
+ )
+
+ image_path = "." + result.image_loc
+
+ if not os.path.exists(image_path):
+ raise HTTPException(
+ status_code = status.HTTP_404_NOT_FOUND,
+ detail = f"요청하신 이미지 파일을 찾을 수 없습니다. 삭제하였는지 다시 확인해주세요."
+ )
+
+ if result.model_type == "pro" and explain_req.aug_smooth:
+ raise HTTPException(
+ status_code=status.HTTP_400_BAD_REQUEST,
+ detail="Pro 모델은 aug_smooth 기능을 지원하지 않습니다",
+ )
+
+ # Celery Task 호출(Redis Broker 활용)
+ task = explain_svc.process_explain_image_task.delay(
+ user_email = session_user["email"],
+ version_type = result.version_type,
+ domain_type = result.domain_type,
+ image_loc = result.image_loc,
+ image_id = result.image_id,
+ category = 1 if result.label == "FAKE" else 0,
+ explain_req_dict = explain_req.model_dump())
+ return {
+ "message": "딥페이크 이미지 위조 흔적 시각화 접수 완료. 시각화 분석 시작 ...",
+ "task_id": task.id,
+ }
+
+
+@router.get("/image/result/{task_id}", status_code=status.HTTP_200_OK,
+ response_class=JSONResponse, summary="딥페이크 이미지 위조 흔적 시각화 결과 가져오기")
+async def get_explain_image_result(
+ task_id: str,
+ session_user = Depends(session_svc.get_session_user_prt), # 로그인 필수
+ ):
+
+ # Redis Broker에서 Task ID에 해당하는 비동기 작업 상태 가져오기
+ task = AsyncResult(task_id, app=celery_app)
+
+ if task.state in ("PENDING", "STARTED", "RETRY"):
+ return JSONResponse(
+ status_code = status.HTTP_202_ACCEPTED,
+ content = {"message": "딥페이크 이미지 위조 흔적 시각화 분석 중 ..."}
+ )
+
+ if task.state == "FAILURE":
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="딥페이크 이미지 위조 흔적 시각화 중 알 수 없는 오류가 발생하였습니다")
+
+ # Celery Task 결과 가져오기
+ result = task.result
+
+ if result["status"] == "FAILED":
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail=result["message"])
+
+ return {
+ "status": result["status"],
+ "message": result["message"],
+ "cam_loc": result["cam_loc"],
+ }
+
+@router.post("/video/{video_id}/frame/{frame_index}", status_code=status.HTTP_202_ACCEPTED,
+ response_class=JSONResponse, summary="딥페이크 비디오 프레임 위조 흔적 시각화 비동기 접수")
+async def explain_frame(
+ video_id: int,
+ frame_index: int,
+ explain_req: ExplainFrameRequest,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_prt), # 로그인 필수
+):
+ # 딥페이크 비디오 추론 결과 가져오기
+ result = await video_svc.get_video_result(conn, video_id)
+
+ # 딥페이크 비디오 추론 성공 여부 확인하기
+ if result.status != "SUCCESS":
+ raise HTTPException(
+ status_code = status.HTTP_400_BAD_REQUEST,
+ detail = "비디오 프레임 위조 흔적 분석은 추론이 성공한 비디오에서만 가능합니다"
+ )
+
+ # 비디오 파일 저장 경로 가져오기
+ video_path = "." + result.video_loc
+ if not os.path.exists(video_path):
+ raise HTTPException(
+ status_code = status.HTTP_404_NOT_FOUND,
+ detail = f"요청하신 비디오 파일을 찾을 수 없습니다. 삭제하였는지 다시 확인해주세요."
+ )
+
+ # 딥페이크 비디오 프레임 위조 흔적 분석 (pro model는 aug_smooth 사용 불가, 연산이 너무 많아짐)
+ if result.model_type == "pro" and explain_req.aug_smooth:
+ raise HTTPException(
+ status_code=status.HTTP_400_BAD_REQUEST,
+ detail="Pro 모델은 aug_smooth 기능을 지원하지 않습니다",
+ )
+
+ # 비디오 내 해당 frame이 몇초에 위치한 frame인지 확인
+ frame_time = await video_svc.get_video_frame_by_index(conn, video_id, frame_index)
+
+ # Celery Task 호출(Redis Broker 활용)
+ task = explain_svc.process_explain_frame_task.delay(
+ user_email = session_user["email"],
+ version_type = result.version_type,
+ domain_type = result.domain_type,
+ video_loc = result.video_loc,
+ video_id = video_id,
+ category = 1 if result.label == "FAKE" else 0,
+ frame_time = frame_time,
+ explain_req_dict = explain_req.model_dump())
+ return {
+ "message": "딥페이크 비디오 프레임 위조 흔적 시각화 접수 완료. 시각화 분석 시작 ...",
+ "task_id": task.id,
+ }
+
+@router.get("/frame/result/{task_id}", status_code=status.HTTP_200_OK,
+ response_class=JSONResponse, summary="딥페이크 비디오 프레임 위조 흔적 시각화 결과 가져오기")
+async def get_explain_frame_result(
+ task_id: str,
+ session_user = Depends(session_svc.get_session_user_prt), # 로그인 필수
+ ):
+
+ # Redis Broker에서 Task ID에 해당하는 비동기 작업 상태 가져오기
+ task = AsyncResult(task_id, app=celery_app)
+
+ # 비동기 작업 진행 상태 Check
+ if task.state in ("PENDING", "STARTED", "RETRY"):
+ return JSONResponse(
+ status_code = status.HTTP_202_ACCEPTED,
+ content = {"message": "딥페이크 비디오 프레임 위조 흔적 시각화 분석 중 ..."}
+ )
+
+ # 비동기 작업 실패
+ if task.state == "FAILURE":
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="딥페이크 비디오 프레임 위조 흔적 시각화 중 알 수 없는 오류가 발생하였습니다")
+
+ # Celery Task 결과 가져오기
+ result = task.result
+
+ # 딥페이크 비디오 프레임 위조 흔적 시각화 생성 또는 파일 저장 도중 오류 발생
+ if result["status"] == "FAILED":
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail=result["message"])
+
+ return {
+ "status": result["status"],
+ "message": result["message"],
+ "cam_loc": result["cam_loc"],
+ }
+
\ No newline at end of file
diff --git a/App/routes/home.py b/App/routes/home.py
new file mode 100644
index 0000000..7f65ab9
--- /dev/null
+++ b/App/routes/home.py
@@ -0,0 +1,12 @@
+from fastapi import APIRouter, Depends, status
+from services import session_svc
+from fastapi.responses import JSONResponse
+
+router = APIRouter(prefix="/home", tags=["home"])
+
+@router.get("", status_code=status.HTTP_200_OK,response_class=JSONResponse, summary="세션 유저 정보 가져오기")
+async def home_ui(session_user = Depends(session_svc.get_session_user_opt)):
+ return {
+ "session_user": session_user
+ }
+
diff --git a/App/routes/image.py b/App/routes/image.py
new file mode 100644
index 0000000..d8fea0e
--- /dev/null
+++ b/App/routes/image.py
@@ -0,0 +1,63 @@
+from fastapi import APIRouter, Depends, status, HTTPException
+from services import session_svc, image_svc
+from sqlalchemy import Connection
+from db.database import context_get_conn
+from fastapi.responses import JSONResponse
+
+router = APIRouter(prefix="/image", tags=["image"])
+
+# 사용자 전체 업로드 히스토리 조회
+@router.get("/history", status_code=status.HTTP_200_OK, response_class=JSONResponse,summary="이미지 히스토리 전체 조회")
+async def get_user_histories(
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_prt) # 로그인 필수
+):
+
+ user_id = session_user['id']
+ user_histories = await image_svc.get_user_histories(conn, user_id)
+
+ return {
+ "message": "사용자 내역을 성공적으로 불러왔습니다",
+ "status": "success",
+ "context": user_histories
+ }
+
+# 특정 이미지의 상세 내역 조회 (개별 히스토리)
+@router.get("/history/{image_id}", status_code=status.HTTP_200_OK, response_class=JSONResponse,summary="이미지 개별 상세 조회")
+async def get_user_history(
+ image_id: int,
+ conn: Connection = Depends(context_get_conn),
+):
+
+ history = await image_svc.get_user_history(conn, image_id)
+
+ if not history:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="해당 이미지 기록을 찾을 수 없습니다.")
+
+ return {
+ "message": "개별 내역을 성공적으로 불러왔습니다",
+ "status": "success",
+ "context": history
+ }
+
+# 이미지 히스토리 삭제
+@router.delete("/history/{image_id}", status_code=status.HTTP_200_OK,response_class=JSONResponse, summary="이미지 버튼 히스토리 삭제")
+async def delete_image_history(
+ image_id: int,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_prt) # 로그인 필수
+):
+ history = await image_svc.get_user_history(conn, image_id)
+
+ if not history:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="해당 이미지 기록을 찾을 수 없습니다.")
+
+ # DB 레코드 삭제
+ await image_svc.delete_image_db(conn, image_id)
+ # 실제 이미지 삭제
+ await image_svc.delete_image(history.image_loc)
+
+ return {
+ "message": "이미지 내역이 성공적으로 삭제되었습니다",
+ "status": "success"
+ }
\ No newline at end of file
diff --git a/App/routes/inference.py b/App/routes/inference.py
new file mode 100644
index 0000000..35b0ebe
--- /dev/null
+++ b/App/routes/inference.py
@@ -0,0 +1,142 @@
+from fastapi import (
+ APIRouter, UploadFile, status,
+ Depends, Form, File)
+from fastapi.responses import JSONResponse
+from fastapi.exceptions import HTTPException
+from services import image_svc, session_svc, inference_svc, video_svc
+from sqlalchemy import Connection
+from db.database import context_get_conn
+from schemas.video_schema import VideoDetailResponse, VideoDetailData
+from schemas.image_schema import ImageResultData
+from typing import Literal
+
+router = APIRouter(prefix="/inference", tags=["inference"])
+
+@router.post("/image", status_code=status.HTTP_202_ACCEPTED,
+ response_class=JSONResponse, summary="딥페이크 비동기 이미지 추론 접수")
+async def predict_image(
+ imagefile: UploadFile = File(...), # 사용자가 업로드한 이미지 객체
+ version_type: Literal["v1","v2"] = Form("v2", description="모델 엔진 버전"),
+ model_type: Literal["fast","pro"] = Form("fast", description="추론 모드 (fast: 속도 우선, pro: 정확도 우선)"),
+ domain_type: Literal["서양인","동양인"] = Form("서양인", description="학습 데이터셋 도메인"),
+ conn: Connection = Depends(context_get_conn), # 이미지 File 저장
+ session_user = Depends(session_svc.get_session_user_opt) # Signed Cookie 없을 시 None 반환
+ ):
+
+ user_id = None
+ user_email = None
+
+ if session_user:
+ user_id = session_user['id']
+ user_email = session_user['email']
+
+ # 이미지 업로드 이후, 이미지 저장 경로 반환
+ image_loc = await image_svc.upload_image(user_email, imagefile)
+
+ # 빈 이미지 DB 생성 후, image_id 받기
+ image_id = await image_svc.register_image_result(conn, user_id, image_loc, version_type, model_type, domain_type)
+
+ # Celery Task 호출(Redis 브로커로 작업 전달)
+ inference_svc.process_image_task.delay(image_id, image_loc, version_type, model_type, domain_type, user_id)
+
+ return {
+ "image_id": image_id,
+ "message": "이미지 업로드 성공. 이미지 분석 시작 ...",
+ "status": "success",
+ }
+
+@router.get("/image/{image_id}", status_code=status.HTTP_200_OK,
+ response_model=ImageResultData, summary="딥페이크 비동기 이미지 추론 결과값 가져오기")
+async def get_image_result(
+ image_id: int,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_opt)
+ ):
+ image_data = await image_svc.get_image_result(conn, image_id)
+
+ if image_data.status == "FAILED":
+ if session_user:
+ await image_svc.delete_image(image_data.image_loc)
+ await image_svc.delete_image_db(image_data.image_id)
+
+ raise HTTPException(
+ status_code = status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail=image_data.result_msg
+ )
+ return image_data
+
+@router.post("/video", status_code=status.HTTP_202_ACCEPTED,
+ response_class=JSONResponse, summary="딥페이크 비동기 비디오 추론 접수")
+async def predict_video(
+ videofile: UploadFile = File(...), # 사용자가 업로드한 비디오 객체
+ version_type: Literal["v1","v2"] = Form("v2", description="모델 엔진 버전"),
+ model_type: Literal["fast","pro"] = Form("fast", description="추론 모드 (fast: 속도 우선, pro: 정확도 우선)"),
+ domain_type: Literal["서양인","동양인"] = Form("서양인", description="학습 데이터셋 도메인"),
+ conn: Connection = Depends(context_get_conn), # 비디오 File 저장
+ session_user = Depends(session_svc.get_session_user_opt) # Signed Cookie 없을 시 None 반환
+ ):
+
+ user_id = None
+ user_email = None
+
+ if session_user:
+ user_id = session_user['id']
+ user_email = session_user['email']
+
+ # 비디오 업로드 이후, 비디오 저장 경로 반환
+ video_loc = await video_svc.upload_video(user_email, videofile)
+
+ # 빈 비디오 DB 생성 후, video_id 받기
+ video_id = await video_svc.register_video_result(conn, user_id, video_loc, version_type, model_type, domain_type)
+
+ # Celery Task 호출(Redis 브로커로 작업 전달)
+ inference_svc.process_video_task.delay(video_id, video_loc, version_type, model_type, domain_type, user_id)
+
+ return {
+ "video_id": video_id,
+ "message": "비디오 업로드 성공. 비디오 분석 시작 ...",
+ "status": "success",
+ }
+
+@router.get("/video/{video_id}", status_code=status.HTTP_200_OK,
+ response_model=VideoDetailData, summary="딥페이크 비디오 추론 결과값 가져오기")
+async def get_video_result(
+ video_id: int,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_opt)
+ ):
+
+ video_data = await video_svc.get_video_result(conn, video_id)
+
+ if video_data.status == 'FAILED':
+
+ if session_user:
+ await video_svc.delete_video(video_data.video_loc)
+ await video_svc.delete_video_db(video_data.video_loc)
+
+
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail=video_data.result_msg
+ )
+
+ return video_data
+
+@router.get("/video/{video_id}/detail", status_code=status.HTTP_200_OK,
+ response_model=VideoDetailResponse ,summary="딥페이크 상세 분석 결과값 가져오기")
+async def get_video_detail(
+ video_id: int,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_prt) # 로그인 필수
+ ):
+ video_data = await video_svc.get_video_result(conn, video_id)
+ if video_data.status != "SUCCESS":
+ raise HTTPException(
+ status_code = status.HTTP_400_BAD_REQUEST,
+ detail = f"비디오 상세 분석은 추론이 성공한 비디오만 가능합니다"
+ )
+
+ meta = await video_svc.get_video_meta_result(conn, video_id)
+ frames = await video_svc.get_video_frame_result(conn, video_id)
+
+ return VideoDetailResponse(meta=meta, frames=frames)
diff --git a/App/routes/video.py b/App/routes/video.py
new file mode 100644
index 0000000..cd713af
--- /dev/null
+++ b/App/routes/video.py
@@ -0,0 +1,73 @@
+from fastapi import APIRouter, Depends, status
+from fastapi.exceptions import HTTPException
+from fastapi.responses import JSONResponse
+from services import session_svc, video_svc
+from sqlalchemy import Connection
+from db.database import context_get_conn
+from fastapi.responses import JSONResponse
+
+router = APIRouter(prefix="/video", tags=["video"])
+
+# 사용자 전체 비디오 업로드 히스토리 조회
+@router.get("/history", status_code=status.HTTP_200_OK, response_class=JSONResponse,summary="비디오 히스토리 전체 조회")
+async def get_video_histories(
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_prt) # 로그인 필수
+):
+
+ user_id = session_user['id']
+ video_histories = await video_svc.get_user_histories(conn, user_id)
+
+ return {
+ "message": "비디오 히스토리 내역을 성공적으로 불러왔습니다",
+ "status": "success",
+ "context": video_histories
+ }
+
+# 특정 비디오의 상세 내역 조회
+@router.get("/history/{video_id}", status_code=status.HTTP_200_OK,response_class=JSONResponse, summary="비디오 개별 상세 조회")
+async def get_video_history(
+ video_id: int,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_opt)
+):
+
+ user_id = session_user['id'] if session_user else None
+ # 본인의 데이터만 조회할 수 있도록 user_id도 함께 전달
+ history = await video_svc.get_user_history(conn, user_id, video_id)
+
+ if not history:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="해당 비디오 기록을 찾을 수 없습니다.")
+
+ return {
+ "message": "비디오 개별 내역을 성공적으로 불러왔습니다",
+ "status": "success",
+ "context": history
+ }
+
+# 비디오 히스토리 삭제
+@router.delete("/history/{video_id}", status_code=status.HTTP_200_OK,
+ response_class=JSONResponse, summary="비디오 버튼 히스토리 삭제")
+async def delete_video_history(
+ video_id: int,
+ conn: Connection = Depends(context_get_conn),
+ session_user = Depends(session_svc.get_session_user_prt) # 로그인 필수
+):
+ user_id = session_user['id']
+
+ history = await video_svc.get_user_history(conn, user_id, video_id)
+
+ if not history:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="해당 비디오 기록을 찾을 수 없습니다.")
+
+ if history.status == "SUCCESS":
+ await video_svc.delete_video_meta_result(conn, video_id)
+ await video_svc.delete_video_frame_result(conn, video_id)
+
+ await video_svc.delete_video_db(conn, video_id)
+ await video_svc.delete_video(history.video_loc)
+
+ return {
+ "message": "비디오 내역이 성공적으로 삭제되었습니다",
+ "status": "success"
+ }
\ No newline at end of file
diff --git a/App/schemas/auth_schema.py b/App/schemas/auth_schema.py
new file mode 100644
index 0000000..a5c453c
--- /dev/null
+++ b/App/schemas/auth_schema.py
@@ -0,0 +1,28 @@
+from pydantic import BaseModel, EmailStr, Field
+
+class UserData(BaseModel):
+ """
+ [응답용] 프론트엔드 반환용 유저 기본 정보 (보안상 비밀번호 제외)
+ """
+ id: int = Field(..., description="유저 고유 ID")
+ name: str = Field(..., description="유저 이름")
+ email: str = Field(..., description="유저 이메일")
+
+class UserDataPASS(UserData):
+ """
+ [내부용] DB 조회 및 서버 내부 인증용 (UserData 상속 + 암호화된 비밀번호)
+ """
+ hashed_password: str = Field(..., description="bcrypt로 해싱된 비밀번호 (서버 내부 인증용, 외부 노출 금지)")
+
+class LoginRequest(BaseModel):
+ """
+ [요청용] 로그인 API (POST /auth/login) 수신 JSON 데이터 검증
+ """
+ email: EmailStr = Field(..., description="로그인 이메일")
+ password: str = Field(min_length=8, max_length=30, description="비밀번호 (8자 이상 30자 이하)")
+
+class RegisterRequest(LoginRequest):
+ """
+ [요청용] 회원가입 API (POST /auth/register) 수신 JSON 데이터 검증
+ """
+ name: str = Field(min_length=2, max_length=100, description="유저 이름 (2자 이상 100자 이하)")
\ No newline at end of file
diff --git a/App/schemas/explain_schema.py b/App/schemas/explain_schema.py
new file mode 100644
index 0000000..86d3563
--- /dev/null
+++ b/App/schemas/explain_schema.py
@@ -0,0 +1,86 @@
+from typing import Literal
+from pydantic import BaseModel, Field, model_validator
+
+# ── Branch별 허용 기법 ────────────────────────────────────
+#
+# [LOW branch] 고해상도 feature map → 국소 위조 흔적 포착에 특화
+# - hirescam : activation * gradient element-wise 곱, 업샘플링 없이 원본 해상도 유지
+# → 픽셀 단위 경계가 가장 선명 (aug_smooth: O, eigen_smooth: X)
+# - gradcamelementwise : 각 위치별 gradient 부호 고려 후 ReLU → 노이즈 억제, 국소 영역 정밀 (aug_smooth: O, eigen_smooth: O)
+# - layercam : positive gradient로 activation 공간 가중합산
+# → 얕은 레이어에서도 안정적, 텍스처/경계 검출에 강함 (aug_smooth: O, eigen_smooth: O)
+#
+# [HIGH branch] 저해상도 semantic feature map → 전체 구조 파악에 특화
+# - eigengradcam : activation * gradient 의 첫 번째 주성분
+# → 클래스 판별력 유지하면서 GradCAM보다 부드럽고 EigenCAM보다 정확 (aug_smooth: O, eigen_smooth: X)
+# - gradcamplusplus : 2차 gradient 활용 → 다중 위조 영역 동시 포착, 작은 영역에 강함 (aug_smooth: O, eigen_smooth: X)
+# - xgradcam : gradient를 normalized activation으로 스케일링
+# → attribution 합이 logit 변화량과 수학적으로 일치, 충실도 높음 (aug_smooth: O, eigen_smooth: O)
+
+_LOW_ALLOWED = {"hirescam", "gradcamelementwise", "layercam"}
+_HIGH_ALLOWED = {"eigengradcam", "gradcamplusplus", "xgradcam"}
+_EIGEN_ALLOWED = {"gradcamelementwise", "layercam", "xgradcam"}
+
+
+class ExplainImageRequest(BaseModel):
+ """
+ [이미지 시각화 요청] 딥페이크 이미지 위조 흔적 CAM 시각화 파라미터
+
+ - routes: explain (POST /explain/image/{image_id})
+ - services: explain_svc.process_explain_image_task
+ """
+ model_type: Literal["fast", "pro"] = Field("fast",
+ description="추론 모드 (fast: 속도 우선, pro: 정확도 우선)")
+
+ branch_level: Literal["low","high"] = Field("high",
+ description="브랜치 레벨\nlow: 국소 위조 흔적 포착\nhigh: 전역 위조 흔적 포착")
+
+ explainer_type: str = Field("eigengradcam",
+ description = ("선택 가능한 XAI 기법. low: [hirescam, gradcamelementwise, layercam], ""high: [eigengradcam, gradcamplusplus, xgradcam]"))
+
+ display_type: Literal["heatmap", "bbox", "heatmap_bbox"] = Field("heatmap_bbox",
+ description="시각화 형태. heatmap: 전체 분포, bbox: 위조 의심 영역 사각형, heatmap_bbox: 위조 의심 사각형 내부에 블러 처리된 히트맵을 중첩")
+
+ overlay_ratio: float = Field(0.7, ge=0.5, le=1.0,
+ description = "Heatmap 투명도 (0: 히트맵만 강조, 1: 원본 이미지 위주)")
+
+ threshold: float = Field(0.9, ge=0.5, le=1.0,
+ description="contour/bbox 이진화 임계값 (0.0~1.0)")
+
+ aug_smooth: bool = Field(False,
+ description = "TTA(Test Time Augmentation) 적용 여부. 히트맵을 더 객체 중심적으로 정렬")
+
+ eigen_smooth: bool = Field(False,
+ description = "PCA 기반 노이즈 제거. 지배적인 패턴만 남김")
+
+ @model_validator(mode="after")
+ def validate_explainer_for_branch(self) -> "ExplainImageRequest":
+ branch_allowed = {"low": _LOW_ALLOWED, "high": _HIGH_ALLOWED}
+ if self.explainer_type not in branch_allowed[self.branch_level]:
+ raise ValueError(
+ f"branch_level='{self.branch_level}'에서 허용된 기법: "
+ f"{sorted(branch_allowed[self.branch_level])} "
+ f"(입력값: '{self.explainer_type}')"
+ )
+ return self
+
+ @model_validator(mode="after")
+ def validate_explainer_for_eigen_smooth(self) -> "ExplainImageRequest":
+ if self.eigen_smooth and self.explainer_type not in _EIGEN_ALLOWED:
+ raise ValueError(
+ f"eigen_smooth가 허용된 기법: "
+ f"{sorted(_EIGEN_ALLOWED)} "
+ f"(입력값: '{self.explainer_type}')"
+ )
+ return self
+
+class ExplainFrameRequest(ExplainImageRequest):
+ """
+ [프레임 시각화 요청] 딥페이크 비디오 프레임 위조 흔적 CAM 시각화 파라미터
+
+ ExplainImageRequest와 동일한 파라미터를 사용하며, 비디오 특정 프레임 단위 시각화에 적용된다.
+
+ - routes: explain (POST /explain/video/{video_id}/frame/{frame_index})
+ - services: explain_svc.process_explain_frame_task
+ """
+ pass
\ No newline at end of file
diff --git a/App/schemas/image_schema.py b/App/schemas/image_schema.py
new file mode 100644
index 0000000..7b42ca7
--- /dev/null
+++ b/App/schemas/image_schema.py
@@ -0,0 +1,57 @@
+from datetime import datetime
+from pydantic import BaseModel, Field
+
+
+class ImageData(BaseModel):
+ """
+ [공통 메타 / 히스토리 목록] 이미지 분석 기본 식별 정보
+
+ 목록 응답으로 직접 사용되며, 상세/추론 결과 스키마의 베이스가 된다.
+
+ - routes: image (GET /image/history)
+ - services: image_svc.get_user_histories
+ - 상속처: ImageDetailData, ImageResultData
+ """
+ image_id: int = Field(..., description="이미지 분석 레코드 고유 ID (image_result.id)")
+ image_loc: str = Field(..., description="서버 내 저장된 이미지 파일 경로 (DB 저장 형식, 예: /static/uploads/user@a.com/img_1700000000.png)")
+ label: str = Field(..., description="딥페이크 판정 결과 라벨 (FAKE / REAL / UNKNOWN)")
+ version_type: str = Field(..., description="사용된 모델 버전 (v1 / v2)")
+ model_type: str = Field(..., description="모델 속도/정확도 모드 (fast / pro)")
+ domain_type: str = Field(..., description="얼굴 도메인 타입 (서양인 / 동양인)")
+ created_at: datetime = Field(..., description="분석 요청 생성 시각 (UTC)")
+
+
+class ImageInference(BaseModel):
+ """
+ [추론 상세 결과] 딥페이크 분석 수치 결과
+
+ - 상속 베이스 클래스 (직접 응답 X)
+ - 상속처: ImageDetailData, ImageResultData
+ - services: image_svc.get_user_history, image_svc.get_image_result
+ """
+ score: float = Field(..., description="딥페이크 확률 점수 (0.0~1.0, 0.5 이상이면 FAKE 판정). 분석 실패 시 -1.0")
+ face_conf: float = Field(..., description="얼굴 탐지 신뢰도 (0.0~1.0). 분석 실패 시 -1.0")
+ face_ratio: float = Field(..., description="이미지 내 얼굴이 차지하는 면적 비율 (0.0~1.0). 분석 실패 시 -1.0")
+ face_brightness: float = Field(..., description="얼굴 영역 평균 밝기 값. 분석 실패 시 -1.0")
+ result_msg: str = Field(..., description="분석 결과에 대한 상세 메시지 (성공/경고/실패 사유)")
+
+
+class ImageDetailData(ImageData, ImageInference):
+ """
+ [히스토리 상세] 회원 개별 이미지 분석 상세 결과
+
+ - routes: image (GET /image/history/{image_id}, DELETE /image/history/{image_id} - 내부 조회)
+ - services: image_svc.get_user_history
+ """
+ status: str
+
+
+class ImageResultData(ImageData, ImageInference):
+ """
+ [추론 결과 조회] 분석 진행 상태 + 최종 결과 (회원/비회원 공통)
+
+ - routes: inference (GET /inference/image/{image_id})
+ - services: image_svc.get_image_result
+ """
+ user_id: int | None = Field(None, description="유저 ID. 비회원 분석 요청의 경우 None")
+ status: str = Field(..., description="분석 진행 상태 (PENDING / SUCCESS / WARNING / FAILED)", examples=["SUCCESS"])
\ No newline at end of file
diff --git a/App/schemas/video_schema.py b/App/schemas/video_schema.py
new file mode 100644
index 0000000..1b9c443
--- /dev/null
+++ b/App/schemas/video_schema.py
@@ -0,0 +1,69 @@
+from datetime import datetime
+from pydantic import BaseModel, Field
+
+class VideoData(BaseModel):
+ """
+ [히스토리 목록] 사용자 전체 비디오 히스토리 조회
+
+ - routes: video (GET /video/history)
+ - services: video_svc.get_user_histories
+ """
+ id: int = Field(..., description="비디오 분석 레코드 고유 ID (video_result.id)")
+ user_id: int | None = Field(None, description="분석 요청 유저 ID. 비회원의 경우 None")
+ video_loc: str = Field(..., description="서버 내 저장된 비디오 파일 경로 (예: /static/uploads/user@a.com/vid_1700000000.mp4)")
+ status: str = Field(..., description="분석 진행 상태 (PENDING / SUCCESS / WARNING / FAILED)")
+ label: str = Field(..., description="딥페이크 판정 결과 라벨 (FAKE / REAL / UNKNOWN)")
+ version_type: str = Field(..., description="사용된 모델 버전 (v1 / v2)")
+ model_type: str = Field(..., description="모델 속도/정확도 모드 (fast / pro)")
+ domain_type: str = Field(..., description="얼굴 도메인 타입 (서양인 / 동양인)")
+ created_at: datetime = Field(..., description="분석 요청 생성 시각 (UTC)")
+
+class VideoDetailData(VideoData):
+ """
+ [히스토리 상세 / 추론 결과] 개별 비디오 상세 + 추론 수치 결과
+
+ - routes: video (GET /video/history/{video_id}), inference (GET /inference/video/{video_id})
+ - services: video_svc.get_user_history, video_svc.get_video_result
+ """
+ score: float = Field(..., description="비디오 전체 평균 딥페이크 확률 (0.0~1.0). 실패 시 -1.0")
+ face_conf: float = Field(..., description="평균 얼굴 탐지 신뢰도. 실패 시 -1.0")
+ face_ratio: float = Field(..., description="평균 얼굴 면적 비율. 실패 시 -1.0")
+ face_brightness: float = Field(..., description="평균 얼굴 영역 밝기. 실패 시 -1.0")
+ result_msg: str = Field(..., description="분석 결과 상세 메시지")
+
+class VideoFrameData(BaseModel):
+ """
+ [프레임별 추론 결과] 비디오 프레임 단위 분석 결과
+
+ - routes: inference (GET /inference/video/{video_id}/detail 응답 내부)
+ - services: video_svc.get_video_frame_result, save_video_frame_result
+ """
+ frame_index: int = Field(..., description="비디오 내 프레임 인덱스 (0부터 시작)")
+ frame_time: float = Field(..., description="해당 프레임의 영상 내 재생 시점 (초 단위)")
+ score: float = Field(..., description="해당 프레임의 딥페이크 확률 점수 (0.0~1.0)")
+ face_conf: float = Field(..., description="해당 프레임 얼굴 탐지 신뢰도")
+ face_ratio: float = Field(..., description="해당 프레임 얼굴 면적 비율")
+ face_brightness: float = Field(..., description="해당 프레임 얼굴 영역 밝기")
+
+class VideoMetaData(BaseModel):
+ """
+ [비디오 메타 정보] 비디오 전체 프레임 처리 통계
+
+ - routes: inference (GET /inference/video/{video_id}/detail 응답 내부)
+ - services: video_svc.get_video_meta_result, save_video_meta_result
+ """
+ fps: float = Field(..., description="비디오의 초당 프레임 수 (Frames Per Second)")
+ total_frames: int = Field(..., description="비디오 전체 프레임 수")
+ num_sampled: int = Field(..., description="추론을 위해 샘플링한 프레임 수")
+ num_extracted: int = Field(..., description="실제로 추출에 성공한 프레임 수")
+ num_detected: int = Field(..., description="얼굴 탐지에 성공한 프레임 수 (score 산출 성공)")
+
+class VideoDetailResponse(BaseModel):
+ """
+ [상세 분석 최종 응답] 비디오 상세 분석 화면용 통합 응답
+
+ 사용처:
+ - routes: inference (GET /inference/video/{video_id}/detail) - 로그인 유저 전용
+ """
+ meta: VideoMetaData = Field(..., description="비디오 메타 정보 (FPS, 프레임 수 등)")
+ frames: list[VideoFrameData] = Field(..., description="프레임별 상세 분석 결과 리스트 (frame_index 오름차순)")
\ No newline at end of file
diff --git a/App/services/auth_svc.py b/App/services/auth_svc.py
new file mode 100644
index 0000000..139761f
--- /dev/null
+++ b/App/services/auth_svc.py
@@ -0,0 +1,138 @@
+from fastapi import status
+from fastapi.exceptions import HTTPException
+from passlib.context import CryptContext
+from sqlalchemy import text, Connection
+from sqlalchemy.exc import SQLAlchemyError
+from schemas.auth_schema import UserData, UserDataPASS
+
+# 비밀번호 암호화 및 검증
+pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
+
+def get_hashed_password(password: str) -> str:
+ """평문 비밀번호를 bcrypt 알고리즘으로 해싱한다.
+
+ Args:
+ password (str): 사용자가 입력한 평문 비밀번호.
+
+ Returns:
+ str: bcrypt 해싱된 비밀번호 문자열.
+ """
+ return pwd_context.hash(password)
+
+def verify_password(plain_password: str, hashed_password: str) -> bool:
+ """평문 비밀번호와 해시된 비밀번호의 일치 여부를 검증한다.
+
+ Args:
+ plain_password (str): 사용자가 입력한 평문 비밀번호.
+ hashed_password (str): DB에 저장된 bcrypt 해시 비밀번호.
+
+ Returns:
+ bool: 비밀번호 일치 여부.
+ """
+ return pwd_context.verify(plain_password, hashed_password)
+
+async def get_user_by_email(conn: Connection, email: str) -> UserData | None:
+ """이메일로 사용자를 조회해 중복 가입 여부를 확인한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ email (str): 조회할 이메일 주소.
+
+ Returns:
+ UserData | None: 이메일이 존재하면 UserData 반환, 없으면 None.
+
+ Raises:
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 예외 발생 시.
+ """
+ try:
+ query = f"""
+ SELECT id, name, email from user
+ where email = :email
+ """
+
+ stmt = text(query)
+ bind_stmt = stmt.bindparams(email=email)
+ result = await conn.execute(bind_stmt)
+
+ if result.rowcount == 0:
+ return None
+
+ row = result.fetchone()
+ user = UserData(id=row[0], name=row[1], email=row[2])
+
+ result.close()
+ return user
+
+ except SQLAlchemyError as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+ detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="알수없는 이유로 서비스 오류가 발생하였습니다.")
+
+async def register_user(conn: Connection, name: str, email:str, hashed_password: str) -> None:
+ """신규 사용자 정보를 DB에 저장한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ name (str): 사용자 이름.
+ email (str): 사용자 이메일 주소.
+ hashed_password (str): bcrypt 해시 처리된 비밀번호.
+
+ Raises:
+ HTTPException 400: DB INSERT 실패 또는 잘못된 요청 데이터.
+ """
+ try:
+ query = f"""
+ INSERT INTO user(name, email, hashed_password)
+ values (:name, :email, :hashed_password)
+ """
+ stmt = text(query)
+ bind_stmt = stmt.bindparams(name=name, email=email, hashed_password=hashed_password)
+
+ await conn.execute(bind_stmt)
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ print(e)
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST,
+ detail="요청데이터가 제대로 전달되지 않았습니다")
+
+async def authenticate_user(conn: Connection, email: str) -> UserDataPASS | bool:
+ """로그인 시 이메일로 사용자를 조회해 인증 정보를 반환한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ email (str): 로그인 요청 이메일.
+
+ Returns:
+ UserDataPASS | bool: 사용자가 존재하면 UserDataPASS 반환, 없으면 False.
+
+ Raises:
+ HTTPException 400: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ """
+ try:
+ query = """
+ SELECT id, name, email, hashed_password FROM user
+ WHERE email = :email
+ """
+ stmt = text(query).bindparams(email=email)
+ result = await conn.execute(stmt)
+
+ if result.rowcount == 0:
+ return False
+
+ row = result.fetchone()
+
+ user = UserDataPASS(id=row[0], name=row[1], email=row[2], hashed_password=row[3])
+
+ result.close()
+ return user
+ except SQLAlchemyError as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST,
+ detail="요청데이터가 제대로 전달되지 않았습니다")
\ No newline at end of file
diff --git a/App/services/explain_svc.py b/App/services/explain_svc.py
new file mode 100644
index 0000000..5b3cbcf
--- /dev/null
+++ b/App/services/explain_svc.py
@@ -0,0 +1,290 @@
+import cv2
+import asyncio
+import numpy as np
+from fastapi import status
+from fastapi.exceptions import HTTPException
+from sqlalchemy import Connection
+from services import image_svc, inference_svc
+from explainability import (
+ CAMExplainer,
+ HiResCAMExplainer, GradCAMElementWiseExplainer, LayerCAMExplainer,
+ EigenGradCAMExplainer, GradCAMPlusPlusExplainer, XGradCAMExplainer,
+)
+from celery_app import celery_app
+
+# LOW branch: 국소 위조 흔적 포착 / HIGH branch: 전역 위조 흔적 포착
+EXPLAINER_REGISTRY = {
+ "hirescam": HiResCAMExplainer, # LOW branch
+ "gradcamelementwise": GradCAMElementWiseExplainer, # LOW branch
+ "layercam": LayerCAMExplainer, # LOW branch
+ "eigengradcam": EigenGradCAMExplainer, # HIGH branch
+ "gradcamplusplus": GradCAMPlusPlusExplainer, # HIGH branch
+ "xgradcam": XGradCAMExplainer, # HIGH branch
+}
+
+_explainer_cache: dict = {}
+
+def _extract_face_from_frame(video_path: str, frame_time: float, explainer: CAMExplainer) -> np.ndarray:
+ """비디오의 특정 시간대 프레임에서 얼굴 영역을 추출해 크롭된 배열을 반환한다.
+
+ Args:
+ video_path (str): 비디오 파일 경로.
+ frame_time (float): 프레임을 추출할 시간 (초 단위).
+ explainer (CAMExplainer): 얼굴 감지 및 크롭에 사용할 CAMExplainer 인스턴스.
+
+ Returns:
+ np.ndarray: 크롭된 얼굴 이미지 배열 (RGB).
+ """
+ cap = cv2.VideoCapture(video_path)
+ cap.set(cv2.CAP_PROP_POS_MSEC, frame_time * 1000)
+ ret, frame = cap.read()
+ cap.release()
+
+ frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+ bbox = explainer._get_face_bbox(frame_rgb)
+
+ return explainer._crop_face(frame_rgb, bbox[:4])
+
+def _get_or_create_explainer(model_name: str, dataset: str, explain_req_dict: dict) -> CAMExplainer:
+ """캐시에서 CAMExplainer를 조회하거나, 없으면 새로 생성해 캐싱 후 반환한다.
+
+ 캐시 키는 (model_name, dataset, explainer_type, branch_level) 4개 파라미터로 구성된다.
+ 추론 시점 파라미터(aug_smooth, threshold 등)는 키에서 제외해 메모리 사용을 최소화한다.
+
+ Args:
+ model_name (str): 추론에 사용할 모델 이름.
+ dataset (str): 모델 학습에 사용된 데이터셋 이름.
+ explain_req_dict (dict): 시각화 요청 파라미터 딕셔너리.
+ - explainer_type (str): EXPLAINER_REGISTRY 키값.
+ - branch_level (str): 모델 브랜치 레벨 ("LOW" | "HIGH").
+
+ Returns:
+ CAMExplainer: 캐시된 또는 새로 생성된 CAMExplainer 인스턴스.
+ """
+ cache_key = (model_name, dataset, explain_req_dict["explainer_type"], explain_req_dict["branch_level"])
+
+ if cache_key not in _explainer_cache:
+ _explainer_cache[cache_key] = EXPLAINER_REGISTRY[explain_req_dict["explainer_type"]](
+ model_name = model_name,
+ dataset = dataset,
+ branch_level = explain_req_dict["branch_level"],
+ )
+ return _explainer_cache[cache_key]
+
+def _run_visualization(explainer: CAMExplainer, image_path: str, category: int, explain_req_dict: dict) -> np.ndarray:
+ """이미지 경로를 받아 display_type에 따라 시각화 이미지를 생성한다.
+
+ Args:
+ explainer (CAMExplainer): 시각화에 사용할 CAMExplainer 인스턴스.
+ image_path (str): 입력 이미지 파일 경로.
+ category (int): 타겟 클래스 인덱스 (위조: 1, 정상: 0).
+ explain_req_dict (dict): 시각화 요청 파라미터 딕셔너리.
+ - display_type (str): "heatmap" | "bbox" | "heatmap_bbox"
+ - overlay_ratio (float): 히트맵 오버레이 시 원본 이미지 가중치.
+ - threshold (float | str): CAM 이진화 임계값.
+ - aug_smooth (bool): Test-time augmentation 가동 여부.
+ - eigen_smooth (bool): PCA 기반 노이즈 제거 가동 여부.
+
+ Returns:
+ np.ndarray: 시각화가 적용된 얼굴 이미지 (RGB, np.uint8).
+ """
+ if explain_req_dict["display_type"] == "heatmap":
+ return explainer.display_heatmap_on_image(image_path, image_weight=explain_req_dict["overlay_ratio"], threshold=explain_req_dict["threshold"],
+ category=category, aug_smooth=explain_req_dict["aug_smooth"], eigen_smooth=explain_req_dict["eigen_smooth"])
+ elif explain_req_dict["display_type"] == "bbox":
+ return explainer.display_bbox_on_image(image_path, threshold=explain_req_dict["threshold"],
+ category=category, aug_smooth=explain_req_dict["aug_smooth"], eigen_smooth=explain_req_dict["eigen_smooth"])
+ else: # display_type == "heatmap_bbox"
+ return explainer.display_heatmap_bbox_on_image(image_path, image_weight=explain_req_dict["overlay_ratio"], threshold=explain_req_dict["threshold"],
+ category=category, aug_smooth=explain_req_dict["aug_smooth"], eigen_smooth=explain_req_dict["eigen_smooth"])
+
+def _run_visualization_from_array(explainer: CAMExplainer, face: np.ndarray, category: int, explain_req_dict: dict) -> np.ndarray:
+ """크롭된 얼굴 배열을 받아 display_type에 따라 시각화 이미지를 생성한다.
+
+ Args:
+ explainer (CAMExplainer): 시각화에 사용할 CAMExplainer 인스턴스.
+ face (np.ndarray): 전처리(크롭)가 완료된 얼굴 이미지 배열 (RGB).
+ category (int): 타겟 클래스 인덱스 (위조: 1, 정상: 0).
+ explain_req_dict (dict): 시각화 요청 파라미터 딕셔너리. (_run_visualization과 동일)
+
+ Returns:
+ np.ndarray: 시각화가 적용된 얼굴 이미지 (RGB, np.uint8).
+ """
+ if explain_req_dict["display_type"] == "heatmap":
+ return explainer.display_heatmap_from_array(face, image_weight=explain_req_dict["overlay_ratio"], threshold=explain_req_dict["threshold"],
+ category=category, aug_smooth=explain_req_dict["aug_smooth"], eigen_smooth=explain_req_dict["eigen_smooth"])
+ elif explain_req_dict["display_type"] == "bbox":
+ return explainer.display_bbox_from_array(face, threshold=explain_req_dict["threshold"],
+ category=category, aug_smooth=explain_req_dict["aug_smooth"], eigen_smooth=explain_req_dict["eigen_smooth"])
+ else: # display_type == "heatmap_bbox"
+ return explainer.display_heatmap_bbox_from_array(face, image_weight=explain_req_dict["overlay_ratio"], threshold=explain_req_dict["threshold"],
+ category=category, aug_smooth=explain_req_dict["aug_smooth"], eigen_smooth=explain_req_dict["eigen_smooth"])
+
+@celery_app.task(name="process_explain_image_task")
+def process_explain_image_task(user_email: str,
+ version_type: str,
+ domain_type: str,
+ image_loc: str,
+ image_id: int,
+ category: int,
+ explain_req_dict: dict) -> dict:
+ """딥페이크 이미지 위조 흔적 시각화를 처리하는 Celery 비동기 태스크.
+
+ CAMExplainer로 시각화 이미지를 생성하고 서버에 저장한다.
+ Celery 워커(동기) 내에서 asyncio 이벤트 루프를 직접 구동해 비동기 로직을 실행한다.
+
+ Args:
+ user_email (str): 요청 사용자 이메일 (저장 경로 구분용).
+ version_type (str): 모델 버전 타입 (MODEL_CONFIG 키값).
+ domain_type (str): 탐지 도메인 타입 (MODEL_CONFIG 키값).
+ image_loc (str): 분석 대상 이미지의 서버 저장 경로 (DB 기준, '/'로 시작).
+ image_id (int): 이미지 레코드 PK.
+ category (int): 타겟 클래스 인덱스 (위조: 1, 정상: 0).
+ explain_req_dict (dict): 시각화 요청 파라미터 딕셔너리.
+
+ Returns:
+ dict:
+ - status (str): "SUCCESS" | "FAILED"
+ - message (str): 처리 결과 메세지.
+ - cam_loc (str | None): 저장된 시각화 이미지 경로. 실패 시 None.
+
+ Note:
+ 생성된 시각화 파일은 태스크 완료 60초 후 자동 삭제된다.
+ """
+ async def run_explain():
+ cam_loc = None
+ try:
+ model_name, dataset = inference_svc.MODEL_CONFIG[version_type][explain_req_dict["model_type"]][domain_type]
+
+ explainer = _get_or_create_explainer(model_name, dataset, explain_req_dict)
+ image_path = "." + image_loc
+
+ # 시각화 이미지 생성 시작
+ try:
+ image = _run_visualization(explainer, image_path, category, explain_req_dict)
+ except Exception:
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="딥페이크 이미지 위조 흔적을 생성하는 중 오류가 발생하였습니다"
+ )
+
+ # 생성된 시각화 이미지 파일 저장
+ try:
+ cam_loc = await image_svc.upload_image_cam(user_email, image_id, image)
+ except Exception:
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="딥페이크 이미지 위조 흔적 파일을 저장하는 중 오류가 발생했습니다."
+ )
+
+ return {"status": "SUCCESS",
+ "message": "딥페이크 이미지 위조 흔적 시각화가 성공적으로 이루어졌습니다",
+ "cam_loc": cam_loc}
+
+ except HTTPException as e:
+ print(e.detail)
+ return {"status": "FAILED", "message": str(e.detail)}
+
+ except Exception as e:
+ print(str(e))
+ return {"status": "FAILED", "message": str(e)}
+
+ finally:
+ # 임시 저장된 시각화 이미지 파일 삭제
+ if cam_loc:
+ image_svc.cleanup_image_cam.apply_async(args=[cam_loc], countdown=60)
+
+ # 동기식 Celery 워커 내 비동기 이벤트 루프 구동
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ try:
+ return loop.run_until_complete(run_explain())
+ finally:
+ loop.close()
+
+@celery_app.task(name="process_explain_frame_task")
+def process_explain_frame_task(user_email: str,
+ version_type: str,
+ domain_type: str,
+ video_loc: str,
+ video_id: int,
+ category: int,
+ frame_time: float,
+ explain_req_dict: dict) -> dict:
+ """딥페이크 비디오 특정 프레임의 위조 흔적 시각화를 처리하는 Celery 비동기 태스크.
+
+ 비디오에서 프레임을 추출하고 얼굴을 크롭한 뒤 CAMExplainer로 시각화 이미지를 생성해 저장한다.
+ Celery 워커(동기) 내에서 asyncio 이벤트 루프를 직접 구동해 비동기 로직을 실행한다.
+
+ Args:
+ user_email (str): 요청 사용자 이메일 (저장 경로 구분용).
+ version_type (str): 모델 버전 타입 (MODEL_CONFIG 키값).
+ domain_type (str): 탐지 도메인 타입 (MODEL_CONFIG 키값).
+ video_loc (str): 분석 대상 비디오의 서버 저장 경로 (DB 기준, '/'로 시작).
+ video_id (int): 비디오 레코드 PK.
+ category (int): 타겟 클래스 인덱스 (위조: 1, 정상: 0).
+ frame_time (float): 시각화할 프레임의 타임스탬프 (초 단위).
+ explain_req_dict (dict): 시각화 요청 파라미터 딕셔너리.
+
+ Returns:
+ dict:
+ - status (str): "SUCCESS" | "FAILED"
+ - message (str): 처리 결과 메세지.
+ - cam_loc (str | None): 저장된 시각화 이미지 경로. 실패 시 None.
+
+ Note:
+ 생성된 시각화 파일은 태스크 완료 60초 후 자동 삭제된다.
+ """
+ async def run_explain():
+ cam_loc = None
+ try:
+ model_name, dataset = inference_svc.MODEL_CONFIG[version_type][explain_req_dict["model_type"]][domain_type]
+ video_path = "." + video_loc
+
+ explainer = _get_or_create_explainer(model_name, dataset, explain_req_dict)
+
+ face = _extract_face_from_frame(video_path, frame_time, explainer)
+
+ # 비디오 프레임 시각화 생성 시작
+ try:
+ image = _run_visualization_from_array(explainer, face, category, explain_req_dict)
+ except Exception:
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="딥페이크 비디오 프레임 위조 흔적을 생성하는 중 오류가 발생하였습니다"
+ )
+
+ # 비디오 프레임 시각화 파일 저장
+ try:
+ cam_loc = await image_svc.upload_frame_cam(user_email, video_id, frame_time, image)
+ except Exception:
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="딥페이크 비디오 프레임 위조 흔적 파일을 저장하는 중 오류가 발생했습니다."
+ )
+
+ return {"status": "SUCCESS",
+ "message": "딥페이크 비디오 프레임 위조 흔적 시각화가 성공적으로 이루어졌습니다",
+ "cam_loc": cam_loc}
+
+ except HTTPException as e:
+ print(e.detail)
+ return {"status": "FAILED", "message": str(e.detail)}
+
+ except Exception as e:
+ print(str(e))
+ return {"status": "FAILED", "message": str(e)}
+
+ finally:
+ # 임시 저장된 비디오 프레임 시각화 파일 삭제
+ if cam_loc:
+ image_svc.cleanup_image_cam.apply_async(args=[cam_loc], countdown=60)
+
+ # 동기식 Celery 워커 내 비동기 이벤트 루프 구동
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ try:
+ return loop.run_until_complete(run_explain())
+ finally:
+ loop.close()
+
diff --git a/App/services/image_svc.py b/App/services/image_svc.py
new file mode 100644
index 0000000..21f3d4e
--- /dev/null
+++ b/App/services/image_svc.py
@@ -0,0 +1,524 @@
+import os
+import time
+import cv2
+import numpy as np
+import aiofiles as aio
+import asyncio
+from dotenv import load_dotenv
+from fastapi import UploadFile, status
+from fastapi.exceptions import HTTPException
+from sqlalchemy import text, Connection
+from sqlalchemy.exc import SQLAlchemyError
+from schemas.image_schema import ImageData, ImageDetailData, ImageResultData
+from db.database import celery_db_conn
+from celery_app import celery_app
+
+
+load_dotenv()
+UPLOAD_DIR = os.getenv("UPLOAD_DIR", "./static/uploads")
+EXPLAIN_UPLOAD_DIR = os.getenv("EXPLAIN_UPLOAD_DIR", "./static/explain")
+
+os.makedirs(EXPLAIN_UPLOAD_DIR, exist_ok=True)
+os.makedirs(UPLOAD_DIR, exist_ok=True)
+
+async def upload_image(user_email: str | None, imagefile: UploadFile) -> str:
+ """업로드된 이미지를 서버에 저장하고 DB 저장용 경로를 반환한다. 회원/비회원 공통.
+
+ Args:
+ user_email (str | None): 로그인 사용자 이메일. 비회원이면 None.
+ imagefile (UploadFile): FastAPI 업로드 파일 객체.
+
+ Returns:
+ str: 저장된 이미지의 DB 기준 경로 ('/'로 시작, '\\' 정규화됨).
+
+ Raises:
+ HTTPException 500: 파일 쓰기 또는 예기치 못한 오류 발생 시.
+ """
+ try:
+ # 사용자별 하위 디렉토리 결정
+ sub_dir = user_email if user_email else "anonymous"
+
+ user_dir = os.path.join(UPLOAD_DIR, sub_dir)
+
+ # 디렉토리 존재 확인 및 생성
+ os.makedirs(user_dir, exist_ok=True)
+
+ # 파일명 중복 방지 (파일명_타임스탬프.확장자)
+ filename_only, ext = os.path.splitext(imagefile.filename)
+
+ upload_filename = f"{filename_only}_{int(time.time())}{ext}"
+ upload_image_loc = os.path.join(user_dir, upload_filename)
+
+ # 비동기 이미지 저장 (Chunk 단위 읽기)
+ try:
+ async with aio.open(upload_image_loc, "wb") as outfile:
+ while content := await imagefile.read(1024 * 1024):
+ await outfile.write(content)
+ except Exception as e:
+ print(f"[File Error] 파일 쓰기 실패: {e}")
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="이미지 파일을 저장하는 중 오류가 발생했습니다."
+ )
+
+ # 6. DB 저장용 경로 반환
+ return upload_image_loc[1:].replace("\\", "/")
+
+ except HTTPException:
+ raise
+
+ except Exception as e:
+ print(f"[Unknown Error] {e}")
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="이미지 업로드 과정에서 예상치 못한 오류가 발생했습니다.")
+
+async def upload_image_cam(user_email: str, image_id: int, image: np.ndarray) -> str:
+ """CAM 시각화 이미지를 서버에 저장하고 DB 저장용 경로를 반환한다. 회원 전용.
+
+ Args:
+ user_email (str): 요청 사용자 이메일 (저장 경로 구분용).
+ image_id (int): 이미지 레코드 PK (파일명 구성에 사용).
+ image (np.ndarray): 저장할 시각화 이미지 배열 (RGB).
+
+ Returns:
+ str: 저장된 CAM 이미지의 DB 기준 경로 ('/'로 시작).
+
+ Raises:
+ Exception: 파일 쓰기 실패 시 그대로 re-raise.
+ """
+ user_dir = os.path.join(EXPLAIN_UPLOAD_DIR, user_email)
+ os.makedirs(user_dir, exist_ok=True)
+
+ cam_filename = f"{image_id}_{int(time.time())}.png"
+ cam_loc = os.path.join(user_dir, cam_filename)
+
+ image_bgr = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+ _, buf = cv2.imencode(".png", image_bgr)
+
+ try:
+ async with aio.open(cam_loc, "wb") as outfile:
+ await outfile.write(buf.tobytes())
+ except Exception as e:
+ raise e
+
+ return cam_loc[1:].replace("\\", "/")
+
+async def upload_frame_cam(user_email: str, video_id: int, frame_time: float, image: np.ndarray) -> str:
+ """비디오 프레임 CAM 시각화 이미지를 서버에 저장하고 DB 저장용 경로를 반환한다. 회원 전용.
+
+ Args:
+ user_email (str): 요청 사용자 이메일 (저장 경로 구분용).
+ video_id (int): 비디오 레코드 PK (파일명 구성에 사용).
+ frame_time (float): 시각화한 프레임의 타임스탬프 (초 단위, 파일명 구성에 사용).
+ image (np.ndarray): 저장할 시각화 이미지 배열 (RGB).
+
+ Returns:
+ str: 저장된 CAM 이미지의 DB 기준 경로 ('/'로 시작).
+
+ Raises:
+ Exception: 파일 쓰기 실패 시 그대로 re-raise.
+ """
+ user_dir = os.path.join(EXPLAIN_UPLOAD_DIR, user_email)
+ os.makedirs(user_dir, exist_ok=True)
+
+ cam_filename = f"v{video_id}_t{frame_time}_{int(time.time())}.png"
+ cam_loc = os.path.join(user_dir, cam_filename)
+
+ image_bgr = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+ _, buf = cv2.imencode(".png", image_bgr)
+
+ try:
+ async with aio.open(cam_loc, "wb") as outfile:
+ await outfile.write(buf.tobytes())
+ except Exception as e:
+ raise e
+
+ return cam_loc[1:].replace("\\", "/")
+
+async def delete_image(image_loc: str):
+ """서버에서 이미지 물리 파일을 삭제한다.
+
+ 파일이 존재하지 않으면 경고 로그만 출력하고 정상 종료한다.
+
+ Args:
+ image_loc (str): 삭제할 이미지의 DB 기준 경로 ('/'로 시작).
+
+ Raises:
+ HTTPException 500: 파일 삭제 중 예기치 못한 오류 발생 시.
+ """
+ try:
+
+ file_path = "." + image_loc
+
+ if os.path.exists(file_path):
+ os.remove(file_path)
+ else:
+ print(f"File not found: {file_path}")
+
+ except Exception:
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="알수없는 이유로 문제가 발생하였습니다."
+ )
+
+async def delete_image_db(conn: Connection, image_id: int):
+ """DB에서 이미지 레코드를 삭제한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ image_id (int): 삭제할 이미지 레코드 PK.
+
+ Raises:
+ HTTPException 404: 해당 image_id 레코드가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ delete_query = text("DELETE FROM image_result WHERE id = :image_id")
+ result = await conn.execute(delete_query, {"image_id": image_id})
+
+ if result.rowcount == 0:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"해당 이미지 id {image_id}는(은) 존재하지 않아 삭제할 수 없습니다.")
+
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE, detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+
+ except HTTPException:
+ raise
+
+ except Exception as e:
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+@celery_app.task(name="cleanup_anonymous_image")
+def cleanup_anonymous_image(image_id: int, image_loc: str):
+ """비회원 이미지 DB 레코드 및 물리 파일을 삭제하는 Celery 태스크.
+
+ DB 삭제와 파일 삭제는 독립적으로 처리되어 한쪽 실패가 다른쪽에 영향을 주지 않는다.
+
+ Args:
+ image_id (int): 삭제할 이미지 레코드 PK.
+ image_loc (str): 삭제할 이미지의 DB 기준 경로.
+ """
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ try:
+ async def _delete():
+ async with celery_db_conn() as conn:
+ success = True
+ try:
+ await delete_image_db(conn, image_id)
+ except Exception as e:
+ print(f"[Cleanup] 이미지 DB 삭제 실패 - image_id: {image_id}, error: {e}")
+ success=False
+ try:
+ await delete_image(image_loc)
+ except Exception as e:
+ print(f"[Cleanup] 이미지 파일 삭제 실패 - image_loc: {image_loc}, error: {e}")
+ success=False
+
+ if success:
+ print(f"[Cleanup] 비회원 이미지 삭제 프로세스 완료 - image_id: {image_id}, image_loc: {image_loc}")
+
+ loop.run_until_complete(_delete())
+
+ finally:
+ loop.close()
+
+@celery_app.task(name="cleanup_image_cam")
+def cleanup_image_cam(cam_loc: str):
+ """CAM 시각화 파일을 삭제하는 Celery 태스크.
+
+ 이미지/비디오 프레임 시각화 파일 모두 이 태스크로 정리한다.
+
+ Args:
+ cam_loc (str): 삭제할 CAM 시각화 파일의 DB 기준 경로.
+ """
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ try:
+ async def _delete():
+ try:
+ await delete_image(cam_loc)
+ print(f"[Cleanup] 이미지 시각화 파일 삭제 완료 - cam_loc: {cam_loc}")
+ except Exception as e:
+ print(f"[Cleanup] 이미지 시각화 파일 삭제 실패 - cam_loc: {cam_loc}, error: {e}")
+
+ loop.run_until_complete(_delete())
+
+ finally:
+ loop.close()
+
+async def register_image_result(conn: Connection, user_id: int | None, image_loc: str,
+ version_type: str, model_type: str, domain_type: str):
+ """PENDING 상태의 빈 이미지 레코드를 DB에 생성하고 image_id를 반환한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ user_id (int | None): 로그인 사용자 ID. 비회원이면 None.
+ image_loc (str): 업로드된 이미지의 DB 기준 경로.
+ version_type (str): 모델 버전 타입.
+ model_type (str): 추론 모드 ("fast" | "pro").
+ domain_type (str): 탐지 도메인.
+
+ Returns:
+ int: 생성된 이미지 레코드의 PK (auto_increment).
+
+ Raises:
+ HTTPException 400: DB INSERT 실패 시. 업로드된 물리 파일도 함께 롤백 삭제된다.
+ """
+ try:
+ query = """
+ INSERT INTO image_result (
+ user_id, image_loc, status, label, score, face_conf, face_ratio,
+ face_brightness, version_type, model_type, domain_type, result_msg
+ )
+ VALUES (
+ :user_id, :image_loc, 'PENDING', 'UNKNOWN', -1.0, -1.0, -1.0,
+ -1.0, :version_type, :model_type, :domain_type, '분석 대기 중...')
+ """
+
+ stmt = text(query)
+ result = await conn.execute(stmt, {
+ "user_id": user_id,
+ "image_loc": image_loc,
+ "version_type": version_type,
+ "model_type": model_type,
+ "domain_type": domain_type
+ })
+ await conn.commit()
+
+ # MySQL에서 방금 생성된 auto_increment ID 가져오기
+ return result.lastrowid
+
+ except SQLAlchemyError as e:
+ print(f"DB Insert Error: {e}")
+ await conn.rollback()
+ await delete_image(image_loc)
+ raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST,
+ detail="요청데이터가 제대로 전달되지 않았습니다")
+
+async def update_image_result(conn: Connection, image_id: int, analysis: dict,
+ result_msg: str, status: str):
+ """추론 완료 후 이미지 레코드에 분석 결과를 업데이트한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ image_id (int): 업데이트할 이미지 레코드 PK.
+ analysis (dict): 추론 결과값. prob, face_conf, face_ratio, face_brightness 포함.
+ result_msg (str): 처리 결과 메세지.
+ status (str): 추론 상태 ("success" | "warning" | "failed").
+
+ Raises:
+ SQLAlchemyError: DB 업데이트 실패 시 그대로 re-raise.
+ """
+ # status 종류: success, warning, failed
+ # success: 이미지 추론 성공
+ # warning: 이미지 추론 과정 PredictError 발생
+ # failed: 이미지 추론 과정 알수 없는 오류 발생
+
+ if status == 'success':
+ label = "FAKE" if analysis["prob"] > 0.5 else "REAL"
+ else:
+ label = "UNKNOWN"
+ try:
+ query = """
+ UPDATE image_result
+ SET status = :status,
+ label = :label,
+ score = :score,
+ face_conf = :face_conf,
+ face_ratio = :face_ratio,
+ face_brightness = :face_brightness,
+ result_msg = :result_msg
+ WHERE id = :image_id
+ """
+
+ db_status = status.upper()
+
+ stmt = text(query)
+ await conn.execute(stmt, {
+ "status": db_status,
+ "label": label,
+ "score": analysis["prob"],
+ "face_conf": analysis["face_conf"],
+ "face_ratio": analysis["face_ratio"],
+ "face_brightness": analysis["face_brightness"],
+ "result_msg": result_msg,
+ "image_id": image_id
+ })
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ await conn.rollback()
+ raise e
+
+async def get_image_result(conn: Connection, image_id: int):
+ """image_id로 이미지 분석 결과를 조회해 반환한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ image_id (int): 조회할 이미지 레코드 PK.
+
+ Returns:
+ ImageData_indi: 이미지 분석 결과 스키마 객체.
+
+ Raises:
+ HTTPException 404: 해당 image_id 레코드가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ query = text("""
+ SELECT id, user_id, image_loc, status, label, score, face_conf, face_ratio,
+ face_brightness, version_type, model_type, domain_type, result_msg, created_at
+ FROM image_result
+ WHERE id = :image_id
+ """)
+ result = await conn.execute(query, {"image_id": image_id})
+
+ if result.rowcount == 0:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND,
+ detail=f"요청하신 이미지 분석 결과(ID: {image_id})를 찾을 수 없습니다. ID를 다시 확인해주세요.")
+ row = result.fetchone()
+
+ image_data = ImageResultData(
+ image_id = row.id,
+ user_id = row.user_id,
+ image_loc = row.image_loc,
+ status = row.status,
+ label = row.label,
+ score = row.score,
+ face_conf = row.face_conf,
+ face_ratio = row.face_ratio,
+ face_brightness = row.face_brightness,
+ version_type = row.version_type,
+ model_type = row.model_type,
+ domain_type = row.domain_type,
+ result_msg = row.result_msg,
+ created_at = row.created_at,
+ )
+
+ result.close()
+ return image_data
+
+ except SQLAlchemyError as e:
+ print(f"이미지 분석 결과값 가져오기 실패: {e}")
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+ detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+ except HTTPException:
+ raise
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="알수없는 이유로 문제가 발생하였습니다.")
+
+async def get_user_histories(conn: Connection, user_id: int):
+ """사용자의 전체 이미지 분석 히스토리를 최신순으로 조회한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ user_id (int): 조회할 사용자 PK.
+
+ Returns:
+ list[ImageData]: 이미지 히스토리 스키마 리스트. 결과 없으면 빈 리스트.
+
+ Raises:
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ # SQL에 맞춰 테이블명과 컬럼 변경
+ query = ("""
+ SELECT id, image_loc, label, version_type, model_type, domain_type, created_at
+ FROM image_result
+ WHERE user_id = :user_id
+ ORDER BY created_at DESC;
+ """)
+ stmt = text(query)
+ result = await conn.execute(stmt, {"user_id": user_id})
+
+ user_histories = [ImageData(
+ image_id = row.id,
+ image_loc = row.image_loc,
+ label = row.label,
+ version_type = row.version_type,
+ model_type = row.model_type,
+ domain_type = row.domain_type,
+ created_at = row.created_at
+ ) for row in result]
+
+ result.close()
+ return user_histories
+
+ except SQLAlchemyError as e:
+ print(f"히스토리 조회 실패: {e}")
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE, detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+async def get_user_history(conn: Connection, image_id: int):
+ """image_id로 이미지 개별 상세 히스토리를 조회한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ image_id (int): 조회할 이미지 레코드 PK.
+
+ Returns:
+ ImageDetailData | None: 상세 히스토리 스키마 객체. 레코드 없으면 None.
+
+ Raises:
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ query = """
+ SELECT id, image_loc, status, label, score, face_conf, face_ratio, face_brightness, version_type, model_type, domain_type, result_msg, created_at
+ FROM image_result
+ WHERE id = :image_id;
+ """
+ stmt = text(query)
+ result = await conn.execute(stmt, {"image_id": image_id})
+
+ row = result.fetchone()
+ if row is None:
+ return None
+
+ user_history = ImageDetailData(
+ image_id = row.id,
+ image_loc = row.image_loc,
+ status = row.status,
+ label = row.label,
+ score = row.score,
+ face_conf = row.face_conf,
+ face_ratio = row.face_ratio,
+ face_brightness = row.face_brightness,
+ version_type = row.version_type,
+ model_type = row.model_type,
+ domain_type = row.domain_type,
+ result_msg = row.result_msg,
+ created_at = row.created_at
+ )
+
+ result.close()
+
+ return user_history
+
+ except SQLAlchemyError as e:
+ print(f"히스토리 조회 실패: {e}")
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE, detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+
+ except HTTPException:
+ raise
+
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
\ No newline at end of file
diff --git a/App/services/inference_svc.py b/App/services/inference_svc.py
new file mode 100644
index 0000000..d96838e
--- /dev/null
+++ b/App/services/inference_svc.py
@@ -0,0 +1,317 @@
+import asyncio
+from typing import Literal
+from fastapi import status, Depends
+from fastapi.exceptions import HTTPException
+from sqlalchemy import text, Connection
+from sqlalchemy.exc import SQLAlchemyError
+from services import image_svc, video_svc
+from db.database import celery_db_conn
+from celery_app import celery_app
+from inference.image_predictor_prt import ImagePredictor
+from inference.video_predictor_prt import VideoPredictor
+from inference.utils import PredictorError
+
+MODEL_CONFIG = {
+ 'v1': {
+ 'fast': {'서양인': ("ms_eff_vit_b0", "ff++")},
+ 'pro': {'서양인': ("ms_eff_vit_b5", "ff++")}
+ },
+ 'v2': {
+ 'fast': {
+ '서양인': ("ms_eff_gcvit_b0", "ff++"),
+ '동양인': ("ms_eff_gcvit_b0", "kodf")
+ },
+ 'pro': {
+ '서양인': ("ms_eff_gcvit_b5", "ff++"),
+ '동양인': ("ms_eff_gcvit_b5", "kodf")
+ }
+ }
+}
+
+_image_cache: dict = {}
+_video_cache: dict = {}
+
+def _get_or_create_predictor(
+ model_name: str,
+ dataset: str,
+ predictor_mode: Literal["image", "video"],
+) -> ImagePredictor | VideoPredictor:
+ """캐시에서 Predictor를 조회하거나, 없으면 새로 생성해 캐싱 후 반환한다.
+
+ 이미지/비디오 캐시를 분리 관리해 모드별 독립적인 인스턴스를 유지한다.
+
+ Args:
+ model_name (str): 추론에 사용할 모델 아키텍처 이름.
+ dataset (str): 모델 학습에 사용된 데이터셋 이름.
+ predictor_mode (Literal["image", "video"]): Predictor 종류 선택.
+
+ Returns:
+ ImagePredictor | VideoPredictor: 캐시된 또는 새로 생성된 Predictor 인스턴스.
+ """
+ cache_key = (model_name, dataset)
+
+ if predictor_mode == "image":
+ if cache_key not in _image_cache:
+ _image_cache[cache_key] = ImagePredictor(
+ margin_ratio=0.2,
+ conf_thres=0.5,
+ model_name=model_name,
+ dataset=dataset,
+ )
+ return _image_cache[cache_key]
+
+ if cache_key not in _video_cache:
+ _video_cache[cache_key] = VideoPredictor(
+ margin_ratio=0.2,
+ conf_thres=0.5,
+ model_name=model_name,
+ dataset=dataset,
+ )
+ return _video_cache[cache_key]
+
+def predict_image(image_loc: str, version_type: str, model_type: str, domain_type: str) -> dict:
+ """이미지 경로를 받아 딥페이크 여부를 추론하고 분석 결과를 반환한다.
+
+ Args:
+ image_loc (str): 추론 대상 이미지의 서버 저장 경로 (DB 기준, '/'로 시작).
+ version_type (str): 모델 버전 타입 (MODEL_CONFIG 키값).
+ model_type (str): 추론 모드 ("fast" | "pro").
+ domain_type (str): 탐지 도메인 ("서양인" | "동양인").
+
+ Returns:
+ dict:
+ - analysis (dict): prob, face_conf, face_ratio, face_brightness 포함.
+ 얼굴 미감지 또는 오류 발생 시 모든 값 -1.
+ - message (str): 처리 결과 메세지.
+ - status (str): "success" | "warning" | "failed"
+ """
+
+ model_name, dataset = MODEL_CONFIG[version_type][model_type][domain_type]
+
+ predictor = _get_or_create_predictor(model_name, dataset, "image")
+ image_path = "." + image_loc
+
+ try:
+ analysis = predictor.predict_img(image_path)
+
+ print(f"딥페이크 확률 값: {analysis['prob']}, 얼굴 신뢰도: {analysis['face_conf']}, 얼굴 비율: {analysis['face_ratio']}, 얼굴 밝기: {analysis['face_brightness']}")
+
+ # 분석 성공 시
+ return {
+ "analysis": analysis,
+ "message": "이미지 분석에 성공하였습니다",
+ "status": "success"
+ }
+ except PredictorError as e:
+ print(e.message)
+ return {
+ "analysis": {"prob": -1, "face_conf": -1, "face_ratio": -1, "face_brightness": -1},
+ "message": e.message,
+ "status": "warning",
+ }
+
+ # CUDA Out of Memory, CUDA Device Error, Timm 모드 로델 실패 등..
+ except Exception as e:
+ print(str(e))
+ return {
+ "analysis": {"prob": -1, "face_conf": -1, "face_ratio": -1, "face_brightness": -1},
+ "message": f"이미지 분석 중 치명적인 오류가 발생했습니다.",
+ "status": "failed"
+ }
+
+@celery_app.task(name="process_image_task")
+def process_image_task(image_id: int, image_loc: str, version_type: str, model_type: str,
+ domain_type: str, user_id: int | None) -> None:
+ """딥페이크 이미지 추론을 처리하는 Celery 비동기 태스크.
+
+ 추론 결과를 DB에 저장하며, SQLAlchemy 오류 발생 시 실패 상태로 업데이트한다.
+ Celery 워커(동기) 내에서 asyncio 이벤트 루프를 직접 구동해 비동기 로직을 실행한다.
+
+ Args:
+ image_id (int): 이미지 레코드 PK.
+ image_loc (str): 추론 대상 이미지의 서버 저장 경로 (DB 기준, '/'로 시작).
+ version_type (str): 모델 버전 타입 (MODEL_CONFIG 키값).
+ model_type (str): 추론 모드 ("fast" | "pro").
+ domain_type (str): 탐지 도메인 ("서양인" | "동양인").
+ user_id (int | None): 로그인 사용자 ID. 비회원이면 None.
+
+ Note:
+ 비회원(user_id=None) 요청은 추론 완료 60초 후 이미지 파일 및 DB 레코드가 자동 삭제된다.
+ """
+ async def run_inference():
+ try:
+ # 이미지 추론, DeepFake 결과값 반환
+ result = predict_image(image_loc, version_type, model_type, domain_type)
+
+ async with celery_db_conn() as conn:
+ # 로그인 상관없이 이미지 추론 결과값 DB에 저장하기
+ await image_svc.update_image_result(
+ conn,
+ image_id,
+ result["analysis"],
+ result["message"],
+ result["status"]
+ )
+ except SQLAlchemyError as e:
+ print(f"[DB Error] Image Result Update Failed: {str(e)}")
+ try:
+ async with celery_db_conn() as conn:
+ await image_svc.update_image_result(
+ conn,
+ image_id,
+ {"prob": -1, "face_conf": -1, "face_ratio": -1, "face_brightness": -1},
+ "이미지 추론 결과 업데이트 중 오류가 발생하였습니다.",
+ "failed"
+ )
+ except Exception as db_err:
+ print(f"Final Emergency DB Update Failed: {db_err}")
+
+ except Exception as e:
+ print(f"[Unknown Error] Image Task Failed: {str(e)}")
+
+ finally:
+ if not user_id:
+ image_svc.cleanup_anonymous_image.apply_async(args=[image_id, image_loc], countdown=60)
+
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ try:
+ loop.run_until_complete(run_inference())
+ finally:
+ loop.close()
+
+
+def predict_video(video_loc: str, version_type: str, model_type: str, domain_type: str) -> dict:
+ """비디오 경로를 받아 딥페이크 여부를 추론하고 분석 결과를 반환한다.
+
+ Args:
+ video_loc (str): 추론 대상 비디오의 서버 저장 경로 (DB 기준, '/'로 시작).
+ version_type (str): 모델 버전 타입 (MODEL_CONFIG 키값).
+ model_type (str): 추론 모드 ("fast" | "pro").
+ domain_type (str): 탐지 도메인 ("서양인" | "동양인").
+
+ Returns:
+ dict:
+ - analysis (dict): prob, face_conf, face_ratio, face_brightness,
+ frame_results, fps, total_frames, num_sampled, num_extracted, num_detected 포함.
+ 오류 발생 시 주요 수치 값 -1.
+ - message (str): 처리 결과 메세지.
+ - status (str): "success" | "warning" | "failed"
+ """
+ model_name, dataset = MODEL_CONFIG[version_type][model_type][domain_type]
+
+ predictor = _get_or_create_predictor(model_name, dataset, "video")
+ video_path = "." + video_loc
+
+ try:
+ analysis = predictor.predict_video(video_path)
+
+ print(f"딥페이크 확률 값: {analysis['prob']}, 얼굴 신뢰도: {analysis['face_conf']}, 얼굴 비율: {analysis['face_ratio']}, 얼굴 밝기: {analysis['face_brightness']}")
+
+ # 분석 성공 시
+ return {
+ "analysis": analysis,
+ "message": "비디오 분석에 성공하였습니다",
+ "status": "success"
+ }
+ except PredictorError as e:
+ print(e.message)
+ return {
+ "analysis": {"prob": -1, "face_conf": -1, "face_ratio": -1, "face_brightness": -1, "frame_results": [],
+ "fps": None, "total_frames": None, "num_sampled": None, "num_extracted": None, "num_detected": None,},
+ "message": e.message,
+ "status": "warning",
+ }
+
+ # CUDA Out of Memory, CUDA Device Error, Timm 모드 로델 실패 등..
+ except Exception as e:
+ print(str(e))
+ return {
+ "analysis": {"prob": -1, "face_conf": -1, "face_ratio": -1, "face_brightness": -1, "frame_results": [],
+ "fps": None, "total_frames": None, "num_sampled": None, "num_extracted": None, "num_detected": None,},
+ "message": f"비디오 분석 중 치명적인 오류가 발생했습니다.",
+ "status": "failed"
+ }
+
+@celery_app.task(name="process_video_task")
+def process_video_task(video_id: int, video_loc: str, version_type: str, model_type: str,
+ domain_type: str, user_id: int | None) -> None:
+ """딥페이크 비디오 추론을 처리하는 Celery 비동기 태스크.
+
+ 추론 결과를 DB에 저장하며, 성공 시 메타 데이터와 프레임별 결과를 추가로 저장한다.
+ 메타/프레임 저장 실패는 독립적으로 처리되어 메인 추론 결과에 영향을 주지 않는다.
+ Celery 워커(동기) 내에서 asyncio 이벤트 루프를 직접 구동해 비동기 로직을 실행한다.
+
+ Args:
+ video_id (int): 비디오 레코드 PK.
+ video_loc (str): 추론 대상 비디오의 서버 저장 경로 (DB 기준, '/'로 시작).
+ version_type (str): 모델 버전 타입 (MODEL_CONFIG 키값).
+ model_type (str): 추론 모드 ("fast" | "pro").
+ domain_type (str): 탐지 도메인 ("서양인" | "동양인").
+ user_id (int | None): 로그인 사용자 ID. 비회원이면 None.
+
+ Note:
+ 비회원(user_id=None) 요청은 추론 완료 60초 후 비디오 파일 및 DB 레코드가 자동 삭제된다.
+ """
+ async def run_inference():
+ try:
+ # 비디오 추론, DeepFake 결과값 반환
+ result = predict_video(video_loc, version_type, model_type, domain_type)
+
+ async with celery_db_conn() as conn:
+ # 로그인 상관없이 추론 결과값 DB에 저장하기
+ await video_svc.update_video_result(
+ conn,
+ video_id,
+ result["analysis"],
+ result["message"],
+ result["status"]
+ )
+ if result["status"] == "success":
+ if result["analysis"].get("fps") is not None:
+ try:
+ async with celery_db_conn() as conn:
+ await video_svc.save_video_meta_result(conn, video_id, result["analysis"])
+ except Exception as e:
+ print(f"[Video Meta Save Error] video_id={video_id}: {e}")
+
+ if result["analysis"].get("frame_results"):
+ try:
+ async with celery_db_conn() as conn:
+ await video_svc.save_video_frame_result(
+ conn, video_id, result["analysis"]["frame_results"]
+ )
+ except Exception as e:
+ print(f"[Video Frame Save Error] video_id={video_id}: {e}")
+
+ except SQLAlchemyError as e:
+ print(f"Video DB Update Error: {e}")
+ try:
+ async with celery_db_conn() as conn:
+ await video_svc.update_video_result(
+ conn,
+ video_id,
+ {"prob": -1, "face_conf": -1, "face_ratio": -1, "face_brightness": -1},
+ "비디오 추론 결과 업데이트 중 오류가 발생하였습니다.",
+ "failed"
+ )
+ except Exception as db_err:
+ print(f"Final Emergency DB Update Failed: {db_err}")
+
+ except Exception as e:
+ print(f"[Unknown Error] Video Task Failed: {str(e)}")
+
+ finally:
+ if not user_id:
+ is_success = result.get("status") == "success"
+ video_svc.cleanup_anonymous_video.apply_async(args=[video_id, video_loc, is_success], countdown=60)
+
+
+
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ try:
+ loop.run_until_complete(run_inference())
+ finally:
+ loop.close()
+
\ No newline at end of file
diff --git a/App/services/session_svc.py b/App/services/session_svc.py
new file mode 100644
index 0000000..a144196
--- /dev/null
+++ b/App/services/session_svc.py
@@ -0,0 +1,38 @@
+from fastapi import status, Request
+from fastapi.exceptions import HTTPException
+
+def get_session_user_opt(request:Request) -> dict | None:
+ """세션에서 로그인 사용자 정보를 조회한다. 비로그인 상태면 None을 반환한다.
+
+ 로그인 여부와 관계없이 접근 가능한 엔드포인트에 사용한다.
+
+ Args:
+ request (Request): FastAPI 요청 객체.
+
+ Returns:
+ dict | None: 로그인 상태면 {"id": int, "name": str, "email": str} 반환,
+ 비로그인 상태면 None.
+ """
+ if "session_user" in request.state.session:
+ return request.state.session["session_user"]
+
+
+def get_session_user_prt(request:Request) -> dict:
+ """세션에서 로그인 사용자 정보를 조회한다. 비로그인 상태면 401을 raise한다.
+
+ 로그인이 필수인 엔드포인트의 Depends 의존성으로 사용한다.
+
+ Args:
+ request (Request): FastAPI 요청 객체.
+
+ Returns:
+ dict: {"id": int, "name": str, "email": str}
+
+ Raises:
+ HTTPException 401: 세션에 사용자 정보가 없을 때.
+ """
+ if "session_user" not in request.state.session:
+ raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED,
+ detail="해당 서비스는 로그인이 필요합니다.")
+
+ return request.state.session["session_user"]
\ No newline at end of file
diff --git a/App/services/video_svc.py b/App/services/video_svc.py
new file mode 100644
index 0000000..ae3323c
--- /dev/null
+++ b/App/services/video_svc.py
@@ -0,0 +1,743 @@
+import os
+import time
+from dotenv import load_dotenv
+import asyncio
+import aiofiles as aio
+from fastapi import UploadFile, status
+from fastapi.exceptions import HTTPException
+from sqlalchemy import text, Connection
+from sqlalchemy.exc import SQLAlchemyError
+from schemas.video_schema import (
+ VideoData, VideoDetailData, VideoFrameData, VideoMetaData)
+from db.database import celery_db_conn
+from celery_app import celery_app
+
+load_dotenv()
+UPLOAD_DIR = os.getenv("UPLOAD_DIR")
+
+
+async def upload_video(user_email: str | None, videofile: UploadFile) -> str:
+ """업로드된 비디오를 서버에 저장하고 DB 저장용 경로를 반환한다. 회원/비회원 공통.
+
+ Args:
+ user_email (str | None): 로그인 사용자 이메일. 비회원이면 None.
+ videofile (UploadFile): FastAPI 업로드 파일 객체.
+
+ Returns:
+ str: 저장된 비디오의 DB 기준 경로 ('/'로 시작, '\\' 정규화됨).
+
+ Raises:
+ HTTPException 500: 디렉토리 생성, 파일 쓰기, 또는 예기치 못한 오류 발생 시.
+ """
+ try:
+ # 1. 사용자별 하위 디렉토리 결정
+ sub_dir = user_email if user_email else "anonymous"
+
+ user_dir = os.path.join(UPLOAD_DIR, sub_dir)
+
+ # 3. 디렉토리 존재 확인 및 생성
+ if not os.path.exists(user_dir):
+ try:
+ os.makedirs(user_dir, exist_ok=True)
+ except OSError as e:
+ print(f"[Storage Error] 디렉토리 생성 실패: {e}")
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="서버 내 저장 공간을 준비하지 못했습니다."
+ )
+
+ # 4. 파일명 중복 방지 (파일명_타임스탬프.확장자)
+ filename_only, ext = os.path.splitext(videofile.filename)
+
+ upload_filename = f"{filename_only}_{int(time.time())}{ext}"
+ upload_video_loc = os.path.join(user_dir, upload_filename)
+
+ # 5. 비동기 이미지 저장 (Chunk 단위 읽기)
+ try:
+ async with aio.open(upload_video_loc, "wb") as outfile:
+ while content := await videofile.read(1024 * 1024):
+ await outfile.write(content)
+ except Exception as e:
+ print(f"[File Error] 파일 쓰기 실패: {e}")
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="비디오 파일을 저장하는 중 오류가 발생했습니다."
+ )
+
+ # 6. DB 저장용 경로 반환
+ return upload_video_loc[1:].replace("\\", "/")
+
+ except HTTPException:
+ raise
+
+ except Exception as e:
+ print(f"[Unknown Error] {e}")
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="비디오 업로드 과정에서 예상치 못한 오류가 발생했습니다.")
+
+
+async def delete_video(video_loc: str) -> None:
+ """서버에서 비디오 물리 파일을 삭제한다.
+
+ 파일이 존재하지 않으면 경고 로그만 출력하고 정상 종료한다.
+
+ Args:
+ video_loc (str): 삭제할 비디오의 DB 기준 경로 ('/'로 시작).
+
+ Raises:
+ HTTPException 500: 파일 삭제 중 오류 발생 시.
+ """
+ try:
+ file_path = "." + video_loc
+
+ if os.path.exists(file_path):
+ os.remove(file_path)
+ else:
+ print(f"Video file not found: {file_path}")
+
+ except Exception as e:
+ print(f"[Delete Error] {e}")
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="비디오 파일 삭제 중 오류가 발생했습니다."
+ )
+
+
+async def get_user_histories(conn: Connection, user_id: int) -> list[VideoData]:
+ """사용자의 전체 비디오 분석 히스토리를 최신순으로 조회한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ user_id (int): 조회할 사용자 PK.
+
+ Returns:
+ list[VideoData]: 비디오 히스토리 스키마 리스트. 결과 없으면 빈 리스트.
+
+ Raises:
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ query = """
+ SELECT id, user_id, video_loc, status, label,
+ version_type, model_type, domain_type, result_msg, created_at
+ FROM video_result
+ WHERE user_id = :user_id
+ ORDER BY created_at DESC;
+ """
+ stmt = text(query)
+ result = await conn.execute(stmt, {"user_id": user_id})
+
+ video_histories = [VideoData(
+ id = row.id,
+ user_id = row.user_id,
+ video_loc = row.video_loc,
+ status = row.status,
+ label = row.label,
+ version_type = row.version_type,
+ model_type = row.model_type,
+ domain_type = row.domain_type,
+ created_at = row.created_at
+ ) for row in result]
+
+ result.close()
+ return video_histories
+
+ except SQLAlchemyError as e:
+ print(f"비디오 목록 조회 실패: {e}")
+ raise HTTPException(status_code=503, detail="데이터베이스 조회 중 문제가 발생했습니다.")
+
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+async def get_user_history(conn: Connection, user_id: int, video_id: int) -> VideoDetailData | None:
+ """video_id와 user_id로 비디오 개별 상세 히스토리를 조회한다.
+
+ 본인 소유 데이터만 조회되도록 user_id를 함께 필터링한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ user_id (int): 요청 사용자 PK.
+ video_id (int): 조회할 비디오 레코드 PK.
+
+ Returns:
+ VideoDetailData | None: 상세 히스토리 스키마 객체. 레코드 없으면 None.
+
+ Raises:
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ # user_id 있으면 본인 것만, None이면 video_id로만 조회 (비회원 상세 허용)
+ if user_id is not None:
+ stmt = text("""
+ SELECT id, user_id, video_loc, status, label, score, face_conf, face_ratio,
+ face_brightness, version_type, model_type, domain_type, result_msg, created_at
+ FROM video_result
+ WHERE id = :video_id AND user_id = :user_id
+ """)
+ params = {"video_id": video_id, "user_id": user_id}
+ else:
+ stmt = text("""
+ SELECT id, user_id, video_loc, status, label, score, face_conf, face_ratio,
+ face_brightness, version_type, model_type, domain_type, result_msg, created_at
+ FROM video_result
+ WHERE id = :video_id
+ """)
+ params = {"video_id": video_id}
+ result = await conn.execute(stmt, params)
+ row = result.fetchone()
+ if row is None:
+ return None
+
+ video_history = VideoDetailData(
+ id = row.id,
+ user_id = row.user_id,
+ video_loc = row.video_loc,
+ status = row.status,
+ label = row.label,
+ score = row.score,
+ face_conf = row.face_conf,
+ face_ratio = row.face_ratio,
+ face_brightness = row.face_brightness,
+ version_type = row.version_type,
+ model_type = row.model_type,
+ domain_type = row.domain_type,
+ result_msg = row.result_msg,
+ created_at = row.created_at
+ )
+
+ return video_history
+
+ except SQLAlchemyError as e:
+ print(f"비디오 상세 조회 실패: {e}")
+ raise HTTPException(status_code=503, detail="데이터베이스 조회 중 문제가 발생했습니다.")
+
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+async def register_video_result(conn: Connection, user_id: int | None, video_loc: str,
+ version_type: str, model_type: str, domain_type: str) -> int:
+ """PENDING 상태의 빈 비디오 레코드를 DB에 생성하고 video_id를 반환한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ user_id (int | None): 로그인 사용자 ID. 비회원이면 None.
+ video_loc (str): 업로드된 비디오의 DB 기준 경로.
+ version_type (str): 모델 버전 타입.
+ model_type (str): 추론 모드 ("fast" | "pro").
+ domain_type (str): 탐지 도메인.
+
+ Returns:
+ int: 생성된 비디오 레코드의 PK (auto_increment).
+
+ Raises:
+ HTTPException 400: DB INSERT 실패 시. 업로드된 물리 파일도 함께 롤백 삭제된다.
+ """
+ try:
+ query = """
+ INSERT INTO video_result (
+ user_id, video_loc, status, label, score, face_conf, face_ratio,
+ face_brightness, version_type, model_type, domain_type, result_msg
+ )
+ VALUES (
+ :user_id, :video_loc, 'PENDING', 'UNKNOWN', -1.0, -1.0, -1.0,
+ -1.0, :version_type, :model_type, :domain_type, '분석 대기 중...'
+ )
+ """
+ stmt = text(query)
+ result = await conn.execute(stmt, {
+ "user_id": user_id,
+ "video_loc": video_loc,
+ "version_type": version_type,
+ "model_type": model_type,
+ "domain_type": domain_type
+ })
+ await conn.commit()
+
+ # MySQL에서 방금 생성된 auto_increment ID 가져오기
+ return result.lastrowid
+
+ except SQLAlchemyError as e:
+ print(f"Video DB Register Error: {e}")
+ await conn.rollback()
+ await delete_video(video_loc)
+ raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST,
+ detail="요청데이터가 제대로 전달되지 않았습니다")
+
+
+async def update_video_result(conn: Connection, video_id: int, analysis: dict,
+ result_msg: str, status: str) -> None:
+ """추론 완료 후 비디오 레코드에 분석 결과를 업데이트한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 업데이트할 비디오 레코드 PK.
+ analysis (dict): 추론 결과값. prob, face_conf, face_ratio, face_brightness 포함.
+ result_msg (str): 처리 결과 메세지.
+ status (str): 추론 상태 ("success" | "warning" | "failed").
+
+ Raises:
+ SQLAlchemyError: DB 업데이트 실패 시 그대로 re-raise.
+ """
+ if status == 'success':
+ label = "FAKE" if analysis["prob"] > 0.5 else "REAL"
+ else:
+ label = "UNKNOWN"
+
+ try:
+ query = """
+ UPDATE video_result
+ SET status = :status,
+ label = :label,
+ score = :score,
+ face_conf = :face_conf,
+ face_ratio = :face_ratio,
+ face_brightness = :face_brightness,
+ result_msg = :result_msg
+ WHERE id = :video_id
+ """
+
+ db_status = status.upper()
+
+ stmt = text(query)
+ await conn.execute(stmt, {
+ "status": db_status,
+ "label": label,
+ "score": analysis["prob"],
+ "face_conf": analysis["face_conf"],
+ "face_ratio": analysis["face_ratio"],
+ "face_brightness": analysis["face_brightness"],
+ "result_msg": result_msg,
+ "video_id": video_id
+ })
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ await conn.rollback()
+ raise e
+
+
+async def get_video_result(conn: Connection, video_id: int) -> VideoDetailData:
+ """video_id로 비디오 분석 결과를 조회해 반환한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 조회할 비디오 레코드 PK.
+
+ Returns:
+ VideoDetailData: 비디오 분석 결과 스키마 객체.
+
+ Raises:
+ HTTPException 404: 해당 video_id 레코드가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ query = text("SELECT * FROM video_result WHERE id = :video_id")
+ result = await conn.execute(query, {"video_id": video_id})
+
+ if result.rowcount == 0:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND,
+ detail=f"요청하신 비디오 분석 결과(ID: {video_id})를 찾을 수 없습니다. ID를 다시 확인해주세요.")
+ row = result.fetchone()
+
+ video_data = VideoDetailData(
+ id = row.id,
+ user_id = row.user_id,
+ video_loc = row.video_loc,
+ status = row.status,
+ label = row.label,
+ score = row.score,
+ face_conf = row.face_conf,
+ face_ratio = row.face_ratio,
+ face_brightness = row.face_brightness,
+ version_type = row.version_type,
+ model_type = row.model_type,
+ domain_type = row.domain_type,
+ result_msg = row.result_msg,
+ created_at = row.created_at
+ )
+
+ return video_data
+
+ except SQLAlchemyError as e:
+ print(f"비디오 분석 결과값 가져오기 실패: {e}")
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+ detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+ except HTTPException:
+ raise
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+async def save_video_meta_result(conn: Connection, video_id: int, analysis: dict) -> None:
+ """비디오 1개의 프레임 요약 통계를 video_meta_result 테이블에 저장한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 비디오 레코드 PK.
+ analysis (dict): 추론 결과 딕셔너리. fps, total_frames, num_sampled,
+ num_extracted, num_detected 키를 포함해야 한다.
+
+ Raises:
+ SQLAlchemyError: DB INSERT 실패 시 그대로 re-raise.
+ """
+ try:
+ query = """
+ INSERT INTO video_meta_result (video_id, fps, total_frames, num_sampled, num_extracted, num_detected)
+ VALUES (:video_id, :fps, :total_frames, :num_sampled, :num_extracted, :num_detected)
+ """
+ await conn.execute(text(query), {
+ "video_id": video_id,
+ "fps": analysis["fps"],
+ "total_frames": analysis["total_frames"],
+ "num_sampled": analysis["num_sampled"],
+ "num_extracted":analysis["num_extracted"],
+ "num_detected": analysis["num_detected"],
+ })
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ await conn.rollback()
+ raise e
+
+
+async def save_video_frame_result(conn: Connection, video_id: int, frame_results: list) -> None:
+ """비디오에 속한 모든 프레임의 분석 결과를 video_frame_result 테이블에 일괄 저장한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 비디오 레코드 PK.
+ frame_results (list): 프레임별 분석 결과 딕셔너리 리스트.
+ 각 항목은 frame_index, frame_time, score, face_conf,
+ face_ratio, face_brightness 키를 포함해야 한다.
+
+ Raises:
+ SQLAlchemyError: DB INSERT 실패 시 그대로 re-raise.
+ """
+ try:
+ query = """
+ INSERT INTO video_frame_result
+ (video_id, frame_index, frame_time, score, face_conf, face_ratio, face_brightness)
+ VALUES
+ (:video_id, :frame_index, :frame_time, :score, :face_conf, :face_ratio, :face_brightness)
+ """
+ rows = [
+ {
+ "video_id": video_id,
+ "frame_index": frame["frame_index"],
+ "frame_time": frame["frame_time"],
+ "score": frame["score"],
+ "face_conf": frame["face_conf"],
+ "face_ratio": frame["face_ratio"],
+ "face_brightness": frame["face_brightness"],
+ }
+ for frame in frame_results
+ ]
+ await conn.execute(text(query), rows)
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ await conn.rollback()
+ raise e
+
+
+async def delete_video_meta_result(conn: Connection, video_id: int) -> None:
+ """video_meta_result 테이블에서 해당 비디오의 메타 데이터를 삭제한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 삭제할 비디오 레코드 PK.
+
+ Raises:
+ HTTPException 404: 해당 video_id 레코드가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ delete_query = text("""
+ DELETE FROM video_meta_result
+ WHERE video_id = :video_id
+ """)
+ result = await conn.execute(delete_query, {"video_id": video_id})
+ if result.rowcount == 0:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"해당 비디오 id {video_id}는(은) 존재하지 않아 삭제할 수 없습니다.")
+
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ print(e)
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE, detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+
+ except HTTPException:
+ raise
+
+ except Exception as e:
+ print(e)
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+async def delete_video_frame_result(conn: Connection, video_id: int) -> None:
+ """video_frame_result 테이블에서 해당 비디오의 프레임 결과를 삭제한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 삭제할 비디오 레코드 PK.
+
+ Raises:
+ HTTPException 404: 해당 video_id 레코드가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ delete_query = text("""
+ DELETE FROM video_frame_result
+ WHERE video_id = :video_id
+ """)
+ result = await conn.execute(delete_query, {"video_id": video_id})
+ if result.rowcount == 0:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"해당 비디오 id {video_id}는(은) 존재하지 않아 삭제할 수 없습니다.")
+
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ print(e)
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE, detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+
+ except HTTPException:
+ raise
+
+ except Exception as e:
+ print(e)
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+async def get_video_meta_result(conn: Connection, video_id: int) -> VideoMetaData:
+ """video_id로 비디오 메타 데이터를 조회한다.
+
+ fps, total_frames, num_sampled, num_extracted, num_detected를 반환한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 조회할 비디오 레코드 PK.
+
+ Returns:
+ VideoMetaData: 비디오 메타 데이터 스키마 객체.
+
+ Raises:
+ HTTPException 404: 해당 video_id 메타 레코드가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ query = text("""
+ SELECT fps, total_frames, num_sampled, num_extracted, num_detected
+ FROM video_meta_result
+ WHERE video_id = :video_id
+ """)
+ result = await conn.execute(query, {"video_id": video_id})
+ row = result.fetchone()
+
+ if row is None:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND,
+ detail=f"요청하신 비디오 메타 정보(ID: {video_id})를 찾을 수 없습니다. ID를 다시 확인해주세요.")
+
+ return VideoMetaData(
+ fps=row.fps,
+ total_frames=row.total_frames,
+ num_sampled=row.num_sampled,
+ num_extracted=row.num_extracted,
+ num_detected=row.num_detected,
+ )
+
+ except SQLAlchemyError as e:
+ print(f"[Meta Query Error] {e}")
+ raise HTTPException(status_code=503, detail="데이터베이스 조회 중 문제가 발생했습니다.")
+ except HTTPException:
+ raise
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=500, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+async def get_video_frame_result(conn: Connection, video_id: int) -> list[VideoFrameData]:
+ """video_id에 속한 모든 프레임 분석 결과를 frame_index 오름차순으로 조회한다.
+
+ 프레임별 점수 그래프, 의심 구간 표시 등 시각화에 활용된다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 조회할 비디오 레코드 PK.
+
+ Returns:
+ list[VideoFrameData]: 프레임별 분석 결과 스키마 리스트.
+
+ Raises:
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ query = text("""
+ SELECT frame_index, frame_time, score, face_conf, face_ratio, face_brightness
+ FROM video_frame_result
+ WHERE video_id = :video_id
+ ORDER BY frame_index ASC
+ """)
+ result = await conn.execute(query, {"video_id": video_id})
+
+ return [
+ VideoFrameData(
+ frame_index=r.frame_index,
+ frame_time=r.frame_time,
+ score=r.score,
+ face_conf=r.face_conf,
+ face_ratio=r.face_ratio,
+ face_brightness=r.face_brightness,
+ )
+ for r in result
+ ]
+
+ except SQLAlchemyError as e:
+ print(f"[Frame Query Error] {e}")
+ raise HTTPException(status_code=503, detail="데이터베이스 조회 중 문제가 발생했습니다.")
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=500, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+async def get_video_frame_by_index(conn: Connection, video_id: int, frame_index: int) -> float:
+ """video_id와 frame_index로 특정 프레임의 frame_time을 조회한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 비디오 레코드 PK.
+ frame_index (int): 조회할 프레임 인덱스.
+
+ Returns:
+ float: 해당 프레임의 타임스탬프 (초 단위).
+
+ Raises:
+ HTTPException 404: 해당 frame_index가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ query = text("""
+ SELECT frame_time
+ FROM video_frame_result
+ WHERE video_id = :video_id AND frame_index = :frame_index
+ """)
+
+ result = await conn.execute(query, {"video_id": video_id, "frame_index": frame_index})
+ if result.rowcount == 0:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND,
+ detail=f"해당 ID: {video_id} Video 내 Frame Index {frame_index}에 해당하는 프레임을 찾을 수 없습니다")
+
+ row = result.fetchone()
+
+ return row.frame_time
+
+ except SQLAlchemyError as e:
+ print(f"[Frame Query Error] {e}")
+ raise HTTPException(status_code=503, detail="데이터베이스 조회 중 문제가 발생했습니다.")
+ except HTTPException:
+ raise
+ except Exception as e:
+ print(e)
+ raise HTTPException(status_code=500, detail="알수없는 이유로 문제가 발생하였습니다.")
+
+
+@celery_app.task(name="cleanup_anonymous_video")
+def cleanup_anonymous_video(video_id: int, video_loc: str, is_success: bool) -> None:
+ """비회원 비디오 DB 레코드 및 물리 파일을 삭제하는 Celery 태스크.
+
+ 추론 성공 시 meta/frame 결과도 함께 삭제한다.
+ 각 삭제 단계는 독립적으로 처리되어 한쪽 실패가 다른쪽에 영향을 주지 않는다.
+
+ Args:
+ video_id (int): 삭제할 비디오 레코드 PK.
+ video_loc (str): 삭제할 비디오의 DB 기준 경로.
+ is_success (bool): 추론 성공 여부. True면 meta/frame 결과도 함께 삭제.
+ """
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ try:
+ async def _delete():
+ success = True
+ async with celery_db_conn() as conn:
+ if is_success:
+ try:
+ await delete_video_meta_result(conn, video_id)
+ except Exception as e:
+ print(f"[Cleanup] video meta 삭제 실패 - video_id: {video_id}, error: {e}")
+ success=False
+
+ try:
+ await delete_video_frame_result(conn, video_id)
+ except Exception as e:
+ print(f"[Cleanup] video frame 삭제 실패 - video_id: {video_id}, error: {e}")
+ success=False
+ try:
+ await delete_video_db(conn, video_id)
+ except Exception as e:
+ print(f"[Cleanup] video_result 삭제 실패 - video_id: {video_id}, error:{e}")
+ success=False
+ try:
+ await delete_video(video_loc)
+ except Exception as e:
+ print(f"[Cleanup] 비디오 파일 삭제 실패 - video_loc: {video_loc}, error: {e}")
+ success=False
+
+ if success:
+ print(f"[Cleanup] 비회원 비디오 삭제 완료 - video_id: {video_id}, video_loc: {video_loc}")
+
+ loop.run_until_complete(_delete())
+ finally:
+ loop.close()
+
+
+async def delete_video_db(conn: Connection, video_id: int) -> None:
+ """DB에서 비디오 레코드를 삭제한다.
+
+ Args:
+ conn (Connection): SQLAlchemy 비동기 DB 커넥션.
+ video_id (int): 삭제할 비디오 레코드 PK.
+
+ Raises:
+ HTTPException 404: 해당 video_id 레코드가 없을 때.
+ HTTPException 503: DB 쿼리 중 SQLAlchemy 오류 발생 시.
+ HTTPException 500: 예기치 못한 오류 발생 시.
+ """
+ try:
+ delete_query = text("DELETE FROM video_result WHERE id = :video_id")
+ result = await conn.execute(delete_query, {"video_id": video_id})
+
+ if result.rowcount == 0:
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"해당 비디오 id {video_id}는(은) 존재하지 않아 삭제할 수 없습니다.")
+
+ await conn.commit()
+
+ except SQLAlchemyError as e:
+ print(e)
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE, detail="요청하신 서비스가 잠시 내부적으로 문제가 발생하였습니다.")
+
+ except HTTPException:
+ raise
+
+ except Exception as e:
+ print(e)
+ await conn.rollback()
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="알수없는 이유로 문제가 발생하였습니다.")
\ No newline at end of file
diff --git a/App/sql/initial_image_result.sql b/App/sql/initial_image_result.sql
new file mode 100644
index 0000000..544bcf6
--- /dev/null
+++ b/App/sql/initial_image_result.sql
@@ -0,0 +1,20 @@
+drop table if exists image_result;
+
+create table deepfake_db.image_result (
+ id integer auto_increment primary key,
+ user_id integer null, -- null 허용
+ image_loc varchar(300) not null unique,
+ status varchar(20) not null default "PENDING", -- status 추가
+ label varchar(10) not null,
+ score float not null,
+ face_conf float not null,
+ face_ratio float not null,
+ face_brightness float not null,
+ version_type varchar(10) not null,
+ model_type varchar(10) not null,
+ domain_type varchar(20) not null,
+ result_msg varchar(200) not null,
+ created_at timestamp default current_timestamp,
+
+ index user_id_idx(user_id)
+);
\ No newline at end of file
diff --git a/App/sql/initial_user.sql b/App/sql/initial_user.sql
new file mode 100644
index 0000000..ba7391e
--- /dev/null
+++ b/App/sql/initial_user.sql
@@ -0,0 +1,7 @@
+create table user
+(
+ id integer auto_increment primary key,
+ name varchar(100) not null,
+ email varchar(100) not null unique,
+ hashed_password varchar(200) not null
+);
\ No newline at end of file
diff --git a/App/sql/initial_video_frame_result.sql b/App/sql/initial_video_frame_result.sql
new file mode 100644
index 0000000..d280613
--- /dev/null
+++ b/App/sql/initial_video_frame_result.sql
@@ -0,0 +1,14 @@
+drop table if exists video_frame_result;
+
+create table deepfake_db.video_frame_result (
+ id integer auto_increment primary key, -- 행 자체의 고유 ID (대리키)
+ video_id integer not null,
+ frame_index integer not null, -- 영상 내 프레임 순번.
+ frame_time float not null, -- 영상 내 타임스탬프(초)
+ score float not null,-- 해당 프레임의 딥페이크 의심 점수 (0.0~1.0)
+ face_conf float not null,-- 얼굴 검출 신뢰도. 낮으면 score 신뢰도도 낮음.
+ face_ratio float not null,-- 프레임 대비 얼굴 면적 비율 (0.0~1.0)
+ face_brightness float not null,-- 얼굴 영역 평균 밝기 (조도 품질 지표)
+
+ index video_id_idx(video_id)
+);
\ No newline at end of file
diff --git a/App/sql/initial_video_meta_result.sql b/App/sql/initial_video_meta_result.sql
new file mode 100644
index 0000000..289f4d6
--- /dev/null
+++ b/App/sql/initial_video_meta_result.sql
@@ -0,0 +1,13 @@
+drop table if exists video_meta_result;
+
+create table deepfake_db.video_meta_result (
+ id integer auto_increment primary key,-- 행 자체의 고유 ID (대리키).
+ video_id integer not null unique,
+ fps float not null, -- 초당 프레임수
+ total_frames integer not null,-- 영상 전체 프레임 수
+ num_sampled integer not null,-- [1단계] 분석을 위해 샘플링한 프레임 수
+ num_extracted integer not null,-- [2단계] 샘플 중 얼굴 추출에 성공한 프레임 수
+ num_detected integer not null,-- [3단계] 추출된 얼굴 중 딥페이크 score 산출에 성공한 프레임 수
+
+ index video_id_idx(video_id)-- video_id로 메타 조회 시 사용
+);
\ No newline at end of file
diff --git a/App/sql/initial_video_result.sql b/App/sql/initial_video_result.sql
new file mode 100644
index 0000000..9daa890
--- /dev/null
+++ b/App/sql/initial_video_result.sql
@@ -0,0 +1,30 @@
+drop table if exists video_result;
+
+-- 딥페이크 분석 결과를 저장하는 테이블 생성
+create table deepfake_db.video_result (
+ id integer auto_increment primary key, -- 시스템에서 부여하는 데이터 고유 식별 번호
+ user_id integer null, -- 영상을 업로드한 사용자의 ID (비회원 허용을 위해 null 가능)
+ video_loc varchar(300) not null unique, -- 영상 파일이 저장된 경로/URL (중복 등록 방지)
+
+ -- 상태 및 결과 정보
+ status varchar(20) not null default "PENDING", -- 분석 진행 상태 (대기중, 분석중, 완료, 실패 등)
+ label varchar(10) not null, -- 최종 판정 결과 (예: 'Fake', 'Real')
+ score float not null,
+
+ -- 분석 품질 및 메타데이터
+ face_conf float not null,
+ face_ratio float not null,
+ face_brightness float not null,
+
+ -- 분석 환경 정보
+ version_type varchar(10) not null,
+ model_type varchar(10) not null,
+ domain_type varchar(20) not null,
+
+ -- 기타 기록
+ result_msg varchar(200) not null, -- 분석 결과에 대한 상세 메시지나 오류 내용
+ created_at timestamp default current_timestamp, -- 데이터가 생성된(분석 요청된) 시간
+
+ -- 성능 최적화
+ index user_id_idx(user_id) -- 특정 사용자의 분석 이력을 빠르게 조회하기 위한 인덱스
+);
\ No newline at end of file
diff --git a/Videos/sample1.mp4 b/App/static/default/sample1.mp4
similarity index 100%
rename from Videos/sample1.mp4
rename to App/static/default/sample1.mp4
diff --git a/App/utils/common.py b/App/utils/common.py
new file mode 100644
index 0000000..a72d30c
--- /dev/null
+++ b/App/utils/common.py
@@ -0,0 +1,21 @@
+from fastapi import FastAPI
+from db.database import engine
+from contextlib import asynccontextmanager
+
+# Uvicorn이 앱 시작/종료 시 asynccontextmanager를 호출함
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+
+ # ── Startup ──────────────────────────────────────────
+ # Event Loop 위에서 실행, DB 연결 풀 초기화
+ print("Starting up...")
+
+ # yield 이후 app이 실제 요청을 처리하기 시작함
+ yield
+
+ # ── Shutdown ─────────────────────────────────────────
+ # 새 요청은 차단되고, 진행 중인 요청 완료 후 여기로 진입
+ print("Shutting down...")
+
+ # SQLAlchemy 비동기 엔진의 커넥션 풀 전체 반환 및 종료
+ await engine.dispose()
\ No newline at end of file
diff --git a/App/utils/exc_handler.py b/App/utils/exc_handler.py
new file mode 100644
index 0000000..387c950
--- /dev/null
+++ b/App/utils/exc_handler.py
@@ -0,0 +1,33 @@
+from fastapi import Request, status
+from fastapi.responses import JSONResponse
+from fastapi.exceptions import RequestValidationError
+from starlette.exceptions import HTTPException as StarletteHTTPException
+
+
+# HTTPException 오류 발생 시 커스텀 exception handler 로직
+async def custom_http_exception_handler(request: Request, exc: StarletteHTTPException):
+ return JSONResponse(
+ content = {
+ "error_type" : "http",
+ "status_code": exc.status_code,
+ "title_message": "불편을 드려 죄송합니다",
+ "detail": exc.detail},
+ status_code = exc.status_code
+ )
+
+# RequestValidationError 오류 발생 시 커스텀 exception handler 로직
+async def validation_exception_handler(request: Request, exc: RequestValidationError):
+ # 에러 메시지 가공: "필드명: 에러내용" 형태로 요약
+ # 예: "email: value is not a valid email address"
+ error_details = [f"{err['loc'][-1]}: {err['msg']}" for err in exc.errors()]
+ summary_detail = " | ".join(error_details) # 여러 에러를 한 줄로 합침
+
+ return JSONResponse(
+ content = {
+ "error_type" : "valid", # 오타 수정: vaild -> valid
+ "status_code": status.HTTP_422_UNPROCESSABLE_ENTITY,
+ "title_message": "입력값이 올바르지 않습니다",
+ "detail": summary_detail # 요약된 문자열 전달
+ },
+ status_code = status.HTTP_422_UNPROCESSABLE_ENTITY
+ )
\ No newline at end of file
diff --git a/App/utils/middleware.py b/App/utils/middleware.py
new file mode 100644
index 0000000..12b2bc6
--- /dev/null
+++ b/App/utils/middleware.py
@@ -0,0 +1,66 @@
+from fastapi import Request, FastAPI
+from starlette.middleware.base import BaseHTTPMiddleware
+import redis.asyncio as aioredis
+import uuid
+import json
+import logging
+import os
+from dotenv import load_dotenv
+
+logging.basicConfig(level=logging.CRITICAL)
+load_dotenv()
+
+REDIS_HOST = os.getenv("REDIS_HOST", "localhost")
+REDIS_PORT = int(os.getenv("REDIS_PORT", 6379))
+
+# Redis setup
+redis_pool = aioredis.ConnectionPool(host=REDIS_HOST, port=REDIS_PORT, db=0, max_connections=10)
+redis_client = aioredis.Redis(connection_pool=redis_pool)
+
+class RedisSessionMiddleware(BaseHTTPMiddleware):
+ def __init__(self, app: FastAPI, session_cookie: str = "session_redis_id", max_age: int = 3600):
+ super().__init__(app)
+ self.session_cookie = session_cookie
+ self.max_age = max_age
+
+ async def dispatch(self, request: Request, call_next):
+ response = None
+ session_id = request.cookies.get(self.session_cookie)
+ initial_session_was_empty = True
+
+ if self.max_age is None or self.max_age <= 0:
+ return await call_next(request)
+
+ try:
+ if session_id:
+ session_data = await redis_client.get(session_id)
+ if session_data:
+ request.state.session = json.loads(session_data)
+ await redis_client.expire(session_id, self.max_age)
+ initial_session_was_empty = False
+ else:
+ request.state.session = {}
+ else:
+ session_id = str(uuid.uuid4())
+ request.state.session = {}
+
+ response = await call_next(request)
+ if request.state.session:
+ is_https = (
+ request.url.scheme == 'https'
+ or request.headers.get('x-forwarded-proto') == 'https')
+
+ response.set_cookie(self.session_cookie, session_id, max_age=self.max_age, httponly=True,
+ secure=is_https, samesite='None' if is_https else 'Lax')
+ await redis_client.setex(session_id, self.max_age, json.dumps(request.state.session))
+
+ else:
+ if not initial_session_was_empty:
+ await redis_client.delete(session_id)
+ response.delete_cookie(self.session_cookie)
+ except Exception as e:
+ logging.critical("error in redis session middleware:" + str(e))
+
+ return response
+
+
\ No newline at end of file
diff --git a/App/utils/responses.py b/App/utils/responses.py
new file mode 100644
index 0000000..4647454
--- /dev/null
+++ b/App/utils/responses.py
@@ -0,0 +1,4 @@
+from fastapi.responses import StreamingResponse
+
+class PNGStreamingResponse(StreamingResponse):
+ media_type = "image/png"
\ No newline at end of file
diff --git a/Attention/__init__.py b/Attention/__init__.py
deleted file mode 100644
index db4f529..0000000
--- a/Attention/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from .se_block import SEBlock
-from .sam import SAM
-from .cam import CAM
-from .cbam import CBAMBlock
-from .eca import ECA
-from .attention_gate import AttentionGate
-from .triplet_attention import TripletAttention
diff --git a/Attention/attention_gate.py b/Attention/attention_gate.py
deleted file mode 100644
index 53d1116..0000000
--- a/Attention/attention_gate.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import torch
-import torch.nn as nn
-import math
-
-## Attention Gate(HxW, CxH, CxW)
-class AttentionGate(nn.Module):
- def __init__(self):
- super(AttentionGate, self).__init__()
-
- self.conv = nn.Sequential(
- nn.Conv2d(2,1, kernel_size=3, stride=1, padding="same", bias=False),
- nn.BatchNorm2d(1, eps=1e-5, momentum=0.01, affine=True),
- nn.ReLU(inplace=True),
- )
- self.sigmoid = nn.Sigmoid()
-
- def forward(self, x):
-
- max_out, _ = torch.max(x, dim=1, keepdim=True) # (B,1,H,W)
- avg_out = torch.mean(x, dim=1, keepdim=True) # (B,1,H,W)
-
- cat = torch.cat([max_out, avg_out], dim=1)
-
- x_out = self.conv(cat)
-
- return x * self.sigmoid(x_out)
\ No newline at end of file
diff --git a/Attention/cam.py b/Attention/cam.py
deleted file mode 100644
index c8a475f..0000000
--- a/Attention/cam.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import torch
-import torch.nn as nn
-import math
-
-## Channel Attention Module
-class CAM(nn.Module):
- def __init__(self, in_planes, ratio=16):
- super(CAM, self).__init__()
- self.in_planes = in_planes
- self.ratio = ratio
- self.avg_pool = nn.AdaptiveAvgPool2d(1)
- self.max_pool = nn.AdaptiveMaxPool2d(1)
-
- self.fc = nn.Sequential(
- nn.Conv2d(self.in_planes, self.in_planes//self.ratio, 1, bias=False),
- nn.ReLU(inplace=True),
- nn.Conv2d(self.in_planes//self.ratio, self.in_planes, 1, bias=False)
- )
- self.sigmoid = nn.Sigmoid()
-
- def forward(self, x):
- avg_out = self.fc(self.avg_pool(x))
- max_out = self.fc(self.max_pool(x))
-
- out = avg_out + max_out
- return x * self.sigmoid(out)
\ No newline at end of file
diff --git a/Attention/cbam.py b/Attention/cbam.py
deleted file mode 100644
index 883e59b..0000000
--- a/Attention/cbam.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import torch
-import torch.nn as nn
-import math
-from .cam import CAM
-from .sam import SAM
-
-## Convolutional Block Attention Module
-class CBAMBlock(nn.Module):
- def __init__(self, in_planes):
- super(CBAMBlock, self).__init__()
- self.sam = SAM()
- self.cam = CAM(in_planes)
-
- def forward(self, x):
- cam_out = self.cam(x)
- sam_out = self.sam(cam_out)
-
- return sam_out
\ No newline at end of file
diff --git a/Attention/eca.py b/Attention/eca.py
deleted file mode 100644
index 328810f..0000000
--- a/Attention/eca.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import torch
-import torch.nn as nn
-import math
-
-## Efficient Channel Attention Module
-class ECA(nn.Module):
- def __init__(self, in_planes, gamma=2, b=1):
- super(ECA, self).__init__()
- t = int(abs((math.log2(in_planes) / gamma) + b))
- k = t if t % 2 else t + 1
-
- self.avg_pool = nn.AdaptiveAvgPool2d(1)
- self.max_pool = nn.AdaptiveMaxPool2d(1)
-
- self.conv = nn.Conv1d(2, 1, kernel_size=k, padding=(k-1)//2, bias=False)
- self.sigmoid = nn.Sigmoid()
-
- def forward(self, x):
- B, C, _, _ = x.size()
-
- avg_out = self.avg_pool(x).squeeze(-1).transpose(-1, -2) # (B, 1, C)
- max_out = self.max_pool(x).squeeze(-1).transpose(-1, -2) # (B, 1, C)
-
- out = torch.cat([avg_out, max_out], dim=1)
-
- out = self.conv(out) # (B, 1, C)
- out = self.sigmoid(out).transpose(-1, -2).unsqueeze(-1) # (B, C, 1, 1)
-
- return x * out
\ No newline at end of file
diff --git a/Attention/sam.py b/Attention/sam.py
deleted file mode 100644
index 32fbdab..0000000
--- a/Attention/sam.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import torch
-import torch.nn as nn
-import math
-
-## Spatial Attention Module
-class SAM(nn.Module):
- def __init__(self, kernel_size=3):
- super(SAM, self).__init__()
-
- self.conv = nn.Conv2d(2, 1, kernel_size=3, padding='same', bias=False)
- self.sigmoid = nn.Sigmoid()
-
-
- def forward(self, x):
-
- max_out, _ = torch.max(x, dim=1, keepdim=True)
- avg_out = torch.mean(x, dim=1, keepdim=True)
-
- cat = torch.cat([max_out, avg_out], dim=1)
-
- out = self.conv(cat)
-
- return x * self.sigmoid(out)
\ No newline at end of file
diff --git a/Attention/se_block.py b/Attention/se_block.py
deleted file mode 100644
index 5b75374..0000000
--- a/Attention/se_block.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import torch
-import torch.nn as nn
-import math
-
-## Squeeze and Excitation Module
-class SEBlock(nn.Module):
- def __init__(self, in_planes, ratio=16):
- super(SEBlock, self).__init__()
- self.in_planes = in_planes
- self.ratio = ratio
-
- self.avg_pool = nn.AdaptiveAvgPool2d(1)
-
- self.fc = nn.Sequential(
- nn.Conv2d(self.in_planes, self.in_planes//self.ratio, 1, bias=False),
- nn.ReLU(inplace=True),
- nn.Conv2d(self.in_planes//self.ratio, self.in_planes, 1, bias=False),
- )
- self.sigmoid = nn.Sigmoid()
-
- def forward(self, x):
-
- out = self.avg_pool(x)
- out = self.fc(out)
-
- return x * self.sigmoid(out)
\ No newline at end of file
diff --git a/Attention/triplet_attention.py b/Attention/triplet_attention.py
deleted file mode 100644
index 804f42f..0000000
--- a/Attention/triplet_attention.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import torch
-import torch.nn as nn
-import math
-from .attention_gate import AttentionGate
-
-## Triplet Attention Module
-class TripletAttention(nn.Module):
- def __init__(self):
- super(TripletAttention, self).__init__()
-
- self.cw = AttentionGate() # Channel, Width
- self.hc = AttentionGate() # Height, Channel
- self.hw = AttentionGate() # Height, Width
-
- def forward(self, x):
- # x: (Batch, Channel, Height, Width)
-
- # Channel, Width
- x_perm1 = x.permute(0,2,1,3).contiguous()
- x_out1 = self.cw(x_perm1)
- x_out1 = x_out1.permute(0,2,1,3).contiguous()
-
- # Height, Channel
- x_perm2 = x.permute(0,3,2,1).contiguous()
- x_out2 = self.hc(x_perm2)
- x_out2 = x_out2.permute(0,3,2,1).contiguous()
-
- # Height, Width
- x_out = self.hw(x)
- x_out = (x_out + x_out1 + x_out2) / 3
-
- return x_out
\ No newline at end of file
diff --git a/Images/celeb_df_v2_gcvit.png b/Images/celeb_df_v2_gcvit.png
deleted file mode 100644
index 3704f61..0000000
Binary files a/Images/celeb_df_v2_gcvit.png and /dev/null differ
diff --git a/Images/celeb_df_v2_vit.png b/Images/celeb_df_v2_vit.png
deleted file mode 100644
index ebba05f..0000000
Binary files a/Images/celeb_df_v2_vit.png and /dev/null differ
diff --git a/Images/deepfake.JPG b/Images/deepfake.JPG
deleted file mode 100644
index 4506889..0000000
Binary files a/Images/deepfake.JPG and /dev/null differ
diff --git a/Images/ff_compare.png b/Images/ff_compare.png
deleted file mode 100644
index f75129b..0000000
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diff --git a/Images/ff_gcvit.png b/Images/ff_gcvit.png
deleted file mode 100644
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diff --git a/Images/ff_vit.png b/Images/ff_vit.png
deleted file mode 100644
index ad28527..0000000
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diff --git a/Images/kodf_gcvit.png b/Images/kodf_gcvit.png
deleted file mode 100644
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diff --git a/Images/model_architecture.JPG b/Images/model_architecture.JPG
deleted file mode 100644
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Binary files a/Images/model_architecture.JPG and /dev/null differ
diff --git a/Images/ms_eff_gcvit.JPG b/Images/ms_eff_gcvit.JPG
deleted file mode 100644
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diff --git a/Images/multi_scale.JPG b/Images/multi_scale.JPG
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diff --git a/README.md b/README.md
index ac41c6c..755b854 100644
--- a/README.md
+++ b/README.md
@@ -1,14 +1,17 @@
# Deepfakes Detection
-
-
-
-
+
+
+
+
+
+
+
@@ -27,6 +30,7 @@
🇰🇷 한국어 버전 |
+ 🇯🇵 日本語版 |
📈 Model Evaluation |
🔮 Try Demo
@@ -43,6 +47,7 @@
- [📈 Model Evaluation](#-model-evaluation) - Benchmarking results
- [💻 Model Usage](#-model-usage) - How to integrate DeepGuard models into your own Python code or via timm
- [🔮 Predict Image & Video](#-predict-image--video) - Simple Inference examples for detecting deepfakes in image and video
+- [🎨 DeepFake AI Explainability](#-deepfake-ai-explainability) - Visualizing model focus using Grad-CAM and attention maps
- [📬 Authors](#-authors)
- [📝 Reference](#-reference)
- [⚖️ License](#-license)
@@ -132,13 +137,13 @@ Multi Scale Efficient Global Context Vision Transformer is an optimized multi-sc
#### Explore More Details
-- [Model Architecture: MS-EffViT](deepguard/MS_EFFViT.md) - _**Multi Scale Efficient Vision Transformer**_
+- [Model Architecture: MS-EffViT](deepguard/MS_EffViT.md) - _**Multi Scale Efficient Vision Transformer**_
-- [Advanced Architecture: MS-EFFGCViT](deepguard/MS_EFFGCViT.md) - _**Multi Scale Efficient Global Context Vision Transformer**_
+- [Advanced Architecture: MS-EFFGCViT](deepguard/MS_EffGCViT.md) - _**Multi Scale Efficient Global Context Vision Transformer**_
-
+
We utilizes two distinct types of self-attention to capture both long-range and short-range information across feature maps.
@@ -149,7 +154,7 @@ We utilizes two distinct types of self-attention to capture both long-range and
-
+
## 🧬 Model Zoo
@@ -226,7 +231,8 @@ You can load the models directly via the `DeepGuard` package or through the `tim
**Installation**
```bash
-pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+# pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+pip install deepguard
```
@@ -249,13 +255,28 @@ model = timm.create_model("ms_eff_gcvit_b0", pretrained=True, dataset="ff++")
model = timm.create_model("ms_eff_gcvit_b5", pretrained=True, dataset="kodf")
```
+**Option C: Hugging Face Hub**
+
+```python
+import torch
+from huggingface_hub import hf_hub_download
+from deepguard import ms_eff_gcvit_b0 # or ms_eff_gcvit_b5
+
+REPO_ID = "KoreaPeter/ms-eff-gcvit-deepfake"
+
+ckpt = hf_hub_download(REPO_ID, "ms_eff_gcvit_b0_kodf.bin") # celeb_df_v2 | ff++ | kodf
+model = ms_eff_gcvit_b0(pretrained=False)
+model.load_state_dict(torch.load(ckpt, map_location="cpu"))
+model.eval()
+```
+
## 🔮 Predict Image & Video
#### Predict DeepFake Image
```python
-from inference import ImagePredictor
+from inference.image_predictor import ImagePredictor
# Initialize the predictor
predictor = ImagePredictor(
@@ -279,7 +300,7 @@ print(f"Deepfake Probability: {result:.4f}")
```python
-from inference import VideoPredictor
+from inference.video_predictor import VideoPredictor
# Initialize the predictor
predictor = VideoPredictor(
@@ -302,6 +323,151 @@ print(f"Deepfake Probability: {result:.4f}")
```
+## 🎨 DeepFake AI Explainability
+
+Deepfake detection is only as trustworthy as its explanations. DeepGuard integrates a production-ready XAI Toolkit that visualizes where and why the model flags a face as manipulated — turning a black-box score into actionable forensic evidence.
+
+⭐ Validated on hybrid CNN-ViT architectures, specifically `MS-EffViT` and `MS-EffGCViT`.
+⭐ Dual-Branch Analysis: Dual-branch design mirrors the model's own multi-scale reasoning
+
+### 🧠 How Dual-Branch XAI Works
+
+
+
+
+
+
+| Branch | Feature Map | Focus | Best For |
+| ------ | ----------- | ----- | -------- |
+|  | High Resolution | Local Forgery artifacts | Skin texture, boundary blending, compression traces |
+|  | Low Resolution | Global Semantic Structure | Lighting inconsistency, facial geometry, Shadow artifacts |
+
+### 📐 XAI Methods
+
+Each method is assigned to the branch where it performs best empirically.
+
+| Branch | Method | 🎯 Core Idea |
+| :--- | :--- | :--- |
+| **`low level`** | **HiResCAM** | Like GradCAM but element-wise multiply the activations with the gradients; provably guaranteed faithfulness for certain models |
+| **`low level`** | **GradCAMElementWise** | Like GradCAM but element-wise multiply the activations with the gradients then apply a ReLU operation before summing |
+| **`low level`** | **LayerCAM** | Spatially weight the activations by positive gradients. Works better especially in lower layers |
+| --- | --- | --- | --- |
+| **`high level`** | **EigenGradCAM** | Like EigenCAM but with class discrimination: First principle component of Activations*Grad. Looks like GradCAM, but cleaner |
+| **`high level`** | **GradCAM++** | Like GradCAM but uses second order gradients |
+| **`high level`** | **XGradCAM** | Like GradCAM but scale the gradients by the normalized activations |
+
+- **`aug_smooth`** applies TTA (horizontal flips) before averaging CAMs → smoother, more object-aligned maps
+- **`eigen_smooth`** applies PCA noise reduction → retains dominant forgery pattern only
+
+### 💡 DeepFake XAI Usage
+
+**Low-Level Branch — Local Artifact Detection**
+
+```python
+from explainability import HiResCAMExplainer, GradCAMElementWiseExplainer, LayerCAMExplainer
+
+explainer = HiResCAMExplainer(
+ model_name = "ms_eff_gcvit_b0", # or ms_eff_vit_b0, ms_eff_gcvit_b5, ms_eff_vit_b5
+ dataset = "celeb_df_v2", # or ff++, kodf
+ branch_level = "low",
+)
+```
+
+**High-Level Branch — Global Semantic Detection**
+```python
+from explainability import EigenGradCAMExplainer, GradCAMPlusPlusExplainer, XGradCAMExplainer
+
+explainer = EigenGradCAMExplainer(
+ model_name = "ms_eff_gcvit_b0",
+ dataset = "celeb_df_v2",
+ branch_level = "high",
+)
+```
+
+### 🎨 Visualization Modes
+
+
+
+
+
+**1. Heatmap — Continuous activation distribution**
+
+```python
+result = explainer.display_heatmap_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1, # 0: Real, 1: Fake
+ threshold = 0.5, # binarization cutoff (0.5~1.0), or "auto" for Otsu
+ image_weight = 0.5, # 0.0: heatmap only ← → 1.0: original only
+ aug_smooth = False, # TTA smoothing (not supported on 'pro' models)
+ eigen_smooth = False, # PCA noise reduction
+)
+```
+
+**2. Bounding Box — Discrete forgery region localization**
+
+```python
+result = explainer.display_bbox_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1,
+ threshold = 0.5,
+ thickness = 1,
+ aug_smooth = False,
+ eigen_smooth = False,
+)
+```
+
+**3. Heatmap + BBox — Full overlay (recommended for reporting)**
+```python
+result = explainer.display_heatmap_bbox_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1,
+ threshold = 0.5,
+ image_weight = 0.5,
+ aug_smooth = False,
+ eigen_smooth = False,
+)
+```
+
+### 📊 Visual Results
+
+
+
+
+
+
+
+
+
+
+
+#### MS-EFF-VIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  | | | | |
+| **🔥 ms-eff-vit-b5** |  | | | | |
+
+#### MS-Eff-ViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  | | | | |
+| **🔥 ms-eff-vit-b5** |  | | | | |
+
+#### MS-EFF-GCVIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  | | | | |
+| **🔥 ms-eff-gcvit-b5** |  | | | | |
+
+#### MS-Eff-GCViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  | | | | |
+| **🔥 ms-eff-gcvit-b5** |  | | | | |
+
## 📬 Authors
@@ -322,6 +488,7 @@ _**This project was developed as a Senior Graduation Project by the Department o
6. [`deepfake-detection-project-v4`](https://github.com/ameencaslam/deepfake-detection-project-v4) - _Multiple Deep Learning Models by Ameen Caslam_
7. [`Awesome-Deepfake-Detection`](https://github.com/Daisy-Zhang/Awesome-Deepfakes-Detection
) - _A curated list of tools, papers and code by Daisy Zhang_
+8. [`Pytorch-Grad-Cam`](https://github.com/jacobgil/pytorch-grad-cam) - _Advanced Visual Explanations for PyTorch Models_
## ⚖️ License
diff --git a/README_JP.md b/README_JP.md
new file mode 100644
index 0000000..199f443
--- /dev/null
+++ b/README_JP.md
@@ -0,0 +1,484 @@
+# Deepfakes Detection (ディープフェイク検出)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 🇺🇸 English Version |
+ 🇰🇷 한국어 버전 |
+ 📈 モデル評価 |
+ 🔮 デモ実行
+
+
+## 📌 目次
+
+- [💡 インストールと要件](#-インストールと要件)
+- [🛠 セットアップ](#-セットアップ)
+- [📚 ディープフェイク動画ベンチマークデータセット](#-ディープフェイク動画ベンチマークデータセット) — 学習に使用した Celeb-DF-v2, FF++, KoDF データセットの概要。
+- [⚙️ データ準備](#データ準備) — YOLOv8 を用いた効率的な顔検出およびランドマーク抽出パイプライン。
+- [🏗 モデルアーキテクチャ](#-モデルアーキテクチャ) — ハイブリッド CNN-ViT (MS-EffViT & MS-EffGCViT) 設計の詳細。
+- [🧬 Model Zoo](#-model-zoo) — モデルバリアントごとのパラメータ数および演算量(FLOPs)の比較。
+- [🚀 学習](#-学習) - Google Colab および W&B を活用した段階的な学習スクリプト。
+- [📈 モデル評価](#-モデル評価) - ベンチマーク結果。
+- [💻 モデルの使い方](#-モデルの使い方) - Python コードおよび timm を通じた DeepGuard モデルの統合方法。
+- [🔮 画像と動画の予測](#-画像と動画の予測) - ディープフェイク検出のためのシンプルな推論例。
+- [🎨 ディープフェイクAI説明可能性(XAI)](#-ディープフェイクai説明可能性xai) - Grad-CAM およびアテンションマップによるモデル判断根拠の可視化。
+- [📬 制作者](#-制作者)
+- [📝 参考文献](#-参考文献)
+- [⚖️ ライセンス](#-ライセンス)
+
+---
+
+## 💡 インストールと要件
+
+必要なライブラリのインストール:
+
+```bash
+pip install -r requirements.txt
+```
+
+## 🛠 セットアップ
+
+リポジトリをクローンし、該当ディレクトリへ移動します:
+```bash
+git clone https://github.com/HanMoonSub/DeepGuard.git
+cd DeepGuard
+```
+
+## 📚 ディープフェイク動画ベンチマークデータセット
+
+モデルの汎化性能と頑健性を評価するため、広く認知された3つの大規模ベンチマークデータセットを使用します。各データセットはそれぞれ異なる改ざん手法と難易度の高い課題を含んでいます。
+
+| データセット | 実写動画 | 偽造動画 | 年度 | 参加人数 | 説明 (論文タイトル) | 詳細 |
+| :--- | :---: | :---: | :---: | :---: | :--- | :---: |
+| **Celeb-DF-v2** | 890 | 5,639 | 2019 | 59 | *A Large-scale Challenging Dataset for DeepFake Forensics* | [🔗 Readme](preprocess/celeb_df_v2/README.md) |
+| **FaceForensics++** | 1,000 | 6,000 | 2019 | 1,000 | *Learning to Detect Manipulated Facial Images* | [🔗 Readme](preprocess/ff++/README.md) |
+| **KoDF** | 62,166 | 175,776 | 2020 | 400 | *Large-Scale Korean Deepfake Detection Dataset* | [🔗 Readme](preprocess/kodf/README.md) |
+
+
+
+## ⚙️ データ準備
+
+前処理パイプラインは、動画から顔の特徴を効率的に抽出し、高精度なディープフェイク検出に備えるよう設計されています。
+
+### オリジナル顔の検出 (Detect Original Face)
+前処理の効率を最大化するため、**顔検出はオリジナル(Real)動画に対してのみ実行されます。** ベンチマークデータセットの改ざん動画はオリジナル動画と同じ空間座標を共有するため、抽出したバウンディングボックスを偽造動画にもそのまま再利用します。
+
+🚀 **効率化の最適化**
+- **軽量モデル**: 精度を維持しつつ高速な推論を実現する `yolov8n-face` を使用します。
+- **ターゲット処理**: オリジナル動画のみで顔を検出することで、全体の検出作業量を約80%削減しました。
+- **動的リサイズ**: 多様な解像度で一定の推論速度を維持するため、フレームサイズに応じて自動的にサイズを調整します:
+
+| フレームサイズ(長辺基準) | スケール係数 | 動作 |
+| ------------------------ | ------------ | ------ |
+| < 300px | 2.0 |  |
+| 300px - 700px | 1.0 |  |
+| 700px - 1500px | 0.5 |  |
+| > 1500px | 0.33 |  |
+
+### 顔クロップおよびランドマーク抽出
+このモジュールは、前段で生成したバウンディングボックスを用いて、オリジナル動画と偽造動画の両方から顔領域をクロップします。さらに、Landmark-based Cutout のような高度なaugmentation手法のためにランドマーク検出を行います。
+
+🛠 **主な機能**
+- **ジッターを含む動的マージン**: 顔周辺に設定可能なマージンを追加します。`margin_jitter` パラメータはクロップサイズにランダムな変化を与え、モデルが多様な顔スケールに対して頑健になるよう支援します。
+- **ランドマークのローカライズ**: 5つの主要な顔ランドマーク(目、鼻、口角)を検出し、`.npy` ファイルとして保存します。
+
+```Plaintext
+DATA_ROOT/
+├── crops/
+│ └── {video_id}/
+│ ├── 12.png
+│ └── ...
+├── landmarks/
+│ └── {video_id}/
+│ ├── 12.npy
+│ └── ...
+└── train_frame_metadata.csv
+```
+
+### データセット別パイプライン
+
+各データセットの具体的な前処理の詳細は、以下のリンクをクリックしてご確認ください:
+
+* [**Celeb-DF V2 前処理**](/preprocess/celeb_df_v2/README.md)
+* [**FaceForensics++ 前処理**](/preprocess/ff++/README.md)
+* [**KoDF 前処理**](/preprocess/kodf/README.md)
+
+## 🏗 モデルアーキテクチャ
+
+**Multi Scale Efficient Global Context Vision Transformer** は、最適化されたマルチスケール・ハイブリッドアーキテクチャです。CNN の空間的帰納バイアス(Spatial Inductive Bias)と階層的アテンション機構を統合することで、精緻な検出のために微細な(Local)アーティファクトと巨視的な(Global)アーティファクトを効果的に識別します。
+
+#### 詳細情報
+
+- [モデルアーキテクチャ: MS-EffViT](deepguard/MS_EffViT.md) - _**Multi Scale Efficient Vision Transformer**_
+- [発展アーキテクチャ: MS-EFFGCViT](deepguard/MS_EffGCViT.md) - _**Multi Scale Efficient Global Context Vision Transformer**_
+
+
+
+
+
+
+特徴マップ全体にわたって長距離(Long-range)および短距離(Short-range)の情報を共に捉えるため、2種類のセルフアテンションを活用します。
+
+- **Local Window Attention**: 画像サイズに比例する線形計算量を維持しながら、局所的なテクスチャと精密な空間的ディテールを効率的に捉えます。
+- **Global Window Attention**: Swin Transformer とは異なり、このモジュールはローカルウィンドウの Key, Value と相互作用するグローバルクエリ(Global-queries)を用います。これにより各ローカル領域が大域的なコンテキストを取り込み、長距離依存を効果的に把握して空間構造全体の包括的な理解を提供します。
+
+
+
+
+
+## 🧬 Model Zoo
+
+| モデル名 | 解像度 | 総パラメータ(M) | バックボーン(M) | L-ViT(M) | H-ViT(M) | 演算量(FLOPs, G) | 設定ファイル |
+| ----- | ---------- | -------------- | ----------- |------------- | ------------- | -------------- | ------- |
+| ⚡ ms_eff_gcvit_b0 | 224 X 224 | 8.7 | 3.6(41.4%) | 1.7(19.5%) | 3.3(37.9%) | 0.87 | [spec](deepguard/config/ms_eff_gcvit_b5/celeb_df_v2.yaml) |
+| 🔥 ms_eff_gcvit_b5 | 384 X 384 | 50.3 | 27.3(54.3%) | 6.6(13.1%) | 16.1(32.0%) | 13.64 | [spec](deepguard/config/ms_eff_gcvit_b5/celeb_df_v2.yaml) |
+
+## 🚀 学習
+
+`ms_eff_vit` と `ms_eff_gcvit` の両方について学習スクリプトを提供します。無料の GPU 環境として **Google Colab** を、実験の記録およびトラッキングとして **Weights & Biases(W&B)** の使用を推奨します。
+
+#### 📊 Weight & Biases 実験結果
+
+* **ms_eff_vit_b0:** [Celeb-DF-v2 🚀](https://wandb.ai/origin6165/ms_eff_vit_b0_celeb_df_v2) | [FaceForensics++ 🚀](https://wandb.ai/origin6165/ms_eff_vit_b0_ff++) | [KoDF 🚀](https://wandb.ai/origin6165/ms_eff_vit_b0_kodf)
+* **ms_eff_vit_b5:** [Celeb-DF-v2 🚀](https://wandb.ai/origin6165/ms_eff_vit_b5_celeb_df_v2) | [FaceForensics++ 🚀](https://wandb.ai/origin6165/ms_eff_vit_b5_ff++) | [KoDF 🚀](https://wandb.ai/origin6165/ms_eff_vit_b5_kodf)
+* **ms_eff_gcvit_b0:** [Celeb-DF-v2 🚀](https://wandb.ai/origin6165/ms_eff_gcvit_b0_celeb_df_v2) | [FaceForensics++ 🚀](https://wandb.ai/origin6165/ms_eff_gcvit_b0_ff++) | [KoDF 🚀](https://wandb.ai/origin6165/ms_eff_gcvit_b0_kodf)
+* **ms_eff_gcvit_b5:** [Celeb-DF-v2 🚀](https://wandb.ai/origin6165/ms_eff_gcvit_b5_celeb_df_v2) | [FaceForensics++ 🚀](https://wandb.ai/origin6165/ms_eff_gcvit_b5_ff++) | [KoDF 🚀](https://wandb.ai/origin6165/ms_eff_gcvit_b5_kodf)
+
+```python
+!python -m train_eff_vit \ # または train_eff_gcvit
+ --root-dir DATA_ROOT \
+ --model-ver "ms_eff_vit_b5" \ # ms_eff_vit_b0, ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5
+ --dataset "ff++" \ # ff++, celeb_df_v2, kodf
+ --seed 2025 \ # 再現性のためのシード値
+ --wandb-api-key "ご自身のAPIキー" # ご自身のW&B APIキーを入力してください
+```
+
+## 📈 モデル評価
+
+```python
+!python -m inference.predict_video \
+ --root-dir DATA_ROOT \
+ --margin-ratio 0.2 \
+ --conf-thres 0.5 \
+ --min-face-ratio 0.01 \
+ --model-name "ms_eff_gcvit_b0" \ # ms_eff_vit_b0, ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5
+ --model-dataset "kodf" \ # ff++, celeb_df_v2, kodf
+ --num-frames 20 \
+ --tta-hflip 0.0 \
+ --agg-mode "conf" \
+```
+
+**Celeb DF(v2) 事前学習モデル**
+
+| モデルバージョン | Test@Acc | Test@Auc | Test@log_loss | ダウンロード | 学習レシピ |
+| ------------- | -------- | -------- | ---------- | -------- | ----- |
+| ms_eff_gcvit_b0 | 0.9842 | 0.9965 | 0.0283 | [model](https://github.com/HanMoonSub/DeepGuard/releases/download/v0.1.0/ms_eff_gcvit_b0_celeb_df_v2.bin) | [recipe](deepguard/config/ms_eff_gcvit_b0/celeb_df_v2.yaml) |
+| ms_eff_gcvit_b5 | 0.9981 | 0.9984 | 0.0089 | [model](https://github.com/HanMoonSub/DeepGuard/releases/download/v0.1.0/ms_eff_gcvit_b5_celeb_df_v2.bin) | [recipe](deepguard/config/ms_eff_gcvit_b5/celeb_df_v2.yaml) |
+
+**FaceForensics++ 事前学習モデル**
+
+| モデルバージョン | Test@Acc | Test@Auc | Test@log_loss | ダウンロード | 学習レシピ |
+| ------------- | -------- | -------- | ---------- | -------- | ------ |
+| ms_eff_gcvit_b0 | 0.9808 | 0.9969 | 0.0637| [model](https://github.com/HanMoonSub/DeepGuard/releases/download/v0.1.0/ms_eff_gcvit_b0_ff++.bin) | [recipe](deepguard/config/ms_eff_gcvit_b0/celeb_df_v2.yaml) |
+| ms_eff_gcvit_b5 | 0.9850 | 0.9974 | 0.0492 | [model](https://github.com/HanMoonSub/DeepGuard/releases/download/v0.1.0/ms_eff_gcvit_b5_ff++.bin) | [recipe](deepguard/config/ms_eff_gcvit_b5/celeb_df_v2.yaml) |
+
+**KoDF 事前学習モデル**
+
+| モデルバージョン | Test@Acc | Test@Auc | Test@log_loss | ダウンロード | 学習レシピ |
+| ------------- | -------- | -------- | ---------- | -------- | ------ |
+| ms_eff_gcvit_b0 | 0.9655 | 0.9792 | 0.1237 | [model](https://github.com/HanMoonSub/DeepGuard/releases/download/v0.2.0/ms_eff_gcvit_b0_kodf.bin) | [recipe](deepguard/config/ms_eff_gcvit_b0/celeb_df_v2.yaml) |
+| ms_eff_gcvit_b5 | 0.9850 | 0.9974 | 0.0492 | [model](https://github.com/HanMoonSub/DeepGuard/releases/download/v0.2.0/ms_eff_gcvit_b5_kodf.bin) | [recipe](deepguard/config/ms_eff_gcvit_b5/celeb_df_v2.yaml) |
+
+## 💻 モデルの使い方
+
+**クイックスタート**
+`DeepGuard` パッケージを直接インポートするか、`timm` インターフェースを通じてモデルをロードできます。
+
+**対応データセット**: `celeb_df_v2`, `ff++`, `kodf`
+
+**インストール**
+
+```bash
+# pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+pip install deepguard
+```
+
+
+**方法 A: 直接インポート (DeepGuard 使用)**
+
+```python
+from deepguard import ms_eff_gcvit_b0, ms_eff_gcvit_b5
+
+model = ms_eff_gcvit_b0(pretrained=True, dataset="celeb_df_v2")
+model = ms_eff_gcvit_b5(pretrained=True, dataset="ff++")
+```
+
+**方法 B: timm インターフェース使用**
+
+```python
+import timm
+import deepguard
+
+model = timm.create_model("ms_eff_gcvit_b0", pretrained=True, dataset="ff++")
+model = timm.create_model("ms_eff_gcvit_b5", pretrained=True, dataset="kodf")
+```
+
+**方法 C: Hugging Face Hub**
+
+```python
+import torch
+from huggingface_hub import hf_hub_download
+from deepguard import ms_eff_gcvit_b0 # or ms_eff_gcvit_b5
+
+REPO_ID = "KoreaPeter/ms-eff-gcvit-deepfake"
+
+ckpt = hf_hub_download(REPO_ID, "ms_eff_gcvit_b0_kodf.bin") # celeb_df_v2 | ff++ | kodf
+model = ms_eff_gcvit_b0(pretrained=False)
+model.load_state_dict(torch.load(ckpt, map_location="cpu"))
+model.eval()
+```
+
+## 🔮 画像と動画の予測
+
+#### ディープフェイク画像の予測
+
+```python
+from inference.image_predictor import ImagePredictor
+
+# 予測器の初期化
+predictor = ImagePredictor(
+ margin_ratio = 0.2, # 検出された顔クロップ周辺のマージン比率
+ conf_thres = 0.5, # 顔検出の信頼度しきい値
+ min_face_ratio = 0.01, # 処理対象とするフレーム比の最小顔サイズ比率
+ model_name = "ms_eff_vit_b0", # ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5 から選択
+ dataset = "celeb_df_v2" # ff++, kodf データセットから選択
+ )
+
+# 推論の実行
+result = predictor.predict_img(
+ img_path="path/to/image.jpg",
+ tta_hflip=0.0 # テスト時augmentation(TTA)用の水平反転確率
+ )
+
+print(f"ディープフェイク確率: {result:.4f}")
+```
+
+#### ディープフェイク動画の予測
+
+```python
+from inference.video_predictor import VideoPredictor
+
+# 予測器の初期化
+predictor = VideoPredictor(
+ margin_ratio = 0.2, # 検出された顔クロップ周辺のマージン比率
+ conf_thres = 0.5, # 顔検出の信頼度しきい値
+ min_face_ratio = 0.01, # 処理対象とするフレーム比の最小顔サイズ比率
+ model_name = "ms_eff_vit_b0", # ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5 から選択
+ dataset = "celeb_df_v2" # ff++, kodf データセットから選択
+ )
+
+# 推論の実行
+result = predictor.predict_video(
+ video_path = "path/to/video.mp4",
+ num_frames = 20, # 動画あたりのサンプリングフレーム数
+ agg_mode = "conf", # 集約方式: 'conf', 'mean', 'vote'
+ tta_hflip=0.0 # テスト時augmentation(TTA)用の水平反転確率
+ )
+
+print(f"ディープフェイク確率: {result:.4f}")
+```
+
+## 🎨 ディープフェイクAI説明可能性(XAI)
+
+ディープフェイク検出は、その判断根拠が説明可能であって初めて信頼に値します。DeepGuard は、モデルがどの顔を *どこで、なぜ* 改ざんと判断したのかを可視化する **プロダクションレベルの XAI ツールキット** を統合し、ブラックボックスのスコアを実用的なフォレンジック証拠へと転換します。
+
+⭐ ハイブリッド CNN-ViT アーキテクチャ、特に `MS-EffViT` と `MS-EffGCViT` で検証済みです。
+⭐ **デュアルブランチ分析(Dual-Branch Analysis)**: デュアルブランチ設計は、モデル自身のマルチスケール推論方式をそのまま反映します。
+
+### 🧠 デュアルブランチ XAI の仕組み
+
+
+
+
+
+| ブランチ | 特徴マップ | 焦点 | 最適な用途 |
+| ------ | ----------- | ----- | -------- |
+|  | 高解像度 | 局所的な偽造アーティファクト | 肌のテクスチャ、境界のブレンディング、圧縮痕跡 |
+|  | 低解像度 | 大域的な意味構造 | 照明の不整合、顔の幾何構造、影のアーティファクト |
+
+### 📐 XAI 手法
+
+各手法は、経験的に最も高い性能を示すブランチに割り当てられています。
+
+| ブランチ | 手法 | 🎯 コアアイデア |
+| :--- | :--- | :--- |
+| **`low level`** | **HiResCAM** | GradCAM に似ているが、活性化(activation)と勾配を要素ごと(element-wise)に乗算する。特定のモデルに対して忠実性(faithfulness)が理論的に保証される |
+| **`low level`** | **GradCAMElementWise** | GradCAM に似ているが、活性化と勾配を要素ごとに乗算した後、総和を取る前に ReLU を適用する |
+| **`low level`** | **LayerCAM** | 正の勾配で活性化に空間的な重み付けを行う。特に下位層でより良く機能する |
+| **`high level`** | **EigenGradCAM** | EigenCAM に似ているがクラス判別性を追加: (活性化×勾配)の第1主成分(First principal component)。GradCAM に近いがよりクリーン |
+| **`high level`** | **GradCAM++** | GradCAM に似ているが2次勾配(second order gradients)を使用する |
+| **`high level`** | **XGradCAM** | GradCAM に似ているが、正規化された活性化で勾配をスケーリングする |
+
+- **`aug_smooth`**: CAM を平均化する前に TTA(水平反転)を適用 → より滑らかで対象によく整列したマップを生成
+- **`eigen_smooth`**: PCA ノイズ除去を適用 → 支配的な偽造パターンのみを保持
+
+### 💡 ディープフェイク XAI の使い方
+
+**Low-Level ブランチ — 局所的アーティファクト検出**
+
+```python
+from explainability import HiResCAMExplainer, GradCAMElementWiseExplainer, LayerCAMExplainer
+
+explainer = HiResCAMExplainer(
+ model_name = "ms_eff_gcvit_b0", # ms_eff_vit_b0, ms_eff_gcvit_b5, ms_eff_vit_b5 から選択
+ dataset = "celeb_df_v2", # ff++, kodf から選択
+ branch_level = "low",
+)
+```
+
+**High-Level ブランチ — 大域的意味構造検出**
+```python
+from explainability import EigenGradCAMExplainer, GradCAMPlusPlusExplainer, XGradCAMExplainer
+
+explainer = EigenGradCAMExplainer(
+ model_name = "ms_eff_gcvit_b0",
+ dataset = "celeb_df_v2",
+ branch_level = "high",
+)
+```
+
+### 🎨 可視化モード
+
+
+
+
+
+**1. Heatmap — 連続的な活性化分布**
+
+```python
+result = explainer.display_heatmap_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1, # 0: Real, 1: Fake
+ threshold = 0.5, # 二値化カットオフ (0.5~1.0)、またはOtsu自動しきい値は "auto"
+ image_weight = 0.5, # 0.0: ヒートマップのみ ← → 1.0: 元画像のみ
+ aug_smooth = False, # TTAスムージング ('pro'モデルは非対応)
+ eigen_smooth = False, # PCAノイズ除去
+)
+```
+
+**2. Bounding Box — 離散的な偽造領域のローカライズ**
+
+```python
+result = explainer.display_bbox_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1,
+ threshold = 0.5,
+ thickness = 1,
+ aug_smooth = False,
+ eigen_smooth = False,
+)
+```
+
+**3. Heatmap + BBox — 統合オーバーレイ (レポート作成時に推奨)**
+```python
+result = explainer.display_heatmap_bbox_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1,
+ threshold = 0.5,
+ image_weight = 0.5,
+ aug_smooth = False,
+ eigen_smooth = False,
+)
+```
+
+### 📊 可視化結果
+
+
+
+
+
+
+
+
+
+
+
+
+#### MS-EFF-VIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  | | | | |
+| **🔥 ms-eff-vit-b5** |  | | | | |
+
+#### MS-Eff-ViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  | | | | |
+| **🔥 ms-eff-vit-b5** |  | | | | |
+
+#### MS-EFF-GCVIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  | | | | |
+| **🔥 ms-eff-gcvit-b5** |  | | | | |
+
+#### MS-Eff-GCViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  | | | | |
+| **🔥 ms-eff-gcvit-b5** |  | | | | |
+
+
+## 📬 制作者
+
+_**本プロジェクトは、忠北大学校(CBNU)ソフトウェア学部の卒業制作(Senior Graduation Project)として開発されました。**_
+
+* **ハン・ムンソプ(한문섭)**: **Data & Backend Engineering** (データ前処理パイプライン、DBスキーマ設計) — [hanmoon3054@gmail.com](mailto:hanmoon3054@gmail.com)
+* **イ・イェソル(이예솔)**: **UI/UX & Frontend Engineering** (UI/UXデザイン、ユーザーダッシュボード、モデル可視化) — [yesol4138@chungbuk.ac.kr](mailto:yesol4138@chungbuk.ac.kr)
+* **ソ・ユンジェ(서윤제)**: **AI Engineering** (AIモデルアーキテクチャ設計、推論API設計、モデルサービング) — [seoyunje2001@gmail.com](mailto:seoyunje2001@gmail.com)
+
+
+## 📝 参考文献
+
+1. [`facenet-pytorch`](https://github.com/timesler/facenet-pytorch) - _Tim Esler による事前学習済み顔検出(MTCNN)および認識(InceptionResNet)モデル_
+2. [`face-cutout`](https://github.com/sowmen/face-cutout) - _Sowmen による Face Cutout ライブラリ_
+3. [`Celeb-DF++`](https://github.com/OUC-VAS/Celeb-DF-PP) - _OUC-VAS Group による Celeb-DF++ データセット_
+4. [`DeeperForensics-1.0`](https://github.com/EndlessSora/DeeperForensics-1.0) - _Endless Sora による DeeperForensics-1.0 データセット_
+5. [`Deepfake Detection`](https://github.com/abhijithjadhav/Deepfake_detection_using_deep_learning) - _Abhijith Jadhav による ResNext と LSTM を用いた動画ディープフェイク検出_
+6. [`deepfake-detection-project-v4`](https://github.com/ameencaslam/deepfake-detection-project-v4) - _Ameen Caslam による複数のディープラーニングモデル_
+7. [`Awesome-Deepfake-Detection`](https://github.com/Daisy-Zhang/Awesome-Deepfakes-Detection) - _Daisy Zhang がまとめたツール・論文・コードのキュレーションリスト_
+8. [`Pytorch-Grad-Cam`](https://github.com/jacobgil/pytorch-grad-cam) - _PyTorch モデルのための高度な視覚的説明ツール_
+
+## ⚖️ ライセンス
+
+本プロジェクトは MIT ライセンスの条件の下で配布されます。
\ No newline at end of file
diff --git a/README_KR.md b/README_KR.md
index 1c06bef..02efcb8 100644
--- a/README_KR.md
+++ b/README_KR.md
@@ -1,14 +1,17 @@
-# Deepfakes Detection (딥페이크 탐지)
-
-
-
-
+# Deepfakes Detection
+
+
+
+
+
+
+
@@ -27,6 +30,7 @@
🇺🇸 English Version |
+ 🇯🇵 日本語版 |
📈 모델 평가 |
🔮 데모 실행
@@ -38,11 +42,12 @@
- [📚 딥페이크 비디오 벤치마크 데이터셋](#-딥페이크-비디오-벤치마크-데이터셋) — 학습에 사용된 Celeb-DF-v2, FF++, KoDF 데이터셋 개요.
- [⚙️ 데이터 준비](#데이터-준비) — YOLOv8을 이용한 효율적인 얼굴 검출 및 랜드마크 추출 파이프라인.
- [🏗 모델 구조](#-모델-구조) — 하이브리드 CNN-ViT (MS-EffViT & MS-EffGCViT) 설계 상세.
-- [🧬 모델 주(Model Zoo)](#-모델-주model-zoo) — 모델 변체별 파라미터 수 및 연산량(FLOPs) 비교.
+- [🧬 모델 주(Model Zoo)](#-model-zoo) — 모델 변체별 파라미터 수 및 연산량(FLOPs) 비교.
- [🚀 학습](#-학습) - Google Colab 및 W&B를 활용한 단계별 학습 스크립트.
- [📈 모델 평가](#-모델-평가) - 벤치마크 결과.
- [💻 모델 사용법](#-모델-사용법) - Python 코드 및 timm을 통한 DeepGuard 모델 통합 방법.
- [🔮 이미지 및 비디오 예측](#-이미지-및-비디오-예측) - 딥페이크 탐지를 위한 간단한 추론 예시.
+- [🎨 딥페이크 AI 설명가능성(XAI)](#-딥페이크-ai-설명가능성xai) - Grad-CAM 및 어텐션 맵을 통한 모델 판단 근거 시각화.
- [📬 제작자](#-제작자)
- [📝 참고 문헌](#-참고-문헌)
- [⚖️ 라이선스](#-라이선스)
@@ -61,7 +66,7 @@ pip install -r requirements.txt
저장소를 클론하고 해당 디렉토리로 이동합니다:
```bash
-git clone [https://github.com/HanMoonSub/DeepGuard.git](https://github.com/HanMoonSub/DeepGuard.git)
+git clone https://github.com/HanMoonSub/DeepGuard.git
cd DeepGuard
```
@@ -130,12 +135,12 @@ DATA_ROOT/
#### 상세 정보 확인
-- [모델 구조: MS-EffViT](deepguard/MS_EFFViT.md) - _**Multi Scale Efficient Vision Transformer**_
-- [심화 구조: MS-EFFGCViT](deepguard/MS_EFFGCViT.md) - _**Multi Scale Efficient Global Context Vision Transformer**_
+- [모델 구조: MS-EffViT](deepguard/MS_EffViT.md) - _**Multi Scale Efficient Vision Transformer**_
+- [심화 구조: MS-EFFGCViT](deepguard/MS_EffGCViT.md) - _**Multi Scale Efficient Global Context Vision Transformer**_
-
+
특징 맵 전체에 걸쳐 장거리(Long-range) 및 단거리(Short-range) 정보를 모두 캡처하기 위해 두 가지 유형의 셀프 어텐션을 활용합니다.
@@ -144,10 +149,10 @@ DATA_ROOT/
- **Global Window Attention**: Swin Transformer와 달리, 이 모듈은 로컬 윈도우의 Key, Value와 상호작용하는 글로벌 쿼리(Global-queries)를 사용합니다. 이를 통해 각 로컬 영역이 전역 컨텍스트를 수용하게 함으로써 장거리 의존성을 효과적으로 파악하고 전체 공간 구조에 대한 포괄적인 이해를 제공합니다.
-
+
-## 🧬 모델 주(Model Zoo)
+## 🧬 Model Zoo
| 모델명 | 해상도 | 총 파라미터(M) | 백본(M) | L-ViT(M) | H-ViT(M) | 연산량(FLOPs, G) | 설정 파일 |
| ----- | ---------- | -------------- | ----------- |------------- | ------------- | -------------- | ------- |
@@ -220,7 +225,8 @@ DATA_ROOT/
**설치**
```bash
-pip install -U git+[https://github.com/HanMoonSub/DeepGuard.git](https://github.com/HanMoonSub/DeepGuard.git)
+# pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+pip install deepguard
```
@@ -243,12 +249,27 @@ model = timm.create_model("ms_eff_gcvit_b0", pretrained=True, dataset="ff++")
model = timm.create_model("ms_eff_gcvit_b5", pretrained=True, dataset="kodf")
```
+**방법 C: Hugging Face Hub**
+
+```python
+import torch
+from huggingface_hub import hf_hub_download
+from deepguard import ms_eff_gcvit_b0 # or ms_eff_gcvit_b5
+
+REPO_ID = "KoreaPeter/ms-eff-gcvit-deepfake"
+
+ckpt = hf_hub_download(REPO_ID, "ms_eff_gcvit_b0_kodf.bin") # celeb_df_v2 | ff++ | kodf
+model = ms_eff_gcvit_b0(pretrained=False)
+model.load_state_dict(torch.load(ckpt, map_location="cpu"))
+model.eval()
+```
+
## 🔮 이미지 및 비디오 예측
#### 딥페이크 이미지 예측
```python
-from inference import ImagePredictor
+from inference.image_predictor import ImagePredictor
# 예측기 초기화
predictor = ImagePredictor(
@@ -271,7 +292,7 @@ print(f"딥페이크 확률: {result:.4f}")
#### 딥페이크 비디오 예측
```python
-from inference import VideoPredictor
+from inference.video_predictor import VideoPredictor
# 예측기 초기화
predictor = VideoPredictor(
@@ -293,6 +314,150 @@ result = predictor.predict_video(
print(f"딥페이크 확률: {result:.4f}")
```
+## 🎨 딥페이크 AI 설명가능성(XAI)
+
+딥페이크 탐지는 그 판단 근거가 설명될 수 있을 때 비로소 신뢰받을 수 있습니다. DeepGuard는 모델이 어떤 얼굴을 *어디서, 왜* 조작된 것으로 판단했는지 시각화하는 **프로덕션 레벨의 XAI 툴킷**을 통합하여, 블랙박스 점수를 실질적인 포렌식 증거로 전환합니다.
+
+⭐ 하이브리드 CNN-ViT 아키텍처, 특히 `MS-EffViT`와 `MS-EffGCViT`에서 검증되었습니다.
+⭐ **듀얼 브랜치 분석(Dual-Branch Analysis)**: 듀얼 브랜치 설계는 모델 자체의 멀티 스케일 추론 방식을 그대로 반영합니다.
+
+### 🧠 듀얼 브랜치 XAI 작동 원리
+
+
+
+
+
+| 브랜치 | 특징 맵 | 초점 | 최적 용도 |
+| ------ | ----------- | ----- | -------- |
+|  | 고해상도 | 국부적 위조 아티팩트 | 피부 질감, 경계 블렌딩, 압축 흔적 |
+|  | 저해상도 | 전역 의미 구조 | 조명 불일치, 얼굴 기하 구조, 그림자 아티팩트 |
+
+### 📐 XAI 기법
+
+각 기법은 경험적으로 가장 좋은 성능을 보이는 브랜치에 배정되었습니다.
+
+| 브랜치 | 기법 | 🎯 핵심 아이디어 |
+| :--- | :--- | :--- |
+| **`low level`** | **HiResCAM** | GradCAM과 유사하나 활성화(activation)와 그래디언트를 요소별(element-wise)로 곱함. 특정 모델에 대해 충실도(faithfulness)가 이론적으로 보장됨 |
+| **`low level`** | **GradCAMElementWise** | GradCAM과 유사하나 활성화와 그래디언트를 요소별로 곱한 뒤, 합산 전에 ReLU를 적용 |
+| **`low level`** | **LayerCAM** | 양의 그래디언트로 활성화에 공간적 가중치를 부여. 특히 하위 레이어에서 더 잘 작동 |
+| **`high level`** | **EigenGradCAM** | EigenCAM과 유사하나 클래스 판별력을 추가: (활성화×그래디언트)의 제1주성분(First principal component). GradCAM과 비슷하면서도 더 깔끔 |
+| **`high level`** | **GradCAM++** | GradCAM과 유사하나 2차 그래디언트(second order gradients)를 사용 |
+| **`high level`** | **XGradCAM** | GradCAM과 유사하나 정규화된 활성화로 그래디언트를 스케일링 |
+
+- **`aug_smooth`**: CAM을 평균화하기 전에 TTA(수평 뒤집기)를 적용 → 더 부드럽고 객체에 잘 정렬된 맵 생성
+- **`eigen_smooth`**: PCA 노이즈 제거를 적용 → 지배적인 위조 패턴만 유지
+
+### 💡 딥페이크 XAI 사용법
+
+**Low-Level 브랜치 — 국부적 아티팩트 탐지**
+
+```python
+from explainability import HiResCAMExplainer, GradCAMElementWiseExplainer, LayerCAMExplainer
+
+explainer = HiResCAMExplainer(
+ model_name = "ms_eff_gcvit_b0", # ms_eff_vit_b0, ms_eff_gcvit_b5, ms_eff_vit_b5 중 선택
+ dataset = "celeb_df_v2", # ff++, kodf 중 선택
+ branch_level = "low",
+)
+```
+
+**High-Level 브랜치 — 전역 의미 구조 탐지**
+```python
+from explainability import EigenGradCAMExplainer, GradCAMPlusPlusExplainer, XGradCAMExplainer
+
+explainer = EigenGradCAMExplainer(
+ model_name = "ms_eff_gcvit_b0",
+ dataset = "celeb_df_v2",
+ branch_level = "high",
+)
+```
+
+### 🎨 시각화 모드
+
+
+
+
+
+**1. Heatmap — 연속적인 활성화 분포**
+
+```python
+result = explainer.display_heatmap_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1, # 0: Real, 1: Fake
+ threshold = 0.5, # 이진화 컷오프 (0.5~1.0), 또는 Otsu 자동 임계값은 "auto"
+ image_weight = 0.5, # 0.0: 히트맵만 ← → 1.0: 원본만
+ aug_smooth = False, # TTA 스무딩 ('pro' 모델은 미지원)
+ eigen_smooth = False, # PCA 노이즈 제거
+)
+```
+
+**2. Bounding Box — 이산적인 위조 영역 지역화**
+
+```python
+result = explainer.display_bbox_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1,
+ threshold = 0.5,
+ thickness = 1,
+ aug_smooth = False,
+ eigen_smooth = False,
+)
+```
+
+**3. Heatmap + BBox — 통합 오버레이 (리포팅 시 권장)**
+```python
+result = explainer.display_heatmap_bbox_on_image(
+ img_path = "path/to/image.jpg",
+ category = 1,
+ threshold = 0.5,
+ image_weight = 0.5,
+ aug_smooth = False,
+ eigen_smooth = False,
+)
+```
+
+### 📊 시각화 결과
+
+
+
+
+
+
+
+
+
+
+
+
+#### MS-EFF-VIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  | | | | |
+| **🔥 ms-eff-vit-b5** |  | | | | |
+
+#### MS-Eff-ViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  | | | | |
+| **🔥 ms-eff-vit-b5** |  | | | | |
+
+#### MS-EFF-GCVIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  | | | | |
+| **🔥 ms-eff-gcvit-b5** |  | | | | |
+
+#### MS-Eff-GCViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  | | | | |
+| **🔥 ms-eff-gcvit-b5** |  | | | | |
+
## 📬 제작자
@@ -309,11 +474,11 @@ _**본 프로젝트는 충북대학교(CBNU) 소프트웨어학부 졸업 작품
2. [`face-cutout`](https://github.com/sowmen/face-cutout) - _Sowmen의 Face Cutout 라이브러리_
3. [`Celeb-DF++`](https://github.com/OUC-VAS/Celeb-DF-PP) - _OUC-VAS Group의 Celeb-DF++ 데이터셋_
4. [`DeeperForensics-1.0`](https://github.com/EndlessSora/DeeperForensics-1.0) - _Endless Sora의 DeeperForensics-1.0 데이터셋_
-5. [`Deepfake Detection`](https://github.com/abhijithjadhav/Deepfake_detection_using_deep_learning) - _Abhijith Jadhav의 ResNext와 LSTM을 이용한 딥페이크 탐지_
-6. [`deepfake-detection-project-v4`](https://github.com/ameencaslam/deepfake-detection-project-v4) - _Ameen Caslam의 다양한 딥러닝 모델들_
-7. [`Awesome-Deepfake-Detection`](https://github.com/Daisy-Zhang/Awesome-Deepfakes-Detection
-) - _Daisy Zhang이 정리한 도구, 논문 및 코드 리스트_
+5. [`Deepfake Detection`](https://github.com/abhijithjadhav/Deepfake_detection_using_deep_learning) - _Abhijith Jadhav의 ResNext와 LSTM을 이용한 비디오 딥페이크 탐지_
+6. [`deepfake-detection-project-v4`](https://github.com/ameencaslam/deepfake-detection-project-v4) - _Ameen Caslam의 다중 딥러닝 모델_
+7. [`Awesome-Deepfake-Detection`](https://github.com/Daisy-Zhang/Awesome-Deepfakes-Detection) - _Daisy Zhang이 정리한 도구, 논문, 코드 큐레이션 목록_
+8. [`Pytorch-Grad-Cam`](https://github.com/jacobgil/pytorch-grad-cam) - _PyTorch 모델을 위한 고급 시각적 설명 도구_
## ⚖️ 라이선스
-본 프로젝트는 MIT 라이선스의 규정에 따라 라이선스가 부여됩니다.
\ No newline at end of file
+본 프로젝트는 MIT 라이선스 조건에 따라 배포됩니다.
\ No newline at end of file
diff --git a/Videos/display_img.py b/Videos/display_img.py
deleted file mode 100644
index e412e12..0000000
--- a/Videos/display_img.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import os
-import argparse
-import cv2
-
-# -------------------------------
-# Display specific frame
-# -------------------------------
-def display_img(video_path: str, frame_number: int) -> None:
- cap = cv2.VideoCapture(video_path)
- if not cap.isOpened():
- raise FileNotFoundError(f"Could not open video file: {video_path}")
-
- total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
- if frame_number < 1 or frame_number > total_frames:
- cap.release()
- raise ValueError(f"Frame number {frame_number} is out of range (1-{total_frames})")
-
- cap.set(cv2.CAP_PROP_POS_FRAMES, frame_number - 1)
- ret, frame = cap.read()
- cap.release()
- if not ret or frame is None:
- raise RuntimeError(f"Failed to read frame {frame_number} from {video_path}")
-
- cv2.imshow(f"Frame {frame_number}/{total_frames}", frame)
- print("Press any key to close window...")
- cv2.waitKey(0)
- cv2.destroyAllWindows()
-
-# -------------------------------
-# Main
-# -------------------------------
-def main():
- parser = argparse.ArgumentParser(description="Play a video or display a specific frame")
- parser.add_argument("--video_path", type=str, required=True, help="Path to video file")
- parser.add_argument("--frame", type=int, default=1, help="Frame number in Video")
-
- args = parser.parse_args()
- print(args)
-
- if not os.path.exists(args.video_path):
- raise FileNotFoundError(f"Video file not found: {args.video_path}")
-
- display_img(args.video_path, args.frame)
-
-if __name__ == "__main__":
- main()
diff --git a/Videos/display_video.py b/Videos/display_video.py
deleted file mode 100644
index bbdab81..0000000
--- a/Videos/display_video.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import os
-import argparse
-import cv2
-
-# -------------------------------
-# Display whole video
-# -------------------------------
-
-## cv2.CAP_PROP_FPS: Video Frame per Second
-## cv2.CAP_PROP_FRAME_COUNT: Video Total Frames
-## cv2.CAP_PROP_FRAME_HEIGHT: Frame Height
-## cv2.CAP_PROP_FRAME_WIDTH: Frame Width
-
-def display_video(video_path: str, resize_width: int = None) -> None:
- cap = cv2.VideoCapture(video_path)
- if not cap.isOpened():
- raise FileNotFoundError(f"Could not open video file: {video_path}")
-
- fps = cap.get(cv2.CAP_PROP_FPS)
- total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
- delay = int(1000 / fps) if fps > 0 else 30
-
- h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
- w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
-
- print(f"🎬 Playing video: {video_path}")
- print(f"📸 FPS: {fps:.2f}, Total_Frames: {total_frames}, Delay: {delay}ms")
- print(f"📸 Frame Width: {w}, Frame Height: {h}")
- print("Press 'q' to stop playback.")
-
- while True:
- ret, frame = cap.read()
- if not ret:
- print("✅ Video playback finished.")
- break
-
- if resize_width is not None:
- new_h = int(resize_width * h / w)
- frame = cv2.resize(frame, (resize_width, new_h))
-
- cv2.imshow("Video Playback", frame)
-
- if cv2.waitKey(delay) & 0xFF == ord('q'):
- print("🛑 Video stopped by user.")
- break
-
- cap.release()
- cv2.destroyAllWindows()
-
-# -------------------------------
-# Main
-# -------------------------------
-def main():
- parser = argparse.ArgumentParser(description="Play a video or display a specific frame")
- parser.add_argument("--video_path", type=str, required=True, help="Path to video file")
- parser.add_argument("--width", type=int, default=None, help="Resize width (optional, used only in 'video' mode')")
- args = parser.parse_args()
-
- print(args)
-
- if not os.path.exists(args.video_path):
- raise FileNotFoundError(f"Video file not found: {args.video_path}")
-
- display_video(args.video_path, args.width)
-
-if __name__ == "__main__":
- main()
diff --git a/Videos/sample2.mp4 b/Videos/sample2.mp4
deleted file mode 100644
index d9abaca..0000000
Binary files a/Videos/sample2.mp4 and /dev/null differ
diff --git a/Videos/sample3.mp4 b/Videos/sample3.mp4
deleted file mode 100644
index 3db3330..0000000
Binary files a/Videos/sample3.mp4 and /dev/null differ
diff --git a/client/README.md b/client/README.md
new file mode 100644
index 0000000..58beeac
--- /dev/null
+++ b/client/README.md
@@ -0,0 +1,70 @@
+# Getting Started with Create React App
+
+This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
+
+## Available Scripts
+
+In the project directory, you can run:
+
+### `npm start`
+
+Runs the app in the development mode.\
+Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
+
+The page will reload when you make changes.\
+You may also see any lint errors in the console.
+
+### `npm test`
+
+Launches the test runner in the interactive watch mode.\
+See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
+
+### `npm run build`
+
+Builds the app for production to the `build` folder.\
+It correctly bundles React in production mode and optimizes the build for the best performance.
+
+The build is minified and the filenames include the hashes.\
+Your app is ready to be deployed!
+
+See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
+
+### `npm run eject`
+
+**Note: this is a one-way operation. Once you `eject`, you can't go back!**
+
+If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
+
+Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
+
+You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
+
+## Learn More
+
+You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
+
+To learn React, check out the [React documentation](https://reactjs.org/).
+
+### Code Splitting
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
+
+### Analyzing the Bundle Size
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
+
+### Making a Progressive Web App
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
+
+### Advanced Configuration
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
+
+### Deployment
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
+
+### `npm run build` fails to minify
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)
diff --git a/client/package.json b/client/package.json
new file mode 100644
index 0000000..0c94b5d
--- /dev/null
+++ b/client/package.json
@@ -0,0 +1,44 @@
+{
+ "name": "client",
+ "version": "0.1.0",
+ "private": true,
+ "dependencies": {
+ "@testing-library/dom": "^10.4.1",
+ "@testing-library/jest-dom": "^6.9.1",
+ "@testing-library/react": "^16.3.2",
+ "@testing-library/user-event": "^13.5.0",
+ "axios": "^1.13.6",
+ "react": "^19.2.4",
+ "react-dom": "^19.2.4",
+ "react-router-dom": "^7.13.1",
+ "react-scripts": "5.0.1",
+ "web-vitals": "^2.1.4"
+ },
+ "scripts": {
+ "start": "react-scripts start",
+ "build": "react-scripts build",
+ "test": "react-scripts test",
+ "eject": "react-scripts eject"
+ },
+ "eslintConfig": {
+ "extends": [
+ "react-app",
+ "react-app/jest"
+ ]
+ },
+ "browserslist": {
+ "production": [
+ ">0.2%",
+ "not dead",
+ "not op_mini all"
+ ],
+ "development": [
+ "last 1 chrome version",
+ "last 1 firefox version",
+ "last 1 safari version"
+ ]
+ },
+ "devDependencies": {
+ "http-proxy-middleware": "^3.0.5"
+ }
+}
diff --git a/client/public/favicon.ico b/client/public/favicon.ico
new file mode 100644
index 0000000..a11777c
Binary files /dev/null and b/client/public/favicon.ico differ
diff --git a/client/public/index.html b/client/public/index.html
new file mode 100644
index 0000000..aa069f2
--- /dev/null
+++ b/client/public/index.html
@@ -0,0 +1,43 @@
+
+
+
+
+
+
+
+
+
+
+
+
+ React App
+
+
+ You need to enable JavaScript to run this app.
+
+
+
+
diff --git a/client/public/logo192.png b/client/public/logo192.png
new file mode 100644
index 0000000..fc44b0a
Binary files /dev/null and b/client/public/logo192.png differ
diff --git a/client/public/logo512.png b/client/public/logo512.png
new file mode 100644
index 0000000..a4e47a6
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diff --git a/client/public/manifest.json b/client/public/manifest.json
new file mode 100644
index 0000000..080d6c7
--- /dev/null
+++ b/client/public/manifest.json
@@ -0,0 +1,25 @@
+{
+ "short_name": "React App",
+ "name": "Create React App Sample",
+ "icons": [
+ {
+ "src": "favicon.ico",
+ "sizes": "64x64 32x32 24x24 16x16",
+ "type": "image/x-icon"
+ },
+ {
+ "src": "logo192.png",
+ "type": "image/png",
+ "sizes": "192x192"
+ },
+ {
+ "src": "logo512.png",
+ "type": "image/png",
+ "sizes": "512x512"
+ }
+ ],
+ "start_url": ".",
+ "display": "standalone",
+ "theme_color": "#000000",
+ "background_color": "#ffffff"
+}
diff --git a/client/public/robots.txt b/client/public/robots.txt
new file mode 100644
index 0000000..e9e57dc
--- /dev/null
+++ b/client/public/robots.txt
@@ -0,0 +1,3 @@
+# https://www.robotstxt.org/robotstxt.html
+User-agent: *
+Disallow:
diff --git a/client/public/samples/images/asian_fake_1.JPG b/client/public/samples/images/asian_fake_1.JPG
new file mode 100644
index 0000000..c835a50
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diff --git a/client/public/samples/images/asian_fake_2.JPG b/client/public/samples/images/asian_fake_2.JPG
new file mode 100644
index 0000000..2e5cb74
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diff --git a/client/public/samples/images/western_fake_1.JPG b/client/public/samples/images/western_fake_1.JPG
new file mode 100644
index 0000000..85a0e1a
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diff --git a/client/public/samples/images/western_fake_2.JPG b/client/public/samples/images/western_fake_2.JPG
new file mode 100644
index 0000000..5890a99
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diff --git a/client/public/samples/videos/western_fake.mp4 b/client/public/samples/videos/western_fake.mp4
new file mode 100644
index 0000000..9b6acc0
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diff --git a/client/public/samples/videos/western_real.mp4 b/client/public/samples/videos/western_real.mp4
new file mode 100644
index 0000000..05de891
Binary files /dev/null and b/client/public/samples/videos/western_real.mp4 differ
diff --git a/client/src/App.css b/client/src/App.css
new file mode 100644
index 0000000..74b5e05
--- /dev/null
+++ b/client/src/App.css
@@ -0,0 +1,38 @@
+.App {
+ text-align: center;
+}
+
+.App-logo {
+ height: 40vmin;
+ pointer-events: none;
+}
+
+@media (prefers-reduced-motion: no-preference) {
+ .App-logo {
+ animation: App-logo-spin infinite 20s linear;
+ }
+}
+
+.App-header {
+ background-color: #282c34;
+ min-height: 100vh;
+ display: flex;
+ flex-direction: column;
+ align-items: center;
+ justify-content: center;
+ font-size: calc(10px + 2vmin);
+ color: white;
+}
+
+.App-link {
+ color: #61dafb;
+}
+
+@keyframes App-logo-spin {
+ from {
+ transform: rotate(0deg);
+ }
+ to {
+ transform: rotate(360deg);
+ }
+}
diff --git a/client/src/App.js b/client/src/App.js
new file mode 100644
index 0000000..bb727dc
--- /dev/null
+++ b/client/src/App.js
@@ -0,0 +1,72 @@
+import React, { useState, useEffect } from 'react';
+import { BrowserRouter as Router, Routes, Route, Navigate } from 'react-router-dom';
+import axios from 'axios';
+
+import MainPage from './pages/mainpage';
+import LoginPage from './pages/loginpage';
+import RegisterPage from './pages/signuppage';
+import AnalysisPage from './pages/analysispage';
+import AnalysisDetailPage from './pages/AnalysisDetailPage';
+import VideoAnalysisPage from './pages/VideoAnalysisPage';
+import VideoTimelinePage from './pages/VideoTimelinePage';
+import HeatmapPage from './pages/HeatmapPage';
+import ImageHeatmapPage from './pages/ImageHeatmapPage';
+
+
+
+function App() {
+ const [sessionUser, setSessionUser] = useState(null);
+ const [loading, setLoading] = useState(true);
+
+ useEffect(() => {
+ const checkSession = async () => {
+ try {
+ const response = await axios.get('/auth/check');
+ if (response.data && response.data.user) {
+ setSessionUser(response.data.user);
+ }
+ } catch (error) {
+ setSessionUser(null);
+ } finally {
+ setLoading(false);
+ }
+ };
+ checkSession();
+ }, []);
+
+ const handleLogout = () => {
+ setSessionUser(null);
+ };
+
+ if (loading) return
;
+
+ return (
+
+
+ } />
+
+ } />
+
+ } />
+
+ } />
+
+ } />
+
+ } />
+
+ } />
+
+ } />
+
+ } />
+
+ } />
+ } />
+ } />
+
+
+ );
+}
+
+export default App;
\ No newline at end of file
diff --git a/client/src/App.test.js b/client/src/App.test.js
new file mode 100644
index 0000000..1f03afe
--- /dev/null
+++ b/client/src/App.test.js
@@ -0,0 +1,8 @@
+import { render, screen } from '@testing-library/react';
+import App from './App';
+
+test('renders learn react link', () => {
+ render( );
+ const linkElement = screen.getByText(/learn react/i);
+ expect(linkElement).toBeInTheDocument();
+});
diff --git a/client/src/assets/Ellipse638.svg b/client/src/assets/Ellipse638.svg
new file mode 100644
index 0000000..8b16901
--- /dev/null
+++ b/client/src/assets/Ellipse638.svg
@@ -0,0 +1,9 @@
+
+
+
+
+
+
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+
diff --git a/client/src/assets/MedicalIcons.svg b/client/src/assets/MedicalIcons.svg
new file mode 100644
index 0000000..f11a0ab
--- /dev/null
+++ b/client/src/assets/MedicalIcons.svg
@@ -0,0 +1,110 @@
+
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diff --git a/client/src/assets/circle.svg b/client/src/assets/circle.svg
new file mode 100644
index 0000000..387b4a6
--- /dev/null
+++ b/client/src/assets/circle.svg
@@ -0,0 +1,370 @@
+
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diff --git a/client/src/assets/line.svg b/client/src/assets/line.svg
new file mode 100644
index 0000000..f8cb2d0
--- /dev/null
+++ b/client/src/assets/line.svg
@@ -0,0 +1,32 @@
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diff --git a/client/src/assets/logo.svg b/client/src/assets/logo.svg
new file mode 100644
index 0000000..a5bafae
--- /dev/null
+++ b/client/src/assets/logo.svg
@@ -0,0 +1,5 @@
+
+
+
+
+
diff --git a/client/src/index.css b/client/src/index.css
new file mode 100644
index 0000000..ec2585e
--- /dev/null
+++ b/client/src/index.css
@@ -0,0 +1,13 @@
+body {
+ margin: 0;
+ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen',
+ 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue',
+ sans-serif;
+ -webkit-font-smoothing: antialiased;
+ -moz-osx-font-smoothing: grayscale;
+}
+
+code {
+ font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New',
+ monospace;
+}
diff --git a/client/src/index.js b/client/src/index.js
new file mode 100644
index 0000000..58fd27e
--- /dev/null
+++ b/client/src/index.js
@@ -0,0 +1,21 @@
+import React from 'react';
+import ReactDOM from 'react-dom/client';
+import './index.css';
+import App from './App';
+import reportWebVitals from './reportWebVitals';
+import axios from 'axios';
+
+axios.defaults.withCredentials = true;
+axios.defaults.baseURL = '/api';
+axios.defaults.headers.common['ngrok-skip-browser-warning'] = 'true';
+const root = ReactDOM.createRoot(document.getElementById('root'));
+root.render(
+
+
+
+);
+
+// If you want to start measuring performance in your app, pass a function
+// to log results (for example: reportWebVitals(console.log))
+// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
+reportWebVitals();
diff --git a/client/src/logo.svg b/client/src/logo.svg
new file mode 100644
index 0000000..9dfc1c0
--- /dev/null
+++ b/client/src/logo.svg
@@ -0,0 +1 @@
+
\ No newline at end of file
diff --git a/client/src/pages/AnalysisDetailPage.js b/client/src/pages/AnalysisDetailPage.js
new file mode 100644
index 0000000..cbc7546
--- /dev/null
+++ b/client/src/pages/AnalysisDetailPage.js
@@ -0,0 +1,234 @@
+import React, { useState, useEffect } from 'react';
+import { useLocation, useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+
+const AnalysisDetailPage = ({ sessionUser }) => {
+ const { state } = useLocation();
+ const navigate = useNavigate();
+
+ const [data, setData] = useState(null);
+ const [loading, setLoading] = useState(true);
+
+ useEffect(() => {
+ const fetchDetail = async () => {
+ const imageId = state?.image_id;
+ const videoId = state?.video_id;
+
+ if (!imageId && !videoId) { setLoading(false); return; }
+
+ try {
+ if (imageId) {
+ const res = await axios.get(`/image/history/${imageId}`);
+ setData(res.data.context);
+ } else {
+ const res = await axios.get(`/video/history/${videoId}`);
+ setData(res.data.context);
+ }
+ } catch (e) {
+ console.error("상세 조회 실패", e);
+ } finally {
+ setLoading(false);
+ }
+ };
+ fetchDetail();
+ }, [state]);
+
+ if (loading) {
+ return (
+
+ );
+ }
+
+ if (!data) {
+ return (
+
+
분석 데이터를 찾을 수 없거나 비정상적인 접근입니다.
+
navigate(-1)} style={{ padding: '10px 20px', backgroundColor: '#1A2C50', color: '#39FF14', border: 'none', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold' }}>돌아가기
+
+ );
+ }
+
+ const prob = data.prob ?? data.score ?? data.analysis?.prob ?? data.result_prob ?? -1;
+ const face_conf = data.face_conf ?? data.face_confidence ?? data.conf ?? data.analysis?.face_conf ?? 0;
+ const face_ratio = data.face_ratio ?? data.ratio ?? data.analysis?.face_ratio ?? 0;
+ const face_brightness = data.face_brightness ?? data.brightness ?? data.analysis?.face_brightness ?? 0;
+
+ let label = 'UNKNOWN';
+ if (data.label && data.label !== 'UNKNOWN') {
+ label = data.label.toUpperCase();
+ } else if (prob !== -1) {
+ label = prob > 0.5 ? 'FAKE' : 'REAL';
+ }
+
+ const isInvalid = prob === -1;
+ const displayProb = isInvalid ? 'N/A' : (Number(prob) * 100).toFixed(1) + '%';
+
+ const brightnessColor = face_brightness < 20 ? '#FF4B4B' : '#39FF14';
+ const ratioColor = face_ratio >= 3 ? '#39FF14' : '#FF4B4B';
+
+ const mediaLoc = data.video_loc || data.media_loc || data.image_loc || '';
+ const mediaSrc = mediaLoc.startsWith('blob') ? mediaLoc : mediaLoc;
+ const isVideo = !!data.video_loc || (data.score !== undefined && !data.image_loc) || window.location.pathname.includes('video');
+
+ const isWarning = data.status?.toUpperCase() === 'WARNING';
+
+ const handleImageHeatmap = () => {
+ if (!sessionUser) {
+ alert("로그인이 필요한 기능이에요.");
+ return;
+ }
+
+ navigate('/image-heatmap', {
+ state: {
+ image_id: data.image_id,
+ image_loc: data.image_loc,
+ model_type: data.model_type || 'fast',
+ prob,
+ label,
+ },
+ });
+ };
+
+ const handleVideoHeatmap = () => {
+ if (!sessionUser) {
+ alert("로그인이 필요한 기능이에요.");
+ return;
+ }
+ navigate('/video-timeline', {
+ state: {
+ ...data
+ }
+ });
+ };
+
+
+ return (
+
+
+ {/* 상단 네비게이션 헤더 바 */}
+
+
+ navigate(-1)} style={{ color: '#888', background: 'none', border: 'none', cursor: 'pointer', fontSize: '16px', display: 'flex', alignItems: 'center', gap: '8px', marginRight: '20px' }}>
+ ← 뒤로가기
+
+ {data.version_type?.toUpperCase() || 'V1'}
+ {data.domain_type || '서양인'}
+ {data.model_type?.toUpperCase() || 'FAST'}
+
+
+
+ {/* 2분할 메인 그리드 레이아웃 */}
+
+
+ {/* 왼쪽 섹션: 미디어 플레이어 전용 배치 존 */}
+
+
+ {isVideo && mediaLoc ? (
+
+ ) : mediaLoc ? (
+
{ e.target.src = 'https://via.placeholder.com/600x400?text=No+Image'; }} />
+ ) : (
+
미디어가 존재하지 않습니다.
+ )}
+
+
+ {isVideo && mediaLoc && (
+
{ e.target.style.backgroundColor = 'rgba(57, 255, 20, 0.06)'; e.target.style.borderColor = '#39FF14'; e.target.style.boxShadow = '0 0 15px rgba(57, 255, 20, 0.15)'; }}
+ onMouseLeave={(e) => { e.target.style.backgroundColor = 'transparent'; e.target.style.borderColor = 'rgba(57, 255, 20, 0.4)'; e.target.style.boxShadow = '0 2px 8px rgba(57, 255, 20, 0.05)'; }}
+ >
+ 비디오 위조 흔적 분석하기
+
+ )}
+
+ {!isVideo && mediaLoc && !isWarning && (
+
{ e.target.style.backgroundColor = 'rgba(57, 255, 20, 0.06)'; e.target.style.borderColor = '#39FF14'; e.target.style.boxShadow = '0 0 15px rgba(57, 255, 20, 0.15)'; }}
+ onMouseLeave={(e) => { e.target.style.backgroundColor = 'transparent'; e.target.style.borderColor = 'rgba(57, 255, 20, 0.4)'; e.target.style.boxShadow = '0 2px 8px rgba(57, 255, 20, 0.05)'; }}
+ >
+ 이미지 위조 흔적 분석하기
+
+ )}
+
+
+ {/* 오른쪽 섹션: 스코어 보드 or WARNING 메시지 */}
+
+
+ {isWarning ? (
+ // WARNING일 때 — 경고 메시지만, 꽉 채움
+
+
분석을 완료하지 못했어요
+
+ {data.result_msg}
+
+
+ ) : (
+ <>
+ {/* 종합 리포트 판정 카드 — flex:1로 남은 공간 채움 */}
+
+
FINAL ANALYSIS
+
+ {label}
+
+
+
FAKE 확률
+
{displayProb}
+
+
+ {/* 보조 메트릭 — 작게 고정 높이 */}
+
+
DETAIL METRICS
+
+
+ {/* BRIGHTNESS */}
+
+
+ 얼굴 밝기
+ {Number(face_brightness).toFixed(1)}%
+
+
+
+
+ {/* FACE RATIO */}
+
+
+ 얼굴 비율
+ {Number(face_ratio).toFixed(1)}%
+
+
+
+
+ {/* MODEL CONFIDENCE */}
+
+ 모델 신뢰도
+ {Number(face_conf).toFixed(1)}%
+
+
+
+
+
+ >
+ )}
+
+
+
+
+ );
+};
+
+export default AnalysisDetailPage;
\ No newline at end of file
diff --git a/client/src/pages/HeatmapPage.js b/client/src/pages/HeatmapPage.js
new file mode 100644
index 0000000..33b87a8
--- /dev/null
+++ b/client/src/pages/HeatmapPage.js
@@ -0,0 +1,306 @@
+import React, { useState, useEffect, useRef } from 'react';
+import { useLocation, useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+
+const POLL_INTERVAL = 2000;
+
+const BRANCH_OPTIONS = {
+ low: { branch_level: 'low', explainer_type: 'layercam', display_type: 'heatmap_bbox', overlay_ratio: 0.7, threshold: 0.9 },
+ high: { branch_level: 'high', explainer_type: 'eigengradcam', display_type: 'heatmap_bbox', overlay_ratio: 0.7, threshold: 0.9 },
+};
+const MODEL_OPTIONS = ['fast', 'pro'];
+
+const extractTaskId = (data) => {
+ if (typeof data === 'string') return data;
+ return data?.task_id || data?.id || null;
+};
+const toAbsoluteUrl = (path) => {
+ if (!path) return null;
+ if (path.startsWith('http') || path.startsWith('blob')) return path;
+ return path;
+};
+
+const HeatmapPage = ({ sessionUser }) => {
+ const { state } = useLocation();
+ const navigate = useNavigate();
+ const { video_id, frame_index, timestamp, fake_score, model_type, video_name } = state || {};
+
+ const [tempBranch, setTempBranch] = useState('low');
+ const [tempModel, setTempModel] = useState(model_type || 'fast');
+ const [selectedBranch, setSelectedBranch] = useState(null);
+ const [selectedModel, setSelectedModel] = useState(null);
+ const [status, setStatus] = useState('idle');
+ const [heatmapSrc, setHeatmapSrc] = useState(null);
+ const [, setTaskId] = useState(null);
+ const [errorMsg, setErrorMsg] = useState('');
+ const [errorDetail, setErrorDetail] = useState('');
+ const [elapsed, setElapsed] = useState(0);
+
+ const pollingRef = useRef(null);
+ const timerRef = useRef(null);
+ const isMounted = useRef(true);
+
+ useEffect(() => {
+ isMounted.current = true;
+ return () => { isMounted.current = false; stopPolling(); clearInterval(timerRef.current); };
+ }, []);
+
+ const stopPolling = () => {
+ if (pollingRef.current) { clearInterval(pollingRef.current); pollingRef.current = null; }
+ };
+
+ const handleBranchSelect = (branch, m) => {
+ setSelectedBranch(branch);
+ setSelectedModel(m);
+ setTempBranch(branch);
+ setTempModel(m);
+ requestHeatmap(branch, m);
+ };
+
+ const requestHeatmap = async (branch, m) => {
+ if (video_id == null) { setErrorMsg('video_id가 없습니다.'); setStatus('error'); return; }
+ stopPolling();
+ clearInterval(timerRef.current);
+ setElapsed(0);
+ setStatus('submitting');
+ setHeatmapSrc(null);
+ setErrorMsg('');
+ setErrorDetail('');
+ setTaskId(null);
+
+ const body = { model_type: m, ...BRANCH_OPTIONS[branch] };
+
+ try {
+ const res = await axios.post(`/explain/video/${video_id}/frame/${frame_index ?? 0}`, body);
+ const tid = extractTaskId(res.data);
+ if (!tid) throw new Error(`task_id 추출 실패. 응답: ${JSON.stringify(res.data)}`);
+ setTaskId(tid);
+ setStatus('polling');
+ timerRef.current = setInterval(() => setElapsed(p => p + 1), 1000);
+ startPolling(tid);
+ } catch (e) {
+ if (!isMounted.current) return;
+ const detail = e.response?.data?.detail;
+ let msg;
+ if (Array.isArray(detail)) msg = detail.map(d => `[${d.loc?.join('.')}] ${d.msg} (입력값: ${JSON.stringify(d.input)})`).join(' / ');
+ else if (typeof detail === 'string') msg = detail;
+ else if (e.response?.data) msg = JSON.stringify(e.response.data);
+ else msg = e.message || '요청 실패';
+ setErrorMsg(`히트맵 생성 요청 실패 (${e.response?.status ?? ''})`);
+ setErrorDetail(msg);
+ setStatus('error');
+ }
+ };
+
+ const startPolling = (tid) => {
+ let cnt = 0;
+ pollingRef.current = setInterval(async () => {
+ if (!isMounted.current) return;
+ try {
+ const res = await axios.get(`/explain/frame/result/${tid}`);
+ cnt = 0;
+ const d = res.data;
+ if (d === null || d === undefined) return;
+ let loc = null;
+ if (typeof d === 'string' && d.trim()) {
+ const isUUID = /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(d.trim());
+ if (!isUUID) loc = d.trim();
+ } else if (typeof d === 'object') {
+ loc = d.cam_loc ?? d.result_loc ?? d.image_loc ?? d.heatmap_loc ?? d.file_loc ?? d.result_path ?? d.path ?? d.url ?? d.output_path ?? null;
+ if (!loc) {
+ const st = (d.status || '').toUpperCase();
+ if (st === 'FAILED' || st === 'ERROR') { stopPolling(); clearInterval(timerRef.current); setErrorMsg('히트맵 생성 실패'); setErrorDetail(d.result_msg || d.message || '서버 오류'); setStatus('error'); return; }
+ return;
+ }
+ }
+ if (loc) { stopPolling(); clearInterval(timerRef.current); setHeatmapSrc(toAbsoluteUrl(loc)); setStatus('done'); }
+ } catch (e) {
+ cnt++;
+ if (cnt >= 5) { stopPolling(); clearInterval(timerRef.current); setErrorMsg('서버 연결 실패'); setErrorDetail(e.message); setStatus('error'); }
+ }
+ }, POLL_INTERVAL);
+ };
+
+ const isFake = (fake_score ?? 0) > 50;
+ const isProcessing = status === 'submitting' || status === 'polling';
+
+ if (!state) return (
+
+
전송된 프레임 데이터가 없습니다.
+
navigate(-1)} style={{ marginLeft: '15px', padding: '8px 16px', backgroundColor: '#1A2C50', color: '#39FF14', border: 'none', borderRadius: '6px', cursor: 'pointer' }}>뒤로가기
+
+ );
+
+ return (
+
+
+
+
+
+
+
+ {/* 헤더 */}
+
+
+ {/* 스탯 바 */}
+
+ {[
+ { label: 'VIDEO', value: video_name || `ID_${video_id}`, color: '#fff' },
+ { label: 'TIMESTAMP', value: timestamp || `#${frame_index}`, color: '#39FF14', big: true },
+ { label: 'FRAME INDEX', value: `#${frame_index ?? 0}`, color: '#fff' },
+ { label: 'FORGERY RISK', value: `${Number(fake_score ?? 0).toFixed(1)}%`, color: isFake ? '#FF4B4B' : '#39FF14', big: true },
+ { label: 'VERDICT', value: isFake ? 'FAKE' : 'REAL', color: isFake ? '#FF4B4B' : '#39FF14', big: true },
+ ].map((item, i) => (
+
+
+
{item.label}
+
{item.value}
+
+ ))}
+
+
+ {/* 히트맵 패널 */}
+
+ {isProcessing &&
}
+
+
+
+
+
HEATMAP + BBOX OVERLAY
+ {selectedBranch &&
{selectedBranch.toUpperCase()} / {(selectedModel || '').toUpperCase()} }
+
+
+ {isProcessing &&
{elapsed}s }
+ {status === 'done' && heatmapSrc && (
+
+ ↓ SAVE
+
+ )}
+
+
+
+
+
+ {/* 옵션 선택 */}
+ {(status === 'idle' || status === 'error') && !isProcessing && (
+
+ {status === 'error' && (
+
+
⚠
+
{errorMsg}
+ {errorDetail &&
{errorDetail}
}
+
+ )}
+
+ {/* Branch */}
+
BRANCH LEVEL
+
+ {Object.keys(BRANCH_OPTIONS).map(branch => (
+ setTempBranch(branch)}
+ style={{ padding: '12px 36px', backgroundColor: tempBranch === branch ? 'rgba(57,255,20,0.08)' : 'transparent', border: `1px solid ${tempBranch === branch ? '#39FF14' : '#333'}`, borderRadius: '8px', color: tempBranch === branch ? '#39FF14' : '#999', fontSize: '13px', fontWeight: 'bold', letterSpacing: '1px', cursor: 'pointer', transition: 'all 0.15s', textTransform: 'uppercase' }}>
+ {branch}
+
+ {branch === 'low' ? '국소 흔적' : '전역 구조'}
+
+
+ ))}
+
+
+ {/* Model */}
+
MODEL TYPE
+
+ {MODEL_OPTIONS.map(m => (
+ setTempModel(m)}
+ style={{ padding: '12px 36px', backgroundColor: tempModel === m ? 'rgba(57,255,20,0.08)' : 'transparent', border: `1px solid ${tempModel === m ? '#39FF14' : '#333'}`, borderRadius: '8px', color: tempModel === m ? '#39FF14' : '#999', fontSize: '13px', fontWeight: 'bold', letterSpacing: '1px', cursor: 'pointer', transition: 'all 0.15s', textTransform: 'uppercase' }}>
+ {m}
+
+ ))}
+
+
+
handleBranchSelect(tempBranch, tempModel)}
+ style={{ padding: '14px 56px', backgroundColor: '#1A2C50', border: '1px solid #2A4C80', borderRadius: '10px', color: '#fff', fontSize: '14px', fontWeight: 'bold', letterSpacing: '2px', cursor: 'pointer', transition: 'all 0.2s' }}
+ onMouseEnter={e => { e.currentTarget.style.backgroundColor = '#243870'; }}
+ onMouseLeave={e => { e.currentTarget.style.backgroundColor = '#1A2C50'; }}>
+ GENERATE
+
+
+ )}
+
+ {/* 로딩 */}
+ {isProcessing && (
+
+
+
GENERATING HEATMAP
+
프레임 위조 흔적 시각화 처리 중...
+
{(selectedBranch || tempBranch || '').toUpperCase()} BRANCH · {(selectedModel || tempModel || '').toUpperCase()} MODEL
+
{elapsed}s elapsed
+
+ )}
+
+ {/* 결과 */}
+ {status === 'done' && heatmapSrc && (
+
+
+
+ ✓ {(selectedBranch || '').toUpperCase()} / {(selectedModel || '').toUpperCase()}
+
+
{ e.target.style.display = 'none'; setErrorMsg('이미지 로드 실패'); setErrorDetail(`URL: ${heatmapSrc}`); setStatus('error'); }}
+ />
+
+ {/* 재선택 */}
+
+ {Object.keys(BRANCH_OPTIONS).flatMap(branch => MODEL_OPTIONS.map(m => ({ branch, m }))).map(({ branch, m }) => (
+ handleBranchSelect(branch, m)}
+ style={{ padding: '6px 14px', backgroundColor: (selectedBranch === branch && selectedModel === m) ? 'rgba(57,255,20,0.1)' : 'transparent', border: `1px solid ${(selectedBranch === branch && selectedModel === m) ? '#39FF14' : '#2A2A2A'}`, borderRadius: '6px', color: (selectedBranch === branch && selectedModel === m) ? '#39FF14' : '#999', fontSize: '10px', fontWeight: 'bold', cursor: 'pointer', letterSpacing: '1px', transition: 'all 0.15s' }}>
+ {branch.toUpperCase()} / {m.toUpperCase()}
+
+ ))}
+
+
+ )}
+
+ {status === 'done' && !heatmapSrc && (
+
+
결과 이미지를 받지 못했습니다.
+
requestHeatmap(selectedBranch, selectedModel)} style={{ padding: '10px 24px', backgroundColor: 'transparent', color: '#39FF14', border: '1px solid rgba(57,255,20,0.4)', borderRadius: '8px', cursor: 'pointer', fontSize: '13px', fontWeight: 'bold' }}>재시도
+
+ )}
+
+
+
+
+
+
+ );
+};
+
+export default HeatmapPage;
\ No newline at end of file
diff --git a/client/src/pages/ImageHeatmapPage.js b/client/src/pages/ImageHeatmapPage.js
new file mode 100644
index 0000000..41f1231
--- /dev/null
+++ b/client/src/pages/ImageHeatmapPage.js
@@ -0,0 +1,323 @@
+import React, { useState, useEffect, useRef } from 'react';
+import { useLocation, useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+const POLL_INTERVAL = 2000;
+
+const BRANCH_OPTIONS = {
+ low: { branch_level: 'low', explainer_type: 'layercam', display_type: 'heatmap_bbox', overlay_ratio: 0.7, threshold: 0.9 },
+ high: { branch_level: 'high', explainer_type: 'eigengradcam', display_type: 'heatmap_bbox', overlay_ratio: 0.7, threshold: 0.9 },
+};
+const MODEL_OPTIONS = ['fast', 'pro'];
+
+const extractTaskId = (data) => {
+ if (typeof data === 'string') return data;
+ return data?.task_id || data?.id || null;
+};
+const toAbsoluteUrl = (path) => {
+ if (!path) return null;
+ if (path.startsWith('http') || path.startsWith('blob')) return path;
+ return path;
+};
+
+const ImageHeatmapPage = ({ sessionUser }) => {
+ const { state } = useLocation();
+ const navigate = useNavigate();
+ const { image_id, image_loc, model_type, prob, label } = state || {};
+
+ const [tempBranch, setTempBranch] = useState('low');
+ const [tempModel, setTempModel] = useState(model_type || 'fast');
+ const [selectedBranch, setSelectedBranch] = useState(null);
+ const [selectedModel, setSelectedModel] = useState(null);
+ const [status, setStatus] = useState('idle');
+ const [heatmapSrc, setHeatmapSrc] = useState(null);
+ const [, setTaskId] = useState(null);
+ const [errorMsg, setErrorMsg] = useState('');
+ const [errorDetail, setErrorDetail] = useState('');
+ const [elapsed, setElapsed] = useState(0);
+
+ const pollingRef = useRef(null);
+ const timerRef = useRef(null);
+ const isMounted = useRef(true);
+
+ useEffect(() => {
+ isMounted.current = true;
+ return () => { isMounted.current = false; stopPolling(); clearInterval(timerRef.current); };
+ }, []);
+
+ const stopPolling = () => {
+ if (pollingRef.current) { clearInterval(pollingRef.current); pollingRef.current = null; }
+ };
+
+ const handleBranchSelect = (branch, m) => {
+ setSelectedBranch(branch);
+ setSelectedModel(m);
+ setTempBranch(branch);
+ setTempModel(m);
+ requestHeatmap(branch, m);
+ };
+
+ const requestHeatmap = async (branch, m) => {
+ if (image_id == null) { setErrorMsg('image_id가 없습니다.'); setStatus('error'); return; }
+ stopPolling();
+ clearInterval(timerRef.current);
+ setElapsed(0);
+ setStatus('submitting');
+ setHeatmapSrc(null);
+ setErrorMsg('');
+ setErrorDetail('');
+ setTaskId(null);
+
+ const body = { model_type: m, ...BRANCH_OPTIONS[branch] };
+
+ try {
+ const res = await axios.post(`/explain/image/${image_id}`, body);
+ const tid = extractTaskId(res.data);
+ if (!tid) throw new Error(`task_id 추출 실패. 응답: ${JSON.stringify(res.data)}`);
+ setTaskId(tid);
+ setStatus('polling');
+ timerRef.current = setInterval(() => setElapsed(p => p + 1), 1000);
+ startPolling(tid);
+ } catch (e) {
+ if (!isMounted.current) return;
+ const detail = e.response?.data?.detail;
+ let msg;
+ if (Array.isArray(detail)) msg = detail.map(d => `[${d.loc?.join('.')}] ${d.msg} (입력값: ${JSON.stringify(d.input)})`).join(' / ');
+ else if (typeof detail === 'string') msg = detail;
+ else if (e.response?.data) msg = JSON.stringify(e.response.data);
+ else msg = e.message || '요청 실패';
+ setErrorMsg(`히트맵 생성 요청 실패 (${e.response?.status ?? ''})`);
+ setErrorDetail(msg);
+ setStatus('error');
+ }
+ };
+
+ const startPolling = (tid) => {
+ let cnt = 0;
+ pollingRef.current = setInterval(async () => {
+ if (!isMounted.current) return;
+ try {
+ const res = await axios.get(`/explain/image/result/${tid}`);
+ cnt = 0;
+ const d = res.data;
+ if (d === null || d === undefined) return;
+ let loc = null;
+ if (typeof d === 'string' && d.trim()) {
+ const isUUID = /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(d.trim());
+ if (!isUUID) loc = d.trim();
+ } else if (typeof d === 'object') {
+ loc = d.cam_loc ?? d.result_loc ?? d.image_loc ?? d.heatmap_loc ?? d.file_loc ?? d.result_path ?? d.path ?? d.url ?? d.output_path ?? null;
+ if (!loc) {
+ const st = (d.status || '').toUpperCase();
+ if (st === 'FAILED' || st === 'ERROR') { stopPolling(); clearInterval(timerRef.current); setErrorMsg('히트맵 생성 실패'); setErrorDetail(d.result_msg || d.message || '서버 오류'); setStatus('error'); return; }
+ return;
+ }
+ }
+ if (loc) { stopPolling(); clearInterval(timerRef.current); setHeatmapSrc(toAbsoluteUrl(loc)); setStatus('done'); }
+ } catch (e) {
+ cnt++;
+ if (cnt >= 5) { stopPolling(); clearInterval(timerRef.current); setErrorMsg('서버 연결 실패'); setErrorDetail(e.message); setStatus('error'); }
+ }
+ }, POLL_INTERVAL);
+ };
+
+ const isFake = (prob ?? 0) > 0.5;
+ const isProcessing = status === 'submitting' || status === 'polling';
+ const imageSrc = image_loc ? toAbsoluteUrl(image_loc) : null;
+
+ // 양쪽 패널 공통 미디어 스타일 — 표시 높이를 동일하게 고정해 좌우 대칭 유지
+ const mediaBoxStyle = { flex: 1, display: 'flex', justifyContent: 'center', alignItems: 'center', padding: '24px', minHeight: '440px' };
+ const mediaImgStyle = { maxWidth: '100%', height: '400px', borderRadius: '8px', objectFit: 'contain', boxShadow: '0 8px 32px rgba(0,0,0,0.6)' };
+
+ if (!state) return (
+
+
전송된 이미지 데이터가 없습니다.
+
navigate(-1)} style={{ marginLeft: '15px', padding: '8px 16px', backgroundColor: '#1A2C50', color: '#39FF14', border: 'none', borderRadius: '6px', cursor: 'pointer' }}>뒤로가기
+
+ );
+
+ return (
+
+
+
+
+
+
+
+ {/* 헤더 */}
+
+
+ {/* 스탯 바 */}
+
+ {[
+ { label: 'FAKE 확률', value: `${((prob ?? 0) * 100).toFixed(1)}%`, color: isFake ? '#FF4B4B' : '#39FF14', big: true },
+ { label: 'VERDICT', value: label || (isFake ? 'FAKE' : 'REAL'), color: isFake ? '#FF4B4B' : '#39FF14', big: true },
+ { label: 'MODEL', value: (selectedModel || model_type || 'fast').toUpperCase(), color: '#fff' },
+ ].map((item, i) => (
+
+
+
{item.label}
+
{item.value}
+
+ ))}
+
+
+ {/* 메인 2열 */}
+
+
+ {/* 원본 이미지 */}
+ {imageSrc && (
+
+
+
+
{ e.target.style.display = 'none'; }}
+ />
+
+
+ )}
+
+ {/* 히트맵 패널 */}
+
+ {isProcessing &&
}
+
+
+
+
+
HEATMAP + BBOX OVERLAY
+ {selectedBranch &&
{selectedBranch.toUpperCase()} / {(selectedModel || '').toUpperCase()} }
+
+
+ {isProcessing &&
{elapsed}s }
+ {status === 'done' && heatmapSrc && (
+
+ ↓ SAVE
+
+ )}
+
+
+
+
+
+ {/* 옵션 선택 */}
+ {(status === 'idle' || status === 'error') && !isProcessing && (
+
+ {status === 'error' && (
+
+
⚠
+
{errorMsg}
+ {errorDetail &&
{errorDetail}
}
+
+ )}
+
+ {/* Branch 선택 */}
+
BRANCH LEVEL
+
+ {Object.keys(BRANCH_OPTIONS).map(branch => (
+ setTempBranch(branch)}
+ style={{ padding: '12px 28px', backgroundColor: tempBranch === branch ? 'rgba(57,255,20,0.08)' : 'transparent', border: `1px solid ${tempBranch === branch ? '#39FF14' : '#333'}`, borderRadius: '8px', color: tempBranch === branch ? '#39FF14' : '#999', fontSize: '13px', fontWeight: 'bold', letterSpacing: '1px', cursor: 'pointer', transition: 'all 0.15s', textTransform: 'uppercase' }}>
+ {branch}
+
+ {branch === 'low' ? '국소 흔적' : '전역 구조'}
+
+
+ ))}
+
+
+ {/* Model 선택 */}
+
MODEL TYPE
+
+ {MODEL_OPTIONS.map(m => (
+ setTempModel(m)}
+ style={{ padding: '12px 28px', backgroundColor: tempModel === m ? 'rgba(57,255,20,0.08)' : 'transparent', border: `1px solid ${tempModel === m ? '#39FF14' : '#333'}`, borderRadius: '8px', color: tempModel === m ? '#39FF14' : '#999', fontSize: '13px', fontWeight: 'bold', letterSpacing: '1px', cursor: 'pointer', transition: 'all 0.15s', textTransform: 'uppercase' }}>
+ {m}
+
+ ))}
+
+
+ {/* 실행 버튼 */}
+
handleBranchSelect(tempBranch, tempModel)}
+ style={{ padding: '14px 52px', backgroundColor: '#1A2C50', border: '1px solid #2A4C80', borderRadius: '10px', color: '#fff', fontSize: '14px', fontWeight: 'bold', letterSpacing: '2px', cursor: 'pointer', transition: 'all 0.2s' }}
+ onMouseEnter={e => { e.currentTarget.style.backgroundColor = '#243870'; }}
+ onMouseLeave={e => { e.currentTarget.style.backgroundColor = '#1A2C50'; }}>
+ GENERATE
+
+
+ )}
+
+ {/* 로딩 */}
+ {isProcessing && (
+
+
+
GENERATING HEATMAP
+
위조 흔적 시각화 처리 중...
+
{(selectedBranch || tempBranch || '').toUpperCase()} BRANCH · {(selectedModel || tempModel || '').toUpperCase()} MODEL
+
{elapsed}s elapsed
+
+ )}
+
+ {/* 결과 */}
+ {status === 'done' && heatmapSrc && (
+
+
+
+ ✓ {(selectedBranch || '').toUpperCase()} / {(selectedModel || '').toUpperCase()}
+
+
{ e.target.style.display = 'none'; setErrorMsg('이미지 로드 실패'); setErrorDetail(`URL: ${heatmapSrc}`); setStatus('error'); }}
+ />
+
+ {/* 재선택 버튼 */}
+
+ {Object.keys(BRANCH_OPTIONS).flatMap(branch => MODEL_OPTIONS.map(m => ({ branch, m }))).map(({ branch, m }) => (
+ handleBranchSelect(branch, m)}
+ style={{ padding: '6px 14px', backgroundColor: (selectedBranch === branch && selectedModel === m) ? 'rgba(57,255,20,0.1)' : 'transparent', border: `1px solid ${(selectedBranch === branch && selectedModel === m) ? '#39FF14' : '#2A2A2A'}`, borderRadius: '6px', color: (selectedBranch === branch && selectedModel === m) ? '#39FF14' : '#999', fontSize: '10px', fontWeight: 'bold', cursor: 'pointer', letterSpacing: '1px', transition: 'all 0.15s' }}>
+ {branch.toUpperCase()} / {m.toUpperCase()}
+
+ ))}
+
+
+ )}
+
+ {status === 'done' && !heatmapSrc && (
+
+
결과 이미지를 받지 못했습니다.
+
requestHeatmap(selectedBranch, selectedModel)} style={{ padding: '10px 24px', backgroundColor: 'transparent', color: '#39FF14', border: '1px solid rgba(57,255,20,0.4)', borderRadius: '8px', cursor: 'pointer', fontSize: '13px', fontWeight: 'bold' }}>재시도
+
+ )}
+
+
+
+
+
+
+
+ );
+};
+
+export default ImageHeatmapPage;
\ No newline at end of file
diff --git a/client/src/pages/VideoAnalysisPage.js b/client/src/pages/VideoAnalysisPage.js
new file mode 100644
index 0000000..6b6634e
--- /dev/null
+++ b/client/src/pages/VideoAnalysisPage.js
@@ -0,0 +1,502 @@
+import React, { useState, useEffect, useCallback, useRef } from 'react';
+import { useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+// 예시 비디오 (public/samples/videos/ 하위에 실제 파일 배치 필요 / 파일명 다르면 이 배열만 수정)
+const SAMPLE_VIDEOS = [
+ { name: 'western_fake.mp4', src: '/samples/videos/western_fake.mp4', domain: 'western', label: '서양인 Fake' },
+ { name: 'western_real.mp4', src: '/samples/videos/western_real.mp4', domain: 'western', label: '서양인 Real' },
+];
+
+const VideoAnalysisPage = ({ sessionUser, onLogout, setSessionUser }) => {
+ const navigate = useNavigate();
+
+ const [file, setFile] = useState(null);
+ const [previewUrl, setPreviewUrl] = useState(null);
+ const [isAnalyzing, setIsAnalyzing] = useState(false);
+ const [history, setHistory] = useState([]);
+
+ const [showOptions, setShowOptions] = useState(false);
+ const [isEditMode, setIsEditMode] = useState(false);
+ const [selectedIds, setSelectedIds] = useState([]);
+ const [selectedSample, setSelectedSample] = useState(null);
+
+ const [versionType, setVersionType] = useState('v2');
+ const [modelType, setModelType] = useState('fast');
+ const [domainType, setDomainType] = useState('western');
+
+ const [result, setResult] = useState(null);
+ const [statusMessage, setStatusMessage] = useState('');
+
+ const [isSidebarOpen, setIsSidebarOpen] = useState(true);
+
+ const pollingTimer = useRef(null);
+ const isMounted = useRef(true);
+
+ const sideBarStyle = {
+ width: isSidebarOpen ? '280px' : '0',
+ backgroundColor: '#050505',
+ borderRight: isSidebarOpen ? '1px solid #222' : 'none',
+ display: 'flex',
+ flexDirection: 'column',
+ padding: isSidebarOpen ? '25px' : '0',
+ overflow: 'hidden',
+ flexShrink: 0,
+ transition: 'width 0.3s ease, padding 0.3s ease',
+ };
+ const centerZoneStyle = { flex: 1, padding: '40px', display: 'flex', flexDirection: 'column', gap: '20px', overflowY: 'auto', position: 'relative' };
+ const rightPanelStyle = { width: '340px', backgroundColor: '#0D0D0D', borderLeft: '1px solid #222', padding: '30px', display: 'flex', flexDirection: 'column' };
+ const innerBoxStyle = { flex: 1, border: '2px dashed #333', borderRadius: '20px', display: 'flex', flexDirection: 'column', justifyContent: 'center', alignItems: 'center', backgroundColor: '#0a0a0a', cursor: 'pointer', position: 'relative', transition: 'all 0.3s' };
+ const plusBtnStyle = { width: '60px', height: '60px', borderRadius: '50%', backgroundColor: '#1A2C50', display: 'flex', justifyContent: 'center', alignItems: 'center', fontSize: '30px', color: '#39FF14', marginBottom: '20px', boxShadow: '0 0 15px rgba(57, 255, 20, 0.2)' };
+
+ const fetchHistory = useCallback(async () => {
+ if (!sessionUser) return;
+ try {
+ const response = await axios.get('/video/history');
+ if (response.data.status === "success") {
+ setHistory(response.data.context || []);
+ }
+ } catch (e) { console.log("비디오 히스토리 로드 실패"); }
+ }, [sessionUser]);
+
+ useEffect(() => {
+ isMounted.current = true;
+ const syncSession = async () => {
+ if (!sessionUser) {
+ try {
+ const response = await axios.get('/auth/check');
+ if (response.data && response.data.user) setSessionUser(response.data.user);
+ } catch (error) { console.log("세션 확인 실패"); }
+ }
+ };
+ syncSession();
+ fetchHistory();
+
+ return () => {
+ isMounted.current = false;
+ if (pollingTimer.current) {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ }
+ };
+ }, [sessionUser, setSessionUser, fetchHistory]);
+
+ const startPolling = useCallback((videoId) => {
+ if (!videoId) return;
+ if (pollingTimer.current) clearInterval(pollingTimer.current);
+
+ pollingTimer.current = setInterval(async () => {
+ if (!isMounted.current) return;
+ try {
+ const response = await axios.get(`/inference/video/${videoId}`);
+ const data = response.data;
+ if (data.status === 'SUCCESS' || data.prob !== undefined || data.analysis !== undefined) {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ setResult({ ...data, video_id: videoId });
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ fetchHistory();
+ } else if (data.status === 'FAILED' || data.status === 'ERROR') {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ alert(data.result_msg || "비디오 분석 실패");
+ } else if (data.status === 'WARNING') {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ setResult({ ...data, status: 'WARNING' });
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ fetchHistory();
+ } else {
+ setStatusMessage(data.message || "비디오 분석 진행 중...");
+ }
+ } catch (err) { setStatusMessage("결과 확인 중..."); }
+ }, 2000);
+ }, [fetchHistory]);
+
+ const handlePredict = async () => {
+ if (modelType === 'pro' && !sessionUser) {
+ alert("PRO 모델 분석은 로그인이 필요합니다.");
+ navigate('/login');
+ return;
+ }
+ if (!file) return alert("동영상을 먼저 업로드해주세요.");
+
+ const formData = new FormData();
+ formData.append('videofile', file);
+ formData.append('model_type', modelType);
+ formData.append('domain_type', domainType === 'western' ? '서양인' : '동양인');
+ formData.append('version_type', versionType);
+
+ setIsAnalyzing(true);
+ setStatusMessage('서버 접수 중...');
+ setResult(null);
+
+ try {
+ const response = await axios.post('/inference/video', formData);
+ const videoId = response.data?.video_id || response.data;
+ if (videoId) startPolling(videoId);
+ else setIsAnalyzing(false);
+ } catch (err) {
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ }
+ };
+
+ const handleFileSelect = (selectedFile) => {
+ if (!selectedFile) return;
+ setFile(selectedFile);
+ if (previewUrl) URL.revokeObjectURL(previewUrl);
+ setPreviewUrl(URL.createObjectURL(selectedFile));
+ setResult(null);
+ setStatusMessage('');
+ setShowOptions(false);
+ setSelectedSample(null); // 샘플 외 경로로 들어오면 선택 해제
+ };
+
+ // 예시 비디오를 File로 변환 후 기존 업로드 흐름에 주입 + 도메인 자동 세팅
+ const handleSelectSample = async (sample) => {
+ try {
+ const res = await fetch(sample.src);
+ const blob = await res.blob();
+ const file = new File([blob], sample.name, { type: blob.type });
+ if (sample.domain === 'asian') setVersionType('v2'); // 동양인은 v2 전용
+ setDomainType(sample.domain);
+ handleFileSelect(file);
+ setSelectedSample(sample.name); // handleFileSelect 리셋 이후 선택 표시
+ } catch (e) {
+ alert("예시 파일을 불러오지 못했어요.");
+ }
+ };
+
+ const toggleSelect = (id) => {
+ setSelectedIds(prev => prev.includes(id) ? prev.filter(item => item !== id) : [...prev, id]);
+ };
+
+ const handleDeleteSelected = async () => {
+ if (selectedIds.length === 0) return;
+ if (!window.confirm(`${selectedIds.length}개의 기록을 완전히 삭제하시겠습니까?`)) return;
+
+ try {
+ const deletePromises = selectedIds.map(id =>
+ axios.delete(`/video/history/${id}`)
+ );
+ await Promise.all(deletePromises);
+ alert("선택한 비디오 기록이 삭제되었습니다.");
+ fetchHistory();
+ setSelectedIds([]);
+ setIsEditMode(false);
+ } catch (error) {
+ console.error(error);
+ alert("서버에서 기록을 삭제하는 중 오류가 발생했습니다.");
+ }
+ };
+
+ const handleLogoutClick = async () => {
+ if (!window.confirm("로그아웃 하시겠습니까?")) return;
+ try {
+ await axios.get('/auth/logout');
+ onLogout();
+ navigate('/video-analysis');
+ } catch (error) { alert("로그아웃 실패"); }
+ };
+
+ return (
+
+
+
+
+
{ setFile(null); setPreviewUrl(null); setResult(null); setStatusMessage(''); setShowOptions(false); setSelectedSample(null); if (pollingTimer.current) clearInterval(pollingTimer.current); }} style={{ backgroundColor: '#1A2C50', color: 'white', padding: '14px', borderRadius: '10px', border: 'none', marginBottom: '35px', cursor: 'pointer', fontWeight: 'bold' }}>+ 새 영상 분석
+
+
+
내 비디오 기록
+
+ {sessionUser && history.length > 0 && (
+
{ setIsEditMode(!isEditMode); setSelectedIds([]); }} style={{ background: 'none', border: 'none', color: '#39FF14', cursor: 'pointer', fontSize: '12px' }}>
+ {isEditMode ? '취소' : '편집'}
+
+ )}
+
setIsSidebarOpen(false)} style={{ background: 'none', border: 'none', color: '#666', cursor: 'pointer', display: 'flex', padding: 0 }} aria-label="사이드바 접기">
+
+
+
+
+
+
+ {sessionUser ? (
+ history.map((item, index) => {
+ const currentId = item.video_id || item.id;
+ const isSelected = selectedIds.includes(currentId);
+ const vType = item.version_type ? item.version_type.toUpperCase() : 'V2';
+ const dType = item.domain_type || '서양인';
+ const mType = item.model_type ? item.model_type.toUpperCase() : 'FAST';
+
+ return (
+
+ {isEditMode &&
toggleSelect(currentId)} style={{ accentColor: '#39FF14', width: '18px', height: '18px' }} />}
+
!isEditMode && navigate('/video-detail', {
+ state: { video_id: currentId }
+ })}
+ style={{ flex: 1, display: 'flex', alignItems: 'center', gap: '15px', padding: '12px', backgroundColor: '#111', borderRadius: '12px', border: isSelected ? '1px solid #39FF14' : '1px solid #222', cursor: isEditMode ? 'default' : 'pointer' }}
+ >
+
+ {item.video_loc ? (
+
+ ) : '📹'}
+
+
+
{vType} | {dType} | {mType}
+
+ {item.created_at?.slice(0, 10)}
+ {item.created_at?.slice(11, 16)}
+
+
{item.label}
+
+
+
+ );
+ })
+ ) :
로그인 필요
}
+
+
+ {isEditMode && (
+
0 ? '#FF4B4B' : '#222', color: '#fff', border: 'none', borderRadius: '8px', cursor: selectedIds.length > 0 ? 'pointer' : 'not-allowed', marginTop: '10px', fontWeight: 'bold' }}
+ >
+ 선택 삭제 ({selectedIds.length})
+
+ )}
+
+
+
navigate('/main')} style={{ width: '100%', padding: '12px', backgroundColor: 'transparent', color: '#fff', border: '1px solid #444', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold', marginBottom: '15px' }}>메인 화면
+ {sessionUser ? (
+
+
{sessionUser.name}님 접속 중
+
로그아웃
+
+ ) :
navigate('/login')} style={{ width: '100%', padding: '12px', backgroundColor: '#1A2C50', color: 'white', border: 'none', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold' }}>로그인 }
+
+
+
+
+
+ {!isSidebarOpen && (
+ setIsSidebarOpen(true)}
+ style={{ position: 'absolute', top: '20px', left: '20px', zIndex: 10, background: '#111', border: '1px solid #333', borderRadius: '8px', color: '#39FF14', cursor: 'pointer', padding: '8px', display: 'flex' }}
+ aria-label="사이드바 열기"
+ >
+
+
+ )}
+ Deep Guard AI
+
+ {/* 예시 비디오 — 로컬 샘플 없이 바로 테스트 */}
+
+ {SAMPLE_VIDEOS.map((s) => {
+ const isFake = s.label.includes('Fake');
+ const tagColor = isFake ? '#FF4B4B' : '#39FF14';
+ const isSelected = selectedSample === s.name;
+ return (
+
handleSelectSample(s)} title={s.label}
+ style={{
+ position: 'relative', flexShrink: 0, width: '100px', height: '74px',
+ borderRadius: '12px', overflow: 'hidden', cursor: 'pointer',
+ border: isSelected ? '2px solid #39FF14' : '1px solid #2a2a2a',
+ boxShadow: isSelected ? '0 0 0 1px #39FF14, 0 6px 18px rgba(57,255,20,0.4)' : 'none'
+ }}>
+
+ {/* 우상단 FAKE/REAL 뱃지 */}
+
+ {isFake ? 'FAKE' : 'REAL'}
+
+ {/* 하단 그라데이션 + 도메인 */}
+
+ {s.label.split(' ')[0]}
+
+
+ );
+ })}
+
+
+
+
{ if(!previewUrl) setShowOptions(!showOptions); }}>
+ {previewUrl ?
: (
+
+
+
+
Video Upload
+
동영상을 업로드하세요
+ {showOptions && (
+
+ { e.stopPropagation(); document.getElementById('vIn').click(); }} style={{ padding: '10px 18px', backgroundColor: '#222', color: '#39FF14', border: '1px solid #39FF14', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold' }}>내 PC 파일
+ {/* { e.stopPropagation(); alert("준비 중입니다."); setShowOptions(false); }} style={{ padding: '10px 18px', backgroundColor: '#222', color: '#fff', border: '1px solid #444', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold' }}>Cloud Drive */}
+
+ )}
+
+ )}
+
handleFileSelect(e.target.files[0])} />
+
+
+
+ {isAnalyzing ? (
+
+
+
+
+
VIDEO CORE ENGINE
+
SCANNING FRAMES...
+
+
+
+ {statusMessage || "PROCESSING..."}
+ LIVE
+
+
+
+
+ ) : result ? (
+ result.status === 'WARNING' ? (
+
+
+
+
+
+
+
분석을 완료하지 못했어요
+
+ {result.result_msg}
+
+
+ ) : (() => {
+ const label = result.label || (result.score > 0.5 ? 'FAKE' : 'REAL');
+ const color = label === 'FAKE' ? '#FF4B4B' : '#39FF14';
+ return (
+
+
{label}
+
navigate('/video-detail', { state: { video_id: result.video_id } })}
+ style={{
+ marginTop: '80px',
+ color,
+ background: 'none',
+ border: 'none',
+ padding: 0,
+ fontWeight: 'bold',
+ fontSize: '14px',
+ textDecoration: 'underline',
+ textUnderlineOffset: '3px',
+ cursor: 'pointer'
+ }}
+ >
+ 상세 결과 보기
+
+
+ );
+ })()
+ ) :
READY TO ANALYZE
}
+
+
+
+
+
+ 분석 설정
+
+
버전 선택
+
+
setVersionType('v1')} style={{ flex: 1, padding: '10px', borderRadius: '8px', border: 'none', backgroundColor: versionType === 'v1' ? '#222' : 'transparent', color: versionType === 'v1' ? '#39FF14' : '#666', cursor: 'pointer' }}>V1
+
setVersionType('v2')}
+ style={{ position: 'relative', flex: 1, padding: '10px', borderRadius: '8px', border: 'none', backgroundColor: versionType === 'v2' ? '#222' : 'transparent', color: versionType === 'v2' ? '#39FF14' : '#666', cursor: 'pointer' }}
+ >
+ V2
+
+
+
+
+
+
+
+
+
+
대상 도메인
+
+ setDomainType('western')} style={{ flex: 1, padding: '12px', borderRadius: '8px', border: 'none', backgroundColor: domainType === 'western' ? '#222' : '#000', color: domainType === 'western' ? '#39FF14' : '#666', cursor: 'pointer' }}>서양인
+ setDomainType('asian')} disabled={versionType === 'v1'} style={{ flex: 1, padding: '12px', borderRadius: '8px', border: 'none', backgroundColor: domainType === 'asian' ? '#222' : '#000', color: domainType === 'asian' ? '#39FF14' : '#666', cursor: versionType === 'v1' ? 'not-allowed' : 'pointer' }}>동양인
+
+
+ 모델 선택
+
+ {/* FAST */}
+
setModelType('fast')}
+ style={{ position: 'relative', padding: '14px', background: '#111', border: `1px solid ${modelType === 'fast' ? '#39FF14' : '#333'}`, borderRadius: '10px', cursor: 'pointer' }}
+ >
+
+ RECOMMENDED
+
+
+ setModelType('fast')} style={{ accentColor: '#39FF14' }} />
+ FAST
+
+
+
+ {/* PRO */}
+
setModelType('pro')}
+ style={{ position: 'relative', padding: '14px', background: '#111', border: `1px solid ${modelType === 'pro' ? '#39FF14' : '#333'}`, borderRadius: '10px', cursor: 'pointer' }}
+ >
+
+ setModelType('pro')} style={{ accentColor: '#39FF14' }} />
+ PRO
+ 회원 전용
+
+
+
+
+ 높은 정확도
+
+
+
+
+
+ {isAnalyzing ? "분석 중..." : "분석 시작"}
+
+
+
+
+
+ );
+};
+
+export default VideoAnalysisPage;
\ No newline at end of file
diff --git a/client/src/pages/VideoTimelinePage.js b/client/src/pages/VideoTimelinePage.js
new file mode 100644
index 0000000..769db71
--- /dev/null
+++ b/client/src/pages/VideoTimelinePage.js
@@ -0,0 +1,386 @@
+import React, { useEffect, useState, useRef, useCallback } from 'react';
+import { useLocation, useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+
+
+const normalizeFrame = (f, i) => {
+ const raw = f.score ?? f.fake_score ?? 0;
+ const fake_score = raw <= 1 ? raw * 100 : raw;
+ const ts = f.frame_time != null
+ ? new Date(f.frame_time * 1000).toISOString().substr(14, 5)
+ : f.timestamp ?? `00:${String(i * 2).padStart(2, '0')}`;
+ return { ...f, fake_score, frame_index: f.frame_index ?? i, timestamp: ts };
+};
+
+const VideoTimelinePage = ({ sessionUser }) => {
+ const { state: data } = useLocation();
+ const navigate = useNavigate();
+ const [timelineData, setTimelineData] = useState([]);
+ const [, setVideoMeta] = useState(null);
+ const [isLoading, setIsLoading] = useState(true);
+
+ const videoId = data?.video_id || data?.id;
+ const mediaLoc = data?.video_loc || '';
+ const mediaSrc = mediaLoc.startsWith('blob') ? mediaLoc : mediaLoc;
+
+ // Canvas는 막대 div 위에 absolute로 얹히므로
+ // 막대 div 자체를 ref로 잡아서 크기/위치를 측정
+ const canvasRef = useRef(null);
+ const barsRef = useRef(null); // 막대들이 들어있는 flex div
+ const barRefs = useRef([]); // 각 막대 div ref 배열
+
+ useEffect(() => {
+ const fetchTimelineDetails = async () => {
+ if (!videoId) { setIsLoading(false); return; }
+ try {
+ const response = await axios.get(`/inference/video/${videoId}/detail`);
+ const d = response.data;
+ let frames = [];
+ if (d?.frames?.length) frames = d.frames;
+ else if (d?.timeline?.length) frames = d.timeline;
+ if (d?.meta) setVideoMeta(d.meta);
+ if (frames.length) {
+ setTimelineData(frames.map(normalizeFrame));
+ } else {
+ setTimelineData(Array.from({ length: 10 }, (_, i) => normalizeFrame({
+ frame_index: i, frame_time: i * 2,
+ score: (i >= 3 && i <= 6) ? 0.855 : 0.123,
+ }, i)));
+ }
+ } catch {
+ setTimelineData(Array.from({ length: 10 }, (_, i) => normalizeFrame({
+ frame_index: i, frame_time: i * 2,
+ score: (i >= 3 && i <= 6) ? 0.855 : 0.123,
+ }, i)));
+ } finally {
+ setIsLoading(false);
+ }
+ };
+ fetchTimelineDetails();
+ }, [videoId]);
+
+ // ── fake/real 비율 (프레임 카운트 기준) ──
+ const fakeCount = timelineData.filter(f => f.fake_score > 50).length;
+ const totalCount = timelineData.length;
+ const fakeRatio = totalCount ? (fakeCount / totalCount) * 100 : 0;
+ const realRatio = 100 - fakeRatio;
+
+ // ── Canvas 렌더링 ──
+ // 핵심: 각 막대 div의 getBoundingClientRect()로 실제 화면 위치를 측정해
+ // 캔버스 좌표로 변환 → 완벽하게 막대 상단 중앙을 통과하는 꺾은선
+ const drawCanvas = useCallback(() => {
+ const canvas = canvasRef.current;
+ const barsEl = barsRef.current;
+ if (!canvas || !barsEl || timelineData.length < 2) return;
+ if (barRefs.current.length !== timelineData.length) return;
+ if (barRefs.current.some(r => !r)) return;
+
+ const barsRect = barsEl.getBoundingClientRect();
+ const W = barsRect.width;
+ const H = barsRect.height;
+ const dpr = window.devicePixelRatio || 1;
+
+ canvas.width = W * dpr;
+ canvas.height = H * dpr;
+ canvas.style.width = W + 'px';
+ canvas.style.height = H + 'px';
+
+ const ctx = canvas.getContext('2d');
+ ctx.scale(dpr, dpr);
+ ctx.clearRect(0, 0, W, H);
+
+ // 각 막대 상단 중앙 좌표 계산
+ // barRef는 막대 div (색깔 있는 직사각형)
+ const points = barRefs.current.map((barEl, i) => {
+ const barRect = barEl.getBoundingClientRect();
+ // canvas 기준 좌표 = barRect - barsRect (offset)
+ const x = barRect.left - barsRect.left + barRect.width / 2;
+ const y = barRect.top - barsRect.top; // 막대 상단
+ return { x, y, isFake: timelineData[i].fake_score > 50 };
+ });
+
+ // 50% 기준선 y좌표: fake_score=50일 때의 막대 높이 비율로 계산
+ // 막대 영역 높이 = barsEl에서 timestamp span 제외한 부분
+ // barsEl padding-top=30px → 막대 영역 시작 y=30, 막대 바닥 y=H-23(timestamp)
+ const BAR_TOP = 30; // padding-top
+ const BAR_BOTTOM = H - 23; // timestamp 텍스트 영역 제외
+ const BAR_H = BAR_BOTTOM - BAR_TOP;
+ const y50 = BAR_BOTTOM - (50 / 100) * BAR_H;
+
+ // 50% 기준선
+ ctx.save();
+ ctx.setLineDash([5, 4]);
+ ctx.strokeStyle = 'rgba(255, 75, 75, 0.3)';
+ ctx.lineWidth = 1;
+ ctx.beginPath();
+ ctx.moveTo(points[0].x, y50);
+ ctx.lineTo(points[points.length - 1].x, y50);
+ ctx.stroke();
+ ctx.restore();
+
+ // 꺾은선 글로우 (바깥 레이어)
+ ctx.save();
+ ctx.shadowColor = 'rgba(255,255,255,0.6)';
+ ctx.shadowBlur = 10;
+ ctx.beginPath();
+ ctx.moveTo(points[0].x, points[0].y);
+ for (let i = 1; i < points.length; i++) ctx.lineTo(points[i].x, points[i].y);
+ ctx.strokeStyle = 'rgba(255,255,255,0.85)';
+ ctx.lineWidth = 2;
+ ctx.lineJoin = 'round';
+ ctx.lineCap = 'round';
+ ctx.stroke();
+ ctx.restore();
+
+ // 데이터 포인트 dot
+ points.forEach((pt) => {
+ // 외곽 글로우 원
+ ctx.beginPath();
+ ctx.arc(pt.x, pt.y, 7, 0, Math.PI * 2);
+ ctx.fillStyle = pt.isFake ? 'rgba(255,75,75,0.15)' : 'rgba(57,255,20,0.12)';
+ ctx.fill();
+ // 내부 dot
+ ctx.beginPath();
+ ctx.arc(pt.x, pt.y, 4, 0, Math.PI * 2);
+ ctx.fillStyle = pt.isFake ? '#FF4B4B' : '#39FF14';
+ ctx.fill();
+ });
+ }, [timelineData]);
+
+ useEffect(() => {
+ if (isLoading || !timelineData.length) return;
+ // DOM 렌더 완료 후 실행 (두 번 대기로 안전하게)
+ const t1 = setTimeout(drawCanvas, 100);
+ const t2 = setTimeout(drawCanvas, 400);
+ const ro = new ResizeObserver(() => setTimeout(drawCanvas, 50));
+ if (barsRef.current) ro.observe(barsRef.current);
+ return () => { clearTimeout(t1); clearTimeout(t2); ro.disconnect(); };
+ }, [timelineData, isLoading, drawCanvas]);
+
+ if (!data) {
+ return (
+
+
전송된 비디오 분석 데이터가 없습니다.
+
navigate(-1)} style={{ marginLeft: '15px', padding: '8px 16px', backgroundColor: '#1A2C50', color: '#39FF14', border: 'none', borderRadius: '6px', cursor: 'pointer' }}>뒤로가기
+
+ );
+ }
+
+ return (
+
+
+ {/* 네비게이션 헤더 */}
+
+ navigate(-1)} style={{ color: '#888', background: 'none', border: 'none', cursor: 'pointer', fontSize: '16px', display: 'flex', alignItems: 'center', gap: '8px' }}>
+ ← 분석 결과 목록
+
+
+
+ 비디오 상세분석 결과
+
+
+
+
+
+
+ {/* 상단 미디어 정보 패널 존 */}
+
+
+
+
+
+
FORGERY RATIO
+
+
+ {/* 도넛 차트 */}
+
+ {/* real(초록) 전체 배경 링 */}
+
+ {/* fake(빨강) 비율만큼 덮어쓰기 */}
+
+ {/* 중앙 fake % 텍스트 (rotate 보정) */}
+
+ {fakeRatio.toFixed(0)}%
+
+
+
+ {/* 범례 */}
+
+
+
+ FAKE
+ {fakeRatio.toFixed(1)}%
+
+
+
+ REAL
+ {realRatio.toFixed(1)}%
+
+
+ {fakeCount} / {totalCount} FRAMES
+
+
+
+
+
+
+ {/* 하단: 타임라인 그래프 & 프레임 데이터 보드 */}
+
+
CHRONOLOGICAL FORGERY RISK MATRIX
+
+ {isLoading ? (
+
CALCULATING FRAME-LEVEL METRICS...
+ ) : (
+
+ {/* 차트 영역: 막대 + Canvas 꺾은선 */}
+
+
+ {/* 막대 그래프 */}
+
+ {timelineData.map((frame, i) => {
+ const isFakeUnit = frame.fake_score > 50;
+ return (
+
+ {/* 막대 div — ref 배열로 각각 잡음 */}
+
barRefs.current[i] = el}
+ style={{
+ width: '24%',
+ height: `${Math.max(frame.fake_score, 4)}%`,
+ backgroundColor: isFakeUnit ? '#FF4B4B' : '#39FF14',
+ borderRadius: '2px 2px 0 0',
+ transition: 'height 0.4s cubic-bezier(0.1, 1, 0.1, 1)',
+ boxShadow: isFakeUnit ? '0 0 12px rgba(255,75,75,0.25)' : '0 0 12px rgba(57,255,20,0.15)'
+ }}
+ />
+ {frame.timestamp}
+
+ );
+ })}
+
+
+ {/* Canvas: barsRef와 완전히 동일한 위치/크기 */}
+
+
+
+ {/* 구간별 히트맵 버튼 행 */}
+
+ {timelineData.map((frame, i) => {
+ const isFake = frame.fake_score > 50;
+ return (
+
+ navigate('/heatmap', {
+ state: {
+ video_id: videoId,
+ frame_index: frame.frame_index,
+ timestamp: frame.timestamp,
+ fake_score: frame.fake_score,
+ model_type: data.model_type || 'fast',
+ video_name: data.video_name,
+ }
+ })}
+ title={`${frame.timestamp} 히트맵`}
+ style={{
+ width: '100%', padding: '5px 0',
+ backgroundColor: 'transparent',
+ color: isFake ? '#FF4B4B' : '#39FF14',
+ border: `1px solid ${isFake ? 'rgba(255,75,75,0.3)' : 'rgba(57,255,20,0.25)'}`,
+ borderRadius: '4px', fontSize: '9px', fontWeight: '700',
+ letterSpacing: '0.3px', cursor: 'pointer', transition: 'all 0.15s',
+ }}
+ onMouseEnter={(e) => {
+ e.currentTarget.style.backgroundColor = isFake ? 'rgba(255,75,75,0.1)' : 'rgba(57,255,20,0.08)';
+ e.currentTarget.style.boxShadow = isFake ? '0 0 8px rgba(255,75,75,0.2)' : '0 0 8px rgba(57,255,20,0.15)';
+ }}
+ onMouseLeave={(e) => {
+ e.currentTarget.style.backgroundColor = 'transparent';
+ e.currentTarget.style.boxShadow = 'none';
+ }}
+ >
+ HEAT
+
+
+ );
+ })}
+
+
+ {/* 구간별 텍스트 그리드 */}
+
+ {timelineData.map((frame, idx) => {
+ const isFake = frame.fake_score > 50;
+ return (
+
+
TIMESTAMP {frame.timestamp}
+
+ 변조 확률: {Number(frame.fake_score).toFixed(1)}%
+
+ {isFake ? 'MANIPULATED' : 'VERIFIED'}
+
+ navigate('/heatmap', {
+ state: {
+ video_id: videoId,
+ frame_index: frame.frame_index,
+ timestamp: frame.timestamp,
+ fake_score: frame.fake_score,
+ model_type: data.model_type || 'fast',
+ video_name: data.video_name,
+ }
+ })}
+ style={{
+ padding: '3px 10px', backgroundColor: 'transparent', color: '#666',
+ border: '1px solid #2A2A2A', borderRadius: '4px', fontSize: '11px',
+ fontWeight: 'bold', cursor: 'pointer', transition: 'all 0.15s',
+ }}
+ onMouseEnter={(e) => { e.currentTarget.style.borderColor = '#39FF14'; e.currentTarget.style.color = '#39FF14'; }}
+ onMouseLeave={(e) => { e.currentTarget.style.borderColor = '#2A2A2A'; e.currentTarget.style.color = '#666'; }}
+ >
+ 히트맵
+
+
+
+ );
+ })}
+
+
+ )}
+
+
+
+ );
+};
+
+export default VideoTimelinePage;
\ No newline at end of file
diff --git a/client/src/pages/analysispage.js b/client/src/pages/analysispage.js
new file mode 100644
index 0000000..ded186f
--- /dev/null
+++ b/client/src/pages/analysispage.js
@@ -0,0 +1,505 @@
+import React, { useState, useEffect, useCallback, useRef } from 'react';
+import { useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+// 예시 이미지 (public/samples/images/ 하위에 실제 파일 배치 필요)
+const SAMPLE_IMAGES = [
+ { name: 'asian_fake_1.JPG', src: '/samples/images/asian_fake_1.JPG', domain: 'asian', label: '동양인 Fake' },
+ { name: 'asian_fake_2.JPG', src: '/samples/images/asian_fake_2.JPG', domain: 'asian', label: '동양인 Fake' },
+ { name: 'western_fake_1.JPG', src: '/samples/images/western_fake_1.JPG', domain: 'western', label: '서양인 Fake' },
+ { name: 'western_fake_2.JPG', src: '/samples/images/western_fake_2.JPG', domain: 'western', label: '서양인 Fake' },
+];
+
+const AnalysisPage = ({ sessionUser, onLogout, setSessionUser }) => {
+ const navigate = useNavigate();
+
+ const [file, setFile] = useState(null);
+ const [previewUrl, setPreviewUrl] = useState(null);
+ const [isAnalyzing, setIsAnalyzing] = useState(false);
+ const [history, setHistory] = useState([]);
+
+ const [showOptions, setShowOptions] = useState(false);
+ const [isEditMode, setIsEditMode] = useState(false);
+ const [selectedIds, setSelectedIds] = useState([]);
+ const [selectedSample, setSelectedSample] = useState(null);
+
+ const [versionType, setVersionType] = useState('v2');
+ const [modelType, setModelType] = useState('fast');
+ const [domainType, setDomainType] = useState('western');
+
+ const [result, setResult] = useState(null);
+ const [statusMessage, setStatusMessage] = useState('');
+
+ const [isSidebarOpen, setIsSidebarOpen] = useState(true);
+
+ const pollingTimer = useRef(null);
+ const isMounted = useRef(true);
+
+ const sideBarStyle = {
+ width: isSidebarOpen ? '280px' : '0',
+ backgroundColor: '#050505',
+ borderRight: isSidebarOpen ? '1px solid #222' : 'none',
+ display: 'flex',
+ flexDirection: 'column',
+ padding: isSidebarOpen ? '25px' : '0',
+ overflow: 'hidden',
+ flexShrink: 0,
+ transition: 'width 0.3s ease, padding 0.3s ease',
+ };
+ const centerZoneStyle = { flex: 1, padding: '40px', display: 'flex', flexDirection: 'column', gap: '20px', overflowY: 'auto', position: 'relative' };
+ const rightPanelStyle = { width: '340px', backgroundColor: '#0D0D0D', borderLeft: '1px solid #222', padding: '30px', display: 'flex', flexDirection: 'column' };
+ const innerBoxStyle = { flex: 1, border: '2px dashed #333', borderRadius: '20px', display: 'flex', flexDirection: 'column', justifyContent: 'center', alignItems: 'center', backgroundColor: '#0a0a0a', cursor: 'pointer', position: 'relative', transition: 'all 0.3s' };
+ const plusBtnStyle = { width: '60px', height: '60px', borderRadius: '50%', backgroundColor: '#1A2C50', display: 'flex', justifyContent: 'center', alignItems: 'center', fontSize: '30px', color: '#39FF14', marginBottom: '20px', boxShadow: '0 0 15px rgba(57, 255, 20, 0.2)' };
+
+ const fetchHistory = useCallback(async () => {
+ if (!sessionUser) return;
+ try {
+ const response = await axios.get('/image/history');
+ if (response.data.status === "success") {
+ setHistory(response.data.context || []);
+ }
+ } catch (e) { console.log("히스토리 로드 실패"); }
+ }, [sessionUser]);
+
+ useEffect(() => {
+ isMounted.current = true;
+ const syncSession = async () => {
+ if (!sessionUser) {
+ try {
+ const response = await axios.get('/auth/check');
+ if (response.data && response.data.user) setSessionUser(response.data.user);
+ } catch (error) { console.log("세션 확인 실패"); }
+ }
+ };
+ syncSession();
+ fetchHistory();
+
+ return () => {
+ isMounted.current = false;
+ if (pollingTimer.current) {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ }
+ };
+ }, [sessionUser, setSessionUser, fetchHistory]);
+
+ const startPolling = useCallback((imageId) => {
+ if (!imageId) return;
+ if (pollingTimer.current) clearInterval(pollingTimer.current);
+
+ pollingTimer.current = setInterval(async () => {
+ if (!isMounted.current) return;
+ try {
+ const response = await axios.get(`/inference/image/${imageId}`);
+ const data = response.data;
+ if (data.status === 'SUCCESS' || data.prob !== undefined || data.analysis !== undefined) {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ setResult({ ...data, image_id: imageId });
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ fetchHistory();
+ } else if (data.status === 'FAILED' || data.status === 'ERROR') {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ alert(data.result_msg || "분석 실패");
+ } else if (data.status === 'WARNING') {
+ clearInterval(pollingTimer.current);
+ pollingTimer.current = null;
+ setResult({ ...data, status: 'WARNING' });
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ fetchHistory();
+ } else {
+ setStatusMessage(data.message || "이미지 분석 진행 중...");
+ }
+ } catch (err) { setResult(null); }
+ }, 2000);
+ }, [fetchHistory]);
+
+ const handlePredict = async () => {
+ if (modelType === 'pro' && !sessionUser) {
+ alert("PRO 모델 분석은 로그인이 필요합니다.");
+ navigate('/login');
+ return;
+ }
+ if (!file) return alert("이미지를 먼저 업로드해주세요.");
+
+ const formData = new FormData();
+ formData.append('imagefile', file);
+ formData.append('model_type', modelType);
+ formData.append('domain_type', domainType === 'western' ? '서양인' : '동양인');
+ formData.append('version_type', versionType);
+
+ setIsAnalyzing(true);
+ setStatusMessage('서버 접수 중...');
+ setResult(null);
+
+ try {
+ const response = await axios.post('/inference/image', formData);
+ const imageId = response.data?.image_id || response.data;
+ if (imageId) startPolling(imageId);
+ else setIsAnalyzing(false);
+ } catch (err) {
+ setIsAnalyzing(false);
+ setStatusMessage('');
+ }
+ };
+
+ const handleFileSelect = (selectedFile) => {
+ if (!selectedFile) return;
+ setFile(selectedFile);
+ if (previewUrl) URL.revokeObjectURL(previewUrl);
+ setPreviewUrl(URL.createObjectURL(selectedFile));
+ setResult(null);
+ setStatusMessage('');
+ setShowOptions(false);
+ setSelectedSample(null); // 샘플 외 경로로 들어오면 선택 해제
+ };
+
+ // 예시 이미지를 File로 변환 후 기존 업로드 흐름에 주입 + 도메인 자동 세팅
+ const handleSelectSample = async (sample) => {
+ try {
+ const res = await fetch(sample.src);
+ const blob = await res.blob();
+ const file = new File([blob], sample.name, { type: blob.type });
+ if (sample.domain === 'asian') setVersionType('v2'); // 동양인은 v2 전용
+ setDomainType(sample.domain);
+ handleFileSelect(file);
+ setSelectedSample(sample.name); // handleFileSelect 리셋 이후 선택 표시
+ } catch (e) {
+ alert("예시 파일을 불러오지 못했어요.");
+ }
+ };
+
+ const toggleSelect = (id) => {
+ setSelectedIds(prev => prev.includes(id) ? prev.filter(item => item !== id) : [...prev, id]);
+ };
+
+ const handleDeleteSelected = async () => {
+ if (selectedIds.length === 0) return;
+ if (!window.confirm(`${selectedIds.length}개의 기록을 삭제하시겠습니까?`)) return;
+
+ try {
+ const deletePromises = selectedIds.map(id =>
+ axios.delete(`/image/history/${id}`)
+ );
+ await Promise.all(deletePromises);
+ alert("선택한 이미지 기록이 성공적으로 삭제되었습니다.");
+ fetchHistory();
+ setSelectedIds([]);
+ setIsEditMode(false);
+ } catch (error) {
+ console.error(error);
+ alert("서버에서 기록을 삭제하는 중 오류가 발생했습니다.");
+ }
+ };
+
+ const handleLogoutClick = async () => {
+ if (!window.confirm("로그아웃 하시겠습니까?")) return;
+ try {
+ await axios.get('/auth/logout');
+ onLogout();
+ navigate('/analysis');
+ } catch (error) { alert("로그아웃 실패"); }
+ };
+
+ return (
+
+
+
+
+
{ setFile(null); setPreviewUrl(null); setResult(null); setStatusMessage(''); setShowOptions(false); setSelectedSample(null); if (pollingTimer.current) clearInterval(pollingTimer.current); }} style={{ backgroundColor: '#1A2C50', color: 'white', padding: '14px', borderRadius: '10px', border: 'none', marginBottom: '35px', cursor: 'pointer', fontWeight: 'bold' }}>+ 새 분석 시작
+
+
+
내 작업 기록
+
+ {sessionUser && history.length > 0 && (
+
{ setIsEditMode(!isEditMode); setSelectedIds([]); }} style={{ background: 'none', border: 'none', color: '#39FF14', cursor: 'pointer', fontSize: '12px' }}>
+ {isEditMode ? '취소' : '편집'}
+
+ )}
+
setIsSidebarOpen(false)} style={{ background: 'none', border: 'none', color: '#666', cursor: 'pointer', display: 'flex', padding: 0 }} aria-label="사이드바 접기">
+
+
+
+
+
+
+ {sessionUser ? (
+ history.map((item, index) => {
+ const p = item.prob ?? item.score ?? item.analysis?.prob ?? -1;
+ const isSelected = selectedIds.includes(item.image_id);
+ const vType = item.version_type ? item.version_type.toUpperCase() : 'V2';
+ const dType = item.domain_type || '서양인';
+ const mType = item.model_type ? item.model_type.toUpperCase() : 'FAST';
+
+ let itemLabel = 'UNKNOWN';
+ if (item.label && item.label !== 'UNKNOWN') {
+ itemLabel = item.label.toUpperCase();
+ } else if (p !== -1) {
+ itemLabel = p > 0.5 ? 'FAKE' : 'REAL';
+ }
+
+ return (
+
+ {isEditMode &&
toggleSelect(item.image_id)} style={{ accentColor: '#39FF14', width: '18px', height: '18px' }} />}
+
!isEditMode && navigate('/analysis-detail', {
+ state: { image_id: item.image_id }
+ })}
+ style={{ flex: 1, display: 'flex', alignItems: 'center', gap: '15px', padding: '12px', backgroundColor: '#111', borderRadius: '12px', border: isSelected ? '1px solid #39FF14' : '1px solid #222', cursor: isEditMode ? 'default' : 'pointer' }}
+ >
+
+ {item.image_loc ?
: '🖼️'}
+
+
+
{vType} | {dType} | {mType}
+
+ {item.created_at?.slice(0, 10)}
+ {item.created_at?.slice(11, 16)}
+
+
{itemLabel}
+
+
+
+ );
+ })
+ ) :
로그인 필요
}
+
+
+ {isEditMode && (
+
0 ? '#FF4B4B' : '#222', color: '#fff', border: 'none', borderRadius: '8px', cursor: selectedIds.length > 0 ? 'pointer' : 'not-allowed', marginTop: '10px', fontWeight: 'bold' }}
+ >
+ 선택 삭제 ({selectedIds.length})
+
+ )}
+
+
+
navigate('/main')} style={{ width: '100%', padding: '12px', backgroundColor: 'transparent', color: '#fff', border: '1px solid #444', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold', marginBottom: '15px' }}>메인 화면
+ {sessionUser ? (
+
+
{sessionUser.name}님 접속 중
+
로그아웃
+
+ ) :
navigate('/login')} style={{ width: '100%', padding: '12px', backgroundColor: '#1A2C50', color: 'white', border: 'none', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold' }}>로그인 }
+
+
+
+
+
+ {!isSidebarOpen && (
+ setIsSidebarOpen(true)}
+ style={{ position: 'absolute', top: '20px', left: '20px', zIndex: 10, background: '#111', border: '1px solid #333', borderRadius: '8px', color: '#39FF14', cursor: 'pointer', padding: '8px', display: 'flex' }}
+ aria-label="사이드바 열기"
+ >
+
+
+ )}
+ Deep Guard AI
+
+ {/* 예시 이미지 — 로컬 샘플 없이 바로 테스트 */}
+
+ {SAMPLE_IMAGES.map((s) => {
+ const isFake = s.label.includes('Fake');
+ const tagColor = isFake ? '#FF4B4B' : '#39FF14';
+ const isSelected = selectedSample === s.name;
+ return (
+
handleSelectSample(s)} title={s.label}
+ style={{
+ position: 'relative', flexShrink: 0, width: '100px', height: '74px',
+ borderRadius: '12px', overflow: 'hidden', cursor: 'pointer',
+ border: isSelected ? '2px solid #39FF14' : '1px solid #2a2a2a',
+ boxShadow: isSelected ? '0 0 0 1px #39FF14, 0 6px 18px rgba(57,255,20,0.4)' : 'none'
+ }}>
+
+ {/* 우상단 FAKE/REAL 뱃지 */}
+
+ {isFake ? 'FAKE' : 'REAL'}
+
+ {/* 하단 그라데이션 + 도메인 */}
+
+ {s.label.split(' ')[0]}
+
+
+ );
+ })}
+
+
+
+
{ if(!previewUrl) setShowOptions(!showOptions); }}>
+ {previewUrl ?
: (
+
+
+
+
Image Upload
+
이미지를 업로드하세요
+ {showOptions && (
+
+ { e.stopPropagation(); document.getElementById('fIn').click(); }} style={{ padding: '10px 18px', backgroundColor: '#222', color: '#39FF14', border: '1px solid #39FF14', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold' }}>내 PC 파일
+ {/* { e.stopPropagation(); alert("준비 중입니다."); setShowOptions(false); }} style={{ padding: '10px 18px', backgroundColor: '#222', color: '#fff', border: '1px solid #444', borderRadius: '8px', cursor: 'pointer', fontWeight: 'bold' }}>Cloud Drive */}
+
+ )}
+
+ )}
+
handleFileSelect(e.target.files[0])} />
+
+
+
+ {isAnalyzing ? (
+
+
+
+
+
SYSTEM ENGINE
+
AI SCANNING...
+
+
+
+ {statusMessage || "ANALYZING DATA..."}
+ LIVE_CORE
+
+
+
+
+ ) : result ? (
+ result.status === 'WARNING' ? (
+
+
+
+
+
+
+
분석을 완료하지 못했어요
+
+ {result.result_msg}
+
+
+ ) : (() => {
+ const label = result.label || (result.score > 0.5 ? 'FAKE' : 'REAL');
+ const color = label === 'FAKE' ? '#FF4B4B' : '#39FF14';
+ return (
+
+
{label}
+
navigate('/analysis-detail', { state: { image_id: result.image_id } })}
+ style={{
+ marginTop: '80px',
+ color,
+ background: 'none',
+ border: 'none',
+ padding: 0,
+ fontWeight: 'bold',
+ fontSize: '14px',
+ textDecoration: 'underline',
+ textUnderlineOffset: '3px',
+ cursor: 'pointer'
+ }}
+ >
+ 상세 결과 보기
+
+
+ );
+ })()
+ ) :
WAITING...
}
+
+
+
+
+
+ 분석 설정
+
+
버전 선택
+
+
setVersionType('v1')} style={{ flex: 1, padding: '10px', borderRadius: '8px', border: 'none', backgroundColor: versionType === 'v1' ? '#222' : 'transparent', color: versionType === 'v1' ? '#39FF14' : '#666', cursor: 'pointer' }}>V1
+
setVersionType('v2')}
+ style={{ position: 'relative', flex: 1, padding: '10px', borderRadius: '8px', border: 'none', backgroundColor: versionType === 'v2' ? '#222' : 'transparent', color: versionType === 'v2' ? '#39FF14' : '#666', cursor: 'pointer' }}
+ >
+ V2
+
+
+
+
+
+
+
+
+
+
대상 도메인
+
+ setDomainType('western')} style={{ flex: 1, padding: '12px', borderRadius: '8px', border: 'none', backgroundColor: domainType === 'western' ? '#222' : '#000', color: domainType === 'western' ? '#39FF14' : '#666', cursor: 'pointer' }}>서양인
+ setDomainType('asian')} disabled={versionType === 'v1'} style={{ flex: 1, padding: '12px', borderRadius: '8px', border: 'none', backgroundColor: domainType === 'asian' ? '#222' : '#000', color: domainType === 'asian' ? '#39FF14' : '#666', cursor: versionType === 'v1' ? 'not-allowed' : 'pointer' }}>동양인
+
+
+ 모델 선택
+
+ {/* FAST */}
+
setModelType('fast')}
+ style={{ position: 'relative', padding: '14px', background: '#111', border: `1px solid ${modelType === 'fast' ? '#39FF14' : '#333'}`, borderRadius: '10px', cursor: 'pointer' }}
+ >
+
+ RECOMMENDED
+
+
+ setModelType('fast')} style={{ accentColor: '#39FF14' }} />
+ FAST
+
+
+
+ {/* PRO */}
+
setModelType('pro')}
+ style={{ position: 'relative', padding: '14px', background: '#111', border: `1px solid ${modelType === 'pro' ? '#39FF14' : '#333'}`, borderRadius: '10px', cursor: 'pointer' }}
+ >
+
+ setModelType('pro')} style={{ accentColor: '#39FF14' }} />
+ PRO
+ 회원 전용
+
+
+
+
+ 높은 정확도
+
+
+
+
+
+ {isAnalyzing ? "분석 중..." : "분석 시작"}
+
+
+
+
+
+ );
+};
+
+export default AnalysisPage;
\ No newline at end of file
diff --git a/client/src/pages/loginpage.js b/client/src/pages/loginpage.js
new file mode 100644
index 0000000..4f49997
--- /dev/null
+++ b/client/src/pages/loginpage.js
@@ -0,0 +1,58 @@
+import React, { useState } from 'react';
+import { useNavigate } from 'react-router-dom';
+import axios from 'axios';
+import logo from '../assets/logo.svg';
+
+
+
+const LoginPage = ({ setSessionUser }) => {
+ const navigate = useNavigate();
+ const [email, setEmail] = useState('');
+ const [password, setPassword] = useState('');
+ const [isLoading, setIsLoading] = useState(false);
+
+ const handleLogin = async (e) => {
+ e.preventDefault();
+ setIsLoading(true);
+ try {
+ await axios.post('/auth/login', { email, password });
+
+ const homeRes = await axios.get('/home');
+ if (homeRes.data.session_user) {
+ setSessionUser(homeRes.data.session_user);
+ alert(`${homeRes.data.session_user.name}님 환영합니다!`);
+ navigate('/analysis');
+ }
+ } catch (error) {
+ const detail = error.response?.data?.detail || "로그인 정보를 확인해주세요.";
+ alert(`로그인 실패: ${detail}`);
+ } finally {
+ setIsLoading(false);
+ }
+ };
+
+ const containerStyle = { backgroundColor: '#000', height: '100vh', display: 'flex', flexDirection: 'column', alignItems: 'center', justifyContent: 'center', color: 'white', fontFamily: 'sans-serif' };
+ const loginBoxStyle = { width: '400px', padding: '40px', backgroundColor: '#111', borderRadius: '20px', border: '1px solid #222', textAlign: 'center' };
+ const inputStyle = { width: '100%', padding: '12px 15px', marginBottom: '15px', borderRadius: '8px', border: '1px solid #333', backgroundColor: '#000', color: 'white', boxSizing: 'border-box', fontSize: '15px', outline: 'none' };
+ const loginBtnStyle = { width: '100%', padding: '14px', backgroundColor: isLoading ? '#555' : '#39FF14', color: '#000', border: 'none', borderRadius: '8px', fontWeight: 'bold', fontSize: '16px', cursor: isLoading ? 'not-allowed' : 'pointer', marginTop: '10px' };
+
+ return (
+
+
navigate('/main')} />
+
+
로그인
+
Deep Guard 서비스를 이용하려면 로그인하세요.
+
+
+ 아직 계정이 없으신가요? navigate('/register')} style={{ color: '#39FF14', cursor: 'pointer', fontWeight: 'bold', textDecoration: 'underline' }}>회원가입
+
+
+
+ );
+};
+
+export default LoginPage;
\ No newline at end of file
diff --git a/client/src/pages/mainpage.js b/client/src/pages/mainpage.js
new file mode 100644
index 0000000..e9675f3
--- /dev/null
+++ b/client/src/pages/mainpage.js
@@ -0,0 +1,105 @@
+import React from 'react';
+import { useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+import logo from '../assets/logo.svg';
+import circle from '../assets/circle.svg';
+import bgCurve from '../assets/line.svg';
+
+const MainPage = ({ sessionUser, onLogout }) => {
+ const navigate = useNavigate();
+
+ const handleBasicAnalysis = () => navigate('/analysis');
+
+ const handleVideoAnalysis = () => navigate('/video-analysis');
+
+ const handleProAnalysis = () => {
+ if (sessionUser) {
+ navigate('/analysis');
+ } else {
+ alert("Pro 모델 분석은 로그인이 필요합니다.");
+ navigate('/login');
+ }
+ };
+
+ const handleLogoutClick = async () => {
+ if (!window.confirm("로그아웃 하시겠습니까?")) return;
+ try {
+ await axios.get('/auth/logout');
+ if (onLogout) onLogout();
+ alert("성공적으로 로그아웃되었습니다.");
+ navigate('/main');
+ } catch (error) {
+ alert("로그아웃 처리 중 오류가 발생했습니다.");
+ }
+ };
+
+ const containerStyle = { backgroundColor: '#000000', minHeight: '100vh', width: '100vw', color: 'white', fontFamily: 'sans-serif', display: 'flex', flexDirection: 'column', position: 'relative', overflowX: 'hidden' };
+ const navStyle = { position: 'sticky', top: 0, width: '100%', padding: '20px 80px', display: 'flex', justifyContent: 'space-between', alignItems: 'center', backgroundColor: 'rgba(0, 0, 0, 0.9)', backdropFilter: 'blur(10px)', zIndex: 100, boxSizing: 'border-box', borderBottom: '1px solid #111' };
+ const sectionStyle = { display: 'flex', flexDirection: 'column', alignItems: 'center', justifyContent: 'center', padding: '100px 20px', textAlign: 'center', position: 'relative', zIndex: 10 };
+ const analysisBoxStyle = { width: '420px', height: '500px', backgroundColor: '#111', borderRadius: '24px', display: 'flex', flexDirection: 'column', justifyContent: 'center', alignItems: 'center', padding: '40px', boxSizing: 'border-box', border: '1px solid #222', transition: '0.3s' };
+ const modelBtnBase = { width: '100%', padding: '14px 20px', borderRadius: '30px', fontSize: '15px', fontWeight: 'bold', cursor: 'pointer', border: 'none', display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginTop: '12px', color: 'white' };
+
+ return (
+
+
+
+
+
+
navigate('/main')} />
+ {sessionUser && (
+
+ {sessionUser.name} 님 환영합니다
+
+ )}
+
+
+
+ 이미지 분석
+ 동영상 분석
+
+ {sessionUser ? (
+ 로그아웃
+ ) : (
+ navigate('/login')} style={{ backgroundColor: '#333', color: 'white', padding: '8px 25px', borderRadius: '20px', border: 'none', cursor: 'pointer', fontWeight: 'bold' }}>로그인
+ )}
+
+
+
+
+ DeepGuard AI System
+
+ Deep Guard는 사용자가 업로드한
+ 이미지 또는 비디오의 딥페이크 변조 여부 와
+ 상세 정보를 제공합니다.
+
+ 정밀한 AI 모델을 통해 지금 바로 분석을 시작해보세요.
+ 무료 분석 시작 ❯
+
+
+
+ e.currentTarget.style.borderColor = '#39FF14'} onMouseOut={(e) => e.currentTarget.style.borderColor = '#222'}>
+
이미지 분석
+
+
Fast 모델 ❯
+
+ Pro 정밀 모델
+ ❯
+
+
+
+ e.currentTarget.style.borderColor = '#39FF14'} onMouseOut={(e) => e.currentTarget.style.borderColor = '#222'}>
+
비디오 분석
+
+
Fast 모델 ❯
+
+ Pro 정밀 모델
+ ❯
+
+
+
+
+ );
+};
+
+export default MainPage;
\ No newline at end of file
diff --git a/client/src/pages/signuppage.js b/client/src/pages/signuppage.js
new file mode 100644
index 0000000..800ba6b
--- /dev/null
+++ b/client/src/pages/signuppage.js
@@ -0,0 +1,153 @@
+import React, { useState } from 'react';
+import { useNavigate } from 'react-router-dom';
+import axios from 'axios';
+
+import logo from '../assets/logo.svg';
+import medicalIcon from '../assets/MedicalIcons.svg';
+import ellipse from '../assets/Ellipse638.svg';
+
+const SignupPage = () => {
+ const navigate = useNavigate();
+
+ const [name, setName] = useState('');
+ const [email, setEmail] = useState('');
+ const [password, setPassword] = useState('');
+ const [isAgreed, setIsAgreed] = useState(false);
+ const [isLoading, setIsLoading] = useState(false);
+
+ const handleSignup = async (e) => {
+ e.preventDefault();
+
+ if (password.length < 8) {
+ alert("비밀번호는 8자 이상이어야 합니다.");
+ return;
+ }
+
+ if (!isAgreed) {
+ alert("이용 수칙에 동의해 주세요.");
+ return;
+ }
+
+ setIsLoading(true);
+
+ try {
+ const response = await axios.post('/auth/register', {
+ name,
+ email,
+ password
+ });
+
+ if (response.status === 200 || response.status === 201) {
+ alert(response.data.message || "회원가입이 완료되었습니다! 로그인해 주세요.");
+ navigate('/login');
+ }
+ } catch (error) {
+ if (error.response && error.response.data) {
+ const { error_type, title_message, detail } = error.response.data;
+
+ if (error_type === "valid") {
+ alert(`[입력 오류] ${detail}`);
+ } else {
+ alert(`[${title_message}] ${detail}`);
+ }
+ } else {
+ alert("서버와 통신할 수 없습니다. 네트워크 상태를 확인해주세요.");
+ }
+ } finally {
+ setIsLoading(false);
+ }
+ };
+
+ const containerStyle = {
+ backgroundColor: '#000000',
+ height: '100vh',
+ width: '100vw',
+ display: 'flex',
+ justifyContent: 'space-around',
+ alignItems: 'center',
+ color: 'white',
+ fontFamily: 'sans-serif',
+ overflow: 'hidden',
+ position: 'relative',
+ };
+
+ const formSideStyle = { zIndex: 2, display: 'flex', flexDirection: 'column', width: '600px' };
+
+ const inputStyle = {
+ backgroundColor: '#050505',
+ border: '1px solid #333',
+ borderRadius: '8px',
+ padding: '15px',
+ color: 'white',
+ marginTop: '5px',
+ width: '100%',
+ boxSizing: 'border-box',
+ outline: 'none'
+ };
+
+ const buttonStyle = {
+ backgroundColor: isLoading ? '#555' : '#39FF14',
+ color: 'black',
+ padding: '15px',
+ border: 'none',
+ borderRadius: '8px',
+ cursor: isLoading ? 'not-allowed' : 'pointer',
+ fontWeight: 'bold',
+ fontSize: '16px',
+ marginTop: '30px',
+ width: '100%',
+ opacity: isLoading ? 0.7 : 1,
+ transition: '0.3s'
+ };
+
+ return (
+
+
+
+
+
+
navigate('/main')} />
+
+
+
Deep Guard에 오신 걸 환영합니다!
+
계정을 생성하고 딥가드를 시작하세요
+
+
+
+
+ 이미 계정이 있으신가요? navigate('/login')}>로그인
+
+
+
+
+
+
+
+ );
+};
+
+export default SignupPage;
\ No newline at end of file
diff --git a/client/src/reportWebVitals.js b/client/src/reportWebVitals.js
new file mode 100644
index 0000000..5253d3a
--- /dev/null
+++ b/client/src/reportWebVitals.js
@@ -0,0 +1,13 @@
+const reportWebVitals = onPerfEntry => {
+ if (onPerfEntry && onPerfEntry instanceof Function) {
+ import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {
+ getCLS(onPerfEntry);
+ getFID(onPerfEntry);
+ getFCP(onPerfEntry);
+ getLCP(onPerfEntry);
+ getTTFB(onPerfEntry);
+ });
+ }
+};
+
+export default reportWebVitals;
diff --git a/client/src/setupProxy.js b/client/src/setupProxy.js
new file mode 100644
index 0000000..da75db0
--- /dev/null
+++ b/client/src/setupProxy.js
@@ -0,0 +1,14 @@
+const { createProxyMiddleware } = require('http-proxy-middleware');
+
+module.exports = (app) => {
+ app.use(
+ createProxyMiddleware({
+ target: 'http://127.0.0.1:8000',
+ changeOrigin: true,
+ pathFilter: (path) =>
+ path.startsWith('/api') ||
+ path.startsWith('/static/uploads') ||
+ path.startsWith('/static/explain'),
+ })
+ );
+};
\ No newline at end of file
diff --git a/client/src/setupTests.js b/client/src/setupTests.js
new file mode 100644
index 0000000..8f2609b
--- /dev/null
+++ b/client/src/setupTests.js
@@ -0,0 +1,5 @@
+// jest-dom adds custom jest matchers for asserting on DOM nodes.
+// allows you to do things like:
+// expect(element).toHaveTextContent(/react/i)
+// learn more: https://github.com/testing-library/jest-dom
+import '@testing-library/jest-dom';
diff --git a/client/vercel.json b/client/vercel.json
new file mode 100644
index 0000000..301b9f7
--- /dev/null
+++ b/client/vercel.json
@@ -0,0 +1,20 @@
+{
+ "rewrites": [
+ {
+ "source": "/api/:path*",
+ "destination": "https://lagging-pavilion-skyrocket.ngrok-free.dev/api/:path*"
+ },
+ {
+ "source": "/static/uploads/:path*",
+ "destination": "https://lagging-pavilion-skyrocket.ngrok-free.dev/static/uploads/:path*"
+ },
+ {
+ "source": "/static/explain/:path*",
+ "destination": "https://lagging-pavilion-skyrocket.ngrok-free.dev/static/explain/:path*"
+ },
+ {
+ "source": "/:path*",
+ "destination": "/index.html"
+ }
+ ]
+}
\ No newline at end of file
diff --git a/deepguard/MS_EffGCViT.md b/deepguard/MS_EffGCViT.md
index d520bf6..bfaee2c 100644
--- a/deepguard/MS_EffGCViT.md
+++ b/deepguard/MS_EffGCViT.md
@@ -14,7 +14,8 @@ This Repository presents the PyTorch implementation of **Multi Scale Efficient G
This model is a **frame-level** and **spatial-domain** architecture, designed to perform classification tasks on both **static images** and **video sequences**
-
+
+
## 💥 News 💥
@@ -27,28 +28,44 @@ This model is a **frame-level** and **spatial-domain** architecture, designed to
## Model Performance
-MS_Eff_GCViT achieves state-of-the-art(SOTA) results across deepfake video classification. On Celeb_DF(v2) dataset, MS_EFF_GCViT variants with `8.7M`, `50.3M` parameters achieve `0.9842`, `0.9981` Accuracy. Notably, the MS_EFF_GCViT_B0 variant demonstrates exceptional efficiency, matching or exceeding SOTA performance even with a siginificantly lower parameter
+**MS-EFF-GCViT achieves state-of-the-art (SOTA) results across three DeepFake benchmarks.**
+The model ships in two variants from a single architecture — **Fast (b0)** for real-time / edge
+deployment and **Pro (b5)** for enterprise-grade accuracy. Notably, **Fast** matches or exceeds
+much larger SOTA models while using a fraction of the parameters and compute.
+
+
+
+
+> On **Celeb-DF(v2)**, Pro reaches **0.9981 Acc** (rank #1) and Fast **0.9842** (rank #3) among 20 architectures.
+> On the **KoDF competition** leaderboard, Pro ranks **#1** and Fast **#4** out of 49 entries.
-### Test Result of Celeb_DF(v2)
+
+📊 Celeb-DF (v2) — Accuracy & Efficiency
+
+
-
+
-Test Result of FaceForensics++
-
+📊 FaceForensics++ — Accuracy & Efficiency
+
+
+
-Test Result of KoDF
-
+📊 KoDF Competition — Accuracy Ranking
+
+
+
## Model Indroduction
Multi Scale Efficient Global Context Vision Transformer is an optimized multi-scale hybrid architecture that integrates CNN-driven spatial inductive bias with hierarchical attention mechanisms to effectively identify subtle(local) artifacts and macro(global) artifacts for robust deepfake forensics."
-
+
### Part 1: CNN-based Patch Embedding for Spatial Inductive Bias
@@ -61,7 +78,7 @@ While traditional Vision Transformers (ViTs) utilize a Linear Projection for pat
We utilizes two distinct types of self-attention to capture both long-range and short-range information across feature maps.
-
+
- **Local Window Attention**: this model efficiently captures local textures and precise spatial details while maintaining linear computational complexity relative to the image size.
@@ -77,6 +94,8 @@ While both **Xception** and **EfficientNet** show great results on DeepFake benc
### Part 4: Multi-Scale Feature Map Fusion
+
+
Modern DeepFakes can leave very localized forgery region. To Capture this, we adopts a **multi-scale strategy** by extracting features from different levels of the backbone.
- ** (_Subtle Artifacts_)**: High-Resolution feature maps are extracted from early backbone blocks(`l_block_idx`) to capture like skin texture or boundary artifacts
@@ -151,7 +170,8 @@ You can load the models directly via the `DeepGuard` package or through the `tim
**Installation**
```bash
-pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+# pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+pip install deepguard
```
@@ -172,4 +192,20 @@ import deepguard
model = timm.create_model("ms_eff_gcvit_b0", pretrained=True, dataset="ff++")
model = timm.create_model("ms_eff_gcvit_b5", pretrained=True, dataset="kodf")
-```
\ No newline at end of file
+```
+
+## 📊 Visual Results
+
+### MS-EFF-GCVIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  |
|
|
|
|
+| **🔥 ms-eff-gcvit-b5** |  |
|
|
|
|
+
+### MS-Eff-GCViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-gcvit-b0** |  |
|
|
|
|
+| **🔥 ms-eff-gcvit-b5** |  |
|
|
|
|
diff --git a/deepguard/MS_EffViT.md b/deepguard/MS_EffViT.md
index 0964c1b..b9e2918 100644
--- a/deepguard/MS_EffViT.md
+++ b/deepguard/MS_EffViT.md
@@ -12,6 +12,8 @@ This Repository presents the PyTorch implementation of **Multi Scale Efficient V
This model is a **frame-level** and **spatial-domain** architecture, designed to perform classification tasks on both **static images** and **video sequences**
+
+
## 💥 News 💥
- [**02.03.2026**] 🔥🔥 We have released **FaceForensics++** fine-tuned **MS-Eff-ViT B5** model weightes for **384X384**
@@ -21,18 +23,32 @@ This model is a **frame-level** and **spatial-domain** architecture, designed to
## Model Performance
-MS_Eff_ViT achieves state-of-the-art(SOTA) results across deepfake video classification. On Celeb_DF(v2) dataset, MS_EFF_GCViT variants with `5.9M`, `52.0M` parameters achieve `0.9742`, `0.9900` Accuracy. Notably, the MS_EFF_ViT_B0 variant demonstrates exceptional efficiency, matching or exceeding SOTA performance even with a siginificantly lower parameter
+**MS-EFF-ViT achieves state-of-the-art (SOTA) results across two DeepFake benchmarks.**
+The model ships in two variants from a single architecture — **Fast (b0)** for real-time / edge
+deployment and **Pro (b5)** for enterprise-grade accuracy. Notably, **Fast** matches or exceeds
+much larger SOTA models while using a fraction of the parameters and compute.
+
+
+
+
+
+> On **Celeb-DF(v2)**, Pro reaches **0.9900 Acc** (rank #2) and Fast **0.9742** (rank #4) among 20 architectures.
-### Test Result of Celeb_DF(v2)
+
+📊 Celeb-DF (v2) — Accuracy & Efficiency
+
+
-
+
-Test Result of FaceForensics++
-
+📊 FaceForensics++ — Accuracy & Efficiency
+
+
+
## Model Introduction
Multi Scale Efficient Vision Transformer is an optimized multi-scale hybrid architecture that integrates CNN-driven spatial inductive bias with self-attention mechanisms to effectively identify subtle(local) artifacts and macro(global) artifacts for robust deepfake forensics."
@@ -120,7 +136,8 @@ You can load the models directly via the `DeepGuard` package or through the `tim
**Installation**
```bash
-pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+# pip install -U git+https://github.com/HanMoonSub/DeepGuard.git
+pip install deepguard
```
@@ -141,4 +158,20 @@ import deepguard
model = timm.create_model("ms_eff_vit_b0", pretrained=True, dataset="celeb_df_v2")
model = timm.create_model("ms_eff_vit_b5", pretrained=True, dataset="ff++")
-```
\ No newline at end of file
+```
+
+## 📊 Visual Results
+
+### MS-EFF-VIT — Low-Level Branch
+
+| Model | Branch-Level | Image | HiresCam | GradCamElementwise | LayerCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  |
|
|
|
|
+| **🔥 ms-eff-vit-b5** |  |
|
|
|
|
+
+### MS-Eff-ViT — High-Level Branch
+
+| Model | Branch-Level | Image | EigenGradCam | GradCamPlusPlus | XGradCam |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **⚡ ms-eff-vit-b0** |  |
|
|
|
|
+| **🔥 ms-eff-vit-b5** |  |
|
|
|
|
diff --git a/deepguard/__init__.py b/deepguard/__init__.py
index 34bc887..b6ba0aa 100644
--- a/deepguard/__init__.py
+++ b/deepguard/__init__.py
@@ -1,2 +1,28 @@
-from .layers import *
-from .models import *
\ No newline at end of file
+import warnings
+import logging
+
+# ------- 로그 및 경고 제어 ---------
+warnings.filterwarnings("ignore") # 일반 경고 숨기기
+logging.getLogger("timm").setLevel(logging.ERROR) # timm 내부 로그 숨기기
+logging.getLogger("torch").setLevel(logging.ERROR) # torch 관련 로그 숨기기
+
+from .models import ms_eff_vit, ms_eff_gcvit
+from .models.ms_eff_vit import (
+ MultiScaleEffViT,
+ ms_eff_vit_b0,
+ ms_eff_vit_b5,
+)
+from .models.ms_eff_gcvit import (
+ MultiScaleEffGCViT,
+ ms_eff_gcvit_b0,
+ ms_eff_gcvit_b5,
+)
+
+__all__ = [
+ "MultiScaleEffViT",
+ "ms_eff_vit_b0",
+ "ms_eff_vit_b5",
+ "MultiScaleEffGCViT",
+ "ms_eff_gcvit_b0",
+ "ms_eff_gcvit_b5",
+]
\ No newline at end of file
diff --git a/deepguard/models/__init__.py b/deepguard/models/__init__.py
index f292971..e69de29 100644
--- a/deepguard/models/__init__.py
+++ b/deepguard/models/__init__.py
@@ -1,11 +0,0 @@
-from . import ms_eff_vit, ms_eff_gcvit
-from .ms_eff_vit import (
- MultiScaleEffViT,
- ms_eff_vit_b0,
- ms_eff_vit_b5,
-)
-from .ms_eff_gcvit import (
- MultiScaleEffGCViT,
- ms_eff_gcvit_b0,
- ms_eff_gcvit_b5,
-)
\ No newline at end of file
diff --git a/docs/architectures/dual_branch.gif b/docs/architectures/dual_branch.gif
new file mode 100644
index 0000000..1ad1713
Binary files /dev/null and b/docs/architectures/dual_branch.gif differ
diff --git a/docs/architectures/high_branch.gif b/docs/architectures/high_branch.gif
new file mode 100644
index 0000000..edc2e81
Binary files /dev/null and b/docs/architectures/high_branch.gif differ
diff --git a/docs/architectures/low_branch.gif b/docs/architectures/low_branch.gif
new file mode 100644
index 0000000..4bcfb7f
Binary files /dev/null and b/docs/architectures/low_branch.gif differ
diff --git a/docs/architectures/ms_eff_gcvit.JPG b/docs/architectures/ms_eff_gcvit.JPG
new file mode 100644
index 0000000..14af884
Binary files /dev/null and b/docs/architectures/ms_eff_gcvit.JPG differ
diff --git a/Images/window_attention.JPG b/docs/architectures/window_attention.JPG
similarity index 100%
rename from Images/window_attention.JPG
rename to docs/architectures/window_attention.JPG
diff --git a/docs/benchmarks/celeb_df_v2_gcvit.png b/docs/benchmarks/celeb_df_v2_gcvit.png
new file mode 100644
index 0000000..7719047
Binary files /dev/null and b/docs/benchmarks/celeb_df_v2_gcvit.png differ
diff --git a/docs/benchmarks/celeb_df_v2_gcvit_2.png b/docs/benchmarks/celeb_df_v2_gcvit_2.png
new file mode 100644
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diff --git a/explainability/__init__.py b/explainability/__init__.py
new file mode 100644
index 0000000..b547123
--- /dev/null
+++ b/explainability/__init__.py
@@ -0,0 +1,13 @@
+from explainability.explainer.base_explainer import BaseExplainer
+from explainability.explainer.cam_explainer import CAMExplainer
+from explainability.explainer.gradient_explainer import (
+ GradCAMExplainer, GradCAMPlusPlusExplainer, GradCAMElementWiseExplainer,
+ XGradCAMExplainer, HiResCAMExplainer
+)
+from explainability.explainer.eigenvalue_explainer import (
+ EigenCAMExplainer, EigenGradCAMExplainer, KPCACAMExplainer
+)
+from explainability.explainer.perturbation_explainer import (
+ ScoreCAMExplainer, FEMExplainer
+)
+from explainability.explainer.misc_explainer import LayerCAMExplainer
\ No newline at end of file
diff --git a/explainability/cam_evaluator.py b/explainability/cam_evaluator.py
new file mode 100644
index 0000000..d215def
--- /dev/null
+++ b/explainability/cam_evaluator.py
@@ -0,0 +1,48 @@
+import numpy as np
+import torch
+from typing import List, Dict, Literal
+from explainability.utils.model_targets import BinaryClassifierOutputSigmoidTarget
+from explainability.explainer.cam_explainer import CAMExplainer
+from explainability.metrics.road import (
+ ROADLeastRelevantFirstAverage, ROADMostRelevantFirstAverage,
+ ROADCombined
+)
+
+METRIC_REGISTRY = {
+ "MORF": ROADMostRelevantFirstAverage,
+ "LERF": ROADLeastRelevantFirstAverage,
+ "Combined": ROADCombined,
+}
+
+class CAMEvaluator:
+ def __init__(self,
+ cam_explainer: CAMExplainer,
+ cam_metric: Literal["Combined", "MORF", "LERF"] = "Combined", # Combined, MORF, LERF
+ percentiles: List[int] = [10,20,30,40,50,60,70,80,90],
+ seed: int = 2026
+ ):
+ self.seed = seed
+ self.cam_explainer = cam_explainer
+ self.cam_metric_name = cam_metric
+ self.percentiles = percentiles
+ self.cam_metric = METRIC_REGISTRY[cam_metric](percentiles)
+
+ def evaluate(self, img_path: str) -> float:
+ torch.manual_seed(self.seed)
+ np.random.seed(self.seed)
+
+ grayscale_cam, tensor, _ = self.cam_explainer._build_grayscale_cam(img_path)
+ targets = [BinaryClassifierOutputSigmoidTarget()]
+
+ return self.cam_metric(
+ input_tensor = tensor, # (1,C,H,W)
+ cams = grayscale_cam[np.newaxis, ...], #(1,H,W)
+ targets = targets,
+ model = self.cam_explainer.model,
+ )[0]
+
+ def __repr__(self):
+ return (
+ f"CAMEvaluator(explainer={self.cam_explainer.__class__.__name__}, "
+ f"metric={self.cam_metric_name}, percentiles={self.percentiles})"
+ )
\ No newline at end of file
diff --git a/explainability/explainer/base_explainer.py b/explainability/explainer/base_explainer.py
new file mode 100644
index 0000000..dc4fc62
--- /dev/null
+++ b/explainability/explainer/base_explainer.py
@@ -0,0 +1,194 @@
+import cv2
+import timm
+import torch
+import numpy as np
+from pathlib import Path
+from typing import List, Optional, Tuple, Literal, Callable
+from preprocess.face_detector import FaceDetector2
+from deepguard.data import get_test_transforms
+from explainability.utils.reshape_transforms import reshape_transform_vit, reshape_transform_gcvit
+
+class BaseExplainer:
+ def __init__(
+ self,
+ model_name: Literal["ms_eff_vit_b0", "ms_eff_vit_b5", "ms_eff_gcvit_b0", "ms_eff_gcvit_b5"],
+ dataset: Literal["celeb_df_v2", "ff++", "kodf"],
+ margin_ratio: float = 0.2,
+ conf_thres: float = 0.5,
+ branch_level: Literal["low", "high"] = "high",
+ l_stage_idx: int = -1, # gcvit low branch stage index (0~3)
+ block_idx: int = -1, # vit, gcvit block index
+ ):
+
+ self.device = "cuda:0" if torch.cuda.is_available() else 'cpu'
+ self.margin_ratio = margin_ratio
+ self.conf_thres = conf_thres
+ self.model_name = model_name
+ self.dataset = dataset
+ self.branch_level = branch_level
+ self.l_stage_idx = l_stage_idx
+ self.block_idx = block_idx
+
+ # Parse Model Metadata
+ self.model_variant = model_name.split("_")[-1] # b0, b5
+ self.transformer_type = model_name.split("_")[-2] # vit, gcvit
+
+ # Model & Tools setup
+ self.model = timm.create_model(model_name, pretrained=True, dataset=dataset)
+ self.face_detector = FaceDetector2(conf_thres)
+ self.img_size = [224,224] if self.model_variant == "b0" else [384,384]
+ self.transforms = get_test_transforms(img_size=self.img_size)
+
+ self.model.to(self.device).eval()
+
+ # Explainability setup
+ self.reshape_fn = self._get_reshape_fn()
+ self.target_layers = self._resolve_target_layers()
+
+ def _get_reshape_fn(self) -> Callable[[torch.Tensor], torch.Tensor]:
+ """모델 종류에 맞는 Feature map reshape 함수를 반환한다.
+
+ Returns:
+ Callable: 3D/4D 텐서를 GradCAM 연산에 적합한 형태로 변환하는 함수.
+ """
+ return reshape_transform_vit if self.transformer_type == "vit" else reshape_transform_gcvit
+
+ def _resolve_target_layers(self) -> list[torch.nn.Module]:
+ """시각화(XAI)의 대상이 될 Target Layer들을 선택한다.
+
+ Returns:
+ list[torch.nn.Module]: 분석 대상 정규화(Normalization) 레이어 리스트.
+
+ Raises:
+ ValueError: l_stage_idx나 block_idx가 모델 범위를 벗어날 경우 발생.
+ """
+ layers = []
+
+ if self.transformer_type == "gcvit":
+ n_stages = len(self.model.l_gcvit.stages)
+ stage_idx = self.l_stage_idx if self.l_stage_idx >= 0 else n_stages + self.l_stage_idx
+
+ if not (0 <= stage_idx < n_stages):
+ raise ValueError(f"l_stage_idx={self.l_stage_idx} 범위 초과 (stage 수: {n_stages})")
+
+ if self.branch_level in ("low", "both"):
+ n_blocks = len(self.model.l_gcvit.stages[stage_idx].blocks)
+ blk = self._resolve_block_idx(self.block_idx, n_blocks, f"l_gcvit stage[{stage_idx}]")
+ layers.append(self.model.l_gcvit.stages[stage_idx].blocks[blk].norm2)
+
+ if self.branch_level in ("high", "both"):
+ n_blocks = len(self.model.h_gcvit.stages[0].blocks)
+ blk = self._resolve_block_idx(self.block_idx, n_blocks, "h_gcvit stage[0]")
+ layers.append(self.model.h_gcvit.stages[0].blocks[blk].norm2)
+
+ else: # vit
+ if self.branch_level in ("low", "both"):
+ n_blocks = len(self.model.l_vit.blocks)
+ blk = self._resolve_block_idx(self.block_idx, n_blocks, "l_vit")
+ layers.append(self.model.l_vit.blocks[blk].norm1)
+
+ if self.branch_level in ("high", "both"):
+ n_blocks = len(self.model.h_vit.blocks)
+ blk = self._resolve_block_idx(self.block_idx, n_blocks, "h_vit")
+ layers.append(self.model.h_vit.blocks[blk].norm1)
+
+ return layers
+
+ @staticmethod
+ def _resolve_block_idx(block_idx: int, n_blocks: int, name: str) -> int:
+ """음수 인덱싱을 지원하며, 해당 블록의 유효한 인덱스를 계산 및 검증한다.
+
+ Args:
+ block_idx (int): 접근하려는 블록 인덱스 (음수 가능).
+ n_blocks (int): 해당 스테이지/모델의 총 블록 개수.
+ name (str): 에러 메시지 출력용 모듈 이름.
+
+ Returns:
+ int: 정제된 양수 형태의 블록 인덱스.
+
+ Raises:
+ ValueError: 인덱스가 유효 범위를 벗어난 경우 발생.
+ """
+ idx = block_idx if block_idx >= 0 else n_blocks + block_idx
+ if not (0 <= idx < n_blocks):
+ raise ValueError(f"block_idx={block_idx} 범위 초과 ({name} block 수: {n_blocks})")
+ return idx
+
+ def _get_face_bbox(self, img: np.ndarray) -> List[float]:
+ """얼굴 탐지기(YOLO)를 통해 이미지에서 얼굴 바운딩 박스를 좌표를 추출한다.
+
+ Args:
+ img (np.ndarray): HWC 형태의 RGB 이미지 데이터.
+
+ Returns:
+ list[float]: [xmin, ymin, xmax, ymax, confidence] 형태의 좌표 리스트.
+ """
+ result = self.face_detector.detect_batch([img], [1.0])
+ return result[0]
+
+ def _crop_face(self, img: np.ndarray, bbox: List[float]) -> np.ndarray:
+ """마진 비율을 고려하여 바운딩 박스 기준으로 얼굴 영역을 크롭한다.
+
+ Args:
+ img (np.ndarray): 전체 원본 이미지.
+ bbox (list[float]): 탐지된 [xmin, ymin, xmax, ymax] 얼굴 좌표.
+
+ Returns:
+ np.ndarray: 크롭된 얼굴 이미지 영역.
+ """
+ xmin, ymin, xmax, ymax = bbox
+ h, w = img.shape[:2]
+ pw = int((xmax - xmin) * self.margin_ratio)
+ ph = int((ymax - ymin) * self.margin_ratio)
+ return img[
+ max(int(ymin - ph), 0) : min(int(ymax + ph), h),
+ max(int(xmin - pw), 0) : min(int(xmax + pw), w),
+ ]
+
+ def _preprocess_img(self, img_path: str) -> np.ndarray:
+ """이미지 경로를 읽어 얼굴을 탐지하고 크롭하는 전과정을 수행한다.
+
+ Args:
+ img_path (str): 입력 이미지 파일 경로.
+
+ Returns:
+ np.ndarray: 전처리가 완료된 크롭된 얼굴 이미지 (RGB).
+ """
+ img = cv2.imread(img_path)
+ img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+ detect_result = self._get_face_bbox(img)
+ bbox = detect_result[:4]
+ cropped = self._crop_face(img, bbox)
+ return cropped
+
+ def _get_transform(self, img_path: str) -> tuple[np.ndarray, torch.Tensor]:
+ """이미지 경로를 받아 크롭 이미지와 모델 입력용 텐서를 동시에 생성한다.
+
+ Args:
+ img_path (str): 입력 이미지 파일 경로.
+
+ Returns:
+ tuple[np.ndarray, torch.Tensor]: (크롭된 얼굴 이미지, (1, 3, H, W) 형태의 배치 텐서).
+ """
+ face = self._preprocess_img(img_path)
+ tensor = self.transforms(image=face)['image'].unsqueeze(0) # (1,3,H,W)
+ return face, tensor
+
+ def _get_transform_from_array(self, face: np.ndarray) -> tuple[np.ndarray, torch.Tensor]:
+ """이미 크롭된 얼굴 배열을 받아 모델 입력용 텐서로 변환한다.
+
+ Args:
+ face (np.ndarray): 이미 잘려진 얼굴 이미지 배열 (RGB).
+
+ Returns:
+ tuple[np.ndarray, torch.Tensor]: (원본 얼굴 이미지, (1, 3, H, W) 형태의 배치 텐서).
+ """
+ tensor = self.transforms(image=face)['image'].unsqueeze(0) # (1,3,H,W)
+ return face, tensor
+
+ def __repr__(self):
+ return (f"{self.__class__.__name__}("
+ f"model={self.model_name}, dataset={self.dataset}, "
+ f"margin_ratio={self.margin_ratio}, conf_thres={self.conf_thres}, "
+ f"branch_level={self.branch_level}, l_stage_idx={self.l_stage_idx}, block_idx={self.block_idx},"
+ f"device={self.device})")
\ No newline at end of file
diff --git a/explainability/explainer/cam_explainer.py b/explainability/explainer/cam_explainer.py
new file mode 100644
index 0000000..6ea15bb
--- /dev/null
+++ b/explainability/explainer/cam_explainer.py
@@ -0,0 +1,319 @@
+from typing import Union, Literal
+import torch
+import cv2
+import numpy as np
+from abc import ABC, abstractmethod
+from explainability.utils.model_targets import BinaryClassifierOutputTarget
+from explainability.utils.image import (
+ show_cam_on_image, show_bbox_on_image,
+ remove_padding_and_resize, draw_label
+)
+from explainability.explainer.base_explainer import BaseExplainer
+
+class CAMExplainer(BaseExplainer, ABC):
+ def __init__(self, **kwargs):
+ super().__init__(**kwargs)
+ self.cam = self._build_cam()
+
+ @abstractmethod
+ def _build_cam(self) -> any:
+ """하위 클래스에서 각 알고리즘(GradCAM, HiResCAM 등)에 맞는 CAM 객체를 생성한다.
+
+ Returns:
+ Any: pytorch-grad-cam 패키지의 CAM 기반 인스턴스.
+ """
+ pass
+
+ def _build_grayscale_cam(self, img_path: str,
+ category: int = 1,
+ aug_smooth: bool = False,
+ eigen_smooth: bool = False) -> tuple[np.ndarray, torch.Tensor, np.ndarray]:
+ """이미지 경로를 받아 전처리를 수행하고 raw 흑백(Grayscale) CAM을 생성한다.
+
+ Args:
+ img_path (str): 입력 이미지 파일 경로.
+ category (int, optional): 타겟 클래스 인덱스 (위조: 1, 정상: 0). Defaults to 1.
+ aug_smooth (bool, optional): Test-time augmentation 가동 여부. Defaults to False.
+ eigen_smooth (bool, optional): PCA 기반 노이즈 제거 가동 여부. Defaults to False.
+
+ Returns:
+ tuple[np.ndarray, torch.Tensor, np.ndarray]:
+ - grayscale_cam: (H, W) 형태의 0~1 사이로 정규화된 CAM 맵.
+ - tensor: (1, 3, H_model, W_model) 형태의 모델 입력용 GPU 텐서.
+ - face: 크롭된 원본 얼굴 이미지 배열 (RGB).
+ """
+
+ face, tensor = self._get_transform(img_path)
+ tensor = tensor.to(self.device)
+ targets = [BinaryClassifierOutputTarget(category)]
+
+ grayscale_cam = self.cam(
+ input_tensor=tensor,
+ targets=targets,
+ aug_smooth=aug_smooth,
+ eigen_smooth=eigen_smooth,
+ )
+ return grayscale_cam[0], tensor, face
+
+ def _build_grayscale_cam_from_array(self,
+ face: np.ndarray,
+ category: int = 1,
+ aug_smooth: bool = False,
+ eigen_smooth: bool = False) -> tuple[np.ndarray, torch.Tensor, np.ndarray]:
+ """이미 크롭된 얼굴 이미지 배열로부터 raw 흑백(Grayscale) CAM을 생성한다.
+
+ Args:
+ face (np.ndarray): 전처리(크롭)가 완료된 얼굴 이미지 배열 (RGB).
+ category (int, optional): 타겟 클래스 인덱스. Defaults to 1.
+ aug_smooth (bool, optional): Test-time augmentation 가동 여부. Defaults to False.
+ eigen_smooth (bool, optional): PCA 기반 노이즈 제거 가동 여부. Defaults to False.
+
+ Returns:
+ tuple[np.ndarray, torch.Tensor, np.ndarray]:
+ - grayscale_cam: (H, W) 형태의 0~1 사이로 정규화된 CAM 맵.
+ - tensor: (1, 3, H_model, W_model) 형태의 모델 입력용 GPU 텐서.
+ - face: 입력받은 원본 얼굴 이미지 배열.
+ """
+ face, tensor = self._get_transform_from_array(face)
+ tensor = tensor.to(self.device)
+ targets = [BinaryClassifierOutputTarget(category)]
+
+ grayscale_cam = self.cam(
+ input_tensor=tensor,
+ targets=targets,
+ aug_smooth=aug_smooth,
+ eigen_smooth=eigen_smooth,
+ )
+ return grayscale_cam[0], tensor, face
+
+ def _prepare_cam(self, img_path: str,
+ category: int = 1,
+ aug_smooth: bool = False,
+ eigen_smooth: bool = False) -> tuple[np.ndarray, np.ndarray]:
+ """흑백 CAM을 생성하고, 모델 입력 시 발생한 패딩 제거 및 원래 얼굴 해상도로 복원한다.
+
+ Args:
+ img_path (str): 입력 이미지 파일 경로.
+ category (int, optional): 타겟 클래스 인덱스. Defaults to 1.
+ aug_smooth (bool, optional): Test-time augmentation 가동 여부. Defaults to False.
+ eigen_smooth (bool, optional): PCA 기반 노이즈 제거 가동 여부. Defaults to False.
+
+ Returns:
+ tuple[np.ndarray, np.ndarray]:
+ - cam_recovered: 원본 얼굴 크기로 복원된 CAM 맵 (H_face, W_face).
+ - face: 크롭된 원본 얼굴 이미지 배열 (RGB).
+ """
+ grayscale_cam, tensor, face = self._build_grayscale_cam(img_path, category, aug_smooth, eigen_smooth)
+ cam_recovered = remove_padding_and_resize(grayscale_cam, face.shape, tensor.shape)
+ return cam_recovered, face
+
+ def _prepare_cam_from_array(self, face: np.ndarray,
+ category: int = 1,
+ aug_smooth: bool = False,
+ eigen_smooth: bool = False) -> tuple[np.ndarray, np.ndarray]:
+ """얼굴 배열로부터 흑백 CAM을 생성하고 원래 얼굴 해상도로 복원한다.
+
+ Args:
+ face (np.ndarray): 전처리(크롭)가 완료된 얼굴 이미지 배열 (RGB).
+ category (int, optional): 타겟 클래스 인덱스. Defaults to 1.
+ aug_smooth (bool, optional): Test-time augmentation 가동 여부. Defaults to False.
+ eigen_smooth (bool, optional): PCA 기반 노이즈 제거 가동 여부. Defaults to False.
+
+ Returns:
+ tuple[np.ndarray, np.ndarray]:
+ - cam_recovered: 원본 얼굴 크기로 복원된 CAM 맵 (H_face, W_face).
+ - face: 입력받은 원본 얼굴 이미지 배열.
+ """
+ grayscale_cam, tensor, face = self._build_grayscale_cam_from_array(face, category, aug_smooth, eigen_smooth)
+ cam_recovered = remove_padding_and_resize(grayscale_cam, face.shape, tensor.shape)
+ return cam_recovered, face
+
+ def _get_binary_mask(self, cam: np.ndarray, threshold: Union[float, Literal["auto"]]) -> np.ndarray:
+ """입력된 CAM 맵을 기반으로 위조 유력 부위를 이진화(Binary Mask)한다.
+
+ Args:
+ cam (np.ndarray): 0~1 사이 값을 가진 복원된 CAM 맵.
+ threshold (Union[float, 'auto']):
+ - float (0.0~1.0): 상위 백분위수 기준으로 임계값 설정 (예: 0.7 이면 상위 30% 영역 선택).
+ - 'auto': Otsu 알고리즘을 사용해 최적의 임계값을 자동으로 계산.
+
+ Returns:
+ np.ndarray: 0 또는 255 값을 가지는 이진화 마스크 맵 (np.uint8).
+ """
+ if threshold != 'auto':
+ t = np.percentile(cam, threshold * 100)
+ binary_mask = (cam > t).astype(np.uint8) * 255
+ else:
+ _, binary_mask = cv2.threshold(
+ np.uint8(cam * 255), 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU
+ )
+ return binary_mask
+
+ def display_heatmap_on_image(self, img_path: str, **kwargs) -> np.ndarray:
+ """이미지 경로를 입력받아 원본 얼굴 위에 위조 흔적 히트맵을 중첩한 이미지를 생성한다.
+
+ Args:
+ img_path (str): 입력 이미지 파일 경로.
+ **kwargs:
+ category (int): 타겟 클래스 인덱스 (기본값: 1).
+ aug_smooth (bool): Test-time augmentation 가동 여부 (기본값: False).
+ eigen_smooth (bool): PCA 기반 노이즈 제거 가동 여부 (기본값: False).
+ threshold (float | str): 이진화 임계값 (기본값: "auto").
+ colormap (int): OpenCV 컬러맵 상수 (기본값: cv2.COLORMAP_JET).
+ image_weight (float): 원본 이미지 불투명도 가중치 (기본값: 0.5).
+
+ Returns:
+ np.ndarray: 히트맵이 합성된 얼굴 이미지 (RGB, np.uint8).
+ """
+ cam_recovered, face = self._prepare_cam(
+ img_path,
+ category = kwargs.get("category", 1),
+ aug_smooth = kwargs.get("aug_smooth", False),
+ eigen_smooth = kwargs.get("eigen_smooth", False))
+
+ binary_mask = self._get_binary_mask(cam_recovered, kwargs.get("threshold", "auto"))
+ cam_recovered = np.where(binary_mask > 0, cam_recovered, 0.0)
+
+ return show_cam_on_image(
+ np.float32(face) / 255.0,
+ cam_recovered,
+ use_rgb = True,
+ colormap = kwargs.get("colormap", cv2.COLORMAP_JET),
+ image_weight = kwargs.get("image_weight", 0.5),
+ )
+
+ def display_heatmap_from_array(self, face: np.ndarray, **kwargs) -> np.ndarray:
+ """얼굴 배열을 직접 입력받아 원본 얼굴 위에 위조 흔적 히트맵을 중첩한 이미지를 생성한다.
+
+ Args:
+ face (np.ndarray): 전처리(크롭)가 완료된 얼굴 이미지 배열 (RGB).
+ **kwargs:
+ category (int): 타겟 클래스 인덱스 (기본값: 1).
+ aug_smooth (bool): Test-time augmentation 가동 여부 (기본값: False).
+ eigen_smooth (bool): PCA 기반 노이즈 제거 가동 여부 (기본값: False).
+ threshold (float | str): 이진화 임계값 (기본값: "auto").
+ colormap (int): OpenCV 컬러맵 상수 (기본값: cv2.COLORMAP_JET).
+ image_weight (float): 원본 이미지 불투명도 가중치 (기본값: 0.5).
+
+ Returns:
+ np.ndarray: 히트맵이 합성된 얼굴 이미지 (RGB, np.uint8).
+ """
+
+ cam_recovered, face = self._prepare_cam_from_array(
+ face,
+ category = kwargs.get("category", 1),
+ aug_smooth = kwargs.get("aug_smooth", False),
+ eigen_smooth = kwargs.get("eigen_smooth", False))
+
+ binary_mask = self._get_binary_mask(cam_recovered, kwargs.get("threshold", "auto"))
+ cam_recovered = np.where(binary_mask > 0, cam_recovered, 0.0)
+
+ return show_cam_on_image(
+ np.float32(face) / 255.0,
+ cam_recovered,
+ use_rgb = True,
+ colormap = kwargs.get("colormap", cv2.COLORMAP_JET),
+ image_weight = kwargs.get("image_weight", 0.5),
+ )
+
+ def display_bbox_on_image(self, img_path: str, **kwargs) -> np.ndarray:
+ """이미지 경로를 입력받아 위조 의심 부위를 찾아 사각형 바운딩 박스와 확률을 그린다.
+
+ Args:
+ img_path (str): 입력 이미지 파일 경로.
+ **kwargs:
+ category (int): 타겟 클래스 인덱스 (기본값: 1).
+ aug_smooth (bool): Test-time augmentation 가동 여부 (기본값: False).
+ eigen_smooth (bool): PCA 기반 노이즈 제거 가동 여부 (기본값: False).
+ threshold (float | str): 이진화 임계값 (기본값: "auto").
+ thickness (int): 사각형 선 굵기 (기본값: 2).
+
+ Returns:
+ np.ndarray: 바운딩 박스와 어노테이션이 추가된 원본 얼굴 이미지 (RGB).
+ """
+ cam_recovered, face = self._prepare_cam(
+ img_path,
+ category = kwargs.get("category", 1),
+ aug_smooth = kwargs.get("aug_smooth", False),
+ eigen_smooth = kwargs.get("eigen_smooth", False)
+ )
+
+ annotated_img = face.copy()
+
+ binary_mask = self._get_binary_mask(cam_recovered, kwargs.get("threshold", "auto"))
+ show_bbox_on_image(annotated_img, cam_recovered, binary_mask, kwargs.get("thickness", 1))
+
+ return annotated_img
+
+ def display_bbox_from_array(self, face: np.ndarray, **kwargs) -> np.ndarray:
+ """얼굴 배열을 직접 입력받아 위조 의심 부위를 찾아 사각형 바운딩 박스와 확률을 그린다.
+
+ Args:
+ face (np.ndarray): 전처리(크롭)가 완료된 얼굴 이미지 배열 (RGB).
+ **kwargs:
+ category (int): 타겟 클래스 인덱스 (기본값: 1).
+ aug_smooth (bool): Test-time augmentation 가동 여부 (기본값: False).
+ eigen_smooth (bool): PCA 기반 노이즈 제거 가동 여부 (기본값: False).
+ threshold (float | str): 이진화 임계값 (기본값: "auto").
+ thickness (int): 사각형 선 굵기 (기본값: 2).
+
+ Returns:
+ np.ndarray: 바운딩 박스와 어노테이션이 추가된 원본 얼굴 이미지 (RGB).
+ """
+ cam_recovered, face = self._prepare_cam_from_array(
+ face,
+ category = kwargs.get("category", 1),
+ aug_smooth = kwargs.get("aug_smooth", False),
+ eigen_smooth = kwargs.get("eigen_smooth", False)
+ )
+
+ annotated_img = face.copy()
+
+ binary_mask = self._get_binary_mask(cam_recovered, kwargs.get("threshold", "auto"))
+ show_bbox_on_image(annotated_img, cam_recovered, binary_mask, kwargs.get("thickness", 1))
+
+ return annotated_img
+
+ def display_heatmap_bbox_on_image(self, img_path: str, **kwargs) -> np.ndarray:
+ cam_recovered, face = self._prepare_cam(
+ img_path,
+ category = kwargs.get("category", 1),
+ aug_smooth = kwargs.get("aug_smooth", False),
+ eigen_smooth = kwargs.get("eigen_smooth", False)
+ )
+
+ binary_mask = self._get_binary_mask(cam_recovered, kwargs.get("threshold", "auto"))
+ cam_recovered = np.where(binary_mask > 0, cam_recovered, 0.0)
+
+ heatmap = show_cam_on_image(
+ np.float32(face) / 255.0,
+ cam_recovered,
+ use_rgb = True,
+ colormap = kwargs.get("colormap", cv2.COLORMAP_JET),
+ image_weight = kwargs.get("image_weight", 0.5),
+ )
+
+ show_bbox_on_image(heatmap, cam_recovered, binary_mask, kwargs.get("thickness", 1))
+ return heatmap
+
+ def display_heatmap_bbox_from_array(self, face: np.ndarray, **kwargs) -> np.ndarray:
+ cam_recovered, face = self._prepare_cam_from_array(
+ face,
+ category = kwargs.get("category", 1),
+ aug_smooth = kwargs.get("aug_smooth", False),
+ eigen_smooth = kwargs.get("eigen_smooth", False)
+ )
+
+ binary_mask = self._get_binary_mask(cam_recovered, kwargs.get("threshold", "auto"))
+ cam_recovered = np.where(binary_mask > 0, cam_recovered, 0.0)
+
+ heatmap = show_cam_on_image(
+ np.float32(face) / 255.0,
+ cam_recovered,
+ use_rgb = True,
+ colormap = kwargs.get("colormap", cv2.COLORMAP_JET),
+ image_weight = kwargs.get("image_weight", 0.5),
+ )
+
+ show_bbox_on_image(heatmap, cam_recovered, binary_mask, kwargs.get("thickness", 1))
+ return heatmap
\ No newline at end of file
diff --git a/explainability/explainer/eigenvalue_explainer.py b/explainability/explainer/eigenvalue_explainer.py
new file mode 100644
index 0000000..9aa2633
--- /dev/null
+++ b/explainability/explainer/eigenvalue_explainer.py
@@ -0,0 +1,35 @@
+from pytorch_grad_cam import EigenCAM, EigenGradCAM, KPCA_CAM
+from explainability.explainer.cam_explainer import CAMExplainer
+
+class EigenCAMExplainer(CAMExplainer):
+ """
+ Takes the first principle component of the 2D Activations
+ (no class discrimination, but seems to give great results)
+ """
+ def _build_cam(self):
+ return EigenCAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+class EigenGradCAMExplainer(CAMExplainer):
+ """
+ Like EigenCAM but with class discrimination
+ First principle component of Activations*Grad
+ Looks like GradCAM, but cleaner
+ """
+ def _build_cam(self):
+ return EigenGradCAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+class KPCACAMExplainer(CAMExplainer):
+ """
+ Like EigenCAM but with kernel PCA instead of PCA
+ """
+ def __init__(self, kernel: str = "sigmoid", gamma: float = None, **kwargs):
+ self.kernel = kernel # sigmoid | rbf | poly
+ self.gamma = gamma
+ super().__init__(**kwargs)
+
+ def _build_cam(self):
+ return KPCA_CAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn,
+ kernel=self.kernel, gamma=self.gamma)
+
+ def __repr__(self):
+ return super().__repr__().rstrip(")") + f", kernel={self.kernel}, gamma={self.gamma})"
diff --git a/explainability/explainer/gradient_explainer.py b/explainability/explainer/gradient_explainer.py
new file mode 100644
index 0000000..3767fc7
--- /dev/null
+++ b/explainability/explainer/gradient_explainer.py
@@ -0,0 +1,47 @@
+from pytorch_grad_cam import (
+ GradCAM, GradCAMPlusPlus, GradCAMElementWise,
+ XGradCAM, HiResCAM
+)
+from explainability.explainer.cam_explainer import CAMExplainer
+
+
+class GradCAMExplainer(CAMExplainer):
+ """
+ Weight the 2D Activations by the average gradient
+ """
+ def _build_cam(self):
+ return GradCAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+
+class GradCAMPlusPlusExplainer(CAMExplainer):
+ """
+ Like GradCAM but uses second order gradients
+ """
+ def _build_cam(self):
+ return GradCAMPlusPlus(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+class GradCAMElementWiseExplainer(CAMExplainer):
+ """
+ Like GradCAM but element-wise multiply the activations with the gradients then apply a ReLU operation before summing
+ """
+ def _build_cam(self):
+ return GradCAMElementWise(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+
+class XGradCAMExplainer(CAMExplainer):
+ """
+ Like GradCAM but scale the gradients by the normalized activations
+ """
+ def _build_cam(self):
+ return XGradCAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+
+class HiResCAMExplainer(CAMExplainer):
+ """
+ Like GradCAM but element-wise multiply the activations with the gradients; provably guaranteed faithfulness for certain models
+ """
+ def _build_cam(self):
+ return HiResCAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+
+
diff --git a/explainability/explainer/misc_explainer.py b/explainability/explainer/misc_explainer.py
new file mode 100644
index 0000000..85cb38f
--- /dev/null
+++ b/explainability/explainer/misc_explainer.py
@@ -0,0 +1,13 @@
+from pytorch_grad_cam import LayerCAM, RandomCAM
+from explainability.explainer.cam_explainer import CAMExplainer
+
+
+class LayerCAMExplainer(CAMExplainer):
+ """
+ Spatially weight the activations by positive gradients.
+ Works better especially in lower layers
+ """
+ def _build_cam(self):
+ return LayerCAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+
diff --git a/explainability/explainer/perturbation_explainer.py b/explainability/explainer/perturbation_explainer.py
new file mode 100644
index 0000000..cb460aa
--- /dev/null
+++ b/explainability/explainer/perturbation_explainer.py
@@ -0,0 +1,24 @@
+from pytorch_grad_cam import ScoreCAM, FEM
+from explainability.explainer.cam_explainer import CAMExplainer
+class ScoreCAMExplainer(CAMExplainer):
+ """
+ Perbutate the image by the scaled activation
+ mesaure how the output drops
+ """
+ def _build_cam(self):
+ return ScoreCAM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn)
+
+class FEMExplainer(CAMExplainer):
+ """
+ A gradient free method that binarizes activations
+ by an activation > mean + k * std rule
+ """
+ def __init__(self, k: int = 2, **kwargs):
+ self.k = k
+ super().__init__(**kwargs)
+
+ def _build_cam(self):
+ return FEM(model=self.model, target_layers=self.target_layers, reshape_transform=self.reshape_fn, k=self.k)
+
+ def __repr__(self):
+ return super().__repr__().rstrip(")") + f", k={self.k})"
\ No newline at end of file
diff --git a/Attention/.gitkeep b/explainability/metrics/__init__.py
similarity index 100%
rename from Attention/.gitkeep
rename to explainability/metrics/__init__.py
diff --git a/explainability/metrics/cam_mult_image.py b/explainability/metrics/cam_mult_image.py
new file mode 100644
index 0000000..c46751e
--- /dev/null
+++ b/explainability/metrics/cam_mult_image.py
@@ -0,0 +1,37 @@
+import torch
+import numpy as np
+from typing import List, Callable
+from explainability.metrics.perturbation_confidence import PerturbationConfidenceMetric
+
+
+def multiply_tensor_with_cam(input_tensor: torch.Tensor,
+ cam: torch.Tensor):
+ """ Multiply an input tensor (after normalization)
+ with a pixel attribution map
+ """
+ return input_tensor * cam
+
+
+class CamMultImageConfidenceChange(PerturbationConfidenceMetric):
+ def __init__(self):
+ super(CamMultImageConfidenceChange,
+ self).__init__(multiply_tensor_with_cam)
+
+
+class DropInConfidence(CamMultImageConfidenceChange):
+ def __init__(self):
+ super(DropInConfidence, self).__init__()
+
+ def __call__(self, *args, **kwargs):
+ scores = super(DropInConfidence, self).__call__(*args, **kwargs)
+ scores = -scores
+ return np.maximum(scores, 0)
+
+
+class IncreaseInConfidence(CamMultImageConfidenceChange):
+ def __init__(self):
+ super(IncreaseInConfidence, self).__init__()
+
+ def __call__(self, *args, **kwargs):
+ scores = super(IncreaseInConfidence, self).__call__(*args, **kwargs)
+ return np.float32(scores > 0)
\ No newline at end of file
diff --git a/explainability/metrics/perturbation_confidence.py b/explainability/metrics/perturbation_confidence.py
new file mode 100644
index 0000000..211ab8a
--- /dev/null
+++ b/explainability/metrics/perturbation_confidence.py
@@ -0,0 +1,109 @@
+import torch
+import numpy as np
+from typing import List, Callable
+
+import numpy as np
+import cv2
+
+
+class PerturbationConfidenceMetric:
+ def __init__(self, perturbation):
+ self.perturbation = perturbation
+
+ def __call__(self, input_tensor: torch.Tensor,
+ cams: np.ndarray,
+ targets: List[Callable],
+ model: torch.nn.Module,
+ return_visualization=False,
+ return_diff=True):
+
+ if return_diff:
+ with torch.no_grad():
+ outputs = model(input_tensor)
+ scores = [target(output).cpu().numpy()
+ for target, output in zip(targets, outputs)]
+ scores = np.float32(scores)
+
+ batch_size = input_tensor.size(0)
+ perturbated_tensors = []
+ for i in range(batch_size):
+ cam = cams[i]
+ tensor = self.perturbation(input_tensor[i, ...].cpu(),
+ torch.from_numpy(cam))
+ tensor = tensor.to(input_tensor.device)
+ perturbated_tensors.append(tensor.unsqueeze(0))
+ perturbated_tensors = torch.cat(perturbated_tensors)
+
+ with torch.no_grad():
+ outputs_after_imputation = model(perturbated_tensors)
+ scores_after_imputation = [
+ target(output).cpu().numpy() for target, output in zip(
+ targets, outputs_after_imputation)]
+ scores_after_imputation = np.float32(scores_after_imputation)
+
+ if return_diff:
+ result = scores_after_imputation - scores
+ else:
+ result = scores_after_imputation
+
+ if return_visualization:
+ return result, perturbated_tensors
+ else:
+ return result
+
+
+class RemoveMostRelevantFirst:
+ def __init__(self, percentile, imputer):
+ self.percentile = percentile
+ self.imputer = imputer
+
+ def __call__(self, input_tensor, mask):
+ imputer = self.imputer
+ if self.percentile != 'auto':
+ threshold = np.percentile(mask.cpu().numpy(), self.percentile)
+ binary_mask = np.float32(mask < threshold)
+ else:
+ _, binary_mask = cv2.threshold(
+ np.uint8(mask * 255), 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+
+ binary_mask = torch.from_numpy(binary_mask)
+ binary_mask = binary_mask.to(mask.device)
+ return imputer(input_tensor, binary_mask)
+
+
+class RemoveLeastRelevantFirst(RemoveMostRelevantFirst):
+ def __init__(self, percentile, imputer):
+ super(RemoveLeastRelevantFirst, self).__init__(percentile, imputer)
+
+ def __call__(self, input_tensor, mask):
+ return super(RemoveLeastRelevantFirst, self).__call__(
+ input_tensor, 1 - mask)
+
+
+class AveragerAcrossThresholds:
+ def __init__(
+ self,
+ imputer,
+ percentiles=[
+ 10,
+ 20,
+ 30,
+ 40,
+ 50,
+ 60,
+ 70,
+ 80,
+ 90]):
+ self.imputer = imputer
+ self.percentiles = percentiles
+
+ def __call__(self,
+ input_tensor: torch.Tensor,
+ cams: np.ndarray,
+ targets: List[Callable],
+ model: torch.nn.Module):
+ scores = []
+ for percentile in self.percentiles:
+ imputer = self.imputer(percentile)
+ scores.append(imputer(input_tensor, cams, targets, model))
+ return np.mean(np.float32(scores), axis=0)
\ No newline at end of file
diff --git a/explainability/metrics/road.py b/explainability/metrics/road.py
new file mode 100644
index 0000000..905f84e
--- /dev/null
+++ b/explainability/metrics/road.py
@@ -0,0 +1,154 @@
+import torch
+import numpy as np
+from scipy.sparse import lil_matrix, csc_matrix
+from scipy.sparse.linalg import spsolve
+from typing import List, Callable
+from explainability.metrics.perturbation_confidence import (
+ PerturbationConfidenceMetric, AveragerAcrossThresholds,
+ RemoveMostRelevantFirst, RemoveLeastRelevantFirst
+)
+
+# The weights of the surrounding pixels
+neighbors_weights = [((1, 1), 1 / 12),
+ ((0, 1), 1 / 6),
+ ((-1, 1), 1 / 12),
+ ((1, -1), 1 / 12),
+ ((0, -1), 1 / 6),
+ ((-1, -1), 1 / 12),
+ ((1, 0), 1 / 6),
+ ((-1, 0), 1 / 6)]
+
+
+class NoisyLinearImputer:
+ def __init__(self,
+ noise: float = 0.01,
+ weighting: List[float] = neighbors_weights):
+ """
+ Noisy linear imputation.
+ noise: magnitude of noise to add (absolute, set to 0 for no noise)
+ weighting: Weights of the neighboring pixels in the computation.
+ List of tuples of (offset, weight)
+ """
+ self.noise = noise
+ self.weighting = neighbors_weights
+
+ @staticmethod
+ def add_offset_to_indices(indices, offset, mask_shape):
+ """ Add the corresponding offset to the indices.
+ Return new indices plus a valid bit-vector. """
+ cord1 = indices % mask_shape[1]
+ cord0 = indices // mask_shape[1]
+ cord0 += offset[0]
+ cord1 += offset[1]
+ valid = ((cord0 < 0) | (cord1 < 0) |
+ (cord0 >= mask_shape[0]) |
+ (cord1 >= mask_shape[1]))
+ return ~valid, indices + offset[0] * mask_shape[1] + offset[1]
+
+ @staticmethod
+ def setup_sparse_system(mask, img, neighbors_weights):
+ """ Vectorized version to set up the equation system.
+ mask: (H, W)-tensor of missing pixels.
+ Image: (H, W, C)-tensor of all values.
+ Return (N,N)-System matrix, (N,C)-Right hand side for each of the C channels.
+ """
+ maskflt = mask.flatten()
+ imgflat = img.reshape((img.shape[0], -1))
+ # Indices that are imputed in the flattened mask:
+ indices = np.argwhere(maskflt == 0).flatten()
+ coords_to_vidx = np.zeros(len(maskflt), dtype=int)
+ coords_to_vidx[indices] = np.arange(len(indices))
+ numEquations = len(indices)
+ # System matrix:
+ A = lil_matrix((numEquations, numEquations))
+ b = np.zeros((numEquations, img.shape[0]))
+ # Sum of weights assigned:
+ sum_neighbors = np.ones(numEquations)
+ for n in neighbors_weights:
+ offset, weight = n[0], n[1]
+ # Take out outliers
+ valid, new_coords = NoisyLinearImputer.add_offset_to_indices(
+ indices, offset, mask.shape)
+ valid_coords = new_coords[valid]
+ valid_ids = np.argwhere(valid == 1).flatten()
+ # Add values to the right hand-side
+ has_values_coords = valid_coords[maskflt[valid_coords] > 0.5]
+ has_values_ids = valid_ids[maskflt[valid_coords] > 0.5]
+ b[has_values_ids, :] -= weight * imgflat[:, has_values_coords].T
+ # Add weights to the system (left hand side)
+# Find coordinates in the system.
+ has_no_values = valid_coords[maskflt[valid_coords] < 0.5]
+ variable_ids = coords_to_vidx[has_no_values]
+ has_no_values_ids = valid_ids[maskflt[valid_coords] < 0.5]
+ A[has_no_values_ids, variable_ids] = weight
+ # Reduce weight for invalid
+ sum_neighbors[np.argwhere(valid == 0).flatten()] = \
+ sum_neighbors[np.argwhere(valid == 0).flatten()] - weight
+
+ A[np.arange(numEquations), np.arange(numEquations)] = -sum_neighbors
+ return A, b
+
+ def __call__(self, img: torch.Tensor, mask: torch.Tensor):
+ """ Our linear inputation scheme. """
+ """
+ This is the function to do the linear infilling
+ img: original image (C,H,W)-tensor;
+ mask: mask; (H,W)-tensor
+
+ """
+ imgflt = img.reshape(img.shape[0], -1)
+ maskflt = mask.reshape(-1)
+ # Indices that need to be imputed.
+ indices_linear = np.argwhere(maskflt == 0).flatten()
+ # Set up sparse equation system, solve system.
+ A, b = NoisyLinearImputer.setup_sparse_system(
+ mask.numpy(), img.numpy(), neighbors_weights)
+ res = torch.tensor(spsolve(csc_matrix(A), b), dtype=torch.float)
+
+ # Fill the values with the solution of the system.
+ img_infill = imgflt.clone()
+ img_infill[:, indices_linear] = res.t() + self.noise * \
+ torch.randn_like(res.t())
+
+ return img_infill.reshape_as(img)
+
+
+class ROADMostRelevantFirst(PerturbationConfidenceMetric):
+ def __init__(self, percentile=80):
+ super(ROADMostRelevantFirst, self).__init__(
+ RemoveMostRelevantFirst(percentile, NoisyLinearImputer()))
+
+
+class ROADLeastRelevantFirst(PerturbationConfidenceMetric):
+ def __init__(self, percentile=20):
+ super(ROADLeastRelevantFirst, self).__init__(
+ RemoveLeastRelevantFirst(percentile, NoisyLinearImputer()))
+
+
+class ROADMostRelevantFirstAverage(AveragerAcrossThresholds):
+ def __init__(self, percentiles=[10, 20, 30, 40, 50, 60, 70, 80, 90]):
+ super(ROADMostRelevantFirstAverage, self).__init__(
+ ROADMostRelevantFirst, percentiles)
+
+
+class ROADLeastRelevantFirstAverage(AveragerAcrossThresholds):
+ def __init__(self, percentiles=[10, 20, 30, 40, 50, 60, 70, 80, 90]):
+ super(ROADLeastRelevantFirstAverage, self).__init__(
+ ROADLeastRelevantFirst, percentiles)
+
+
+class ROADCombined:
+ def __init__(self, percentiles=[10, 20, 30, 40, 50, 60, 70, 80, 90]):
+ self.percentiles = percentiles
+ self.morf_averager = ROADMostRelevantFirstAverage(percentiles)
+ self.lerf_averager = ROADLeastRelevantFirstAverage(percentiles)
+
+ def __call__(self,
+ input_tensor: torch.Tensor,
+ cams: np.ndarray,
+ targets: List[Callable],
+ model: torch.nn.Module):
+
+ scores_lerf = self.lerf_averager(input_tensor, cams, targets, model)
+ scores_morf = self.morf_averager(input_tensor, cams, targets, model)
+ return (scores_lerf - scores_morf) / 2
\ No newline at end of file
diff --git a/explainability/utils/image.py b/explainability/utils/image.py
new file mode 100644
index 0000000..30cef9c
--- /dev/null
+++ b/explainability/utils/image.py
@@ -0,0 +1,86 @@
+import cv2
+import numpy as np
+
+
+def show_cam_on_image(img: np.ndarray,
+ mask: np.ndarray,
+ use_rgb: bool = False,
+ colormap: int = cv2.COLORMAP_JET,
+ image_weight: float = 0.5) -> np.ndarray:
+ """ This function overlays the cam mask on the image as an heatmap.
+ By default the heatmap is in BGR format.
+
+ :param img: The base image in RGB or BGR format.
+ :param mask: The cam mask.
+ :param use_rgb: Whether to use an RGB or BGR heatmap, this should be set to True if 'img' is in RGB format.
+ :param colormap: The OpenCV colormap to be used.
+ :param image_weight: The final result is image_weight * img + (1-image_weight) * mask.
+ :returns: The default image with the cam overlay.
+ """
+ heatmap = cv2.applyColorMap(np.uint8(255 * mask), colormap)
+ if use_rgb:
+ heatmap = cv2.cvtColor(heatmap, cv2.COLOR_BGR2RGB)
+ heatmap = np.float32(heatmap) / 255
+
+ if np.max(img) > 1:
+ raise Exception(
+ "The input image should np.float32 in the range [0, 1]")
+
+ if image_weight < 0 or image_weight > 1:
+ raise Exception(
+ f"image_weight should be in the range [0, 1].\
+ Got: {image_weight}")
+
+ cam = (1 - image_weight) * heatmap + image_weight * img
+ cam = cam / np.max(cam)
+ return np.uint8(255 * cam)
+
+def show_bbox_on_image(annotated_img: np.ndarray, cam_recovered: np.ndarray, binary_mask: np.ndarray, thickness: int = 1):
+ contours, _ = cv2.findContours(binary_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+ for c in contours:
+ x, y, bw, bh = cv2.boundingRect(c)
+ roi_prob = float(np.max(cam_recovered[y:y + bh, x:x + bw]))
+
+ r = int(min(255, 2 * roi_prob * 255))
+ g = int(min(255, 2 * (1 - roi_prob) * 255))
+ box_color = (r, g, 30)
+
+ cv2.rectangle(annotated_img, (x, y), (x + bw, y + bh), box_color, thickness)
+
+ draw_label(annotated_img, f"{roi_prob * 100:.0f}%", x, max(y - 5, 12), roi_prob)
+
+def remove_padding_and_resize(cam, orig_shape, target_shape):
+ orig_h, orig_w = orig_shape[:2] # (H,W,3)
+ target_h, target_w = target_shape[2:] # (1,3,H,W)
+
+ scale = max(target_h, target_w) / max(orig_h, orig_w)
+ new_h, new_w = int(orig_h * scale), int(orig_w * scale)
+
+ pad_h = (target_h - new_h) // 2
+ pad_w = (target_w - new_w) // 2
+
+ # Remove Padding
+ unpadded_cam = cam[pad_h:pad_h+new_h, pad_w:pad_w+new_w]
+ return cv2.resize(unpadded_cam, (orig_w, orig_h))
+
+def draw_label(img: np.ndarray, text: str, x: int, y: int, prob_ratio: float = 1.0):
+ h, w = img.shape[:2]
+ font = cv2.FONT_HERSHEY_SIMPLEX
+ font_scale = max(0.28, min(w,h) / 1000) # 이미지 크기 기반 동적 스케일
+ thickness = 1
+ pad = 4
+
+ (tw, th), baseline = cv2.getTextSize(text, font, font_scale, thickness)
+
+ rx1, ry1 = x - pad, y - th - pad
+ rx2, ry2 = x + tw + pad, y + baseline + pad
+
+ r = int(min(255, 2 * prob_ratio * 255))
+ g = int(min(255, 2 * (1 - prob_ratio) * 255))
+ bg_color = (r, g, 30) # RGB: green → red
+
+ overlay = img.copy()
+ cv2.rectangle(overlay, (rx1, ry1), (rx2, ry2), bg_color, -1)
+ cv2.addWeighted(overlay, 0.6, img, 0.4, 0, img)
+ cv2.putText(img, text, (x, y), font, font_scale, (255, 255, 255), thickness, cv2.LINE_AA)
diff --git a/explainability/utils/model_targets.py b/explainability/utils/model_targets.py
new file mode 100644
index 0000000..ba63a85
--- /dev/null
+++ b/explainability/utils/model_targets.py
@@ -0,0 +1,16 @@
+import torch
+
+class BinaryClassifierOutputTarget:
+ def __init__(self, category):
+ self.category = category
+
+ def __call__(self, model_output):
+ if self.category == 1:
+ sign = 1
+ else:
+ sign = -1
+ return model_output * sign
+
+class BinaryClassifierOutputSigmoidTarget:
+ def __call__(self, model_output):
+ return torch.sigmoid(model_output)
\ No newline at end of file
diff --git a/explainability/utils/reshape_transforms.py b/explainability/utils/reshape_transforms.py
new file mode 100644
index 0000000..8f4d90c
--- /dev/null
+++ b/explainability/utils/reshape_transforms.py
@@ -0,0 +1,11 @@
+def reshape_transform_gcvit(tensor):
+ # GCViTBlock output: (B,H,W,C) -> (B,C,H,W)
+ result = tensor.permute(0, 3, 1, 2)
+ return result
+
+def reshape_transform_vit(tensor):
+ # ViTBlock output: (B,N+1,C) -> skip cls -> (B,C,H,W)
+ tensor = tensor[:, 1:]
+ B, N, C = tensor.shape
+ h = w = int(N ** 0.5)
+ return tensor.reshape(B, h, w, C).permute(0, 3, 1, 2)
\ No newline at end of file
diff --git a/inference/image_predictor.py b/inference/image_predictor.py
index e6c912c..6ca3f05 100644
--- a/inference/image_predictor.py
+++ b/inference/image_predictor.py
@@ -20,6 +20,7 @@ def __init__(
self.device = "cuda:0" if torch.cuda.is_available() else 'cpu'
self.face_detector = FaceDetector(conf_thres, min_face_ratio)
self.margin_ratio = margin_ratio
+ self.model_name = model_name
self.model = timm.create_model(model_name, pretrained=True, dataset=dataset)
self.img_size = [224,224] if model_name.split("_")[-1] == "b0" else [384,384]
@@ -105,4 +106,9 @@ def predict_img(self, img_path: str, tta_hflip: float = 0) -> float:
except Exception as e:
print(f"[Critical Skip] Inference failed for {img_path}: {e}")
- return 0.5
\ No newline at end of file
+ return 0.5
+
+ def __repr__(self):
+ return (f"ImagePredictor(model_name='{self.model_name}', "
+ f"device='{self.device}', "
+ f"img_size={self.img_size})")
\ No newline at end of file
diff --git a/inference/image_predictor_prt.py b/inference/image_predictor_prt.py
new file mode 100644
index 0000000..e55baf1
--- /dev/null
+++ b/inference/image_predictor_prt.py
@@ -0,0 +1,132 @@
+import os
+import cv2
+import timm
+import torch
+import numpy as np
+from pathlib import Path
+from typing import List
+from preprocess.face_detector import FaceDetector2
+from preprocess.landmark_detector import LandmarkDetector
+from deepguard.data import get_test_transforms
+from .utils import PredictorError
+
+class ImagePredictor:
+ def __init__(
+ self,
+ margin_ratio: float,
+ conf_thres: float,
+ model_name: str,
+ dataset: str
+ ):
+ self.device = "cuda:0" if torch.cuda.is_available() else 'cpu'
+ self.face_detector = FaceDetector2(conf_thres)
+ self.landmark_detector = LandmarkDetector()
+ self.margin_ratio = margin_ratio
+ self.model_name = model_name
+ self.model = timm.create_model(model_name, pretrained=True, dataset=dataset)
+ self.img_size = [224,224] if model_name.split("_")[-1] == "b0" else [384,384]
+
+ # Model Inference Mode
+ self.model.to(self.device)
+ self.model.eval()
+
+ def _get_face_bbox(self, img: np.ndarray) -> List[float]:
+ """
+ return [xmin, ymin, xmax, ymax, confidence] or None
+ """
+
+ result = self.face_detector.detect_batch([img], [1.0])
+ if len(result[0]) == 0:
+ return None
+
+ return result[0]
+
+ def _crop_face(self, img: np.ndarray, bbox: List[float]) -> np.ndarray:
+ """
+ Crops the face. Returns None instead of raising an error if the crop is invalid.
+ """
+ xmin, ymin, xmax, ymax = bbox
+
+ img_h, img_w = img.shape[:2]
+
+ # --- 이후 크롭 로직 (마진 적용 및 안전하게 클리핑) ---
+ w = xmax - xmin
+ h = ymax - ymin
+
+ pad_w = int(w * self.margin_ratio)
+ pad_h = int(h * self.margin_ratio)
+
+ # 마진을 포함하되, 이미지 밖으로 나가는 부분은 그냥 잘라냄 (np.clip과 유사)
+ y1 = max(int(ymin - pad_h), 0)
+ y2 = min(int(ymax + pad_h), img_h)
+ x1 = max(int(xmin - pad_w), 0)
+ x2 = min(int(xmax + pad_w), img_w)
+
+ cropped_img = img[y1:y2, x1:x2]
+
+ return cropped_img
+
+ def _preprocess_img(self, img_path: str) -> np.ndarray:
+ img = cv2.imread(img_path)
+ if img is None:
+ raise PredictorError(
+ "이미지를 불러올 수 없습니다. 파일이 손상되었거나 지원하지 않는 형식인지 확인해 주세요."
+ )
+
+ img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+ img_h, img_w = img.shape[:2]
+ total_area = img_h * img_w
+
+ detect_result = self._get_face_bbox(img)
+ if detect_result is None:
+ raise PredictorError(
+ "이미지에서 얼굴을 인식하지 못해 분석을 진행할 수 없습니다. "
+ "얼굴이 정면을 향하고 이목구비가 뚜렷하게 보이는 이미지가 필요합니다."
+ )
+
+ bbox = detect_result[:4]; conf = detect_result[4] * 100
+
+ x1, y1, x2, y2 = bbox
+ face_w = (x2 - x1); face_h = (y2 - y1); face_area = face_w * face_h
+ face_ratio = (face_area / total_area) * 100
+
+ cropped = self._crop_face(img, bbox)
+
+ keypoint = self.landmark_detector.detect_batch([cropped])[0]
+ if len(keypoint) == 0:
+ raise PredictorError(
+ "얼굴은 감지되었으나, 일부분이 가려져 있거나 옆모습을 향하고 있어 정밀 분석이 어렵습니다. "
+ "이목구비가 전체적으로 잘 보이는 이미지가 필요합니다."
+ )
+
+ face_gray = cv2.cvtColor(cropped, cv2.COLOR_RGB2GRAY)
+ face_brightness = (np.mean(face_gray) / 255) * 100
+
+ return cropped, conf, face_ratio, face_brightness
+
+
+ def predict_img(self, img_path: str, tta_hflip: float = 0) -> float:
+
+ try:
+ img, face_conf, face_ratio, face_brightness = self._preprocess_img(img_path)
+
+ transforms = get_test_transforms(img_size=self.img_size, tta_hflip=tta_hflip)
+ img = transforms(image=img)['image']
+
+ with torch.no_grad():
+ img = img.unsqueeze(0).to(self.device)
+
+ out = self.model(img)
+ pred = torch.sigmoid(out).item()
+
+ return {"prob": pred, "face_conf": face_conf, "face_ratio": face_ratio, "face_brightness": face_brightness}
+
+ except PredictorError as e:
+ raise e
+ except Exception as e:
+ raise e
+
+ def __repr__(self):
+ return (f"ImagePredictor(model_name='{self.model_name}', "
+ f"device='{self.device}', "
+ f"img_size={self.img_size})")
\ No newline at end of file
diff --git a/inference/utils.py b/inference/utils.py
new file mode 100644
index 0000000..b9d80da
--- /dev/null
+++ b/inference/utils.py
@@ -0,0 +1,4 @@
+class PredictorError(Exception):
+ def __init__(self, message: str, status_code: int = 500):
+ self.message = message
+ super().__init__(self.message)
diff --git a/inference/video_predictor.py b/inference/video_predictor.py
index 373e3f5..52e3d86 100644
--- a/inference/video_predictor.py
+++ b/inference/video_predictor.py
@@ -21,6 +21,7 @@ def __init__(self,
self.margin_ratio = margin_ratio
self.frame_extractor = FrameExtractor(jitter=0)
self.face_detector = FaceDetector(conf_thres, min_face_ratio)
+ self.model_name = model_name
self.model = timm.create_model(model_name, pretrained=True, dataset=dataset)
self.img_size = [224,224] if model_name.split("_")[-1] == "b0" else [384,384]
@@ -185,4 +186,10 @@ def predict_video(self, video_path: str, num_frames: int = 20, agg_mode: str = '
except Exception as e:
print(f"Error in predict_video: {e}")
- return 0.5
\ No newline at end of file
+ return 0.5
+
+ def __repr__(self):
+ return (f"VideoPredictor(model_name='{self.model_name}', "
+ f"margin_ratio='{self.margin_ratio}', "
+ f"device='{self.device}', "
+ f"img_size={self.img_size})")
\ No newline at end of file
diff --git a/inference/video_predictor_prt.py b/inference/video_predictor_prt.py
new file mode 100644
index 0000000..d6e6e9a
--- /dev/null
+++ b/inference/video_predictor_prt.py
@@ -0,0 +1,258 @@
+import os
+import cv2
+import numpy as np
+import timm
+import torch
+from typing import Dict, List
+from preprocess.frame_extractor import FrameExtractor
+from preprocess.face_detector import FaceDetector2
+from preprocess.landmark_detector import LandmarkDetector
+from deepguard.data import get_test_transforms
+from .utils import PredictorError
+
+class VideoPredictor:
+ def __init__(self,
+ margin_ratio: float,
+ conf_thres: float,
+ model_name: str,
+ dataset: str,
+ ):
+
+ self.device = "cuda:0" if torch.cuda.is_available() else "cpu"
+ self.margin_ratio = margin_ratio
+ self.frame_extractor = FrameExtractor(jitter=0)
+ self.face_detector = FaceDetector2(conf_thres)
+ self.landmark_detector = LandmarkDetector()
+ self.model_name = model_name
+ self.model = timm.create_model(model_name, pretrained=True, dataset=dataset)
+ self.img_size = [224,224] if model_name.split("_")[-1] == "b0" else [384,384]
+
+ # Model Inference Mode
+ self.model.to(self.device)
+ self.model.eval()
+
+ def _extract_frames(self, video_path: str) -> Dict[int, np.ndarray]:
+ """
+ Extracts frames from the video and returns a dictionary in the format {frame_index: frame_data}.
+ Returns an empty dictionary {} if the extraction fails.
+ """
+ cap = None
+ try:
+ if not os.path.exists(video_path):
+ raise PredictorError("해당 비디오 파일 경로가 존재하지 않습니다")
+
+ cap = cv2.VideoCapture(filename=video_path)
+ if not cap.isOpened():
+ raise PredictorError("비디오를 불러올 수 없습니다. 파일이 손상되었거나 지원하지 않는 형식인지 확인해 주세요.")
+
+ frame_cnt = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
+ fps = cap.get(cv2.CAP_PROP_FPS) or 30.0
+ num_frames = int(frame_cnt / fps)
+
+ frame_indices = [min(int(sec * fps), frame_cnt - 1) for sec in range(num_frames)]
+ frame_indices = sorted(set(frame_indices))
+ frames = {}
+ target_idx = 0
+ max_target = frame_indices[-1]
+
+ for frame_idx in range(max_target + 1):
+ ret = cap.grab()
+ if not ret:
+ break
+
+ if frame_idx == frame_indices[target_idx]:
+ ret, frame = cap.retrieve()
+
+ if ret and frame is not None:
+ frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+ frames[frame_idx] = frame_rgb
+
+ target_idx += 1
+
+ if target_idx >= len(frame_indices):
+ break
+
+ if not frames:
+ raise PredictorError(
+ f"해당 비디오 내 {num_frames}개의 Frame에서 모두 추출에 실패하였습니다"
+ )
+
+ return frames, fps, frame_cnt, len(frame_indices), len(frames)
+
+ except PredictorError as e:
+ raise e
+ except Exception as e:
+ raise e
+ finally:
+ if cap is not None and cap.isOpened():
+ cap.release()
+
+ def _get_face_bboxes(self, frames_dict: Dict):
+ frames = list(frames_dict.values())
+ face_results = self.face_detector.detect_batch(frames, [1.0] * len(frames))
+ return face_results, frames
+
+ def _crop_face(self, frame: np.ndarray, bbox: List[float]):
+
+ img_h, img_w = frame.shape[:2]
+ xmin, ymin, xmax, ymax = bbox
+
+ w = xmax - xmin
+ h = ymax - ymin
+
+ # Calculate Face Ratio in Frame
+ face_area = w * h; total_area = img_w * img_h
+ face_ratio = (face_area / total_area) * 100
+
+ pad_w = int(w * self.margin_ratio)
+ pad_h = int(h * self.margin_ratio)
+
+ y1 = max(int(ymin - pad_h), 0)
+ y2 = min(int(ymax + pad_h), frame.shape[0])
+ x1 = max(int(xmin - pad_w), 0)
+ x2 = min(int(xmax + pad_w), frame.shape[1])
+
+ cropped_frame = frame[y1:y2,x1:x2]
+
+ return cropped_frame, face_ratio
+
+ def _preprocess_frames(self, video_path: str) -> List[np.ndarray]:
+ """
+ Detects and crops faces from extracted frames, returning them as a list.
+ Returns an empty list [] if no faces are detected or an error occurs.
+ """
+ try:
+ frames_dict, fps, total_frames, num_sampled, num_extracted = self._extract_frames(video_path)
+ frame_indices = list(frames_dict.keys())
+
+ face_results, frames = self._get_face_bboxes(frames_dict)
+
+ if not any(face_results):
+ raise PredictorError(f"추출한 {len(frames)}개의 Frame에서 모두 얼굴 탐지에 실패하였습니다 ")
+
+ cropped_frames, face_confs, face_ratios, face_brightnesses, frame_times = [], [], [], [], []
+
+ for i, face_result in enumerate(face_results):
+ if len(face_result) == 0: continue
+
+ bbox = face_result[:4]
+ conf = face_result[4] * 100
+ cropped_frame, face_ratio = self._crop_face(frames[i], bbox)
+
+ # 랜드마크 추출
+ keypoint = self.landmark_detector.detect_batch([cropped_frame])[0]
+ if len(keypoint) == 0:
+ continue
+
+ face_gray = cv2.cvtColor(cropped_frame, cv2.COLOR_RGB2GRAY)
+
+ cropped_frames.append(cropped_frame)
+ face_confs.append(conf)
+ face_ratios.append(face_ratio)
+ face_brightnesses.append((np.mean(face_gray) / 255) * 100)
+ frame_times.append(i)
+
+ if not cropped_frames:
+ raise PredictorError(f"추출한 {len(frames)}개의 Frame에서 얼굴이 옆모습이거나 가려져 있어 탐지가 어렵습니다")
+
+ num_detected = len(cropped_frames)
+
+ return (cropped_frames, face_confs, face_ratios, face_brightnesses, frame_times,
+ fps, total_frames, num_sampled, num_extracted, num_detected)
+
+ except PredictorError as e:
+ raise e
+ except Exception as e:
+ raise e
+
+ def _frame_aggregate(self, preds: np.ndarray, face_confs: List[float], face_ratios: List[float],
+ face_brightnesses: List[float], agg_mode: str) -> np.ndarray:
+
+ sz = len(preds) # num_frames
+
+ if agg_mode == "mean":
+ return np.mean(preds), np.mean(face_confs), np.mean(face_ratios), np.mean(face_brightnesses)
+
+ elif agg_mode == "vote":
+ return np.sum(preds > 0.5) / sz, np.mean(face_confs), np.mean(face_ratios), np.mean(face_brightnesses)
+
+ elif agg_mode == 'conf':
+ t_fake = 0.8
+ t_real = 0.2
+
+ fakes = preds[preds > t_fake]
+ num_fakes = len(fakes)
+
+ if num_fakes > (sz // 2.5):
+ return np.mean(fakes), np.mean(face_confs), np.mean(face_ratios), np.mean(face_brightnesses)
+ elif np.count_nonzero(preds < t_real) > 0.9 * sz:
+ return np.mean(preds[preds < t_real]), np.mean(face_confs), np.mean(face_ratios), np.mean(face_brightnesses)
+ else:
+ return np.mean(preds), np.mean(face_confs), np.mean(face_ratios), np.mean(face_brightnesses)
+
+ def _get_predict(self, video_path: str, tta_hflip: float) -> np.ndarray:
+ try:
+ (cropped_frames, face_confs, face_ratios, face_brightnesses, frame_times,
+ fps, total_frames, num_sampled, num_extracted, num_detected) = self._preprocess_frames(video_path)
+
+ transforms = get_test_transforms(img_size=self.img_size, tta_hflip=tta_hflip)
+ frames_list = [transforms(image=f)['image'] for f in cropped_frames]
+ batch_frames = torch.stack(frames_list).to(self.device) # (num_frames,3,H,W)
+
+ with torch.no_grad():
+ outs = self.model(batch_frames) # (num_frames,1)
+ preds = torch.sigmoid(outs.view(-1)).cpu().numpy() # (num_frames,)
+
+ return (preds, face_confs, face_ratios, face_brightnesses, frame_times,
+ fps, total_frames, num_sampled, num_extracted, num_detected)
+
+ except PredictorError as e:
+ raise e
+ except Exception as e:
+ raise e
+
+ def predict_video(self, video_path: str, agg_mode: str = 'conf', tta_hflip: float = 0) -> np.ndarray:
+ try:
+ (preds, face_confs, face_ratios, face_brightnesses, frame_times,
+ fps, total_frames, num_sampled, num_extracted, num_detected) = self._get_predict(video_path, tta_hflip)
+
+
+ agg_prob, agg_conf, agg_ratio, agg_brightness = self._frame_aggregate(
+ preds, face_confs, face_ratios, face_brightnesses, agg_mode
+ )
+
+ frame_results = [
+ {
+ "frame_index": i,
+ "frame_time": frame_times[i],
+ "score": float(preds[i]),
+ "face_conf": float(face_confs[i]),
+ "face_ratio": float(face_ratios[i]),
+ "face_brightness": float(face_brightnesses[i]),
+ }
+ for i in range(len(preds))
+ ]
+
+ return {
+ "prob": float(agg_prob),
+ "face_conf": float(agg_conf),
+ "face_ratio": float(agg_ratio),
+ "face_brightness": float(agg_brightness),
+ "frame_results": frame_results,
+ "fps": round(fps, 2),
+ "total_frames": total_frames,
+ "num_sampled": num_sampled,
+ "num_extracted": num_extracted,
+ "num_detected": num_detected,
+ }
+
+ except PredictorError as e:
+ raise e
+ except Exception as e :
+ raise e
+
+ def __repr__(self):
+ return (f"VideoPredictor(model_name='{self.model_name}', "
+ f"margin_ratio='{self.margin_ratio}', "
+ f"device='{self.device}', "
+ f"img_size={self.img_size})")
\ No newline at end of file
diff --git a/labels.txt b/labels.txt
deleted file mode 100644
index 505ee95..0000000
--- a/labels.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-label2id = {
- "REAL": 0,
- "FAKE": 1,
-}
\ No newline at end of file
diff --git a/preprocess/__init__.py b/preprocess/__init__.py
index c85ed88..e69de29 100644
--- a/preprocess/__init__.py
+++ b/preprocess/__init__.py
@@ -1,3 +0,0 @@
-from .face_detector import FaceDetector, FaceDetector_KODF
-from .frame_extractor import FrameExtractor, FrameExtractor_KODF
-from .landmark_detector import LandmarkDetector, LandmarkDetector_KODF
\ No newline at end of file
diff --git a/preprocess/face_detector.py b/preprocess/face_detector.py
index 1bf6fe6..e095595 100644
--- a/preprocess/face_detector.py
+++ b/preprocess/face_detector.py
@@ -76,6 +76,69 @@ def detect_batch(
return batch_boxes
+class FaceDetector2:
+ """
+ YOLO-based Face Detector.
+
+ This class performs batch inference to detect FACE bounding boxes.
+ It uses a custom YOLO model trained on face datasets (e.g., yolov8n-face.pt).
+ """
+
+ def __init__(
+ self,
+ conf_thres: float,
+ ):
+ """
+ Args:
+ conf_thres: Confidence threshold for YOLO face detection
+ """
+
+ weights_path = Path(__file__).resolve().parent / "yolov8n-face.pt"
+
+ self.model = YOLO(str(weights_path), task='detect')
+ self.conf_thres = conf_thres
+
+ def detect_batch(
+ self,
+ frames: List[np.ndarray],
+ scales: List[float]
+ ):
+
+ results = self.model(frames, conf=self.conf_thres, verbose=False)
+
+ batch_boxes = []
+
+ for i, result in enumerate(results):
+ scale_factor = scales[i]
+
+ if len(result.boxes) == 0:
+ batch_boxes.append([])
+ continue
+
+ # (N, 6) -> [xmin, ymin, xmax, ymax, conf, cls]
+ data = result.boxes.data.cpu().numpy()
+
+ face_boxes = data[data[:, 5] == 0] # Category: Face
+
+ if len(face_boxes) == 0:
+ batch_boxes.append([])
+ continue
+
+ ws = face_boxes[:, 2] - face_boxes[:, 0]
+ hs = face_boxes[:, 3] - face_boxes[:, 1]
+ areas = ws * hs
+
+ max_area_idx = np.argmax(areas)
+
+ best_face_coords = face_boxes[max_area_idx, :4] / scale_factor
+
+ conf_score = face_boxes[max_area_idx, 4]
+
+ final_result = best_face_coords.tolist() + [float(conf_score)]
+ batch_boxes.append(final_result)
+
+ return batch_boxes
+
class FaceDetector_KODF:
"""
YOLO-based Face Detector.
diff --git a/preprocess/yolov8n-face.pt b/preprocess/yolov8n-face.pt
index 0798a1f..73a5008 100644
Binary files a/preprocess/yolov8n-face.pt and b/preprocess/yolov8n-face.pt differ
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..5ab0907
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,45 @@
+[build-system]
+requires = ["setuptools>=68", "wheel"]
+build-backend = "setuptools.build_meta"
+# ─────────────────────────────────────────────
+# [project]
+# PyPI에 올라가는 패키지 메타데이터
+# pip install deepguard 했을 때 보이는 정보들
+# ─────────────────────────────────────────────
+[project]
+name = "deepguard" # pip install deepguard 할 때 이 이름
+version = "0.2.2" # pip install deepguard==0.2.2 으로 버전 고정 가능
+description = "Multi-Scale Efficient Global Context Vision Transformer for Robust Deepfake Detection"
+readme = "README.md" # PyPI 페이지에 표시될 설명 (마크다운)
+requires-python = ">=3.10" # 이 버전 미만이면 pip install 자체를 막음
+license = { text = "MIT" }
+authors = [
+ { name = "seoyunje", email = "seoyunje2001@gmail.com" }
+]
+classifiers = [
+ "Programming Language :: Python :: 3",
+ "Programming Language :: Python :: 3.10",
+ "Programming Language :: Python :: 3.11",
+ "License :: OSI Approved :: MIT License",
+ "Operating System :: OS Independent",
+ "Topic :: Scientific/Engineering :: Artificial Intelligence",
+]
+dependencies = ["torchmetrics>=1.6.1",
+ "ultralytics>=8.4.41",
+ "grad-cam>=1.5.5",
+ "timm>=1.0.12",
+ "torch>=2.10.0"
+ ]
+[project.urls]
+Homepage = "https://github.com/HanMoonSub/DeepGuard"
+"Bug Tracker" = "https://github.com/HanMoonSub/DeepGuard/issues"
+"Source Code" = "https://github.com/HanMoonSub/DeepGuard"
+"Hugging Face" = "https://huggingface.co/KoreaPeter/ms-eff-gcvit-deepfake"
+[tool.setuptools.packages.find]
+include = [
+ "deepguard*", # 모델, 레이어, 데이터셋 등 핵심 패키지
+ "inference*", # ImagePredictor, VideoPredictor
+ "explainability*", # CAM 기반 XAI
+ "preprocess*" # # 얼굴 검출, 프레임 추출 등
+]
+exclude = ["App*", "client*"]
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 054ffeb..a7bc9ab 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,14 +1,48 @@
-pandas
-numpy
-matplotlib
-seaborn
-Pillow
-opencv-python
-torch
-torchmetrics
-timm
-albumentations
-scikit-learn
-colorama
-facenet_pytorch
+# --- [Core Backend & Server] ---
+fastapi>=0.135.1
+uvicorn>=0.41.0
+python-multipart>=0.0.22
+pydantic[email]>=2.12.5
+aiofiles>=25.1.0
+itsdangerous>=2.2.0
+python-dotenv>=0.9.9
+# --- [Database & ORM] ---
+sqlalchemy>=2.0.48
+pymysql>=1.1.2
+aiomysql>=0.3.2
+mysql-connector-python>=9.6.0
+redis>=7.4.0
+
+# --- [Security & Auth] ---
+bcrypt>=4.0.1
+passlib[bcrypt]>=1.7.4
+cryptography>=42.0.0
+
+# --- [Data Analysis & Math] ---
+numpy>=1.23.0,<3.0.0
+pandas>=2.2.3
+scikit-learn>=1.6.1
+
+# --- [Computer Vision & Image Processing] ---
+opencv-python>=4.11.0
+Pillow>=11.1.0
+albumentations>=2.0.8
+
+# --- [Deep Learning Framework] ---
+torch>=2.10.0
+torchmetrics>=1.6.1
+timm>=1.0.12
+ultralytics>=8.4.41
+grad-cam>=1.5.5
+
+# --- [Visualization & Utilities] ---
+matplotlib>=3.10.0
+seaborn>=0.13.2
+colorama>=0.4.6
+
+# --- [Distributed Task Queue] ---
+celery>=5.6.3
+
+# --- [Linting & Formatting] ---
+ruff>=0.9.0
\ No newline at end of file
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 749be1f..0000000
--- a/setup.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from setuptools import setup, find_packages
-
-setup(
- name = 'DeepGuard',
- version = '0.1.0',
- description = 'DeepFake Detection Model: MultiScaleEfficientViT',
- author = 'seoyunje',
- author_email = "seoyunje2001@gmail.com",
- url = 'https://github.com/HanMoonSub/DeepGuard',
-
- packages = find_packages(exclude=['Attention', 'preprocess']),
- python_requires = '>=3.8',
-
- # Dependency Library
- install_requires = [
- 'torchmetrics',
- 'torch >= 1.8.0',
- ],
-
-)
\ No newline at end of file
diff --git a/tutorials/high_level_visualization.ipynb b/tutorials/high_level_visualization.ipynb
new file mode 100644
index 0000000..ab2d3bb
--- /dev/null
+++ b/tutorials/high_level_visualization.ipynb
@@ -0,0 +1,278 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "L4"
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Setup\n",
+ "\n",
+ "Clone the repository and install dependencies."
+ ],
+ "id": "da1b48a8"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ],
+ "id": "fa487563"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "%cd DeepGuard"
+ ],
+ "id": "bafaf626"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "!pip install -q ultralytics"
+ ],
+ "id": "8f818c3c"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "!pip install -q grad-cam"
+ ],
+ "id": "84d058a2"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "import matplotlib.pyplot as plt"
+ ],
+ "id": "97266540"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## High Level Visualization"
+ ],
+ "metadata": {
+ "id": "uzEO2U8E9sSE"
+ },
+ "id": "ef7ccc97"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import EigenGradCAMExplainer, GradCAMPlusPlusExplainer, XGradCAMExplainer\n",
+ "\n",
+ "explainer = EigenGradCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 122,
+ "referenced_widgets": [
+ "8a27bda2ce8e45348498e6f5c923a43e",
+ "66aee78803c345519948e2f3925fd7c7",
+ "f622a7d54fcf4beb8e13685932b00998",
+ "9c9e00bd89c042d0a00534fbbe30c5be",
+ "6e944eac098e4986a8329962eafb2fc9",
+ "660cbc60fe364aab9e0d2356503860ca",
+ "976a25f51d4e4abab585525de0ce4cb6",
+ "4aadb468cff54804a6bfdb8409781e58",
+ "3bb37e228e854653af36a92ac0828bbc",
+ "d7526483467f41d4b82f47b8ede7c348",
+ "b54f1c88421548a18ac1d75275b7e6f5"
+ ]
+ },
+ "id": "esznRImg9eo3",
+ "outputId": "e689338c-be04-4ffa-f215-51daac76d4f2"
+ },
+ "execution_count": 1,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Creating new Ultralytics Settings v0.0.6 file ✅ \n",
+ "View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n",
+ "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Downloading: \"https://github.com/HanMoonSub/DeepGuard/releases/download/v0.1.0/ms_eff_gcvit_b5_ff++.bin\" to /root/.cache/torch/hub/checkpoints/ms_eff_gcvit_b5_ff++.bin\n"
+ ]
+ }
+ ],
+ "id": "52211d93"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "plt.imshow(result)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 453
+ },
+ "id": "Rvny8PAO97Hc",
+ "outputId": "a353eb6b-f752-470d-fdd6-d5be55ce63ec"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 9
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "145473b7"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "result = explainer.display_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "plt.imshow(result)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 453
+ },
+ "id": "NrH8xksv-RMK",
+ "outputId": "0beb8d03-2a90-4b1c-80c7-a5ff327200ee"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 10
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "8879fae1"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "plt.imshow(result)"
+ ],
+ "metadata": {
+ "id": "aSOX5xSh-8_Z",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 453
+ },
+ "outputId": "203e6824-b365-44e0-f95a-18ef4d8ddc72"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 11
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "9c54c9dd"
+ }
+ ]
+}
\ No newline at end of file
diff --git a/tutorials/low_level_visualization.ipynb b/tutorials/low_level_visualization.ipynb
new file mode 100644
index 0000000..b21ffcf
--- /dev/null
+++ b/tutorials/low_level_visualization.ipynb
@@ -0,0 +1,243 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "L4"
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Setup\n",
+ "\n",
+ "Clone the repository and install dependencies."
+ ],
+ "id": "887d6320"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ],
+ "id": "6bbc5ce7"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "%cd DeepGuard"
+ ],
+ "id": "593742a8"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "!pip install -q ultralytics"
+ ],
+ "id": "bd848dcf"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "!pip install -q grad-cam"
+ ],
+ "id": "8dab3b6e"
+ },
+ {
+ "cell_type": "code",
+ "metadata": {},
+ "execution_count": null,
+ "outputs": [],
+ "source": [
+ "import matplotlib.pyplot as plt"
+ ],
+ "id": "95dc22d6"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Low Level Visualization"
+ ],
+ "metadata": {
+ "id": "OK0aURWlAZW6"
+ },
+ "id": "1327c3a9"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import HiResCAMExplainer, GradCAMElementWiseExplainer, LayerCAMExplainer\n",
+ "\n",
+ "explainer = LayerCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")"
+ ],
+ "metadata": {
+ "id": "RdwdcT07AAA3"
+ },
+ "execution_count": null,
+ "outputs": [],
+ "id": "1da47b1d"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "plt.imshow(result)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 453
+ },
+ "id": "z1JKjpF5Awdu",
+ "outputId": "a332a42d-f066-4757-d4cf-386daf0fefd7"
+ },
+ "execution_count": 1,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 22
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "c0540491"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "result = explainer.display_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "plt.imshow(result)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 453
+ },
+ "id": "u10y6nntAyfa",
+ "outputId": "5fc82e22-ea0c-431b-c9e9-ab3109ad99c3"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 23
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "241029f1"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "plt.imshow(result)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 453
+ },
+ "id": "QAONxMlfBMzW",
+ "outputId": "0a70f52a-8af5-4e1b-c32f-8974f1372751"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 24
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "0a4a8cae"
+ }
+ ]
+}
\ No newline at end of file
diff --git a/tutorials/ms_eff_gcvit_high_level.ipynb b/tutorials/ms_eff_gcvit_high_level.ipynb
new file mode 100644
index 0000000..8fd49d3
--- /dev/null
+++ b/tutorials/ms_eff_gcvit_high_level.ipynb
@@ -0,0 +1,653 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "G4"
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NqILQnqgiI2m",
+ "outputId": "9a381f18-0f61-4b88-d8bb-f5a4459fb7b6"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Cloning into 'DeepGuard'...\n",
+ "remote: Enumerating objects: 3257, done.\u001b[K\n",
+ "remote: Counting objects: 100% (729/729), done.\u001b[K\n",
+ "remote: Compressing objects: 100% (276/276), done.\u001b[K\n",
+ "remote: Total 3257 (delta 551), reused 528 (delta 446), pack-reused 2528 (from 1)\u001b[K\n",
+ "Receiving objects: 100% (3257/3257), 57.90 MiB | 140.49 MiB/s, done.\n",
+ "Resolving deltas: 100% (2025/2025), done.\n"
+ ]
+ }
+ ],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ],
+ "id": "cf64c5b9"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "cd DeepGuard"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "ijppv_W-iT_H",
+ "outputId": "8059d739-7bc3-4757-a487-5d9e08af4f66"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/DeepGuard\n"
+ ]
+ }
+ ],
+ "id": "332e4069"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q grad-cam"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "HSKrjUy8jA5I",
+ "outputId": "d9ad3c1e-e86a-4549-ba89-c7f9411fdc35"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/7.8 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.5/7.8 MB\u001b[0m \u001b[31m15.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/7.8 MB\u001b[0m \u001b[31m48.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m78.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m69.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ " Building wheel for grad-cam (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
+ ]
+ }
+ ],
+ "id": "2d78b57f"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q ultralytics"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "0x3o8lPRj-8F",
+ "outputId": "e90d9085-b49e-43eb-ed09-c55264a77d18"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.3/41.3 kB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m28.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h"
+ ]
+ }
+ ],
+ "id": "9b550ec7"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt"
+ ],
+ "metadata": {
+ "id": "7NJpIIOtiWpV"
+ },
+ "execution_count": 5,
+ "outputs": [],
+ "id": "78b40102"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## EigenGradCAM\n",
+ "---\n"
+ ],
+ "metadata": {
+ "id": "6ha_d3Ghj7CS"
+ },
+ "id": "668ee2b0"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like EigenCAM but with class discrimination: First principle component of Activations*Grad. Looks like GradCAM, but cleaner"
+ ],
+ "metadata": {
+ "id": "7DoR2bddkP_U"
+ },
+ "id": "bb400fb1"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import EigenGradCAMExplainer"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "n1KIKp4BkE0-",
+ "outputId": "41c96045-811b-4ac8-e626-762dc67e67db"
+ },
+ "execution_count": 6,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Creating new Ultralytics Settings v0.0.6 file ✅ \n",
+ "View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n",
+ "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
+ ]
+ }
+ ],
+ "id": "52cda52e"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "QduZG3aSinDV"
+ },
+ "id": "020e0c53"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = EigenGradCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "ct2duBjnjL-v",
+ "outputId": "0d789e6b-b7b5-447e-b8fc-4cb9695413cf"
+ },
+ "execution_count": 11,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "b4367ec7"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "cDUsj9wLlAIj"
+ },
+ "id": "0da44007"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = EigenGradCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "IYE3yaBelCBK",
+ "outputId": "6308360e-286e-44ee-c617-be556c1947f1"
+ },
+ "execution_count": 15,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "f908d81f"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## GradCamPlusPlus\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "nx0KTlREiony"
+ },
+ "id": "9a2d2aa5"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but uses second order gradients"
+ ],
+ "metadata": {
+ "id": "TKIQacaOmNJ4"
+ },
+ "id": "bac9e182"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import GradCAMPlusPlusExplainer"
+ ],
+ "metadata": {
+ "id": "uKSARiIxmS26"
+ },
+ "execution_count": 16,
+ "outputs": [],
+ "id": "a864d102"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "2XW5lY91mb_f"
+ },
+ "id": "c4fe07f2"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMPlusPlusExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "7mmXgmWEmj3t",
+ "outputId": "db33a9d4-839a-4458-87e5-136723a60938"
+ },
+ "execution_count": 23,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "14a20548"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "IALy8WWQmm5f"
+ },
+ "id": "7e73474f"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMPlusPlusExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "UHVPhGsCmpmq",
+ "outputId": "66d7ea74-c394-43d0-ab65-880d4f68dfe5"
+ },
+ "execution_count": 29,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "4ddac00f"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## XGradCAM\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "T9T9pAv3iuZX"
+ },
+ "id": "8bcf45dc"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but scale the gradients by the normalized activations"
+ ],
+ "metadata": {
+ "id": "LnYa1_wkmPx1"
+ },
+ "id": "eb096eb8"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import XGradCAMExplainer"
+ ],
+ "metadata": {
+ "id": "YtSp-4SZmJZo"
+ },
+ "execution_count": 30,
+ "outputs": [],
+ "id": "2dbc8b36"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "xQgGzdwnmcsB"
+ },
+ "id": "94f69cf3"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = XGradCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "xfZf465omi5M",
+ "outputId": "294a1bc0-6cf3-4b1d-bc55-5663ac49ba48"
+ },
+ "execution_count": 36,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "bc12c88f"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "EKKc18cYmny5"
+ },
+ "id": "d7e0c599"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = XGradCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "4bAnK0_ZmqlR",
+ "outputId": "be905e9c-6b60-47a8-b409-a6b620b7d4cf"
+ },
+ "execution_count": 37,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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XDtqxejP6NIhu4MbYxKhBTGjLqS+4KDb7QS5cbRVJsNA1RvDnCGmToLKZOnN1ME0ScgUzzsyt9+Ox2/MaAMs3v/1JbQfOHDhj7cCZ9xFnXhT0GGYjHbJEKf8x4YrWo0PtE3yyRi2HAHiQMJhNU2Yy4eVipiJmgKEoaCBnntYapG3JcKqCzFAlm5yoU95E0k8FaWAX2FoZZVk8aCiKsJjPsqv8Mdlh0vN0mAjkaZubE8WuE1shAAAXRpjXkh4yMIhG/HBswhJaeCdQ0Dl9t/nXp1+BzPudjoGhBHBdQKWiaLNVmpoJL1YrJhyCqzK0mN9P/SD4PBVPSeOkC7EJnw1XUdAr1Gkzv+bWFLgoRBsWadC62CqADVwiBz6F1MvxijQ8XO7xsN573rQCFDVfi63wYCZZLhUqijdv3nipXxPoWoFSFzA5kKn4Cs5/JKgkyAYtu2DafMYacC+CNwKecyYfb4/Ho1P06aNqB84cOHPgzPuKM89XGCZtJiR3FFRM/e1kCA1avTRr1/JCpwlLGlGkMCE3bWHANxYl1/TVy6yOQjw/de72SNrQGD3PWQQNHk9ElGanURsjUG4eQ0x5LMgvEQncrKgLu6pP6H7DEOKmXSDMpKmDqRO3BZnyg9ON+nSElp20p+g0wACjmzKB0vFJLYc5fWmh+Ucksa+mWtvQ2jqtDmyu5vERRvYw0GY3vQYIxpi3bctjTJpBTELmp+wc01uYNre2Ytvsr8mWJsXwP8eud9GZzYOktg1oRbHIAi4V1fnCitzsaK4SPwnTgpYmjhga9XNneE0c6nPy0jasbD6aduDMgTMHzuB9xZlnKwxxuysiw31ou+dNw+00gFtmEAFIgAsbjaa1HoiUz1bb2jX2h9dI4bEbJDjkI6kDQiJF9IyQjGsMGz0epsvvyUxQ90MWVr9+0OhTGw5pmvvSq60pmnSBsWpmUVjFxxFmyqDVAI5Jq/hXp08+JqQ/KwWOguiKvh/7PI9j2hGBLH3JTXEGcC3HMZks/Y24r5BIoVpum0ZhpstlWcIKmfQTadg28x0KDAypRiEYWx1t7rtd1wvatiboRgR4+CdBA3iLYPUV4sZiqwUuYCKcCnv6G+9+gIbOARi3sPWbxmjyCnvseI5NXPDZY+1Zsv0uAPABtwNnDpw5cAZ4X3Hm3ba3fqRzj6VnBOuYVuaDZntlDoEbdSsPIgIAUq+yZRXRRMWDXTrBybl3XGdcd6AfUzU/lWCuClappx8BADFBwe4vtLtbLnZo1AI07xvLVGVsfBU1wZXm/r/Ij9b5+V3M9nTt9O0s06ma43La5d1o/IKCv6bW/Yo6gNKscOZzfX4DLFRtPLnJzrSSwHTPuM+yLLvVmJ3Xot4+AOECFgJawwYTrq01bOuGdd28+IpHPcO2ybXoZc6ceSKGkIIb4dIa2vbgKWe+6iK20r0cBVa8L2F2TbC+OSM3jsU3u81u6YrkN+/w1tTBj7AdOHPgzIEzt9uXhTNfeGnovTDPGqt9byEf3YyUhVHgZjv00UfgSQqE+l7wqlmJzU7sgpDKbjxbB+ZUK+famVKyX821RvLPJKb5BxBkCVYfkVn5zNQFBWQz7TIZOMaAEGA/JDEuTXnrKyGNkiV2NAeFpFsOTENss0fT52i5uPDx57F4rpeiLY5XEvFGwlASiO8cN6ZnATrQwp+uVsiGaPBVTgDBABWrWgev4+7Pm4AZAKSYGdhzuKUJts1WSoUKTtVWndJgZkbyKGdmj4L3POxSQOuKh8sKEcXqKVfFtyEui6e1+Sjkhn1vXJz1SPP9Wjih4OrIUyK5F9hDUXheO3DmwJkDZ+YjPw6ceSeF4dGHDZrjdH4wGu1f/Y85g5KCmeOvB+sIFGFaG+8dTfKTBfpw34o2zlCTbtJ5DPHW0pSitrxtXTsyr4hY3XA3mW2+BW0Ib+T/2kYv1/pesmliQybg2NjZ4AJEaerrqDTmaXezWAc8H9M4Ln9qihupCb8LVwDmxLoxXmVwsdKqXi4mQa+ryupY5Pe5oen3zW8EgBW7KVy8YE0B+eY6MdbYctZouCE2pmkOmAwCPP1JFWiknspWMnWKiNN0GObdbWvYthXrZubQ5bTgdDqbIPOw6pQufjFf4fMc8LW/uaXWD6c98fXzhPYjViAOnDlw5sAZf/Oe4MwXYmHo40qJuNEf494yCDW5ph1pTqbTmpqemqDZnHZMotP4UtNybd8I6P5OAcDd/CNCfQ/14O8wNXHk5PoOdMR9kkNw3bwXxUrGfqkz995cup+wErQaVhoAPHK6b7Mb5tLpbjHI+II6ufM1tHIan62Jjwr3byom2gpMWyYAYEJBcUCjzpRxOxmBpd8n+hF9aduGlTYr6qJRPhYQtf1eWH3TnWJCzF5aT4Es/qJqmn/TZisxIaCwp4RF1LoXZ+HiKwyPL2ajQ2FgVcG6PoDvgeWzBXd3r7CcT1h4QVSI6/laMTC/z5UQI9Dzxhd9np4lh4/JzUesLNxqB84cOHPgzJeLM8+vw3DzWGeSx7Sc0ZjEIWjxhzDLoWvDu7sQ4ClE4vuV+/HhPkmAqYTWwHhDrrNSZ2LN+xAAwfl8snzpUi39xgmpvoHLFhXNpA3V1kJrvTH2tPN1SozCNeroNFwToGKM4H0IIYkrdbz1/n64+kxxXggvz/eOQiutMUSK0VsFotRLtfqqgKYeI4FuArQQ5FpRN6tx37y4y9izmIcOPgFegVLuU47gMyIQORKAUJj8LU3gRRRrQe8/mynxcrnHhQgPDw9Y1wu2zWrSc+k7BA5WXvRdjG5NcAzi+itnzBtf3DrvBcd/wtuBMwfOHDjzCIHfA5z5nLtV6vRuZMa3mVCYKDdOiT4H4/Og8cugsQZaJP2i+tYIAgkWdrJoT0pW2MYlwSRRpKWUimWpqKVgqRVLrbYzncJNf+LBMGuvZjZpac5gNojhsJoW773r5U/tn6ADO7oFA3bNPxHPBYjTdGatF9swc5ndM/alp6QphhWK7vroJlSSLIWa2jWVYY6l9yVAKYaOPsbxWaoWqEQRYdya561HoLb6f3Dw6lvMEijHTIgKe3BzpQmnkh229w4CarnptS4myEOA2SYNy3LC5tHYbx7e4BP5KtZ1xblUtM1XGaG1c6fvsMTZHTJKBG0/VwwC0c1V88fYDpw5cObAmfHt+4Ezn8slMQpv9sX/fXI8/p2qpvCG9kikrgVaVTWL+Gn9OTnR+0ITgqhoYaYoj4Rt/bzYeEQBBxHT8k+nBctyQl2sqAfivGb+rG2z/e43N3eN1dFC2EgHYc6+7rRjYJpoxizEPL4O5kKKJcOwwtDBZKhi/j8L7tEhECtoaddFEZCxD3Yb9aq3w5KJGL2gi/lcx135IjCLxzHSGIjWgSnzkVuz2usivsuf0WzcHAdEA+hgunea3/zeqgrJy9gBDwlglQi8WPS5bc6zYtsa2mr+4M3TpwCgJsAPTRVhcny6fYE/8h+pZeGpduDMgTMHzgTBvqD2jjjzhWdJ3GqdiYFhY08jeGj1iqxe1g+4EUnn+zxelUo7g2vc34WO45gx31IW1GXBslScTicsywml2KQZowl03FSl2ZaoU7BNDGro9dWY80DXjgO6zAQXDGhBUOQVzeI4KMxfANQBcsjZVQSpurZNEF/hIIU41lQjYCSlxUqvqiqULaJbg86queOceK38nBe4xU4VpPs54VzBMDOKAloFTZAmw6zPTuRRx50+qphAIenmgNZFejiFkKsXAKi1AFywuIYuIrhsm22Ks624XB5wf/8GIGCRU2e5aTbHfGjdffYzx8XAyB/JG7c442hfdDtwBgfOHDgzjeWLbj8WhSE04lRgAeTgYtairoVr+ToKctr6NG7XrwXQiTsAgaJf1xVmcC1Y6mLCez6h1JKapwUZCbbV95NvMhQ/2WmiU0durIJcYNIEiD6xlkFlQkyDWZC9BCplPfvhGaQu3C78Icga0dJws1+PFu5bvjoNFL6vfNfKB7LmGLswuPYfVkJP7zLhD3I7gHjZ2c68AlUvRFPYQXJBhQlyjapuPkvh0wNs1RW7Cc7NRdfNjUrIFVdfEbClzhEsX7pUgACRM7a24bM395Y2RYC0hsvlglor2rZZ9LPPVd9+Bjmep9oMOc9shzXhi20Hzhw4c+DMdfsCceZzKwxvG8Cs+doBY0ObCfUJCU09NU4XZItCHoVIJwxAMqPmLnAhwMlgANQFoBBjWSrO5zOW0wICWVRta15wo6Gt2+w/jFVEjoFG+crOJFgEUw26qWnccSrFMsiP+85sg6mQwyc2oJ/VUu+ab+4K18TSgbyKWpg2zUw6gFnQOP1088wRYdDWw7fZ5yFNeDkfo3HN7pOg4iu2tGiS5V9HKhL7F75wgKqYKbc1WObzBlKA2cyUkQveLYrkPtEOeAGKHMFcbl4kALUwTqczznd3WLfN/IuINKiGrTUzLZY60URvvLtaARC8HHFvs4+RRubuxJ7P+CINjj9x7cCZPtADZw6c6bT88eLMj97CMGj9wbiduZyhYAQH2eYupvA3Py9ChxS4YpsdY+40fwohcMYsVLEsC2pdwMVMYxGJ3LaGddsgzcvBStf0aBCsnp5EKWiD3onwe+3/ss/+j+2cx1ergum62PFsCGgCmQBH6lAESkX/Q4hb22ZBBkJiEAFWOpPU+uQ79uU2vxx92hcb8Vv6znSzmS0e5yZX33RGCsDFx+mCRogKaASCYnOe6R3zgCi19KbQ8gH7QZBhLqaUteKJdR6BbeNDmoZ1vfgmNBaN3lpDdc0/7r9f7SVvJWP4i1LuvjwYL/3AyO/DReMpu9ejvUM7cObAmQNnhvN/NDjzIoVhUlxecF1nzt1dwvSHcbzBEd10lH8U53emnvqiw5swH7GVhWWuqOzBRiJYHy5Qwqwph7Yfmr4/SVU9qfl68CG4AVKPCvEk9M78JIgCKkkHtZUOBX3CLAbT8ke/XNus79tqQmw10NcuyBIrKOQradfIrwN+MAlybMnbA6S413LRYWWlSFCK+8T9Q5i5KTZu4NI8aty3+eUebEUgFA4ToWnUTEBrTnIfT27aMhQ/Qawopj9K32f8HNRSUJeCtVl/w4885rrTJHC5dJl5t89Y1/xpFuTnaPKHknDdDpy5HvyBMwfOvA848w4Whqf2S3+8EXoU7X4Dma6/ebQy1A9JfheFLq6Upyi5etVNje66qcm2JFU3RynMIKUSpWB12kWOh6jVSVC5BxANg7sS6EnYybRa/9Dvue8y+uTP5jzrV2smxOu6Yr2sJryXFQ8PF1wuF1zWi0XntmYb6Khp3ZMgx4NuzSLB079ciEvJFQBzAUfRE/LCJ4GvsK2Cx0hrAntte3ugyAYiRmkKKQVc1LYAFgFc8ExwCQBDfdUjPvWWGr+huf9SFSDWDnYONBH5HbX4GebL1GarysKEQozC7L8XQSMPwJIG5Qr7IZnn7JYwd6Gf5zXSzeK6KTJ6f9uj3WgHzhw4c+BMn9s4/uXizIsUBsKVBNrxRzpW4IE3TLl1qzXFaPoLbdumrfn9dtvJingN+G6qk2Z5rv5xNkMiglHcH8d2H9WGTZDmq9G+NQqXqBhTZccVVj4WUDaNnUeBdced6a/igu3+Qq+sZsVCwgRp++81ETCp5fiq2oYnIPOnet9aaym0l8uKy0MX2nXdcLlc8HC5YF1X2/FNIiXLI5E19N7uv9wtXxxsfDyrTSaz7TlfK+/McCZ4qi5hZJXPSimonl/OZEFSzdPNjFaWVsUCaFM0dnOwP8tWHQVg26CHl2pCK+rlVlc01b6qIasVbwBbQFwNTIptuGsBTcUDuxS1EZZSsFTGulo9eohC1hXb5QJZTlaqzbcmHlO5goY+k0G0LsIDOTV4yVdswRVzG3nhVnvOuuEnsx04c+DMgTPvJ868QGGIrWVvqd+9m8bzOl83diq/HyOOYzvT8fj87HziIPQ7fSrNPJOZLjhYMKRT9b7m5Iwf8qkKD5G1yq+gK7Ca52dEq3lm7ZPs5MeZYWQYmDmQYIIg0nBZV6yXCy4PJsQPDw94eHiw46vl/a7bmuYuW+0EUGrSLA1mNKcija/m6zNzYkPDijUUazuvsAttTSamQZBbE8gmmasdvCAeSKWkEFIzO5IaeeP5G4GLbdbCNTaqMfNkgMjaNhAB29Ymmps50/LrI5grgFbUygIz2RwWZVQwBBvIy9TGHgIIPqRBzx9M2v3f7kce51mHMzI3fVgZzKwRKVR5eb67tTL8ONqBMwfOHDjzvuLMi10SXbfW4UjvQFpXps6FQADpN4QPVZ1Jbtxt0v4Hc5ug9VPGawmpQQa0ZODNsNKwiY+3fWJmWBgeEZdFYI4LdH/fp5h29wyCJEOQCZLvAOMV2LzzqtDWIGK+w00E27bh/v7eBPfhgvXhgocH1/S3ZoKjkdqkI9Ed+HA1J6Qa9Uwh2lyLd7p4qhNprBrm+ebC0NIgbXO6eNU2sm1gl2VFKxXMFtjDcCFVDzciQHeANk5+KQWn0wLGHRhiUefMWIr5hfUSkdSdi0ZBifKy4SO1ntuzmQuYwrfJYGH7mVH11cWGpYoV24m+hXDSvrPBGLOQdvnYnfssTX4EjI+7HThz4MyBMyNjvB848wVmSXShjM+hBxmT+KDdd0ij5p/Jtj0X+tosGVHNPfUmhdgFk9Lc5BMYQhz7wu8EeQoceZR6nV2yDcLcD4UumKfkCHrQz5h163clO0qKTFmyqm9mHny4XPDmzRvcv3mDtloKU9SaVw/OKcy2qcrg8+yBQh7Ao/MoeuDNDExAmPUIqtdbCIc1VsS2kAnfboMdgyqkCApXlGI+QhDAyh2sojDLQGHPukYpfbe6k5xQxDboqaV0RE3a91xxHReSQE+RU7vMBNxqwtdqu9i11rD5WLZtA182bLWBCmMpPRUrNiqKZw+zjifbLNVvbfSMWx7twJkDZw6cmdqPEWeerTD0mNHrb+aezN+EeTHe232udaMuwHHLrm8GDcVNaKZQ9+Ahdo2fuNcOJyJI06kYivq1pjZea/pRi3zfxikc9bzYL2Tuc0qSfaYutoBr/fk9bJtTcgjzYi6XbcPq/sKHhwcT5Pt7aIukIGvM5C7NHrkb/lXVBgF3YdxvmBOR4GQAkAFGg0CHRiw6mG99XAFa4Te1fwkqkhsAE/nGOqo2MWTPne7n3B5bu4ootnUFqUK2zVKTFoGqb1ELgEnjwUlPJaA5YInY/vbsVffCbNoDrcI/SqDWIAqs2wW4APVUQQWo1f2UlD9HiMz+mTeG+Q1JHNkqxv9Ye5vgfmSuiQNnDpwZx3XgTPT+/cCZl1kYXBp3SmQfiprvaGbdLtA6+BS7nwuDEPifAln2a7gerh/a5Hh1NAhAPXUF6Jp2utdutF56NAZBc0ZTrgyCSfeECHYeaJDPVdukZP/QYVKVyM17lssjIthWF+CHC+4vF/MjXtyPeLkACjBZmlAhzqp1xnBj8EwENalr2prj0QFYUyDdRJg+2WGU6jX3Y8UFFZuW9Of18jE5TP+Pd8djUmLKCeRlWocViQvjuq5Osg6MpdqPQGEGB5v496Lqe8wbIDbd7HqmnGaG1favHjRVthWb/zioKLZ1w3ZZUUqBbIJ6MjrPq5RhvtF/F25Nc7L2o8KoM2PtefUjUxayHTgzjOjAmQNn3h+ceblLYhLi/ZOvpWZSgq46CsA3f9nvHW8Xd8EO4UwCpqZqPq2sGAbsdnkb/X9J2rkbYQOLZwQzUw9gAQiUKq26pOv1cmDqOxJk4vu4d2w6s4mY+W/bcLk8ZCTy5XJB2zZsrUGloXIBwdJ0uJRM7QmBylQjJ7rRQOYxDULRS6T272gaByW1MsAJvdDM6FfN2uw+thDwWiLiud+fXDAUmMrVjgKpscJTgbQNtlGt8UKJoiel9zN/KEAQNwurKKgBpOz+TNfdybT/yuTmQsGq/jwILpcHcC04nVZUtRVVcfW/XbMOUhjT1hz04QTN6Oejvyr79rEqCmM7cObAmRzHgTPvC858oTEM1tmej2var60IovRn+BiNt21CuRcMR18ZyI086t6Ieh4vF7jJqEf8qpsDAdNeoUiz1mQiJGeoaz29H6Ng6ljVjJpqvNHbEzBo3bmwITOptdZM219tg5KH+weLUr5cTID97qUUlMV8bIULYivVcWETWnSkB2nUeVdx4eKr7kWXOxA4vVQHIET30cZU5jWu/XPpecmwEyI4KeaKh5VFbGabTxhAhkBQ3302jjWvqJKridIjrWNQxLEyQaZYKUm/PxQKNu0/eMfNq6UTAtIEujWgSVfMyWgQOf46bAgT8nlTTMclVHz7lIweisIz2oEzB84cOLNjoIFJfrQ483yFQeMlgoJ6pyhOIHsNRY5u2xSHm7XUQk3xNk11HH960gYTG7OZe0op066gsYWonZp6a7+La+7J/M58wRDJoIO4hm80tFxLeRqjW9VBpUC2hq1tmUMMJXCx0qzbtmHdNhur+uYt22YpTJcH+84LvRSP/FW1fd5rrSjVhJiJU4tN1V2RwkNEkNgJrknSNjeZQRcQu0VPrRmFc+TCEOz+Z3NrAkpZTY0dEMYKaDEOCwgzU10AlAz96asjmhh/7lPnhVxJwFPRCKjMIBFQJd+tbgNpAByDSC1znRS1FpzvFlBhXNYLVtFMq7LQKCvnW5fqm9Q4mCt8Z0If125lB51e5vYOcvrRqRAHzhw4c+DMe4szLy4NTVcHQpu3v1F5SYbJ7125UZgAA8go5oiyRUT47klh9+JYMahp+NDQVM3cZs/cEfexRv111DRDy+yn7TR91xTjaNRaJ3StOM5WUTRqVjFtXdF8VbJtG9q6+V7pqxdWsXzgUguqB/JwsVzk4sVGCOYrU9wwiYYmrgpVNs1XNSuSTSOaaBNmQnL/ZP9enb6B3vGZAjxckEvpmj1T1Icn76+vxmInvJGWMU9DfxSG8eMKg4EUpoDanD7tvMlMgJjflUQGTFDYDoXmkC1gVC4QBjZmcBSiUTPdigjgtf5FxMYTc2pLga7tU8fUTriBxT66X/3P1w6cOXDmwJn3E2deWOnxsQ+PXfBUedfBPOgUuX3uUOo1JAVGTnGiW0WurinyVPFs6Oz4MlA4YKaga/5E4VMchFxncCG/WD0/ufAQKAS4FFgN8XW94P7hYuVUtw3bahvRNOlpS1QqmBhLXbCcFtP2S9eqQZzAZeDhmrj3J4uIIIRPUkuOHeiIgjb7gYwa9gBGarQOYUgfr2pGTJdByw+z4+Tr1THSnCKkrG+kEo8i8i4rwJYSlfPhJ5rcC0i9EMqwCmsu+FwAEkXzjX8UTi+NZ7qWD0IphLIRGoBV3cS8Ebb1glIZS1tAGAOoXJSDf2I50Gchx6TjILM9yuhBhOkjPXXuT2g7cObAmQNn3k+ceb7CkGoOho5Yxau5c7q7aPdpMAV2za3nR8/X90jo0OSNfj2tpTXJAiRRxGO8ByVFCfPKJG82fBy13hDiRyip6hHQSAEPk2EpEXDjQrxZVOz2sGITy3GWZuxcuIAXKxZS2UueLgtOpxNKrZbvTSPFKHO+xc12roRPgoxBWyfEpi5hFr0ezuire4x5egR6gJubBAsNpkL4PcL8Z35UK5Erw6oIkBvPEVE0tQhkntKifDZ2nYupUgBF2bFOoQSwz9EmDRDPySZAI9VN+2qBCOYWF4GQrcpkaaA7+MqmWISzwFOz+kpXH2H5rLeSTa/Owf7rj1BBmNqBM3M7cObAmfcIZ15e6ZHIhXc4lt/5a7fPDGeYY2/fzyuhzm/S82TPuxJihYamhtD4Z41zftDoQxue7gAxY5RPbAQzAVlBjFILxiTAzAWVGZVdO299l7fLurpf0cyJhQh1WbqPtHoZVNeiS635feQsJ9AoUoDDVGipTrHbm2nEsRrB4FuM4iNz24HeuCoY6Tj4Mf2svvlKKf58JBCMwKtaEDX1iZC52bECyBeyQCIWRSOFCgM6Rlnv+tRnJwHKQtLcAO2fGba9LIn7dNXAIgAxWQEOvqLYZIXq2XKqa8FSi/kr1wb4Vrs6/2aAiLri3pcJQyOMZvM8duPtfN3H1w6cOXDmwJn3D2eerTCkmYn2TxmELDT1KUd6HI1zQWr6Mt2nC/Os8dldXNdyU9IcYUu9QMZk6vLAmWHyp+9vMez4UL+/G3+yJ6NyDfT64yDb5KVtttNb21as64atWRBSKcU2O3HQiQ1Ucqc2inQmS7OJHdtAcK09TIVOvUGQTYjDqBYneaAXtKdGDZG3of1mQNLEUzNNaHfMnuevXvd9IFFGUseTRBilSILSSD8Z5pLAEBaQ9Chsm3dJoBmnCNORob8UoyBUBoQLChqkefEW32Uv5Jhhft3m/sS22da9rTXUWgFY9bbiBYPHIC4NkB35KFacE2/pjc4+wnvPtRH+hLUDZw6cOXDm/cWZ5ysMw6TQNGMvep7fLG/16Fe9aSpLUdYzao9HcxnKG/a+jow31M8KpnXG37t/srypPyTStsa46vR3htYpkiVXLX3pAmnNGEPVzH/LedjO1f+4WA62m9am1Yvz7T6qWF34FMUBB4g87FydQLNkKzlNrjA4zkwf3tPNwNyBwFdS4U+NHGkD8dlPafTS6OY4swCAAu0CJQJVtrQ1dUFWBdyPmlvTx9zsxtIJ4rhCw+YyRBDfqRANnktNHvTFYBgo2iqlYb1YTX0G+b4BtpVu5PLHGGMHgRsEy14NvxpvoXKc4iChN+/8E9sOnDlw5sCZ9xdnPsfmU8B+xze68W7fFL14Rf8MjNNC0xHt7x4dk5fW1LhHmKvsbl1zH/pKKSUh0zmwXLWoTmzRwcKv4c6VEcHctg33Dw/Y1i37zMxYlgV3r85YPBq51tLzigFfoWAyuQXF4Mezd9T7ZMLRhXwcqRIBWpKm9pw5QCww6wb2zU0xAAUMOHzPd3LwcUo4rbogWyaRQojB09h6K7CSq0QW7UxsQi3MvsWs1+p3Mx3IoVXn5ClyoDMh9uEwo0CBJlAmqNiqJZ8JQiHbLJjjfqLYtoaHywVgQlkruFT7EUlGIQunz/ry3v9JSkbCEiir8uwb3RTam2bvj6AdOHPgzIEz7x/OvEBhCI0S3lnnAMwBPgpk+olNmmZQRm4kF0OZOIryQnVmpUG7M213Dxw8MUwJM2AQzZmvkGn3zNXLb9p9mclLbAAhsrHjXIpE1CwnCv4xDR098GfbTNvf1rVH6TJhYctrPi0LyrLg1WnBUhcPmvIRcOQ1sy9IugZOo5p8PR3Wb+192jOIKqeGPOn1A7/MfPI409D03gV1DEDK1ZDv4EcdkM3nxkM/gWkJ4HBdFOZ3JF/ZsAV19RUAUDzFTdQKngS9ozXRgcmMJgIFw3PpFV7OVXIBqLD678upQplw/3DBelnRmqCUiuW04OGyop7Ii7kA7bKiUL354zKW7OlrkH5gpPnkN8UwNcPq4uNqB84cOBPvD5x533DmZS4J1ZlGCObZaZPZdQb5FqNpMqHhpKGj8W+mwCBMgzSevuvT/NqZJ/UsdH2Z8nkBQuwrhlDvU8bDnzV2N7S6nHyBBcUK2hq+xA1EjGUpOC8nLKcFy7J4RLJFJddSp5QkhQkEwbV+jNNOT8lWMkWa+WhkhLi++0INV0eT2u7mT38E5TMpn5kLqD2dpyMD9yoGs6KLkVKOW/KrOF92KzDfwY4YKgouPQXM5kit/rvf0HK53cQo8HR+O6eR1VJrztDmg41Vit2vtYa1beBWwSJWLpd2fs6+7Mxe0o1316uB8djThz6WduDMgTMHzry/OPPy0tAzp934+nmaSowvzDrXY6OZBgSM4aKjYI6v2QuKamnOzMNtQFFC1I/4BjNwDTNKvhoQkEfpDiVPfWc1bTbRbbXSqwygloK70x1ev36F0/lkmn5h1GrRyWHyy4AqGDMVLkPvx9cnie2vsfrRgV40AR0RuY82TK5PccvtZ4bgJk1pnu+bgg9fEwzR4/YZOfHptyWg+Gt0kXwXPN+6pa/CVH0DIlsRiEdHQ6zCW/NxBp3F50zcLx3l+fdUSP8u7PrWLAK9lobSmgtymEID/Ptd8p63br5rb/MbfnzWhaEdOHPgzIEz7x3OvMwlsRMK0DQGPIP1pma6p84H3t6L4VGjEHedM4t7YOjvwNWTyQqaBT8iGlhaOosAr3oGIM2IiHMbENExpRQspeJ0OuHV61d49coE2aqRYSho0qmjsIpkhUr3HTp+jbSIqOVk8D1NJlrc0OhdcNjBMMuuvvQHKUF3EOJRmImu70nddxqDI+rHAbgPdBhHYrg/UIx+VmgFFlAkyIhsACAJ/rT5Mx+jr3G0p38FeMZ4+ifrj9WmNz9jay39xa22aTe5BKU0xY73GuUi1lnDeapXdPrYghsfbwfOHDhz4Ewf1vuFMy+zMLhwJIExMIMODETXrPRk03mgYRp6+iYDUwDJWCnU3tfbzErd/KSaUcbSrOZ8nwXXNlVAjdDa2iufiaUQ1VJwKifUWnHyYijn8wmn02K50j4+qAvS0BhR3pT8u0FSr+XBZXn4YvAb9mHS/mvMJNAJyPq/+wfvInIVVgY170HDPOtwjxGBaH47gAy5U7TPu61aIsBL/RpSNx/67akZzZRlBuhdr1VgEeWu+cNXBgHWaXx0+zARBv+ngW+LwjVeKz9L16a0woCcZobfi6TeeveE4I7A/FG2A2cOnMl7HDjzPuHMC2IYkLu69cjfoUMp0C96fl5ys9u7e41C6eLa+zIJMVIr3WujsdqICmax/etUp31g7Ei1EVVsni+rYpp+LQXn0xl351fmS6xeSa2WNP259zBpNAqQbXBD6WvsmvRtUtI+Lyuuo7dNvhdVcemYdd24bM+JQQWdJqgHE/XLnjQP0w4mxlMDiAKk9veOR8cNnF4RgDTOK5OjDPd7KxlASvJmmITHoepwD3t2YUt52nzZoW5CZgS/D7TJcQwDfYIc+6/38Lm/9Nmm95+QduDMgTPTHBw4817hzAuDHjvRp4kdzCX9hHeRaH2aDjQPy7cKycESxTan8OPcz6MuxGkWbF7GM8p5ugknro8d4wDT+hgAPBd4WU44n854dT7jfLqzCGXu5qbcfY7smQT1Km5IyTO+65XkI2gnAXOaZnqUMAk++b1JwBjYNUoHdWLcZpTEZJ3uG5SeAaBftAegsVCfAReuliMBw6BeRme0dtJ4HDB/IhNU2ZXwrokTE1gUyvYwdtAiCVC20rGA5TjnfGAo5sMMor7BD8LM6CVnoQAXX1WG5s/kvDOvgd7W3nbOx6YsAAfOHDhz4Mz7jDMvdEnsPwyTcmX6eJzxPl+j4V9MDNkFGJ1RRq0ag3kwdghzQZ6e4Bq6BSJxCrjNl4C54nw64e58h/NiZkImHpROuz/Fzm2EyadF0a80MSXXdoZ6F9KM0zHdI0yn9l5V8ZwH0QCS/fPb23TOyBeKyV46zhOoK+3jMQAZjayKqMlqO8VhKKxDsMAlUrAyhASs8Oz7uTuPmukICcDWBJZF3T+z80UUwOnLE0Rq+GQ170Pvq5xb7S0Lho+rHThz4MwzunHgzJ4IP3qceZHCYJrUtQDnhKTG+ljvPAgmhiXG3AUWfUq4xYRIQS1TTm3XEEPwzF1lB6Om+T5oJMqprpdLblIS1dBYYeVHR2r7dUyE5XSHulSclhNqqSAX3lEbTo3R37MDTGzYEnnQ44wGVWPgfV+0LFQ7EHOkzJDHvdMjrxlGr+cnnrkb686eN5yvU7W6t4t1gOn83KtRDJhvIx1q3aV2r+MJ8UXfqCZ8f/ms8C3Dd7oT6FIMEDZBGyyGlEJpt2Xyoi6gXBG21iz63B9wWk5YtzXHI6H53/g9G8ceQ3g75T5e9eHAmQNnDpx5P3HmxaWhCbvekv+zO5aMObQYwK3Xxx+8e/6OQ+PxYeIjUN8Oldjm3IOHInVlXVe01gAgN17pwTUEUNRW93KeRLnLW6kVtVYrARp5vfaQvBagnSDtJ2VenVyd5f3Ya6iPTe1j2uS+heL81PdPPeelbezXraAwy1W/QZ1dR0LZv6Wwd+FRIMy85NcQgaEZ8FWUIaRozGBWUHMg97lXDBvVJLja6kI9CG1m3AHk3Jd5kw7579vnM0zyH2s7cObAmZe2A2fGYfxoceZFCkOUx4wJsM50n1ie+whHXLPzfP8YAe1OGINU5j7BTXi+KYpHvubuazD/T5PYze2Cbd2wbReoqu3g5gIfpVPTfxYrAt+8JbZVtfQkznMQyqZrnTR0k7yq3LTfPSS10plelHOdle5uzmg/lncdNfrHkPEZ0vmc9Ce68e7p857+7rHzdP6nHx2ih8mFiQloPtcIkywrIFb6tSggzhuiQIWZciuxRUfDA5bieTv6ibbc2lhVbPU29eoj/oX/gtuBMwfOzLc5cKb36svHmee7JNIsuDdiBAN2YbZ/dQpGyXNH0xP53aZgJvtn1oxDq+93ibPMHERde+9dBQHYmgnwuq64v7/33GfxXdq4b8KCfi3inoMZsfh2sgSkiZFJrQDILXL5vSYTYh4f6bQf00iptwvOU+D4hbbE0uc/4aZm+8R3+/P2wtwxSq/Os1WXh0/5NQwCyP2NHk1uuc9AFYVqCK/nTiNqxks+V6FAE7TSLF9aFWWSYu0/bAIQD12+nsSjva0dOHPgDA6ceV9x5sV1GLqWGZK19y1SynY2nW9hV3dBp3k6JkEdpL7/O5gtc0OUYDSKgiENWxNs24aHh4fc2Y2IUIvvD19KgkkGDsG2F41gkwjiyT766gdKUNYORuimrPQ30vB+XCvpnpb+vdNvXOj0qxS7cGTsqHxtMszPuvv8SNsDLz358erZejXPk4o+3yW4nYZjuDFmwE2murNGS78NTPt3xX/og/9wMKGoQslMhKyKUovVwvGVhECA5gVXhsAxwOvIbw1t26BNACp9laQ2L6rqvvcb7VAaXtYOnDlw5pF24MyXizMvUxgGKkWaydusSykAN86bLYDzeTsWvdKiJ9NkCBN5zfWxctbWsG4r2tZAME2+1pK5zLFlKjOngDF3M2FUThsDZAi+Kph6Ge8HgXVU6nJHAwjdotX8/rH5v6l9J5DduGASjyfaOzDb7D98t0dcU27+HB/2NBm/1wRYe0/qxfF24MJkG8CwMopfIAKUZuVgVZFpUASy3HgRoDXPjZcuB9r7Y33rP0aT9n+0l7UDZ3JMB85cP+/AmS8PZ56vMGjoWLNWFKkdnVX0mtFS0HbMtBfOSVOcLgelRtzPv8XQIqbtXy4XtHXru8IR4XQ6oaTWb5GoBSbEpRQHJtP8ix+j0D9Vbcc5is1k+soAgG2HykhAAZB1xOPQ+PkRIvtf5HXTRGt6+uKbbdSp38UH9phpMI++4JY3u7+X3seeg/jx0BSgXhFNe+CWxpnDaMc3RIBv6mLR5wqGTKtH3QGAFXBpaJFPD0yLmTFo7JmQebTH2oEzB87cuu+BM+8FzjxbYbCNOXp+cTSiTlg7EQBi69adjjZpQtyPk5Ge9NpvSaSIgijAbr7pmtFUBa1tuQ0sFCi1ohTGablDKYTpZkRgtoppquYrLNQ1fr8ppHmONNuET4E7zjw0ic2uo/2BA3i5vph0eVxIH/Xp0c23o/759nt4m0DjbQL8gvbYNfvjt1YA4wg4BPgxURl91IqeCjXeX20HOSHLfIYGMFs+dRRbGc8HYJHLuaNdSHpsabtbhTwy3vzyx7Qa+BDbgTMHzjzdw8fbgTO7L38EOPMil0TvIA/audge8CpTHylLWXj1seEOwcomRwR48AcRAzSb5CIJ2ll+6k9OfLM67ABwWTc83Ns+4xahXLGUBbUWEFv6UwYaEaMURqFqRTJy+9cIaLGesmuFzMXOA7xGOVKIozK55T/bqiKAya6Z87X7ULxwyzSiK4IPB4aDRB4hPdLjOVxyW/1+m6A/evnuyTPQP37PIX7tBoNHsZToWzcF5sUa3GXHVf0nJP2DOT0+DwxFQ4PmLnFQAYmAVQBRsCg2UTMjKrBwwSa2p71Kz0cXFYAJrMWeMawCs7JK0ILC1OwUlidEfVhSaYzzI2sHzhw4c/sRB8582TjzorTK2Fd9kLTe4WB+EligSJ8AciHr4jvqdjHZszbcB0S+MqBJE8tz/fTYU3zbttwFjlFM+Jjt1euAR74zE6NgfIVfR/46DJWm4Q5tLDjiY9DdhaoAsddop0fuM5tC+73fLlz0yPv9p8dZ4rFnXF8xxUPthDSwbS+8o2A/GrATjwu1Hbder3utuw9hPczLJpVcfUVgXxCQfsQOtpQrjDDtkt9HmmBdN3DdQMSWSx3jIQaYzPeYsH49ioEDHmnDdx+hsnDgzIEzwIEz7yvOvCzosT8hH5S0n7TPa9Z4GTv2p4xFN0znNpAwZjGRi/rbl8vFBFnMvFhrQS3VfIQuiZEaZVW5GIUt6GhMlbLe7MVzoOvbB3M9FlXfV/3xG6Qm/A4/FJMW/WSbgeKRuz3/ocCjD/68W6nGj4d9GI5r/HhYH9IHS7OI3Hx+sJCd4c+xZ5XCaOq8IIEK5PJvQW6XhwdQKQAYiuK/M5TFVPYV/3oAGuUjn6LKZGKnj1JnGNqBMy9tB868vB0483xWeEHQ4zO+D8GOfjxyjQ911nRp7vVjPDkGgYDM3BMRy5a/KimstVYzEXqp16iqRhRFVKKQyj5YKiajD27UZkMr3Hd29qXSFX+PTDma+Kbv3jL++YaYJnsyrT1Pql/eboFZR6AXYNCwPBpQaNoSNh41CHQXWjulfzetA250uJ9y66wO5JzzlkMl8y22tuFyeUBZTih1ATh+IGJzIu3XOajMVdksQvpmFbzxvIEs7/Kj8UG3A2emoR44Mx47cObLxpl3tDA8RrTbZ0Yn+7+D/zD4WW+tGmh+DM3HRX2PeU9rMt/PkK5UqwUaEZmWmD7FiDxGMmCakGJorg3S9PghDQaYeDEa7xh9L9yTINwc20vamGCz+yYY/0qgn9Y7X/j4Z11+pY2PoDisdnQC6Wc8/wk2nIBRb0jv7tAYiT7+WuRbjcj4hiYt0ZNSs5/7YkJ83R/CsPDYdwgdqJ4vYT/J7cAZoJ83tgNnrtuBMz96nHnhXhJdzXxMKaEb7+fX0c8YN6IUEszfzi1UIdUuxG2DbC1rthPM5NPzm3tA0RgQFJ9Dg0+fWWjP6gSlXW8eYTR6hB7jydPubftRRj920/dcDb7nb7+tF+/enmKsJxlvB4jjSgG3aIvrlVAIU64MtJ83rhQiEOntYxkl2aq0TZ1woI/VlKhCtwZZuhDvBx6sQ9Tf+62eFsobQqO45oWPoR04E324MVAcOHPgzJeLMy+2MCRfpVqjOwbRPj/0UuYJ89rtAeiwKYd4dTULPmqQJj3IKP5gwlqLmQuZyIqnRJ32QWkjpKcyO25Ryv59Rtq40OhIjP0o4m9gYA1hexlRVPXZwnzj6s95/dxmYRyO7/xqj17zjLavfmaP6j8eIYD7Aiqq18L/NkHIrWzRI54trSn6HQDs5mhpV2NLA+EIxEPE1gRwOvfoKpKdPu98/+S0A2cOnPFb9+MHznzpOPN8C0P0xdWhycc3fg/3neyUulsrgvkB4w1vnaEDkYzorTVsbYNuYpPI3HNbB+YiT2siUGr9PeUqPseTQ9C6wNHQg/2ahIA5WvnW0B7/6lntuZM7ap4/jvZcwd0H6Fg/dTj+eJ9TiDXSk7qwp76vdhPd/Q0LgrjZzGI3Vxo6nW/PlF6JLfo0LOIIyEIrafIETTJwa2V0Na9v4aOPoR04c+DMvh0402/1ZePM8xUG9S05R81M3de2Y/h4T7v3ITihTsexKa0Ij1QKU6dnM99Oaw3a1IN6CFCa0lNIYeVZ2autMZvfb2+2ghM0+0VdMF3bV7UVSeQxRzBJhKAw48oUST6RMZbJdxXHb0xaRubG56tzniHQzvG3/Iq0+zxTepy1ZzzpGSY50O3tc/sRI7ZqQLX/p90D17VzpIav8dk175HOgAlWz5HW4bPTReDPoH5PtY1kbAUgUAhEgG3d0AQgLZZ3L3YP4h5+pFA/Hh2Obzj7CcwUv2kQv7GC+ZjagTMHztx40Fv7cuDMjwdnXuCSuB1CEc2UnW4c668jQ2j/joBxoxQM59E01Z0A2sS3kDWfonoeNFzQiDR3k8tAIp9Yzv4NffFVxBgAMhZwuT3KfV/RI5Hfwvmfx2x3de1u6TX3eDi+e97+rL1g74881dt3+Vkb09du33Svrs9P1P7WTx/Od5KE1u8Lgg4EftA2j9MJFPrjtb8qQKqu1ffVS/54UedUvdFvHf5w9e3RbrcDZw6c2fXpyR7fbgfO/Gjai2MYghgvaSPT71OKbk1oHNs/RhSQBhfkBm3Nto6FBxdxtSIqVMDTf6aFB+/Hq1dfzWfGqiG1/vguZuuZMkiPvLcxdTDT6RkdsB6DkUmY9fbK4e3tbZM3AvZTI3nkVp+rT9c37Fq/Xsn4JHS37qlxTx2eMJgRH3tmPs8q+03mx6HFz8AMqNd3Jdwm1bvI0sfSDpx5/nhvje/AmVvtwJnP2164W2W8DianURl13opKZqMyTMnAcK1/J+BTo93gFRDtJhyxmuuu5vmWsb30aaSgjFovjSGk2vuYgg10H5e/mdj4cwTaPD7O3kYhHYV573ebhRnA2zTpfiX2XPMYg+37/a7ff572lLXsZoTyzfN35sUUfAzCiWCjvDfJ4KMUhYpAlfumPjdaBCUlm2nn93F+HhXoo/V24Myul89rB868vB0487L2/M2n8LKJp+ndrAfR9L4PmLAjVBBeLKo0JsLklAAtLrwM4pJCnK8caU2MKL2Vz/AuEQEQvyeGYz7gMdDoZiGMJ2iQw8D1hN6Svtkc2E94Upif1R6ftefDU2ipP0LxDaEbDwApcCl40wVzf66FPCR11Po1/eR9Zsa1AewckUHzlycFjgbTbfBfFC4eJSB8l3kihsXw0Q6cwYEzB868vzjz8rTKG59H698tYSb/lwYJMoHaa6KUDGsamRG+Nc2959VVdWICqwsqcX+Sa/1MFrU8asn7qmk0TuRYEW0nODYxuzHtCHG9pWwwYQerR0N0H21foDC/DYVfcJuxdz+6Ngvx+Nk+9UCjWx2ZApZ08CsOxyUFHLtnIbV+ESsHDOU88cpkONig9xo+Te/t0/wjtz/raMCBMwfOzL370bUDZ17SXpRW+Vytf6/3mxDrzXMf1TOdWFYq08uxtk71SFEi9hhiQtf0o4b7ztw3P8+FZJIQv/9eiofTgeetAB5rPVIa+wVR//4RAVXXvAk69EvfAhD7WRtZ7HO2G/1/8S0Godhr1tc+wy7E+2Hd1ModACZT4fA+fyz2Y9GIdnaztAqs1vuNZ3QZ7gsJv19O8TjXeaBfZ99HAZ8f4crqA2gHzuDAmadufeDMl4oz71gaGjtCDr1+VDLRVwY3NGvgmh+7X8i0LyOsdIam8bpuIuyrgdG/+HT0dTxvv3rpdx4HfTtcSPE0CfzSq3vlx0GYY3DX99I8dcc3w/n7ZclTHXrRSTev+MJWALp7vfoiVoxO670w7/BtEu7hbS+2Zl5cl2jYjof2FauiuTDbLrK9c6O+bmmA9p5h/GdgDP9deOwnLj77yg7hT35s3j/SduDMzSEeOPM52oEzeGQG39perjAEt8ICenh4agGmrrCfmNo/NLXm3Ac+Bk2wCmvxGFGINK+ytmLzGu6RN8vEQOEUYiav6+5/5FQeU6sin3luQUggytJmAS3yfziCl9QingmIim7sQU8RENWFmVIY1a+NiQc5qNDjawgduXLs9V7u9+DnHY8scwXMd+rfy56xaL44dOsrU+jAcP2g9muSz322Jx9pbxJDp84V/SwC0IZnkIG+EhSmfZNr8gSbE9Vh23dNmRw+U/Y6opFFGyBtEEi7kNTmlwmW894AlQYixdYuEFnSz7iU2n+c1PhBSJyHdZgczTEkddNHPhjLh6CyQQq+OJD80NqBMwfO5MEDZ94XnHmRwhCk14HsJiT2+HHuyW0nOV2E9OWFjzGEOa4NIVUF1H06rW1ZmjUEnYmgxWdxUP/HvGgLUfLnRC+cSv74a6HA8GYnJQokME3amQu7uuDGREz7ueebcVoIGQU1wB92p02TS3O3Yhb20DQ/+Kk2zdjENle+TNwwY11z3tNtELJ+vy7wo5COSV+51tGumY+PJu/v9JxhfH0FiW4yjDNcgGk8NiBB5j3HKsCrsU20IeTe9knDRBQOvMvje5Ldev/RKgo4cObAmQNn3leceSeXxBipeX38ieuuPs3Cn74ejU1fxIqoNNtWVkVNiJnzPDPLaHTABdqDkGjUMNGFeHigkmtlU91VxRScdGMU81BnQfRhTMpfnDYG29LuukcItZe3t5+fB/dzdH2iCeyzpN79op+z3ejWW5l3klg70IX3XX5aGQkcN3viM8rd1DzlSO8emd3S3efdOfbmkYp0twirj2XKfxztwJkDZ965HTjzI8GZF8XVTGVHMeicNCjgqdkPSvTwJnwve8fQKMT21rWtUBdTY9cMRBqDSrKoClEq06nxPzUon4EpKOZJjpoIck2L/dgGTVWRHRvu94gw/xjbzXxjPEWHd2y0e+1PguJ2H67vYfR6ClL2272GuN7yRdrT5wszvz7eo/Oj+P3Iu3KFuXHQ+zmDdQjGLEePAvVHqi0cOHPgzOdqB87kGL5onHnR9tajT+RZz6Jrz1E0HQ6EUAK9NrdIQxPT+qXJcMtO7FGwg3hRX51Ggbmlig09MaVyEMS4bm8vG6/SmPfYe84mV9B9qqBJ6R8Jc3XkvWja+z0eord8fuFDhnfXvrMOeGMzChO5sI8+zRv6uzWGQmDF3K8fn5wZy7TRtjv4jMdfqcFbe7sln83R+vHljtPymqs7Jv89/qif1HbgzO6qA2emS17wkOHdgTNfFM68WGEYBToeepslb0lPTMigkRM8Irn7EiUDkayWe2stzVSxKuhpQUZwjm1lZ4fYy+Rl4NIkuq8sAPJtSp9KSYke3kKQR9XeL689JoUp0DR/vP31ixoNjDvJV6z4rlZX6OCq00HseayL2e74tBh7vNPTjwDgJmfX8Gk4nsK9h2fb79653Maq8RoifAN2nqDju9D4Q24Hzhw4c+DM+4szLwt6TGEenz4Mbji8dz/2DtEVZ4QQb62hbRvaZlq/tIZttX3oxxGpKJQUYPJoYose7isNzCrqRLlITnkJF3bhFhCglJGzRIqIi04aDQOe/bBxn/785/Ti9urh3VoK0S3T4PiMGwC9x8VHFVO6+fZmP+z926N0IzI8BRsY9pkPmuoABJrH01SYR+f5Vx3nKB7o/BTC7Z9jlUl+ju4mJ+LGE38mIe491PE5Q38n0+St38KPoB04c+DMgTPvJ868ex2GWy0EfGcmudJeCK5f6cBYQNs2bOuGrTWINEgTNM+PsaKrPgHapyOIzaCeShX3hDr3hekwZ33X5127uWIIqrofbH+C9uEPg8QwwzfaFyGan789xitXEcu3VP7HhvDCoU0pTvtb7VabtgscHlkJ7O/71P37fe3VYt4JEfueuVnZj/Sv31DJO0d7f4YXUAj4WLL1cSJF9P/RbrQDZw6cedvxJ5712IUHzry9vdjCAHRNibHTtuO83atEmpInU6soxDN1VRXSGtbLisvlgm3bsK4rROZMXlWFkpnu9s9kwKuuFVBuO8ugsaa73WSY7hDqLmhmUlIQd00NaS7ajUqDocjp4AN0DlNVNBk2n3H6jQankRknXyjQz6M4fmtSI3Br6G92zrr6InOejjry3HL8s9Kcj5rOxShATz0Hu6jdubMa32uA5+47v0YHoWFiNLRcXTGKza0Aioa+fBg0bj8W2rZV8vMthohsV0IqILIcfGZGrkRujvo2QQgwHh74N/hRbk3UDdn6GNqBM8OoDpyZHjWdO9zhwJn+1Y8SZz6HhYEm5ZZwpY5dNdFBX1ZA1dKY2rZi21YzE7ZmvkYRGyQb0QlIIU4fovsUyYlOTFPaRzKfdva0/u6EGF0zJJdoHSY3gGvMiFKyc8IUFeMP02CQQpKlRkHdQ91MurHQRoLOOPPPbQNwvWyx2pnyyqQ4MBzlP3PfbuvgV6ftbmtUug1X8/uYG/s8a9pBx9E0l0PIwix9jN1F6PfQOK9DBxHAhV2IK5g9817V5/9WC+CjkfEmYB16fhtw9YVA/BPZDpw5cAbjEA6cmUeEvPjHgDOfQ2Ew1TdSixUuH87glETV8QqM09Jaw7ptWB8esK4myBJCHKW6wKY9ey33QozCpb8yo3hNdx79QN5u7dCltwg0CunAEaqmNYJSXM2/FIyiCvXysPvxJn/ttFsdQHACkOxfSjQcLQaGm+9F+aBHmuIRRrvRBj/X/pqMXI/XwVx2C2NuBW1l9O9weIj19s9zNHIKZNBLR5gIwihUufvjwFCSpF8Kpdp3c/negP6WT9xTgMj2DSjFeG7y/+EJQTzaF9AOnLF7HThz4MyXjzOfK4bh2sPmUcWhj90KePEJiY1eLg8P9ndZAd/ik9TyUAGghLYPE6AQ3DqUZy3FBdpsfAB2hO2qnxPdg0gGdZtGDU372erae5hF4woaX/3NXGYVuVLYA1iwvw4MFYzWFwdhuupMw/69ulDTDelOYZmetWuPMd1N0JsP7pl4XKXsz78S5keem2PyPlgUcOrmdpnCVltjNxPn+mzs3XYKP0c7jecOI03BPbcZ/oPg5kJomp+BYCd/3u0hHe0LbAfOHDhz4Mz70d6pDsPcQtPXQWNV3PTjuZaWQryaP/Hh4YJtWxHTxsPkd4YxQS17AQ5fD1FOwPjIuc9jVOlYepYGpnOxyzQVBRF3hpqpMjGIOlPHFrTdEkn9OdE5jeOa54w6b4DgIBYZhNN9iXpduett2uitYzq+7Zx+q1LY1aU6XXwN7TF/8Rzu9woSEFJJh44+TDgrxbyo8YEGryl1OuxFSjlp0Xs0wa8/3O/jgsxsAsvMYAWYCWjwFDx7rqXlNagywOWaiEd753bgzIEzB868vzjzubMkQtlVN2mFEPu3nTF9JtvWsF0uWNfVNP519ZxoMeZlTu0cea0JVW4n+5gwO1eEaW9ceUT9+NgopjPgEFU6CNhTph/TJIN5+nX26bELe7DLzFoDaAWdJuyZaRlmxsgnJu1CMFy0E5QbfQqgG6FieNbtIdwW0qmrASQDdvcUsPG5w4+Dr7om6Mpbj8+0/OMQPCUFyUz/fo0BMxNBCNc/RDre1dT98BkKM7gUlAAO3RD13cXT8EQEIM7exXw8Ov1H+1ztwJkDZ6auHjjzpbTP6ZJA6rL5eSDoGMwBAG1ruFwuuNzf4+LCbP7ELhARcAQg95wfc1RH02AIdpqv/PlABArdYEiFF72gmfkpgo2uuK1fGkojRhOi/fu4qr1/vjFN7CwXt4y1QX/wrWtHqnqHiKDX6n/ercPVMC83V3D9BO121GwhCMasj4xzwPCc+6hT7h3oY+1A84h89ecMJ1iRk675KyPdguQP6itQgJjBylCRaW01mvtM6AFV1/yZLWKZb/tHo6BPAGZ+tzMVH+2Lae8Lzvzlf/yPsTSxMIfph0CTt+e+3rIVmJJAY4f9x9Z2ouzHf+NXfhlvPnl94MyN6w+cuU2aH3V7B4VhUkt3oqHo/sauTwNGuG0TbOuKh4cL1ssFTTaol2NlJqh0dg56hOYIImgUTSHKtKaIZI4d40YnVf99n3RKnzrFnupj1U51wSQdFQvNeixCBGbzDhKpb406N2eRPqJEitA2bwnU08I8KNf9ihsRV8GnMdYuxDdvm1c9KuOTyS8Aer8SiOd2LdjAufvlsm+4Bprxu/xAXVzUgVVzwx7FOI2am+r2OwcAJzYT9RXhcG1P56Is1BOpSbm1cNyH4u5iY+2aKiae0pEHnm40DOXmBjEfXXv/cObbP/gUp9aGfvR+Xk+ZDrw4N9r/67xHzt/xy8fbBhEcOHPgzHuDM89XGLQHzlybpuCmvuT1aTLhyrw2saIpm1dVQxCQoNoG6QXAmj5GIks3qcsJpS7gupgphyPVyamgBOgg0DHZmPRl2742mdCPizqzabibwGIaOqNPapgsiRkkFk0ttaIwUFLLnU2bjkYdlPKxzqBBK9WM2iZS82sF57haPSRXJZ1zE72dONCOKwjdP5mApU6bZKRBe6V+ZoiG5nPG/O5+fQqVau4fT3Glr+DsHLbd+/z6Dpxh+qPhPl2TT1rZ0K1yn0e9iyogiua8Sp6v3rRBoAADssm1SZTgQNyD1RpsT/vN+VTaBgZhKRXsaXWiYnxrDDubedV4JlZn+UXK+zgv8+sjGP5xtPcYZ1IGnwTaAWduYHtnbZNbIYDEByTjDwqwtoZL2w6cyUcdOPNl48wLLQz7cq0+qcMKnqBWvMIccGZuAQHuk1ExxjMGhxFCCCKUYKG+tUo8k5lQihezCF9iKdcDT7AZWXWnLACTFgo4c4hAVDB/4SMcKG2rDkohZWZUKAoXVNj3Yd4UiEdd+ySzrYRiWsmfHVqfiiQtKcqIptKjSEduMP6g91CMM8APcEGSnTZ9C8U6o+l0jpvQ4hslQAOQdOhWmM4I5DFAsblP0l7IlK7IdyfNebAFkacrafMVBOWQJVLfCGjoqxMVxbZt2LY1A4VUxAQ5FDsAW2vuWyag+Sv1F5ALMdFEHoW4sPoWyIrcwXACgQH8FOirwACqpOFAab02Q+b1V0c/tvZ+4kz8oO0nqb/dI/BuJidZGS7J3QvhCpCN5eGy4uFyOXDmwJn3BmfeOYYhIn1T6+SYQUDVhBZOAPgmL9I2SBNj7OqZqnYJVKVPUDAHtPsWiU3jKgVcenRpXuCvphDYRxHZEavPXqQ3iYrXk3egcdOP/cnA0z5Z7H5OJjAXlGKpV8wFdVnM5zn4PinzahmNKYu+RNxt15w7kFgEt/NcisJcuiOsjlHNi0KzdlnOSOegy6TtdsHNFJ99cyIo2V0sjS0K5/Z5z1MlxhHP9WcODK4KoKmvKBjkTkG7lbgg2orBKqbZ59aaKXNqK7LgDxHBum7Y1hVN7KkiLSlmQIscOzODxYBWfS4Q9COGQtEGARtz9W272Z1CeavtV1ov20F+mJmjAe8bzgwdczEiAPTJK5RXd9j+6LtA/ugwlm99DXJ/gby59xWsYPkTP43t+5+i/fAzqCjK+Wz8ta5IW7uz0GeffYZP6cCZ6dQDZ3ygXw7OfK6gRzMNWgAHe5CIbIotIzw3oDVPFdmcoZqXRGVjaDJtjYgBCjPZMBjq2rStACx6Oc1ig7aesqb9etUOBjrcNBSC5hvPtGZ+T4VCmk+iStco/e6jj2q0MjAzaq0opaLWglKqVe3K4yb0XIJWzkAuyGGyIwCF2SJoafZXUmiZrv32ACr3YPoNFTQFcI6myC7eXX+9mcceTJvXRP/i2cO5qp2B/e2kvY/CHOc4cOugsDUx4RRRaBMIempRy4hh8pWFbyS0SS/E48INishldsWum24LFTP3LRWFSs6FJD8Hocl/iFryAnZ0MpNm1NgTYC+0b5HIq/zxo91s7xvOZFNg+bmfwc/+W/8dLD/9TXz3b//7+N7/+e9CHi74+n/tr+Cbf+2/Arl/wO//jb+J+9/+Dr72X/0r+Kl/7V+Frhu+93f/A9Cp4JO/8Gv4o7/9f8F3/+//EeT+AToqDD/8DJ+KHjgT5x44gy8bZ16oMLheMgyIYMK1lIJaCBszVBo2wCaj2Y+xyIZIDuHJ12JaLoigpdgPPOARpP1HmbgHIEUks6mbPdQjXntA1BhE4oyrvgoRyW1t19V2rlvXLc1emQurfZr2ExmrkehTcQEutWRFOC7Fir/UgmUZIq8pgjVDGE2w2YvFcPHcXCDdIGGujF4QJKODzfgRhT80zV/olHbG240Bt/htt6RKwvanq68y7DDNV0lo+k5DF/5I1ZLU3BWtma95aw1bE7StuTBLCrVIc2GWYVXRNXpJAJDkLzNJhs8SebyWiqUuWOSEE05YFgKhTlTIoCNF3nc2JY/gdt1u/bZ0+qGbwHAoDbfb+4kz+xXy8jPfxp/86/99aBPc/+Zv4Zv/rX8Fum2gUvCN/8Zfxf0/+i3Un/oWfubf+m/je3/n/4Fv/Nf/Ktr3f4iv/Rf/szj96T+J5Ztfx/rH38eb/+X/Buv9BWijWV9xf7ngjZekPnDmwJkr6n0JOPOyzaeAgYnUmQeoRKiVcV4qCilUFuj6AG0EaQDEVgEUe8lbaChE23x//66g++dqatARfORCHMTGKMdpR/J+kitwXQkw89Lqm89szki+Y12TVAxMW6bUcmMSw9IAAkgltWsA4NVMg1wGzZ4JlU2461LSbMjEKEQ2NuKsLFdKwVYq6lLd3EiZ+02YMcvZGLEeAEyL78KMiWmQzD8z0ni3PssjY/cbpI/O/w3aCAXQUNK7KczM5uco3DSsvajO6psArbF7YGsQ17i3QaDtx6A56e3J7EAKIvNdKpI3bGwR2GT92UTQ2EFBelBSJcrAJeNpcoOo93sQ5A6jt1ac6qtXnkQ9TeBBOQ3XWVdir271EesQ7yvOhNwD1sHX/9Kv4e5Xfgm/+z/5G3j4nd/FL/7Lfwnf+tf/GuSyQu4f8C/+9/8uTn/qT+BP/Q/+Ou7/2e8CICw/+228+c4/x92f/pOAAv/0f/q/wKe/8VuQbZv6qACkGc8eOHPgzMwcXx7OvDjoEXpVYwtAaFUFRSv0dALa2cxBskGbjU9VQFxRuNh17jeKu0SBzAg4CjPbUhfUWns0MIJHB1Na/qAjvwcwaG1hUWi4XFZTGmJ7W+kKRhCYKHKe1Sa4+yLMhOcmNLNE2Fdb24zR1rl4R5oJ3WyVqwKyErRLNfPiUtzUuFSctsVMjm5mZKahvriDqPdH0wriQmxqtpu8HmG41Oppop8Pdne6jh92n11HQ+pqJohqpr+W2ru66U+xtYZ1W12IN6zrxZS38P+qRRxvraXP0gCidf7gCrgfN/KZ4cBqPwJI0CEyIGitAU3RNoHqg9018qFrkKMHjFkJYUnhNbLs6anTi712sLwl9o8tDJ77/U9+e49xZmgP/+x3oVvDJ3/p18Ff/SqWn/k22qef4vv/t/8Qr//ir+Huz/1Z3P3KL2L51jexfXaP7/zP/ybu/tTP4af+lf8yqFb87v/s38b3/t4/gF7WsFHnvaN/7GM4cObAmfHly8KZFykMOryLjTez+IZaBTVmWwGgLZC2QrYC2SzsRJ1Hakmd0X1IcVurasVkkcr7Ou4cjDwwGrnGaddfE7mbo5oVcGlbWhiadmUgcq5Do4zgRtv0Zi4mUsjKqEhokB6sQuhRu5s0j3jVFNjQyEP5sOOEpVYsteK0LKjLgmWt2E4nnE4LFlHUqiiFgWr3CRVVAPBQttT+16EUxRw0dFWFDKMVUPOcx2xdo3ku6KESZjtKA08LYW3NLDlbaNsG3GvbTGnbVmxbw+bm5KaSZmBx3soiOlQAMlPysixYlqWbYUtB5QoQcjUQfsYQvs13K2yXLf2U27phrStqXWzuh5VSx7cAPQ21HU5lmIIZtArf4rw+fqod7ojb7b3FmV0HH/7JP8Xv/43/NX7q3/hr+Opf/s8DUDz87h/gD/53/yd8/Q+/h5/6N/4a6O4Oclnx8J/+IT79f/0nuPvTP4fXv/pn8MP/+Dfxlb/4a/j5r38dv/9v/y08/P4fRLpBttP5jNPd3YEzOHDmfcGZZysM9tBrrYSJALGAkBW22RtBsZQKnM9gCAoUpAIRoBTzJRIzVAXNKyw6a4O5l18lnsuzcpoHdaIXBS5EaKtzlKqlw1wutkudlYf19Em11KWy1CFwaJmAgsDD5iT91hEkNPrAVK0cbfP4iOJMvG0bVASbWtQ2A0DrcRSFgEutqIVxqotp/cuCdduwtRNOTbAstgpoImlqDP9kg/Z92FzILCXbBWucw4zg7qa+VIT6RN+afdfu1RdsOgiwmwD9s4Qgbxsu24Z7r+F/uVywuia/uj9x3VYX4IYojcGlpvZeiq16qgNdrP4WD/oqzG5StaCi8OUmO0SBFVLI1tC2DQ/3tgnRuq6Az2FrG1iMx4gp41fsR6fgskmCQ2sbFAbOHjDtK65B4Ae6IdK46HYU8x5Y8/MAKh9Te+9xZmjEBeWbX8Wn/+E/AH/9E3z9r/4V/OD/+Q/RRLB99gZ/9H/9D/DJL/8C6ievcP/b/wxf+8/9BfzJ/+6/js/+4W+ifusbWO//EF//L/xLkD/6Lv7gb/07aN//FJHlCALOr17h1atXB84cOPPe4MyLsyR61K2ilz1UyLZhU7E8ZjKf42mpYDqDRACYphX5pohcYP9hD9PftbZEV9pRamVxNqFbA/wLBSDapkCWCFYxUGAUZ44aBVqKk0O5R9z6vfvzQoOwgEgZNP/QKCPidnXXRxM3cbkJq20NsioUgk2NdiIMEcUSpjXXKY3KCtEKUUWVAi0FqIB6ypcxkoOtulmNo/JZp1tPpzIi3hbZ/QH3qQ0CrxH8oy68YQp0Qd7Exv6wrnjz8IA39w94eLjHujWoUvr2RGOskoWxYqVEpaCeTg5iFafTCSfX+Gsp6Taq1bYghnp0MhcQw3f9i0FICjKNEcuqZvJ1bTCrraUsWYAZtS1NiAaGXWA1ZGCi4P7z89otH+PH2t5LnEG4J3zutw3161/D6z//K+BP7vDmH/9T/NG/93dw+f6n+OTXfhn1G19H/cZX8Qf/2/8j9NMf4tv/2r+K7/17fwff/7v/Eb79b/43cffzPwtaNzz8zndAraHUMvXrdD7j7u7uwJkDZ94bnHn3tMrBRKhmI0Pz4ihU3NdYCyqfbTeuQrj/7A0u22pEjZRF0U4X/yHuWqYTKxb9NDPmo3pRWM40zJPm06vVLAhdUaiZokTMIDZTFJRyNzNBtyhgYI4eSOmCLIoiJn4qiq1t5hdcK1ozk1WY4VrZzKe1MkSaVXxTwdYEoGZ92RjEG0Ccu9OFlSP6UgtSSeI0gZhQhWKje76KuXuGmUr93NT0/ejVjmqiaM0VKFWs25ZFZ6KW/7Y1r5TmKwfAAMfNxuESIvcX1mXBcjpjOYUgn3FeKpbTCbWU7CMRe1T8uANcD2aDGmBGANMZnp9OhK1tblos086F5D9EtkolX0mN5OtR5LcoqLvXpPlj3z06AYcC8T7jjG4N3/13/y7WP/pj0LLg03/4G7j/ne9ARfEHf+vfwdf+0q9h/cM/wg/+3t+HPjzgu3/738flO7+P9oMf4g//5v8Br/7cn8X6L/4Ib/7hbwBbAwdf+ypoOZ1Rz+cDZw6ceW9w5kXbW3eJC+IMHVTzp6EArAyujAIG1wKmO9TKgAj0jeJhC/+O57OmzQ95rxDokPAQ5kgtsv91vCw6OhGAiVFLNS2RMFkWLD3JA4uITWjcLCYAVLoGGSsTDYFxehC5MLFVjSNVKCsKqneDUMpgolOxYKRSUOvWdyST5uapKENLZtpsDbSNaaFGE/tUsiJYxDCTm7Gsv2p9368AvC+x4nqsqc+FFTnRwarShdiCizzYRxWtCS7bhof1gksEljq9sugOeYobs9VSB0xBI4vm5lKtPO+yoNQK4gIQQZwmzIMPz/OTiWyPAIGAlVFUM3DN6Gbn1FJAp5PNS9v6fBCjoGfF+O9G0r3bmJDP7Uxb0IutECx6eb5iT9ej3W7vM87capff+Q7WP/wjKIDtBz8E+w/eZ3//P8b229+BPNwDlxXEjDf/799AcNf9P/ptPHznn0MvF8japh9VgzByxcXL1R84c+DMe4AzL3dJoA+SxSNoQ1Nvm5m2qJhyKQIwoTKhnE5YTyds24aHB/tOmkCl5Y+wZz4jiEEUVbQoTUOmJXZmJH9+MHdXITxGwbekrfAfeYJpeoXdTESQseIHPPoWmIDEvggfWs+8sNQcSdMZ/FUkyn1Gio+kuQlsqU6lFKdDy0pfZgmp6UsN/aSJgpoA2GIYgJvVUnChLiAEEteAFYhMj6AZ0EFQo09Jt4EUJmG55BCdc5HNPKpp+jPgke479Jxn9RKqYEK8JSbA08JAZtFRX1nZaochANYmoGbPudQVldkCkdh8iMyu+ZMHfKkJX2WrfJejUQAqKCBQqTidCNw4BTLTpvrSynht4v4uyFfCGAR7ZDXV83CeXm0dzdp7iTND38b5l08/Q9R1APdVafv+97v7QzWtlnaR2HVXAycveS2Z+n3gzIEzVwT7knDmxXUYrCvxI+oMogKKkpsuwK0pNihUGaUQyKN0q6f+WFN0DkP+NkfWwrR9tZsJ831yGrJX1iXNW42aX64qgCS2mdR8heErGyU1tyfCZNm1ZlPQW65a5uphUakrzIexSrKAl601779bOUqYuJCFYjAUYaEoIkOhz5MFawpAW0tFyarfmSad5i4BmNWAhwbavEvTlGMPQJq1/taMBq0JNpE0CW7NimK18EEi5rbjA+K4AspeqlUjWJy8fCoQUb5MhKUWnJaKwouBXqnuU7SqdYDRV4nRGmUQUfw8wOvtc2EsVBEV22KuEtJ8hWmv4w54Q660AlTiqlnp7PTuIvwCkj+FCT/x7b3FGeo9pJFfUsbGCdPxgsHoGdfprS4hXSWqeHhYcc8PB84cOPPe4MwLXBLIjUpG/dB8YybIgEeDkoBWwiYCFXZhNgKWYnm+tZQMQrx6TuQQu3Ug8omjMpYxpiK5OV5iJZACP9wXhDbU6B6LY2iYfcg09Rb+NI3zALgZbGuSu+CZCc0+t9yHQvHVX2EsXwmLB+G7v7HizadWRRKwTW4qRyU2E+TiqwFziwQhUsW3VYZvnCMgbBuAoijad6mD1y2PlQyNzKR4gjNGU2KU0B7GL5pCnIFHntJkNLHiJ60JVhfktm1oYpuxuMc1n5NgBzNxinNtbMqisJVVuVyMpxxtC1k0ca3V6FcKTqeTVVSrHsXs5VmFLSKcByttAaNR82I2Lqy+SY2qbxzjNLc0K/sRimhwcl5JQHO+QKxEHXiSHztJMQn7M5vq28/5SWvvPc4ArsMQfuEP/lMUkRtzHb2+OcKbR0fuCPn7ymef4eJVKSNmYVQ0eqpp3EMxBhxmujhmpiQnAAevoytJxJxnR/ErRndVEAJGaICoPd4M4+n/XI1+os84phhv4M+ExYHNvRBfy/LPXRkbLfnTD2nKqr3//Vev8b/6hV8AcODMc9oLtrf2H2EownxkgUTiu581lPgxUEFjAOatAVOP8SQiVOrpOr3HI1NRanMU9dBjxzEQfL/pXHz4FzvdYYAbj5DN3SjjuzChKfInLcxyESw1KgLb2nN+W2x6o4qv/DJQ7hogGwiKu28T6slXQ2DorwJ3bwTrJvjub2548wN1BYGzoMqyVFCtNla1vGdV81HFD6wXx7cUMYhtqaKwyJmoIKbj/nvkTGaEYQxzOLbUsgZCBi19PjPSWLRr/FFm1RWH5lHbYYWx9+ZzzLKtShaxHSZVr0mPWP2AsEmDenEaVUrAZzKzb601i+28Ot/hfD6jLSfUEsVnAC0K1YLqZW/NFAigiRX04YC5ndYe9eHjB2QwVQPUTcAifQvfcEhO7UbN92vKH23f3necGdo3fvgZfvdb30SjLnGKLm9xn+4spf7t9AM3/lDGjyTw916/xvdKzR/Qr/0Kob5WqDTzXpPVpAhLTAOjKbA1w5nL9y1WIeozROnomptWzSWxu7Lk730RYwF5XvGQgAj4Kxn0NysLsWKelawxJmT40YZbdAdrgsaCzd0PYVXpCoK9Wm2FZrUo4rqgsJrlIJWM6EfiDPCzb+7xl//wD/HZT3/7wJlntudbGAy9MdQ/A+Ay6IwuImAS/73xqGbf9F3VglJYjHkZZEAwmNRiVUFsv3/BhRF4qACECOElVLc72aoVyK1Q3WVkMujmu5GE2n12gPvL0g84BtZ4sY/NfGdhBvvKLyvKnYDE/Gavvi0oi1WbK2Q5z6WJWSyooHyL8VoJmwDns+JyT1AlfO+fbHj4nuYumSlIzhSs6lvZjl8QSHs8bjKi+8RIBaKD9j8wmPg9uyVmlPJYJXSmDiWriRU8UTVarZsXwmoN27p2BWJSKgBtdn4oZREbIqpZMlXI51FcaybrqKrVe+91MwhElgt+eYiKfxXrwwPuXt3hk7vXOJ/PUFlQq/klNyhUvBAXOEK8rYSwhgLlK02wbZlLxiuWp19Q6mL59tXBXIw+W2vgpUZ3AUj+2KSIqAT3AqCeY3+0R9v7jDO3Vm7f/eQ11lIR2RZPWRVkGMOYQpjxUKMVTxX/n3/56/ijry9P4ww6zjRlNMeZH/5s4Azje/+kYf2e1aw4nU44e0aAbV7lG1qVglLDylLSnVGjxDRTWkGLKwuhgISldFy9cbh0gAFbOr5EaqOKYUEbCitd48x2hTPNv7+sG9a0ZnbrsMAUhuZBnoYzZo0Nd9Ov/uBT/Jf++Lu2C+WBM89qL1AYkB3qvsV+FC4A4yKVRY14oqlZMobgmTCf+W3CdMMxsYMpzJT9SPsJE7pNfNfde8WtcaE80y7uET9kEWTTLQoRXLO1hsu64iu/LKDT5ltgrzj/VEOpDUVtpc9oYP+FrFBUsgIbTAplhqBiVYIQ4fwzhE0ZqwiWO2B9Q/jhbyu2H27g1v2ookDhgT6AFaHxlbooMo/Xa7Ih2CaDqyjUiUEZSEVimLsbsxzmTYmypdogYlvhNhFs0rJoihWTEd9DvqeAqYgV04KxQWjJubKKFQ1HSRgy3+mwsmxt88hpQmx6oy6Ija3c67ZeoL6R2N35DtAlR0FcAPZ7irhv0zrTYOZH4zOG7cCnufK0bYV9B0BB8hqUPE86NDLnQIL/srnWT91oozkLb5flvOYjVC7eZ5z5+3/2z4DVikNBFX/hd/4p/sEv/SI+W5b80TclIHghajbYZDZP9RsLMUUQ37qt+OovK/jcrCqlbJA/teKT8+XAmR8lzuDAmR+JS2Kaco1jyRU2AegrW9MwTRPqVaX6pi4M17ZcWJWi4Ej3H9KO6Ub/YvaDnKEHesZqgCjyhHVHFLWMB3SNPk3s24av/CpAdcPWNmyXe9RvrSBaIW0D2gqShrIKKhsjMCT/ChRFBYUUlQjggkaCTRmNgBWES/ONdH6qolHFq08U7UHBRXH/nYb1B4pSwpyl6UtMP1aAE8xSYbTtmnNnMACxE52i09bPSTAE8OpnCr7y8wVEkfNM+PT3Fd/7rU670a84Fo6xVDdJH+AIhOE+ViDzp0Vd6OPxGmY1KwIzmXTJ0+T82US2UgjwEFlxuawOKqspe3d3fvWSu+wJkQV7AXOA1mBlofypAYjEq8BxCnKJ4it4QhhpfPtUQt7RbrX3GWd+79s/5Z/NFdCY8Hvf+iY+PZ/ShC4JNK50CHJTpPYWnPn+t1YQCaQp0ASkn6IeOHPgzFsE5ceJM88vDY1u9MhhBFVCY/QfaNPm7BBHvu/4XWp8lCk96TcbNX4Kn2L4v2LbGOvD6BMbNYJUEkARpuBf+LXiY4hsiCb42p8jaAG2tWH51grFBct2QVvv0dZ7aFvBbYPKCtaGwsBS2YQZCjYjGBiCSoqqQKUCpgplQQNjJcJFgaLAKoyFBRsEd9+u5ssnxqtPKnQt+Ow7wPY97UKrJYXI/iIqN3VmBDGijnwHzRBeTMdf/Qzjk58z4T19lXD3DXd3CLA1YPkKcP46Y/N0oybA1hSXlXFZrZTpD36f8L3fishto3WLmAdXxtwSC4GbHxHxC0ggIvKqahpjsHSwiGjeWrPytOrBWMU4oW1W8juAhZxGwUsoCsBiQxSwlCtbSLgJceAL6rvHWaGVCIgrYI7c9c5l+YMWwNjXG5gk2o+Oq7Cj3W4fEs4AsUo7cOaDxBmfywNnnt9etJcEaNcRF7ToeAgse6QtezCeEWDW5iIYh938hVHABx0s83+pa655n2Bfmk1ik6XB92yPjJa9JvaNXy9gFpx+ekPTB2wPb3B5+Azb5R5oF3C7ANsFkNUC8WQD64YCoLaCEwAr6Gp2tOw3M7gRWAVUVxQ2IckAJGU0cqbm8LGtePXTBF4WfOWbFds94813FO37NqgI6TJBdYYeZoRCmY0/si18RyH+5E9UE16E8HrMJAGMBqjVXCc00CcNpzvp2SGi2DbFugkum+CyKpavKM5fNcGPgKRNFFsjtMZphlUB3vxA8C9+Uzw2wn21vvooxXnJVyjh24OXY43NY5TMdxqbwTAX35VuAz8Qarm3qOZaLWIeJ1g9duMBETencgifrz8z2YR7Lrvzd6bcBZF3wmgaPg2fOhvGsd2Boz3SPiScCRmLBcqBMx8WzoQCWety4Mwz2wssDCYq3eCG1PrJuMrMg+y/1l7wIlN1XKEzAe6bvbCbgULrCqE1AWZkJCn1dUdXBpAFXdhsSM7BrtqFlYH8vWIi8jd/nfG1X2ggvWBbH7Ctb6DrZ6DLD0GXN6C2Arqh+CvpZq8QnAAstKAq2Za6or69rjEHcYEWhmwKlA2oFn27cEQsMzbZ0FCthjsEQhbAVYjx6tsMlBMevl7R7gvuf4+x/XEIaffPcgJcsFPMST/+yZ8s+ORPWFTv3dcZ52/YasDMm+qC7KsIaWi0gWkDUwNTQ4ODl6qvchoYdg5ePeD08w2XdfN95SNSmdIMa+mXildvFOU18IPvA3/4m1umYwImtMuyoHC18bEHZJUKVTUf5gqssnk0s6UjETuMiqV02ha2C9Z2xrJtELYe24xr5xFno8grDxAcf6yIbGdSGngvaOofXIg5v0MIdV9ufpSxCO/aPiicQYA/Dpz5AHEGzje2I+WBM89pL7AwYBZipKvLBlqs+lUEjMxn258tBDwqNLYLbe43Ilh97+EvApOCeV3e584E02p4pMgJ3F0S3YTTu/WNXy/4+i8IFtxD1zdAewPd3oDXH4Ivn6Ksb0DawNpciFewVw1gYpy44kQVDIY0RVsVuhmjFKr2w7eSa/cNWhTlxCgnoC6KygIphA2b3zVMaAJqAmIBU8P5W3egWnD5JuN7/19g/eOu4Y9pUDRMyuufY3zt5xYsxUyZr77JuPs6oXCkDFnKpwlx/AVMC0QaCjUU3lBkw0YbGCsaBFY4raFyQ6ULgHuQrJDtArTNaM8M5gowoW2Ci6y4YEN9BZx/seLuhwS6A777R4J/8Z+8gQA4n84AgHKyH4DCJshntkhsuAZ+ub+HuslxXNGI+Mqj9boYlkY7mFKdT/IHJlZOLrzm4/ZfnOAjYthGMiVTsnJV6eeM2n4sQy0KPJ78WPT80fbtg8IZIDWGA2c+PJwBNBWGA2ee115U6TEs/QgtuztXYElIPagE/oMdqwOFBXOwKgqX/lc8OhbISmSp8Q+MmsQa3A3kXUm9LOfAJ1izFy7U1t+v//mKr//phhNfULZ7SHsDbZ9B1h+ibj9EbT9EaQ8gaiiwyF1tnvMshIUrzrjDme5Ayp7mI7hcVq9+5hOvgEpDg0BZQHdAkQrWguXMoEpAYSgTmgKrNKwesANRsJgvjQCcv0U4/fmKy2cV979H2L7b5+UrP8f45GcLmBQFwFd+GvjkW4pTVSwMFBYUciEkWA63CzKRorggMwDlhsam1RdaUWhDwZqCbLPc0Lih8gqhCwj3UH1AEauZX6liWU7gUtCK4AErHmjFpsBKgvIVBv8So34TWC+MP/7HVku/MLs51MzI52XBcj7j3M5Yqu0o9xkR1nVNH2tcB7XI5NjOV72gDpGZrImNQ2OlFPvZR940peo/NsqVKmdO9Si8fZWVQus/HIeC8O7tg8EZxEc6cOZDxBnHjwNnnt9e5JKwFbt2IqYWxYPZxYmF4gO0CNvCQZSSAR61FC8I1H/omaLqoRMQAPaFKeSa5uTgErUYlNxfBEJzMGG2nOyv/zxwVy84yT1Y79H0DUjvAX0D6D2AezSsKUymmheoAIUKzrjDa36Nu/oaFRWX1nAv99gemmn/no4LBXRTiJrmD/W65CAsZbFtVE8LeCEIK+7XFW/Whsv2gG3bQGhgFtRqz737adM+H75Z0d6w1zEnvP4pwquve7ERVpxqw4mABYRqM2E52xRbAluesZeFSs2f3fkm3LAV2+mv0AbGBeSCrOTCroJKFwg9QPUNmrxBRUPhivOiuDtXLEuBCPBQgfuHhssmeICgUgWjgL9OWP7iHV6/Aj79/1UXSPW0JKt1/+ruFbgU3L1acXc+4bRUPNzf4+HNPdb1kjUsIkyt/wA4L/oeA0tlLKW6aTkK0VD/4eAufKMQEoBlsTz7pmrldC28y1eSIxA4V6Y5MkU9fnvyB+hZgn4FLD/57YPCGURaHB048yHijJpr5cCZ55xk7QWVHoeKWU7sXlwFiNrZ3lcXqN7dMaKTXNBKKShefVE0AnngGlqvWJhpk/HsNP/kQfvkZhoQclKbqtf5tkCXb/15wuvzijOtWLCCeYXwikoP5k9DA0SxNVhurzBIGSQECFC54lzOuNM7fKV8glM549I2EDHWtmJ92IxWEa3dCIUKaIEXSilYasVJTnjNr3BXTygnBqriM/4MVT/DZ7Lioa3Q1sBNsQijYkGhCioVr36muDmOLHqaLb2qQFEJWIixkKQgV1+XmUDToOmbaZARJl6FFYFpKLkCWOFJWhAvHaJkwl75goZ7tPYGrd1DVFFF8RoLPimEUy1QLbgo8Nna8Ab3YLkHqILqCUs94dV5wSevK/7wNeP7/8TAuHBB9WIySylYTmfbL97nemG2fHgINlIUrmDYj8Xd3Rl35xOWWlBK3xymloJlqWCPjh4jnJn5drETXylaNUAr0ctcp5XoeFkcic1tImLazmFbeXYWfVzU0Hn4o2sfEs4AufI8cObDwxl2Xjpw5vnt2QqDlSaG+1W6GS6Mg3Y8hHnIfUUsGq2ylRU/iopaBYW9+EamvQzBHkOjuNEgvqOp8urc9DuxlfBUxTd+reBbv9RwVwTn1lCpoWpDWwUPZP1RrWht8R3GAAhZjq0QSAoqKl7JHe70Dq/0Fe74FU68QYti1Quw3UNWyUmuVFBjC97GqK3grCe8xh0+4Ve4K3eotQBFwAWg0gBuKLpa6WdhFFmwyAkLLe6zq6DSEBWha2rzZso7gbAoo4KwwKqzVbggg9JkSGkyjPf2WdxMuGEFwWpQFF5zfw3AKqqRKJamqJuirAJWe/apFZxlwVlOYCpYUH0VZH4/1BVLBV7XBZ+g4PVdwevzgn9xZnzvHxFqLXh1d8Z5WaxOO3k+eWGcagVOC7SdURjY1gUEzRLbp1PFUgvO5xNOvglRLQVLNSWE4JX/VPtmPGPzAc6aPJDxMBl576/MULItcTH8WH2kP/efu31IOIM4y33QB858WDhzbi1dEgfOPK+9WGEIrSzNKhqWESuJGYkf4zBUAW2CrSnWdcW6rhBp6OsBSn9SXDsZBz34qG/nNPo0ccPu4pHUAMCcecXf+EXG6/MFZ204s+LUGliAFRXACTkRTNho8zxq8v0ZGEwVCy046wnntmBZKxauYGFseocLvwYRYW0Xi2QGQNUqgJXG4I2wSMUrvcNrusNreoUzncBCUAhET9hwNkFiRSOFsJnqqj7gjJNpnqWi1Aii0RRKhhdyAeEERgWn5l+Jsi58mAy7IPu8kYJYILpZxDJswx9VAQncpMu2dWwj6FZQ1oK6VSzbAoBw5jNO7YRlXbCQRSMXqVaq28trM1acikDLhjM320r2q4q7X1/w+nzG/T+reP36NV69fo2yVFiyvdh5hYFagfMZSynQs/kUl2oCXGtBZaDWBXenE06nBafTgqUutke9AGJJ1M4fXcVODX4IOFJnPxqPE6VAE0f+PgD98QrvT2L7sHAmsizowJkPEGde/0OLc/nKgTPPbs9WGJqIB2OomQUH6ZkjQXvJrTDqqQAKy2G9XC5ol9XWDDSX96Ri1dvtPu6RmRw+mm9TYRvsLmFZCKIDphmLMH7q1xmvzxte1YY7FZylYVGFavXzze8ZUdVr2bxvAINRqKBQRaWKqhXl4rvIrQJuhNO24BN6DS6M+1qxoWXXuCl4A2phnGXBa5zxCnc4y4JltehnoQZqiqUViJ5QiKBFIAVAERS6YMEFlRZwWcDFd9YbBVFtNbAAWEKIiVH8tXqqlUUgj9q++xndhNZUAFFoU3ADysbAxmAhQAtUFNysst1JTtjUo5bBWHDGuZ1QHhi0mW+PteDVdmclWFVQ2oNt3iWKWlYQA4Ur7k6ET/4zZ7z55mu0P/gE57s7gO1H5GEVtI3QmIFawDiBTgsix35ZqpsHGQxFKRWnpeJ8OuN0WsxMS2YcJZGoJNuDkJzPevSya/no5kRo/JB1Pp21/ZSI54rV0XbtQ8KZeDH+OHDmQ8OZn1JB+W3GV7/ylQNnntmeH/QolpKkIwHAIOw2w8AsYSZ/tonQ+rDi4fKAdlkRhVeA5qbD7i+MgJKISrZiLkFgQi+rRt2HNzw5hNjSYATMwDd+Ebg7NZxJ8AoNZ2qgjSFaQWBLUSoL6rLitC1YtWHVDSLNBBkFrAVFC1gKSAh6EWxlBWtFbRXncgc9MUAVD20zc5o2sFgZ15MU3OkZZ1lwagV1tREqNTRdvZAJWd51raCikCpAAbgoCm+o7vdjltTerZRcA3uEcmXCQs1MhMT2Z+E/qCS2kUwovBn847cRQDeCbAQa/rgVQBmkBSJmJoQCd7wBBVhqA5HTsVXwg69mWMBgLFLxCb1GOVU81AvWukKqoi2KhRgnJVyIsC2M9XzG935wxvnuDAGwidWR16UBbUFhQEu1LYyL7RRXfDvawki/8rJYzvVSC6L4jKpaMZVhtaijJA98TOT3FfEfL+RWyAAF6TA7v4/2edqHhDPRP2Y+cOYDxJlv/+ICZsbrA2ee3V5U6TF2V8sfZNhGHSDzM5qmT5MGDiD3aggzYVtN26u1AmQbtvhDAADElBpZMpvYVtG5nqAg/iS+iAnJgBEifOPXCpZlswAdblggqKqAMljZ0oTY8pZDk91ow0VXbLpBN9vjnMWDkhoBYsrIdtksIpgraq1YiKG1QLcNq2xAaygqWFRwooKqBaURaFXow4atARvsOUINKIq6ePlSBqgoUAEqQC1AKQ3EDcwbCpGZ99QEmdR3sCPzxRUQKsSFmVDgQKQOkrE0k/E9zI/a7A8NYDGt1yLSrXqbmRUJ53oHvivY2AFdyEq2e0lZac1AmyrOpxOW0xmvTg3b0rAtG7Zlw0IAtzOKnnApFVjZ+xeV5hi1FogsKADWlS2yPHbSI9v1rS7FC6BQ1nGIADB2+7aKwKDFBqzOR5kml28IxBZBrURg8V1Afctby3+Obccp5eIq0v5oL2oHzhw48+PCmaVsCF/AgTPPay+owxCauTXTzgFSE64oza3jSf5WAC/l6VtHQ1BgpVopTopgJLj2D7u/HfMbD2bIvCafpYMcd3MhQPjqLzDqIijwTVtIwGoMR+p15hnQQpCloWpB04oiBZe2QrQZcxP3rXIFQBO0TaAk4EXBy4KFC9T4H7oZuFUlVBSUMMetDdv9BaoNugCNGjaskCKmoXp5UUb3BxIDlRnMAqINBPKUMPMPugR6lLIFHlUlFCUUN3d2k6ID5SC88V5FQVFJzl+hdr3PigsxwIVxWhQMRmUBweizbbaBjornK8O0e9SCsjDoTCjngrowtqVClLFuC7Z2wkYVCsK2bjatnrhtqVzmV7SUJYtKJ7Io91ItOrlYLi1Kps35qjDkkwnsQVWxDbgOocuOHwABjAKtjIUL2NPywBWlRASzr0qx48NkRBok53ptcbRb7UPCGbvqwJkPE2cAhqpgfbgcOPPM9gKFwfx0RL17sW94aPoKQNjTlJw4DWKRnR4YRMUMb8RxPzPBSGtgjYIffg9RAA3K4Wu0DhDIBILEzT+WYpLaF2FYiVgfa6QDQVDRQKKGC1mkywRV2KJkWy3gxQKI1rZCNhnysi0CVl2glQDZyLKjyExI3R+lbva0XGtqim3dICQgMf+bVoWwb80tADWLvWAhFPXIZ7ifkN1/S5ttkKI9zxmIzwQWRpaxtXwmUCHT+okzKFTF6eyCzI2gG4E2E+KiBNuQRmLkLth266XafDY2rV/UVgRtszKtrSlUGjbYCpDVNWMicDUwIHF/qcVaQ0RxuTxg2y6gYulKzAUVAJWCwmTzRgZ8pVjuc60lV4wMmng1/532GtCMmh+O5gvB71MUpOxgv1iONDOUCuKnB9oBIH9UoIiVgCKY8/niTBNAfCztA8IZ2EZHXkPywJkPDGfMoCS4f/PZgTPPxJnnKwwcaR4uk6k2Ds8iD20hQFFMIw1fTingWlHpBN0YRILCZtLRJlAX6kpsZeJFoWjpX4wH79046isCTauCDV5cywbgGr/9VTQUbeaeFICaIiJTQttWNv8RFwIvFozTpEE3r0evCiEDCoQCLQ1tVbMigqaIV1Z46VgX/KZoWwN7eTUCgRYCuRBTAdi1dlaY9q7sfwSG9Pv5a1RqM5ALxcmZNPKbrIB8mnpTzQ1ToQu1afwmyKzsVdc604/zXZjN90kWuCW+GotseqVIdbMSqrZfvN1bGqy2mzBWqVYPHlaOdds24zNhQCy/PLaAJSrGVyq2OiqW6sS+l0DIy5jKZD5rRfyXkkeUIBXauuZKtM9PIUtrAheoByRZehwlnZ9q6ZN/hmRSvn502sKHhTNwPnf+OXDmA8MZd3+t6+XAmWe2ZysMUcDDggnhGrgmsUalRl1jIdedmAugglIrSgFQigkyuSWoKlQXRCAS4Carwb8ovgd9WAe7hcYerADIVwAcZhrvj21+0lBgJVhJAfb0HWN88u1OBxJG0ZEC1KWgoaGRCbNVjbOd0GxtYsJr/s9hMTEKVyKQ+o52/bl5DsyMxy7AHAIs9sfiO9MNkccqcT8MY44H2zNpcMlCYBpsKJVCk+aPhvQrshBU2M1hWa/NKQQoKZRdsyXHA7UzWD3xTV1o1Ta+aQGEDWir4mGtuFfGRSsuaGhsoBw/GGN0dSFyc6nn4auhMbNVo2PPpR64dngJgLdXidVADN3BAw7CmncIQWXX9n31SWNiH02PmwVnfPN8rf9jbR8SzmQ7cAYfJs7Y/fnAmWe3ZysMUbecGI7kZj4JBdNo1QURMKJZUI3lFy/LYgJTK2xPd0XhKIAJD2Ixzc8e4UR0gVHR9DMBLrim4nV6RaSzt2/8akFZNjPVQbrWLCYwoeGSWqW10G4ZFrRiyp5p3aLFmFGtTKhAIQVgdV9ia14cJuTK1j9F4UIrHjhDvZ49s/np2AZG7KZFAmpo+7BXjiAhHvxlalp68khyYNdaYenF9l0sEdi/E4VG7o9qCjE1MhoNwivojK1koKMehCREILaB2wLDn2tOPL/YVjgWka3uc/a97IhBVKGXBff/jHA+LTmNIag9VcvMnfByPlFlrRjCPdKMV0Q8pC1A34EvADh/jDSKAjlPE6UgCzEQEfsd+/21C+y4Nn6uGH+UVoWhfVA4408HDpz5EHHms39qYzyfFue9A2fe1p6tMBSubi4UNxlKPHnoBJJ5zFQ3CnisAFyTIy8j6oJJALQB6hq+XRYFLbrWHJqr+RSDWaN1zc3jSfHVX2KUGqbCBkZznyKB/dWkMATDTGXwgB1mhtZuYhJyQYblLje1v00EqAUkYn5L77NpwQpWwaLu4ywEKrCd9ziEmTxa2VYb7GZUo5OHAjnwcCO7vwct9b73lUYShiw1yVN6ndh2QVrDxGkcoNBcc/c/DsmPWaZhheWlcLkYgJH7Fqk0J454v9ysuBBkEbRqq4YiZxQ6Y8EdlF+hXe7Q/gC4OzGsQI/xQeECLjEyEzurQMeWzsSh9ccyx7uXq9HgS4GS8Z+MkqURwdxNor7EBciAQ4ktmCnWI/ErlnTxW5H/wOwF5KNXB97ePiScybfAgTMfIM6sv/8DEBHO59OBM89sz1cYiptiYIQlBOF07hzNgjQOiMjNTaIAGfNacE0v5gEUmALpPiAnMOlwr0nL7SsDhL9s6BBDUVzjL+S7qXm9dvgrRUAO4CsBmJDEWBnQShaJSyZoAoYoLLJYxPxfqrZLniiKWioNAyguyBWKCqC6wKIyqAJcGVwJ5GlNxJTCbAq0MU/4HuFaNzReMf85KYIPU+1MzT/+nLFC7fXVQV8NUQ8e8kgscmZOpnUwVTKBLrBAoiIeyLU1sIrbhAlYCHpStEpQLBA9Q+kM0jOI79AezjgtzaKQ/VG22rNnRgVAIge7YlXZ0nxonfEhmRk1F4PQvkqFBYj17HqN/5Nfpz+KSDy2Dk3+xE7k+fqjvbR9UDgztANn8MHhjCwVTIRTXQ6ceWZ7mUuCYSa1IBh01AeNsXMAmv9SaqHwT11IMoDEBZnIglfUfVFQ+ApgJ6EYHkPz+9iO1Ponk5mQU8Ml96PBXtV1Ww/MMUa2/pouScMqhtAy1YZsRQSgqGn5TU2QxQWwqEVOFxVUMqIzO/ULOUgSKFcEIYiD98p9jml6CyF2WqUAOwClRTduwM7RTFkYx5jaV1AZJIT0ebIysrIePK6gDCHsg9Lr8uN4oShNUBqjtmb+RII9eyHoidBKgeIM6AnAGYQTiE7Y7k84nVbDmVAYKPilgxvBaveXMpgJR7bw1Yao9h8BhRdTYQhZmpZQzPAckGQDQgbBxbiA0OyHwRN5nnUg5o4xx8NHe7J9SDjTPxw48yHiTKuWtmgFl3DgzDPaCxSG8COKM3Sydpr2AGN4K3AVAw3TDSP9ke6ayfxWDmEJYZbOnDGJGImHThwFIjJJ4wyKlCM7mkIcwJDavguyuCDHvVyIM1go/I1kJimpFi3sVjXAQaApQBAPJOpzV1RRFab9k3pxEycNw3xm7msk0i6A8HxmRD9gQhx2wTBvib32COYJN/sU+DTMJwzfhfbv9GbXjeE0Nd9n1/xtHimnOQBCoWARFGVUL9OqgC0LTgRZGCudITAhVj3BauwvWE8F50VDEvPRIScMsqjy8Pu6OTV2hMvhqPElQU1Y1fhPfbdCYgJEPL98wH9QksMd6TYLfjB4AdxnRxGV9PxHy72wnVGf33Lh/JEqGB8UzqDP04Ez+OBwZqsVBFMY4tEHzjzdXlbpEZj7FcfQNTMgiGCSRk4Y074oBTKEVjRyZsn2Cm/DPVx5Cq0zFdwYJMWITXulsS8wbZZVwGomwkpWszzMYOFj7IFJcU1oz6ZNcgSeFNuetKn0+BpYnrWg9yUsca4nomiYC33LVxAKPCip2OqHffzEEbUdAu0U9rFmZk5MgZs1Ncx88XynD5EDF6vn+WJgfCdmAIRqWAQnYWewpWYV6oLsIBR/RJRR0QoFE5u5FJ4qZQo3sBC2UqEwQRY9YcEC0RPWNwsefk9wqtVpZ4MyOrjZNPtugUfxObIqRn5UAlgLGga6MaOJdsBMQvqgfZVgvyHjj1G80sCbNB9DXNsBxd70/rxtBfCxKgrRPiScyX/9R/rAmQ8LZ+5qARFcYThw5jnt+btVojNnaDg9KxkAaBZkICVbw2833k8UzY+l9kVdCHPMHrFsNwrR6N9H6UxKQdeclK/9cgGX1fOixVOduo/OtpKFlWJ1zZfU03Xg/jx/Dc3XtEiyvpu8WfSymiCQApIRMJqKN4e5ENorpDFNKWQpXOSsEYyWKxIZFzp9deTj6CprzIhPGqnnR8OBg5LGSddIebKAYORmKRQKsAuPR1uDTTCVARSk6039XCU3hzq/gE3QWyEoTig4gfUExoKiCwpOwA8KHn73gqVWFyWv9kYOcuS+xT2vULAbJbarmziVDEiV1H3BDIHV0h+rqI08lXwUfB3nxiAHwQ20zOCsq0YOMP4TNpz3HKGlR+/7k9k+KJxxrPnanz1w5kPEma8UdpdEPXDmmTjzfAtD/tEkqF3jxiTWQBBG5u8ovI+m+Rt/mhY8aUXTe82XEGUNArlfjHIqkDEMX/uzjFq7mZAhkcw8FA0Z/pzn2f1OsVdYCQ3PI4Azutq1bLgQh+C21M7VgeCWIMO3fw0msZVBv5/1KdV4CXq7AMHTjUQ96luxF2TTmsn4z88HfPyhJt/4IyFo8RWImxmdnZHoMgq5m351XAnE6iCEm626nVAB9Ayo7XVHegKhgtV2xquLTJ0x+aHU/vmKx/qgjQs0+UI1eMW/N2Sz6nMhXNQBoLMa5d07SnQh7sJME8lH4aZ5Io72zPYh4Uy0A2c+TJwpXrFxWeqBM89sL3BJuAYXvmXt5MvskPh8c2j2KXbzghLU62abS8uqaeXmM+NEdAk2cXVNLoKFUhWGHY9jDEFRAZOA4GlU4RCMCN1GViIVsBQowMuaEqJ+OMcEuiorKcgYhMe1Z6gxMjrzM8wXWaD+XlHJtP8C8oAbZ8pRoEITJ+9zmOLUATVrzTuQ7MyIGcwUwliALOGKnfCPHOmrGy3uP/bPNKq3NP9RQWr3lrZFgVYWvMO2RFBUKBZAF1D8YYG8qbj/PcWy1KEjkrgRsrUXZLMB7gTHhxVilterAyZ7jAs8fc8H1HluEGD0QKPIkw4QAIUwB3fng/KHK1hD6dFwuqMN7cPCGRw4gw8XZ2oEPS71wJlntue7JETBbAIHYfNVKcKFaI1Cz3KuCF8bwsAck0KehuLFU2BMorB5UfW96/0+V0kkbhc0YkZ0aheeOJ3VQ0Xct5gavhcLCXMhizOIGsNGffDI0IFruOrCHeZE077tuaxmlgrEC+bhQZA5BDn7ajQpyQg6x7HEeKiPGWQ52oYZBDSygigh1GMLpCkDXTxSSnN++qNzaUXwVY72+7gJcQIaH4SZDClXAMPSxv2xVoSkoaKF0VY9+UsrgIp2Ybz53Q2lcH+u03j4kJi9E+fpHOty5xv27ocwm+nPxjrfJ4Qwxd/pP2j907n9mJVuDfC47tKhLDyvfVA44+3AGeBDxBn2AkylMA6ceV57gYVBoOL+RBb3Fw4mFnJBTP+fMW8MwXiR4mbDfa0qVgs+FEBMmhFmn6RXMI/fVlOI7UsDFX8+AeTmQYsoto1g0g8XaU4h3EBGCLPhgzF8+Kt6jzt6jbPD7rMkWKEWkPcBzjhIHTFYpF+vfVXi4+sCrKmIqg+efYC2rStADRmMlI36vSMlSlkBFrsPST9/FE6gr55GMXLCkAS6DY8jB7FBiNU1f2GrtSco2LRgg/018iK6xFjfED793Zhryj5Z2Jb4+yupGwaaBVj92g5SMXfjD854m45l/QSXd/vBSa3f4bc7MgfyzRxyq4eHwvC89sHhDPTAmejvB4Yz6SKgA2ee215gYRDbIY3EtGayCFUFIHCtNEp2Ai6IQKjA5PYphQwmFxMccXshxXXSVw/h+xmWDb1TqQaqMTbcrOjEJhWQbwLDwbiDqTDNbI2cibtpLKxiiiEWytViheIq9idNqF0tTWHMq3dARj3IyyqsoaeOjYqmm7Ao+hCckWNA+hmTWQMEQOi50epaenJv7+cwGOLB3Bv9iGdNg44+OqgzXNsHNIXYBHlD9b+S1fbj7/KG8OnvtASqft9406Pg5xbjpflYzv+IVMGXTn9RQATdYR38GoI7mwb9l2gQ9d1z90vgOJMCSGj6ATva7fZB4Yw96MCZDxRnfOaH+T5w5m3tRS4JYwCBRI6zM3RE2rKX79SBcMmLMaDI+SDTpsKkoxBPSbHc6GD7EKSs9z60UbkNph3mxQKQVNx/JEDT9CXan7ogA76NnQmxoUAXvHyYjytXOZjUuj7fOkx1Z84QRGOYAAWkW5AD7hTdTykmfBC4Ri5JsTQPtrim92Xss7KDI/c/mk/qdFRk0BXI703Dd4NshJwpoQcfpTATzLtr5sFNKzYqJsxU3GzIWO8JP/jdED4d+h+gPDP/yFO9+3MwWhbuInL/qaYA50d1PlPp50RaG8Kc2DX/qQ+DHEck/3Uvj/Yu7UPCGeR1B858mDhjDzpw5vntRXUYmiiYrEa2Ctn+8T4HpOHa6tpuyFf4IQGGkqAoAfA9xQvZfu1hv9ORYZ2HbEP7XrwjJzs+D5T1if3qLxWUcumRy9pMw29qNc83gDaANxdoEvMPMbt5UBx9xAqlKEBeltR2RAMiTcb+qHdBu9DOk2qSptTdgJ4dBFJb5TRnDNLoF8y0yQEuHTA0Vi7igjoyLRF6VJQCTcx8x6aZR7EQk/WOfgYQ8PsNnRQAQrZV755P/RkmzL66CFMgGE0rWggvhWCb1v/wQ8IPfnuzm+w09Rk9eKTy7pzx3MD7iKx3A61K0khEISrpw47kaXIAIBgfxOp0/AGJwKRuDeH+nRNjFOvxh2X8/Nz2sRklPiycAb76iwWlyIEzB858FDjzIgsDkZo/j2IHsGCqEGgjNHuxi70/zZjbvjP/HVvwDylIxZhLBSS2tWs0GvcfDwUxKRTaen8GRPGNX2GUomBtKLQBTUCNQU3cVGhSQ81NbMWgo/fVJj9qqKsA5D60Me6ns1pQfK9TD5Pa9X7MUDUEPcGCllwMzSwbKwDqCTakCm1qQVujyctfFegSR67xq0KL9yL5s5/fo8R1Nlmyd7AIoLxbYVB/hp+rRBAyz27TYhp/+hXNZBgmwh98R/KZozACQ/+CYpOgBx2DDwaOVxf84ZYqCmniAmx0a615JHq/LyHSoQYBJlvFmE+2IJn7igdGilB+m8M72lvbB4UzAL7xqwfOHDjTT/1Jx5kXFG4yCQr/F5EFwvRjAMgqibFXEQvmNB1TYbvPWZ6uZ7Ii8qULs9UPV4GKETirvgGdKSPIhGinFXXCQtWFQdK/OPkRh1dpyCIpNhbJ1J4wPwU/ERQaUdaDQCYb0J4V962PpwcDW0lRv3sGCNPwSqoeOzTAhmv7ppE7rUZeh81RFGvJa0ittor7gXtRkcAA39jGN59BgQU7Fes0SYxhMIISEMs/JaOD79fnQUeElkJsAv1wz/jjf6T49Lfb9fyNlNXx80CYYQamGvdxusgwKbEyMm1fXJAnU2Fenb9AgNOuwy31+dUBz2ic2eu5nnt2aA5PtQ8KZ4ADZz5onBmVhN2xA2duthdVeoziKUSwymVQRMgtuS9MyffmIvINNwBRS/mJcqRKBNswxc7n4tvPErtPraCJEz2YFDJwqZN1/xsDpL+P0EAehEQeDQ0hKz5i+8RCN+qlV1WTSVg1TXcQHVYwo/COYoXp2zGoZtQPr6e6T2sIdg9gtvM5x6spM+rWLREz31q1Vc0iavZgByafgzL0E/ncLgAKM4FCregLiZ/p0cgUFjW1YDQP7x2Y3v5M64/0Jg840lGIKx7emBD/4LfbJJgjZSjmcprY3aRrF2LVPXUDVQPk1M3d4tHyI28Nj/far1PUMlHSLedSs5fogVMzAB/t5e2DwhkNnJEDZz5InEEqafPE4sCZR9rLKj2qsWv4E7tm2hnEBAaIGtrwc1zcvZ45Zm2JYr92AKywDTxMkEFBcCALwFPcYJg81ZxkhQtipDrBzIMqADWFNgI2hW6KTcysRYAVUWH4zmO2QmGYlkgcubq39blxBtP3NvN4/yO3voXS7Fo0oQdp5/HhZsHcmv/dnijrhuY1xpv2lPQoDgIcNEumH2EqlzPahdfvlGCQAzL/r9K4d58Js5C9FzAun7k/cZTWx2qe7gXUkXq0ZO4pMa4EoOELHgXatX8VX/F00YsgJBtTAJWnvA0sfmvlN8L60d6tfUg4A+DAmQNncoAfA868sDR0MJw682kyRWx3KqnJDdqyuFZLbL4dsqxlwjD0EE7y54QazBYYxAIIdf0aMC1znOgsHxtabz5fs+iIqmuwzXBBBGjs2j5cCMNu5vXlKQR7YJmeAgXHFGNoVV8ROdKNinEGHsHTm2gnuNrdeL2MaGiZQBhYI/iIRL1GvTEoSe96L3MKFK8lX/wv+pD9N2KmABMUKAqt9hrpS1Tshuqb10SAGCXDm99YkvKB5DeE9CqiCSmkMZcz941THcLsPlDtX8YPTgzMsprU0vXcZJhmaO201aGrOvaZ4lgQbUDp/CmL543i/ci4j/Zk+5BwJub6wJkPFGfoSgXoX+fnA2fG9rIYhowGEp9wSoZIRlQX5jjmmrBAzbxFLp/alUpRRZP4nTefkPpE5Y3Y9l4DbPLGYKWxdRZwjoaY9qz2fIvAjfde7VQ8EMkde6wmJNFJC6YOX13evfdNu1hkVKsLdmQABfB1wVXX/LvAETtAMDzzxkYjEc1NAol0sOY+MR9LAlRGFzsIueOXWcHFzLW2CQ8l8zl5UlCUYUFLVYFFoRWgCmhxgOWuHcd/KcRazKwcC4aBQwbP3DRjgPVTg275lY6nAKoZPEQuPF1w+7lZ1GcUYhkDkeACPYslBY9TBye9EsYQ3t5mUJz7f3390Z5qHx7O4MCZA2c+Gpx5kYXBDWeA5zVDFRo6vGu/6lpraHa6u0cq1WSEExhBmxjDkUapVgyT6iazBJL4fhDm1Mo8SCnNms7ZolA1H6h65TUV5GSyalcgk8H7nwlkrH3mcT01Vzz+hfJIwyqA5pNoeG9dMRqbEKvTyyvghdoag3BBVjdzgnzXOSYoM4TVS8/2EaSZ1++jgKWzVZj2vyiwAKgKVLL3hfoGMGRmwxCsSAULYc7n5GsPw9q3vqobXrWbBWOCwqy5X/UB6GlfsHQnaYBIG4TZ+6ixAgDUatoi1rKh5Gf1vVwOOF8M4B0BasTXi5nAU/x4ZPknon1IOAPAgx0PnPkQcSbSUpPHDpx5a3u2wgCEFmTpKV2mOOeFwmkY50N94qwZY1J3Uync+wd3Psr0o8HDJ7ul2Q/7/A1C7Tom5Xs1SSVYapDC04OQTB+mNQEAVXBk86iAwYi0mNDegrFy6BS+uuhN7w/51q7xfRdc3Ul2/xyZNFZa1QXKV1mS/4Uwa2r+adacVG5FBsuQorG4Rmt2Ww6kiD4ngDkQF7V86qpAVdv0rapxTFHrYxKcQWJpUA2K5jnSOesUM28haPmwST8YZnoy/2keGq8Zc8FzlejXpICqWpG1EGKxPQVa+hZDkD3Rje36HogE1/73sDPwwDD/fSzoYLD74hq+jja3DwlngIwMPHDmw8OZ/P7Amee251sYQksd51ydeV1rJjLBEzevWSBNrAI8Ulh8vzgyQYh7ReQswwiZASEYJg0hLOjvU+3OGbZXgfsGFVY4w/yIEAI3AI0gLVKle/8hBh/iu4vFmJQZUUmcXUu0/d6jGK0JuvkMycFO/TyY2bFoj0AqfmxfucztrcqagixoaBCoNsvPpkjVmYEJMs4JUpht1YAUZAsYchMhxvP9ffQldoarau8XtbSnopAYR9BeFbIxGjdosaI78b2twsRXCILljvHqZwhv/nmbBLPfTtNKNM5nrCQohVBT0x95RGEC3FoEG4kLr6A1E+YshqMG3Mo9uIrhpkK2tR6T+0rz/kiejpXcDpVmWErhPtSFt7UPCWfIXw+c+VBxxi0j4WsBDpx5S3uBhcE61HXgMJtpaj8WuzPqQT2Gtu9X70q+mpZIABqsqEq/yn2UAHrkDGMyDYJhZsq4JnxXyMnTIdcaTYENnhdtJkMosKkF16gImNgYXQBiBotAmM186f1JpmdC7DjHSulvy8IopL0imTN/7q6WggwL6mH0c0LjJ4WypM6v2uw1KrENmm/kR+ciK4RbY36c4VhtueM2S9XwC8b5wwR4/0yo7c/Mh4AWde3fJxIMdT+tANbHQfBmpCEsrxlf+zOMN7/XTCiDM0KoPXXO8CFe0YUWDs5Og159Dj4uoEcp23tRQRNJIRZxkNMYcLCZB1gRJV/vRXPU+BX9uXkOhYR03jxUhee3DwVnorMHznyYODNaMg+ceV57vsKg+Q8moscRVXgWtH1NrkGpsxKZ5sxqWr4JvudQu0mIEFOtpqWik5hcxVIFUmXFQMOr/rpf0TU+q+8OSGNoU9P+xQp/2E0tstq21BUvk0peyIQTiMi1QOuz95DdjEoEGaJ51QWT0uSGXgvdNf/w0Sn7bDBMsyeFcoPA/3SzFQqZoCQDOcOTR2jHcVJyM2Kq3y7E5gRT6sFkSeMQfIKPyYGFKYFIApByZWICJvC9dcK8R+YPTW0dVtgmTIUWIyWdrzSEwlczw/hMcN1XGIVQMAtyCr23EOAINAthjuhls6yqz606BQD1fGjykq09AntkOEeLftUoJLvXUeyP9tZ24Iz15MCZHwPOmMZjFSwPnHlOe7bCQNPrKMW6exuapjORa1Ax8CiyQk7gBgzBPFGhkdy/ZxoYsZfRRISLWK34KzBB0DtiGBSAZLSqKkGbgBugLXyc6uBjkwvYpjcMgYiZ+cycxOCYP2fgSOsRX50wW543jVG+tQsBLf19BhyFtp8atroACIS6EDc0iwpno2H4ZinG7EFIQ9hw/xsmMUyQlP4+A6cQagNLMUBCAJT1OfvoAU3mTiSIkGv9AmVz2lqN/AblNtzfavmbAHMXvlHThyKtfqH1++SKigtyN5XmPUL7p7yVzTlcoOMxamZEGcmTzG3mXx6DkDpbT+daRPz8/V4ODh3h5e3DwhnABQ8HzsyT+GHgjPNKKgw4cOYt7QUuifDZ2SeKDxqau2vsrunY3NhxWwXMQT9CahugKLygiQWJKADycpsCgIhRwLBtbgmx81z4e4ZYp4mYsZpAaJMKi03yoB1pgGqPnlZySxrZyqTBeFZUzBQYCkiYLoksX9ujjYjJdmcr1P8YoErgSq79w1YAhcw0mIKsg+avXYjJ/YoqWFUdNBgNDE06ABwhXToAmQt1fh6RmPswfOGCNIECCINvsik5cRycbOVBUCU0JTS1AioN5MLXQLKBlKO0nj/QVmIEkyQD19m/2IWT+jDUorE1BTkA+lqQY6FjIKupuee9gz+DN5NhbE7thwPITWF2fNUP8P7gJLsj2a8uP9oT7cCZA2fwY8EZdctD/6E/cOZt7QUWBr0SlB5KdK3kjH7HUMm7gqe5t0gTnyRPdRK4xKkH8tjm56DC5vtzhjCzFiNCkEeQef3zbOVhXb+Lwhvq5jNpChbOgF9xVVGIIGEqjP/EzYTO2RYMFMKsrvFb+g8VMeENc6ELtBZbAfBCII/+RaXbghyaPyymdlXCKoyLMDYpELUNVdQDuhiKQlZlLj4TLCc8isTEJicMBhU4+Pj4Bs7LVf0woZFlpjFmBv7/7b1bkyVJch72eUSeunXPDAEShouBJpNkJhnFF4l80aNMP1Z/Qb9BMhNBUYRAiiZeDJJoxGJ3Zndndqa7Trjrwa+RJ0911QCLqd6KmKk+52RGxsXD/UsPDw8Poa7OPiImyGkIHCacxGc90CacmuyPmmruLBFn3SqO+l14Y0gZ04xAgPRzKM5IdX0R0ZVZYC8UdCAc33L283R6rnAuZeHl6XPCmWzDwpnPEmdY+6+fWDjzjPRCH4bg58vbB/cn7UfyGkN8ERFEDLbNpcJDwcEGmCDY+obGuuUEves42QxAZT6dlFyb+71/vKGdPiSDeNCRwXDpZWZlQjQwK7cyA4PUi8YdUpoxcWUiJsQ+Y2oAd4A6TPNH+RPdMmSCjI1AJ7u3kd1DOvs0gXRRgZCGR2n4OIAfBPjIFLHSh0mGniArofmrs7EKsnqB64yrN3VGRrSrgajHeqiOnwkF5yDqbMDMoQKAGriZtg/Yn86SRAgshOHI2M4QaSA568yp+7pw11kDNwgPA3pbB3YCV6mzvyoQ4ehTTIvih8BQfb2oVFdT4TXWJpsCiff7qkTT9Nz+Vq1jvr9Uh2elzwhnlG98SWLhzOeLMxK/F848nV6wJBHGvlCunAAuQEXXj6QauRFG3AQocIciEhUeIfh2ZgAEGQONCGc527WO1glb29T0ZN6xup3HNP+w7KS3qM9YxGK8e6z3NsyhWQTc9MEm7pxTGLoZEIBVgw87G6nnsQmq/skknOICvimleRNQFxNqzPuNO+yoVsJHNiFmwkcBPgjhg7QUZNqgerxYVab9x0zAtH/h3LlEKnBDgE0IW9M/ITU3xqlrzUaYyGZFzf5sHVEMNggxO3HnniHuBORewWpAdNOjMCB9M0FODV8HzURP3KFK4GfqSbnvY+qrzHmRLmQlXh4ivkU7ZzgAhPQoWaEOiimRAg3YaOFABjaQMLc0EwKeKnQe9NeZAY3ddFwqrHolPW8G8ruZPh+c8TZaSQtnPjOcqa/7hTPPSy+M9OgNcaG2K+68AY482RB/i+tLPOgjErcYALN5tJKaBwfOaER4PD9CHUiGhjS9aejoKszQdSixRUo9uIVRRy2cokL7Iw/IhrMgQshWw2f8iWq+EZmsq3nOF+bIVGrqUK2+avK2rojyJ5tY+FOxNUZAuoA7MKjhzISP0vEoLcyDj9zwQRo+SsMjOn74puHjdwokjQhbA3prePj9hrsvlb2bMEgG/GiWDmCDYEBwFmBjwQZSgQ6hHzpjsJmPv7hZdLYlpJo9+ziKav0uyIMFXGnodLP10QaoZo1HFYiBSZBTBtMkCBkmdFSAX8dROTC9yiMEmpmkPWlcd3+HNA2uoj2GoEFaB9pmnx3UdC7lM4VQPjVaUHIVOX8kvxSvOr3ib6d61UXmQMaqyLxVleGzwpnS6oUznynOiCyceUF6gcIgpQESupf5Gpt2Fu0ogh++zGre83U6IwBD0IUyoIpQrkFBTVRjqAnx/Dhw3hitWYhNgg2gaYFu5ts3hH3dCsXTV/+YEmB8kJKeFMWoMicQInj42PQ4Ng2/+9ohbK3RKLwBsNCnskHDoHbz/qWGszQ8SjeNv09/H6XjgzR8+zXjw3eE7/5S8OHn5hFMeipf78AX/7Dh4Q+brfk23H6x4fYLTILcRY+U3UQUR9iOmMUASdMz3kgA2w/uWquQz4coPH/ZvMF929DAHDNd+YEspo0Lp+3zFjZQcHOuEzwBN3gONOWJ/dJw8607HUmpWAU4mMDXlcX4JYozDT1Mpgrc3l/vc4Wa5I9LQcsZcLVwrfSS9DnhTKSFM58pzug1djPPwplPphcFbtqnFNa5wfvr4t13bV8AwEKiUgk/anmZ1XJ1BuN8PmuUNNZZwbZ1bH1Dt/XF1gTMBhCFJ0Ifs61Je1ORb7FmG2QmScckggICmYnJNH2GruMxmuOH8oWZCWlTQYUJcRymcjJKn1SIpatD0yM6zlVo2b6j41E2fPuLhu+/JTwOwTf/lvHh52we3BR91L3fwDf/YeCb/+DuNIR3f9Lw7o82XX9shLuvGu6+0INfu0gIsc4O1JjXqaFDZ1O6l9gCxAqb4Di9fGyNAM7wBaAFRjvWMda1P4LNFSBMuqYbA0LhBS/OK/mRo1pNikW5cMEl1/xthjLZ57xscnAm3Q+tTxrtUsNP9Lc6ahm7hu2a+eTVJ1OZPci+8280LZxZOPPbwJkYyIIjMaoLZw7T8y0MInO0LLjOdfSJEB6Vg9SeVKB1rtAJUN00Xw5DBOP8iMePHyDjjHH+qJrrpur0djrhhgWtNyU9sZXfgvCz3sZVrQ8sCc9l6xsL1Azm+14nlU2USckMpKTn1vtyFMUCntgsgGI90dcP5SRqLuzAmRoeZQuBVeHdzEyo37/7BeGv/5zxm78eOJ8Hxjhr+9ssyCKCMfQ+DxMIEH71q47t32zYTjc4nU744k9v8O6P1Xx3+wVw95Vp+tBVyo1I1yRt+xEzrGyOQ1VSgGGzjo7eyXYGmRk1uEC/+0zRia8x87XdEXwFKLyFeEJBQVJ5QJFLMX1fqpbv5mCbsQgVYdCB96AxrvGH57IPZOximk3HF/JQ2rK/v19fX+n56XPCGWDhzOeMM6kULJx5bnpZaOiDJociD0zaUJJLzYDOfJUZ/GlpBBoq0ON8xrfffYfvf/MdHn/4AZAzbnrH/d0ttm3DnYVglRgLM/N43Xb8KZGY2Syaqs5OgpgkqG+SgQ8jgquICW41RUWnbD+0xnUlXeNsxgC2xohNVMs3L+V2MmHuZMKrwvooJrzYVJBxwndfAx9+0/DLfzfw/c89eIh6c/Ng3arVTDsVwXkMfPjwAd9//z0eP37U/ckg9NZxc3OD+/sH3D+8w+O/O+OX/0GjzN3/YcO7P+loxLh5D9x9RTgRoWMEZ/JgDB4Y57POvsYZENuP3Ru2vmHbCBszTpsJtAuz+JariVWMg2w9WNokyEpfSn5ywZYi0IXFxMPoioBrOZQCDvFxlguBU2Augux7uI+SYfvM4z/CCPh3ZTf8zNNngzMwnMHCmc8RZxwffBls4cyn0wsVhqfbcnR/XoVs8DCfEB9WG7ymh7ScmfH9Dx/w62+/w/ff/hqNgPvbE4gID0MP9Qhzlc0c1Mzkur4UeaNsmH/uBtjXw9R3RuK7BOOxmpN8o3Ds85UIMFLjt6eJkGJdkU+A9I4zbfiI1Pg/yhZC/O3XHT/8hvDLfzvwwy/ORWOdpUHPXT/riWg88PjxI7797jt8++2v8ZvvfoPz+QwRoLWGu7t7fPnFV/jqzJD3gu20QUTww78f+MW/VxB8+MOO93/a0Rtw+w64+RKQoRr/+XzG+fER5/NH8DgDwth6x83phNsbwQ0piBE6Wtugh6ioEFfQ9xCrqplr9DxhjtCs2s2Zc8SfM03es1XNn6WMU3mJhMIhJT9yLVJnjGSmwrRHZTt2fEP1x/XkbaBrgPCClLOfv/tZxE+dPhecAZxzFs58jjgjzjkLZ56NMy9YkniG4jJp9ZqIXGtz85sJGyWBAVuXIlFmIN1e8zgGOhHOY5iHLKew4QA4zBRE/t3VRvLKJLVKSnOhwNfMxK67x6o+44DTuzdXYi+tng4H+1MP5WaeynRSkyH3DWc64QwVZP97lI6POOE3Xzf89f/J+P4XA5Vh8vhTjUBHNm0Zg3EeqpGr1v8bfPvrb/Htt9/h8eMjWAS9d3z8eEajDafTDfq24YZPui98DFWq2obHvxz45V8KiBoe/rDj4U8BHi7Aj6CbM7b3SrBG6u3b6QRut5B2Cu9ftE29x2XYuJhwiaj3MA3bXpTrlVVjV7JKCHSa+3zYJGYBAJAR1mTH7DrWfMwhwYPBnNDZG8XvTGFhptKWv8P0JpWFzwhnolRaOPM54kw4NrolaeHMJ9OLQkPHv2Hqz7XGC6sQZoGu9zQYipq0mGDhVzvQBdvpFnf3D6Z1fgSJoJ8aqPcUPhfGaZ0IUHdiI7/4VqfSCP9evJfdqTW9VM2dxztEOpCqKQp8w3HsfTatX4yf0Un3QZvmP5ruaT7jRrV9F2T7/t3XhF/8OePDN8eD1hpBPB66RySzVjYi9N5x2k64vb3F+TzQewezmhNPpxOoEQYzPn74mPHRWfvTuxhIEICBX/2/j/jl/6NbyxQoBm7/PuGL/+yERidsW8P21Q1Of+8W2+0N+tYs0lzXY3kN+MgET8OuGOEFsB3XiNCrXAbHPcN9KSIYKdcHxfktxj1pNjO97L7ZMhWovJDcBuWafgu6xmzUOVgK++yFK/YvHb/mrsliWLYvpspzWW9PaficcMbbtHDms8QZD8RlHqgLZz6d/ka7JDw5KWTXsMp0gGrXraXWJUYAgYVyloZ20/H+iy9xOp2wNQKPRzRhtK6ePwNqLnP51ToJoIzo5W4kVX41mlgK9uSMZM5SGpmM7M8mDL7+1Gxvt5kKI1CKCTN1ZCQ2+2TSdcNzOByppu+mwQ8/dHzzfw98/GbWUJOGBIDRW4dHnBvWXz+ARgS4v3sAkZoGxxjGCyrINze3OJ1Oug75+Bgz92Zex+pIlKhFBPTeQU09xfEd8N1fGGCcTrj5kzvIwy2INpzeUSytgsy7m5y3c6ZCgAafAYxR3QzoeYyxq7LgYyf7V4YL1F6UkfnEBNK1/JBFn2EWXwkneMShJxNmd26D0UzNxVH/rj1ApeNxEh/mT8lmOcxmpUyvDWe89oUznyfOsIeGFl4488z0AoWhxjeguAIQmmnbx/3Yh4bQ9RxdfyLzBlYh662jtYYbEHrXCGNjfAR/fAQwQKQOLHreeNXX9hpW6m1euaisJ+pQfoW1IW5R+hyBkAFS3CRoAjx9t3VEOanWrxr/Sb2T6YSPOOEM/fz11xt+9i8ZH755fIJu3hNloAYA24ZGBO46CzjJCbc3t7i7v8M4D4yImV7p0UJoXEA8pfbpW8ea0t2cnVpDAEZrhG3b0L4/4dd/vmH8QcfNf7Ph9isA5DMS8/Jq0GN73cpDZXCmvu7NfJe9t1wmjFK2v1NIRhWq+XNyRyuVm9BizxBapgN71F1Kra1dr/PfRvqccKbUu3Dm88OZoltYroUzn0jPVhhaI2UqoJwap96qJCZOGXMVlgEhMUCYfvyPah40UOtAa9hODdu2YWsNPB7x+PEHyPnRmKLaD1QN1/22We23PyO8++MN576BaUO7Odv+ZAJuANwItjNwMwi30AE5AbiF3QawNWVkuoHub/abJ9g+Z/2krVzbRLc0tYazeSefabOtTRvO0PXFr/+N4MM32V63DhGRMa/R12ckxmBba0Df4J67k95ZtFsvk1kwzgMfPz7i0dYKMXLmoH8dvXdsW0fvG7ZtC2Huvem2MtIZQu+at7UG/jXh1/+G0P/Rhu1Lgc5JTFNnRUJfXjBfZqhLUrO1W/q0IBQTYfRWJMZeZwe170kOPVyI7GmjCe1nCzTxq2vmFUBY3I3KnnMrSKxXr/S3mT4nnAEAhjoZLpz5/HAm/RUWzjw3Pf+0ytD2U1MtOpNnOnow+qumN6dBMxku+33J7HDmLLydTpDW0Ang3sE81EvWGV5g+5mjBoCAv/rfgS//4Aa3/Q4nPOLh9jdoDwyyk0xI1OH44XvTUImwEeGegFMDThtAJ0yCSzdQILgF5Ibst/25sJ8I0hsGdZzRMdBwlvIdDWd0sJyL2q0fuyWloKyuLepaYAOZctpRuciDrLj5zL/zEJz7uZg/CdumiFeFWAV5iz8X1tbJANyEvzf9bUz88WvBN3/B+PK/6Oh3wO0XPo6+aUzbDNE47wLBwIaPHxu+/4UL6iekwQBLUFaNRX+JSV0Ce32EnEEKPcv9SYiVxsLQ5WmEm1PwGO+auVYLfjvpc8IZAPhANxhoC2c+Q5zZWxYWznw6/a34MHiqZp8aRMUuwJ1C/CoD6GbO8fyqfJGt42kI0t43zTVgHrJZRuWDKge/+vkJd398h1N7xLY94u7+B2CQCi5UgDcRPHzQAd0asG1Ac9W/aPhtMwE2YVUht88NEMsvvWGg4ywbztQxoOuJZxPigYbvvwbGD2YiI1iEN6df9qSuU1HYOE0IbS2VyOZP9jnxlkCFSTq27QTA1gqt/NT8WwhzCnWP9dWYY3n+GD9t+MdfCH7280fc/D7we/+o4fZLBRmC2JjaOp05IQ10/PArwtf/6tGE8DkKQ9X+ZRp33mWt93J2tJ8tUkRe8yy+zhm7M+Drm3UGUtiNrs9cVvrtpleFM399wsOX28KZzxBnpi2FC2eelV50+FSQIpRWJ2qVLJi5RdLsYqYuX73TaKhqwGFR0lYtTzVXsZnAUEcRP+vVGFyM1F0AEWc6CsH4qz9jfPEPbnG6O6PjjNPNQHsY2UbL1zuhCdLkVwW5I7V7E2A6YRJyWJhW7g3DjoRVb+Vup761+PvNN8DP/49HfPiGnUweGTaEOc2FmVJ33a3T+syHlR6u3QfDkToRAf7pgW1SkKvZMGPGt6ybatlJuj0T//Bzxs//XPDlf9mw3TTcfnUCYUBEzYSEAQHh44eOH762tsussV9NxhpCVbCc+2h6gSQompmwhG6VnWkQZqJWgbXwtwLdliW6jmm7uuEha/G6LIS/c+lzw5n/9M8Zf/QP7xbOfMY4I4WvFs48nZ5vYSjESsLUe6V79Svls1IYyRbTQsMVaGx3gR43yyzovRnxmwLI1tFbAzULopJQkonI9tkCv/55x+mPbtH6IzoY729/A8JA1EjQsKuCDIBSBHUS5A5bdExhFjsIhkkdjwZtZgpUj2UVajUTDjT84l8PW1N0JjO+umCu7JOb5bxvQW9zmvHncwgSFYgIZCZBTEWkwMZ4WN1UGuRmQXVm4mBkF8JSFQiED79g/OznAze/R/j9f9xw81Uvm4gAQcP3vyJ8/a/O2cdP2tzqdqfL/NM9pAD7tRp3vjyFgBCbfaipUHT/tli9qM9J0t/bQV6XDcA0jiv9qPQZ4Qy0hoUznynOhJ+CKwYLZz6Znq0wRPALW+ciEcSKkeyYr/4Kzd+Ud9c6QTsm0ryMhrNtZ/LdtQ2qjfVOuiWp275c+HDkfu3agJ/92UD77za0P75Hb3p++8Ptb7BhuNKnp7uxCXGnyakIdqiLHxGLk97nTpBNBXhA/xhbnCPP6DEL8L/vv2kYH0vEMbjKr613JScJl5p2OL5Q3tPLtmZoeUKOQUnflrHXa3nNhdxnY87tVOg4jaiqwWIzgZScJLjPOj58zfj5vxR89V81tFPD7VcNJMD5kfHDN2aC83L2mvs+7YSYS33etpgg2FRKz573C822tCWvaB8Z4cg2VU+wjVs6Li7QJABaPJ5mx5zBze+yS5nQLuz6Wk893LXiLabPCmesEQtnPlecuVQQFs48nZ6vMNjgkbjhxLuMFMjaxsp0/h63gzeI+rR2ppqoMoryLKP1Tc+mN12derdjXkkPXYG7o6hfLIuehqbMJHpoCwv+6p8LOm6x/ZGgdwY1xsPdD+ht6PalE1SQbcuSnABuKsDUxWKzA9LV0QidIE09o6ug6nnuDYM2sKimz9QwQDij4Rf/+hwey9X5ymnpdPIQolWGJ3pSAmAIsXmFpymRIh+1nifP6WJkFlxBA+WeM7wo4+ndlgIc40mZP2Zwagb94RvGD//rwM1XhK/+6w4I4cM3wC/+9UDGz0e0qZoFqwzIAVP5+l+21MDIn/GXh80YM6eF6SVv6dAZDbsXvPKngiLrWMSpP4AHAYqmyICDHEXzdmvqjSaavST9bYR+/dzS54QzAEA2O1448/nhDFNtxcKZ56RnKwzbtpVtrlx0omQ73yddibprmTJWayrUks8TkWpX5HqrHVPaKMOwEkLDFVFtTNUDCeXUWRoQX7TEf/wzgP7bG+BPWLV7Ijzc/YCtnVWQB0yQJUKvogHSmwowNfs7QbCB4euIzbR8/QQahmwGLR0i6sn8/S8J4yNMaNMbeTY3zWlS9IOqhY47wZ10TL9P6SGOIswukARAdppnrSN/axvdNPsUg+0F5+MvGX/1vwx17WEut9zMu59F5OeVCcEnavW2tXKtzjT8mmv8foqhzUgUTSHoQBMdS7JtXISLrd7i4+fgcb1pTyZvG12M+ttKnxPOADb+C2cWzuBt4MyzFYbee3Qi9klfCHIScTqkI5Ql3zKjHqRkGp8H9IBtNVFtXqNykJ/8FmYxn3MgtqAQMo9xJ5z5PP3HPyOAboE/bsDWINjUbLgNNBFIA6hTnCYm1CHUwdRN6+0QnCCm6Yu4Zq+Ht4oJs5uY2J75/puGn/+LMz7+UoJi2kQVYt9rrmCUv13ANdsnhjcYjBzt4hnaC33QBs9gstTs50NXCmwcMK9zxVRBCKlMv2eHIwMYquuJjs47rb+ubXs+8mdRQHJXj52F7Mq4riuyBVEhE1jT/LkBzRygrIyG4vXs38JMewXkZKbZU2kyw77B9FnhTGmTp4Uznw/O1IcWzjwvvShwEwotgBzmdvFN162CDUrf9GjSXJNRzdScYkIIOyAjZgQw7T/XIlMg9sojrDyYBpcqLvD//TOC/NNb4E86uOsa4N32A06kq6QwDV9NTCqULBYuFR2CTQVY/OAaF2Dd0iOkv8UChnz8FeGvQ4iNLsi2kjkUBesbc/qsIJRJ7x+VPtcBOEgyfSnCa3eCr1HpjkLjkhfXeevy9LbjmUxmMIGsnZIEisrILhzx4ypo2JNT3RRgGb8NFFzOBa7vex8LcNnMhD18Knl+DpolaZO+U53zIJSfCdbPFfC3kj4rnIm0cOazxBnLu3Dm+ekFCkMLk52HO0vNf04xM5jMTS7QzjX56VtpKKOtqPYvuuZDEMSxrwRk9C4fvCuaMRH8oBgxIPqP/wxAu8Hf+6MNo6vz0GaMrqU0kAkm0MHocV2kq4Yo5lUNXTvUNSkChPDxl8B41NZ9/RcDj7/MgaoGPR/EKrzODjkrqMylLdRbCU6pGVsec2oS474gweR0I1Get5vK2OTQmDYtAl8zzKfte3j/1ospUE8537gguOOOoDI8YRJiK4vK5blcxBtGvGDjFXdGguSBQiHQVAXb90hTbq2CR2FL02Og8TWT6dTAOU+aBC3fC9YP30L6vHCm1LFw5rPDmT2+LJz5dHqBwtBTw/e1Pm9UEAHT/X1Kj+MUvFQ0KdXcYCpS71sxt9kqoESAsG59Mmcchu7dViywkSIYIHAQ7T/9bwL+pyfc3xG++P0bnLrNMqxOEl1PVPthi+sfviHwIHUwgW+HodIJwtd/fsbjr9RLuZVBrNu6tA4FJ4cQdfpJwVXwUq4NAbdyglErgJVrcGGGqKbKboYN6Y9hIlHmBVKYk7+oCLWbyETpI+6URll9pJmR98I8B0qB9nF6pNyPGzlrogIrCnwmjFYWUAT2oGUi5UhZce0/xyfWGH3vNNu6t9O/0F7Xt/fCuusrLl92F2kyEb/d9DnhjNaBsL4vnPm8cOZIThfOPJ1eaGHwX1T+tSvBSMm00UbLTBY1LGS15ikXaBplwGO4Crk8+9pZszzmuCQA28smGDBbFd+EgJ/9szOIgD/8Jze4vdM1oQZCnBpHZcuQCeov/sUZ5+9UALU/cy8MBrIezIOcWl/pn88AUMyf8UBhiSLUWkYVrNqCbMlUmPgyTSGtACAFSZ90RXe9NC9bTGBqO6oA1aominhXKhxZ4kqVkv9CWThKM1jUTnG5ns2nbKu+AzAgBkgEBgPmICeksVuZBOwzAK9CbEzt+qcl9IXJTaZPdf13OH1WOAPgT//qZ/jh5iZkxQ3PjgX0P6uC8+6fbLi5850AKIKmWw+1Qepz8fgvHsHfWeOpelN4uwl/UBpO5boXfZ2Cl/n2ywWOHb5UE/ldgOpygt933KwyHmBVy7Ma45otQ3kTxF+mloTzZQ+7Z5YIFp7qctO+Wzk0poMvQxTLhyk6f+/rX9nPhTPPTS8KDe3aafzGtX64fobCiM5QuxZeIYTypWljJjse4pWK2UYjuKm5jsgE2rQ25V1WzTY8oKUwLvBXfzbQrRktAAIhKBTAAYTpzfqzZzSCaYgOVKVvoQHGDOBa96sApHCLa0HiIjkz8jwupQ2TJErNpDlrQwwsvZ1CALFR3pUb8r4ccFpVLqYL+54qsGg7tXwHBTeZHqX6HqF43n7vsb/UmO8YpRyXZ13zZ0IKkUOTs2sdx6BtSHbwZ4Xvqto9J87EcUffZvpccOYv/+Af4L//i/9Liz8YxwkD/rlPHqpUe8b5939+3NSpH5fd2ff5yjLtZVHHd+i4jv24xNVPzVj3gzhNhnZfPzn7NQm9oPmMb7HEmZpCyat1/PU/+L3DpnqWhTNzen5oaMl1MOByTENI7eNyKAXCDA/GIjBFqzY+Aozoy5uDYAoKzcoVsWArxbzm638RxL22gCjNYb4HCgDRUwRGSrwNuK9r2TBrGf5aJr12XUyTIyZlQRKw/AVeYUUKTSdm9fpMq3ehFck1sUZ6sEsoN14GuS6VeWGKALPGYtfwrdn61tTznFqLl7v322cQflnLUSoRSeRPRk+6+3jmzKwUBCAtKbXvqcD5xfSQLwZaamYR0UwsvhatORlif/o7uM/ao05lYkBRtk+ZAlqGbZq5TjMk5KAVLLEXFVbapc8JZ/6n//F/gLm4gYRLCS6Rds+m5ocTE7hvRXY0FBjCpAg5PcjziJdfX+WGHLW8Uk/kkXw/UVZSftP0jFtamisHgTPqYNr7Ztgw4wyQOON1/E1xRkQwZIB5XOBM7G5gtUCIsNUlanEwnGm0K3/hzLPSixQGb0e+2OZ1L2+w5cjfznS7cjwO/F76Xcu3FUETSApNLJWlMhs1IKmtVM5tgPATL3K68r30m3xu8JRCcJCK0ATldpYGpWUOe12aCM1W5uKc6s2FCAAThSEgjvclgIhj7bfO3EQAZsYYDGGO+y5cRBay1U6R0xPlunqlk5mOW27+yeVCAxsqgmBmQRb/bmMYfZvhDrt1y0K+JAbK4o8DpiQHaGx5iXVEINcbXanR0iivFWIzxKaVJrTImcC0Tmw8vOvBzAMrPTstnFk4s3AGrxZnXnZaZQyWxAUXurp3fko+LS9PaQhW2MEws2uJXjeQcDoJglGGABFMU8R8bDT0ph2PPstPNj00LfGBkeKj4y0Qz2dgRbkmVUN0eIHOcCKYNLkImnIJdVmhg5hMV0tzUrNNykuxIhhTyTDBMKFmifpb1+1aodE7nVkFmW2dD2JacNH8NZ4+heC21oCmZ9f35mU7U3MMrogSkoJUlMJjB9gIq7BWk5rSrZ4L57cSSJMylGPqs4ryPpCglV6PWC4MiM0qBcq7XIAOyOd9fCgXbwu47vZCVwaQ3VhfEeZLnpmeertp4cxMiIUzC2dywH9SnHmZhSEqEqssdSV3LNFk+iDNrXOzj4d/beX8bzXpOJsR9AQyAQljCEc5ZE4kRGYCJIvIHYOohGekkYkolyEkwKeuUFr7LhCA5gtSmOkKpV0ocoZUhLjKLwQomjGcVGGqtCzGNM6sImpyZQM4xDWY6U8wBoMNJFtXRyoeKrRktGfJ/NUkyqLPtoY4r56am1EbxIW6U5w8R0B693Y7Dpf0OSr99r5ItJvgWv5hOqAx1X+p0Eyq74MkeEAPG2Kj5RDvo4KPQIWaxekoujUOBDRGEwW91vy1Ze0QsbdR1njUjUvP7TpLuBTmt54Wznj5C2cWzrw+nHn+WRLMsZUIrn1etJyPfxldiBMAiMhd3SYty2WJRNCEQRgAGwNCzNlftDzAQnKnaSmcDilKjqRlu7Z+Le21dH/w4DkbhWsmRB3DXVmuqdbLMmej8juYS1QrZ2Y1BUYBymgiAh6MMYYKspkLW1NVnIVjRgC2sgwciNRTu7U8grW1hu20Ydt6mAwBPRyIyIXYGu/j28hMiYRukfY81n5dZw3HRuOhSiffVpXEyq86Mpd09lnAYQoA1D/d60xg0UONht1nhr0wWp5GhLZrQ4ufsqujoMrlfczPpEGb4vGVNC2cWTgDLJx5rTjzbIVhjDPckcPNOZfkmx0Oo+Gu8UoHptAUmt8PAcnDN4AmrHqZbZ0h0YCoei4HG+PYFqwmKsAtHY0gstumfSCgFykJS8Y5OTafprbhy8F1Bz7biRtFJVf4JElEdKejcR8LXwgyOM2FCA1eTYTqCGRrhkXeFQDYtH4tk+0oWTIzYG86Q2IR9N5x4hPG6Cm0rsYTwjQsMhAmP1KB9yNtdeagJkU3NTZK4U4EcyGeqafVEXJP8jW6z0bEKkzs7YSYWVBfIIMZvot9CNvswI/WNWhgnRk0IgzRTVHmCgZ3zosBLyr8ev//+LRwZuHMwpnXizPPVhjO5zNaSEZq8HOS+ZNmpdZ0x/IUl38B3XNqpjxRN5EW5i3RZ61MNEIToHWVaxDQG6nmFjOBuWX196zBZ/3JCLS/eYUynutKYA0RiGnd6tnL6sEbwihw1TTWBAUKWA4AwiHk4rZV3+Fgv0OoTVDHGFaetaVItdeZYKBj4h7hARiACj/pKFFTb+hm59uLqEAID9OoBSAxQe5wD+jeO1rfVLjblmuTZt8lmzXE2NDx9zoKZbIQQ1dHikwYPVhdfcbpyAAY5kFtjlwcfFO1eInPVrh+wvho5vwSIxwLd+bac+k8k3ma63730sKZhTMLZ14vzjx/SeI8dD0rtPSMMEY20JDSFFPslL9moUiDommilQiS3VOHIQmDzYAxIcSOc9U1r9a1TpbcJtWI4K5OqqDNsxIqdfhvq1Gf8tkKzcMWMwGxjssc16H0JL6wm+aGauZjMMb5jPP5rAJn636u0VuwgyhEigCS4GLmoLcpBBkE29qT/WrqUWQzDIkyvR8UGrYXpW0+nxNweu9ot11nWK2jkQohN9KZmghY1M7mQDAGcB6C1llnE5tgkw50jYfvJkR3LHMtP8ZACiAn89kQ5HY3ECwyXObLMYXlVrAZoibCAWBAjzVm6LojoZlzndNZAgTJ+clsueIEn8Ze/e5TcPcinGMnyDPsrs1L35rCsHBm4czCmdeLM89XGMYACGV90ZyCojLJphSGmJpCPXOG1ml+r9YTwtypTsAgoJtguv2Lh+ptRATqG07UMMQ9WqtDj+2ALSjk7SX/syYyAN/3qtqjr71JCkBkRDB/Ix3ibHh6ubJp9DwE5/MZPAbGGDif7e/xMYQZwh4+P0lmYOEzIq3Jw8jWWUEKPFGuiYUG2QidPF59AcvWbO3QXLdY6TEG23iQrVNa2N624dRPaF3NvnpqHpu5bYDZZgQiKWDQ8LfN2sjCGs9fkn+awOPoRdsJYYTU3/PGdKNNi21xnlcxUErYVh3+wYyzAI/MKsjSTLBbmA2BBEMIg5jQzH2+Gfs1CLoLNw3UqJv6IE/tjDKncdVBOIgaYn1DeTG+nbRwZuHMwpnXizMv2lZ56d3rSSa2ycrnzGJaIdzTdNdQunjC9Shjmei4kpyZwa3pIEU+D82k/wpMI0SLuOqX/QpWcekvQgEVpOhXtlASG1QL9bVX65gzrTr9uJewR4qLnLEmWLV9ILVxZVi9qiJaGA5XtpnV/lEJP1sazyLmmbxh6xt679pmHhjMsR64mdZ7ujnhdHODbdt0ZmWBUYQYKhL+vApKzEh8m1QD+uT1nKAZzfLxoErfMj6VYy5CpNWSHOhM4/exAGFATZwDBCadBVwIlCI4GgTD4Gr4TZuBQfzFJrZNb9c+M6fuzZ1TE5+6TrN8vJW0cGbu08KZhTOvBWeerzDQZb0X5NutCe09TWVq1rVeHCRJDdDXkHyAIpJXIwiZc5J7zkgKlM9M0rJj1yhZIWDIGCgYEamRBksVjU5ILOCLxDWIO/tICI0/TKSOP9K7MgMA7i3y0MQLaYZsQrHtyNuiJkh1NMp90S2YR1AFefYMFttGRgC2rWPbTiAic1biCJri26a2bUPftvCIHnwO01wrnr3MIwVZkQLq1CO6LgmZhn/icxdimLnQBodoB64uqDmSMTYeTGXAZwDpve1m2yE6c3WTqu+RdpoLC6i1mKWwSPCIsNgpcw5WAmHK2cjUF5n4aKVPpIUz8W/t6sIZLJx5BTjzbIWBQKWR2mH3HwnGM2H3ACv7BbdwpLnSqUvHkxAtkMB0S7gepvtaB8CN1UQFimgtAsTWJ68x16LqoNdmmuBbLne4IdPsKgzpcybcjg6S9+rBJ+EIRLrmCSLAnHV66+C+RXCTAB/O2pwunRq21iISmogL8ggmTZsUBaNRMJj+CTPONNBYx7RvG1rv6FtH7z3qDG9jyu1LHseVWQ3F3sxwJgoAUdq01gAPw0qiZrddCiAVH6EqpmWwqglul8v96YeNsuRwxt5nFnU+YhHIUEMkgzGmtUD1VG46tQSox3g03wnFAiLWdVVOM+s8C8m3QQLPSp9KC2cWziyceb0486LTKkNvjDU6F2gfTfutN3ERsiSnCKa121DQHihqdpk0YQbQSw4XFGaBNEEEMCFCjQHuH7NzkX3uTIFEKYBElIBARVrLgGXccP+NIsBJs2aR4ggWoKQ1NGaMNkCD0Lj0x9aznC5EhE4NvXX0bQvv4PC8lWuCnNqsCzKPjK/emgryadvUBNi7xYbvpqXPGm3OuJIKSTcDS6KIOa+gk5Ds64UwcJzYAgkAziV53a6RP+/rebk+F5856QMbqLOBjgdXGRCcIw9HH8QaxKJ80ERsFqCBWQiwMK5sgVYamszwk/KBoNk1a+FKc1o44/1eOLNw5vXhzIsUBiCFCygas2Sjier2pZoJaHVNjKEmJJFY9wqHnvJ4ziUEHmsbZa2NS362dvRZfqORvq8VtNP+vS77UmQhhNzXGC9mM1LueZmTAJsWDehWGXf6cROiCekgN/f5fmgGi0WhQ4a5TcygiLFOW1PzYRGuvabpJkTX/EPAzRlJ9y03NIKaMm39kJ0Yotq+xk3XNcWim1t5KrzUYIJsE4WWEfCaiXKlfgXQUNnhAD+PoedFlJLQwEinJAalMAOm9VsEtgGor5U95100JggTpdg9ETQGuOmckwRgVs9rNjtjM7Bqpc3BR9b2q2uMK0VaOIOFMwtnXi3OvOy0yiMmnq8UQh+kohF5LHeQbmtx55TMagJcxzyfBoUWrdpsBt3Q34UfjpT1ubhdP7V+mbX9+L7rf7GTuhDXNVQ1mZa+m7aY2414crhST1+OqgQw5xxjXhEM0T3JTVhNfKRmxLYVJx+0XX9dyguNSxu9PX6evAutblvSdcjYcw2fGQ2I7S8GYYrARvEbADnv1DPhcl2vDvKs+e/G5onBUwGmIswK8oPFPJVVeAcjfouQnkMfc4z9tjUysXaBVV71w200SqBtpBPHfZ+h7AMCr/SctHAGWDizcOa14szLFAbMxPQ1tziOlqpOZhdm9afwEyUQUGani+HzlKyeleUA+HeBaLz4YI65Lbm+GJTPFr9IM6vlZp+dyfUORRY4EDao6clnIaZZetCVWJP0Esici1qLPmq+ASZCFwFtBCZGg4VJhYNi1q+aOqWQVdNfCLFGblOgHNEeIrK90sOE1mgWtBOg6cxOY6S0yUPZm0JOEwNpcu3bcCo+XZhTpoPebgqmSeMn+7OZABFYyPY/C4aQhWRVQWZBeCKzuMafDl5lyDDN4ox7TI6RzkiFK0reZVF4eVo4c0GRUu7CmYUzluMnwpkXbaus22pcVKhcv2i3TCORAu7aUYm6dVV+ayrar5ZctOHBoG7MLj7ATdchieGhRVPEcxDcJCUT55gW+Il2iciFi8xRuxsVJmnq/EKsnrHUGjoRGqmpkIlB3MCNTciVZdm8Zgm+dco19gZC2UYl3n77i7aay47PQux5FgnzYcSRL1p5XBeeaejlNduxTebA1HUWoo5IgMSszEUhHcemLWJBVLtSgX0SmCzPBZgNKYg2BVbSNcPBwHkwHs2jeojlLc8G0gSQlGSTTyK9qbRy+BJ0CFqT6fyDyg00valWek5aOHOZFs4snHkNOPOy0yqDKZzlUxiSWcozAI72I885nt9JMRH042Wd5AOzg9JFisbNVQvMSUTKCNKUJfaE5zgVMCuLq/teXp3BOA1FAGoactY06xkmdbuR2PYcnxHUmYrv6x6kzkwCwRi6HSq1/wTYylSuadfZRgpw/mW3c/uWlpMDrzOJZoJsf+SCRdkAKe0QAgx4pF6vNBBc0LUUY9zgMz6L0AdbQwQyshqrc1GsIfo0BABs1TdANt5OltdMxr6lLemBiU5s28NEwsG70PplfP6W08IZv7hwZuHM68OZH7kk4Xw/74D2gQ9C1wemwqZ5Q/x084+WbwMZZjdMxGbTzGdvZs9zJLlzO0VceytiSFmLmzE9eqoLvPiMoPQ32vuJFK2i4qktBN06Q+BGABNoCHrrcLPjGAPjDAip5q3hXfX5Zn1hFrQxNIStCXLtVgUdKvXnmEkABTuDcgpzCHZOjJxN4bBFDXEoTOzrJiSY70FdqIDCPBuJtWzHLlPLvQQ7dHgSXLbxcnMg21qiOiOpudAD7QDuNJdCXI8wEK/beVNSqJMethZLYnH5zdudxRyyBH1H57VM8XRaOIOFMwtnXi3OvHhJgsJcl8JVDUGXsnvQ8Do9ABVCuusHgqlEJNcurWy1QErFAhNML3HXClMNxeom1569XLL6dLSKoFrra1AMmpu/F+qLgaLK6gcUMc1YmqBxgzQBa2xTEDS4SXPHlrMfHAN4MBSBMQ6N2MtcBdnBNoXX2tkux0UKEY+0f+2LS2dCJtV+usbftG9pbi0gL57fwSElqM6h6rcYd7uu+9WrNg8wNRVeEAaLfc81RS/DvZkButz3vqsTFiinGWIIdA3Xw9iCHFQ1pCs1C/zqLwqrZ+kJz08LZxbOLJx5nTjzfAsDTMhMCGD/kgsBUlOOZ2LUriWXQsqvB/m9Nh0IMW1Pieutmcxa5EXaFxedUn4waumHM5i3W/uWe3srQ2rrKc1cyGouu1naYBollVtZnwqwm5oICG0yCaE6Lg+lga45Dj0shtxvuRVGmgW5jpfTodKjrjtOn3ZWvZbvTkYmtKTmSVBDnVWEldC13zqSgohYF+OyG/+0sLlnuJkFiUJAVJjVGcn5giUdjvS7hNAzAOF0XNLks4EM3RpQVfgtkV295n2NERDAogA2EQ1PS/p68wOK3Ky+LAxPp4UzC2cWzrxenHmRhSE4vfyujJyDkbkPmdtu5JpLPjd11EGjaOj++KQFXrTrQPu3fCorciHIobqGBl/7WNfTaCov6/p0iq1PKFpy1HXZXgg0SEwVAAIwCCIDxOkBzSLAsPVHzj4WsmEmbQHkUm0V4HAuag3EKsjNHL40nKvOMvyM+95aeY4KqaRWbFcY5eIEPBfICqgQC+IpASwUqzsjSfFWBs5isdtji5NWrcJswEKEaZXaPaMJhb/8FeYzAeipedYn3x6m7OOLimr6la5gISJW10rPSwtnFs4snHmNOPN8hcFoutfMaZ9nuhEPHRcpM3NdlHGQP4u/FNLnpICOqvGWCiqQHLfPkWsGtEPEcq3Y/3NVuMa4rXU3nSFU/mfW41oJdXvUgHRrP7MFObHDXM7DYr7PglwFN5pnAJKzAir3KILogBCzCWV00nVEgjoe9ab7tHtHb+m1PPOLFGDmaEreraZJSmAvzfavOfvTE+4YwBkarlUFWjCG7YNmPWWPmW3tsUVhAZ3xLqmAUwmVJk01XZsJ1wLFiGjEPBIGSZ/Nq6W4pTI8Iy2cmRuxcGbhzCvCmRdZGPbbelI3q8FMjlKzpy+DTDwpfoUgVS++AA+3T7LoFhpoVLfrjtMSgTE6GEwaF6whzTkuxJcmUje3Ba9mIphprmi9zoQ+sYBEu6YIY0SFgjk9oIhbB3TpJqDGdKbJUhtZpgv0GBon3mczIjMQOqb4ATJmRiTrn0Z3U22/u5ZvW5nI4sy7ADcTYGodIeEhdonpubfdxsCkKBjfZN21ZOUr09L9Htxb2fZES3FE8vCsQub1jfwD6Z5oN9uSAGhp2q4Ajv0aeYkcOLGRwom2TYPO6NG0zRsLn7WGF7zzxyQvlsdNqvuBemNp4czCmYUzlY1eD848X2Hope1RT23SZYWVST1gRWV9Oc59+LyWoMSHFEL7F3MUQWO0raEbo2JIUpEayDx/RRjDVpiaMBoRhgxz/GlRu5E2B8P6etFaQtqxKPPV377GVR+pf06TAA94s1t4wWr89TP6mcC924EwXaOjbR3nrePxseHx8REyxq6JM+T6mmA4EBFArWvc99bj1Dg/EIa6xn534e6m7bfetZxOdqhMNaKmqZOMuUOgRQ9lUc08n/HWRvASH2uQCgmobG1KgWa7Lwz9G4IzA8wERgcIOLOb7QpIOO3rGi4JKh57i0CVL0zo+IwhaoB8lIHTtkGYIHEYDpT3qEGYYZ5aoOtvmqdfcL/LaeHMwpmFM68WZ17ow4CJ4+jwhv/aG/Oep8FMuU3Fpuminw3uBrh9LaEi7kch2q1MSxO1ditIuZboRRWZnD1u52vkFyibIADS7ij5lK05HVEmzFb2CBGZwFBo7NIHeKgQt9Ygnc1UR+hdD3+JPlt5EU/fTJitW3x4Qp4a1xp6T0F14XVhrmuKfjQtyJyVaD8ic/0A4EFKnCwxO5ryaxo+DIUcHgSFXaDFPJLZj5cl+wPgIVW9WNeuneqJalnptJ/Zx2yGmRjTaKzNiwURfIaEbN80xVG1mt1nwTPQH5PtjaoOC2cWziyceXU486LjracqKD+mfD/KhHodEsI5Zqr7SPdW4odDC5xhZyYIU9FBvSq0Ao2x3uDOP1mGlk+1UK+5CvGuVbFmKVWnlyhYDkZyAq+mX7o1RlpD7wwRO652+NGzGj3tNAZk8ARAPlYtEMmAsLknMsypqAMWq901ft/v3BrpPQAoMwbVYsmwSQp7FEcq8fVPjjGq67tsMlEP/qvCrrOF9FB2kyGQTkcs5ngEsX3RWYduWzoYm0Mpus7DdTx9vTYwmgRgAremAqyLrwo0IiD2Ggm5XS8Rf7/f/sdI0ueeFs4gyl84g4UzrwxnXm5hAIAdI3uVTwlx1arr1VSN58umptlP18brb187NGbwZ505IMW05/9SKt+mQdekzzizcBAycaEOYGlukRaRsvZYTEEOBNOMIGYLdU0zzaDZX7ItM4gjXP1gGRGBdIEIW9jVJIbnvyyndDzkWvM1mwWgpRlRZxoUoKaUavOwkQluqNnp7StGFxdtPwxG4p7mG4XYZfhNaO26ALomaGuMkkI/TGBcqIVrG5Iu0W6qfIM5XWPlWHSWUqYBltjWJgPUQWQm3pe/3OrWszebFs7MzV04s3DmJ8aZ51sYaqE7UxmAmTniWv57lGdPu5p9r11rtTpkVSuujj852EWrKiZBija4tkszJ8C8UC13gIHXAzZBLX0y4RMR05BdmJ15k/lNvbO21loM6OLebuip9pUiwAyRbrCRDtVGvXfkmqMejep0byasbiYUciAJCU2axwyhjpegMi1Ke+vsSiCxn1iDl9gcQGYhjmAo9bvXQ9lxj7am1GqlFeaxLOmQFH9Wt4jvhfbWXxOsVq4WNKwDEH2XKWelGwNoJsgJtrC2H0jJgSy95bRwZuHMwpnXizMvtjD4mtxs4DpoyI9pHF18QYqnf7tk9BRQk0sxIfJMJrCh81YTl+T6pJsYXRt1Rxpq3ucqlNY6SeFIE6VLv69XZl9yKFOTrX2btluVfsrut5uSqGiWzYR2Mu9BzYGw7y7MoGpWLePqs4lokV2L71UoUHKVe1ZOhH6VgpdCUT4sL3tZnse0eoQApOxIgIOaAs9C0+lwHkDFvxfocQoHPZ9MF2ha5Je8XUWoy0AxS/wR8TRLg9NMspyZL1YCFs4snFk48xpx5sdZGJAa98TXLxXe0PK9xOvk/SThLdO8D7g+lQLmXqiHzqNFm3W3Fx6aH808pyXpoaZHB4kGjyNCUVMOkma9NAEd8MzhteiJ7Vt2rb6Ohe5dVgchgpn/XLDhoJNlcdViJbd2ufkyQS0bpdt5MiBKUtwFU8yTOH87aCQgECKimkuwUUnXERtia5Pddocj/z5A5Qx6284kFqI18ngbK/h4PcDRFrygfGjlez6aXzSIcmS+7EDGDA5+MYAXBV4t8Xik3+KyxMKZhTMLZ/ze68OZF55WmW09LH5v2ruacf+YaT+hPdmAh1Z69FD8M3NZbS+SeLRr22WRcvEtNDWlvW60JbIDQzJ/rAl6LPhyf78WWWcICijXW3SUnBbNnIhizQ85E6hrnSyAmKOSa/2NGtBoR2Mq/aCiMV+qvz57yiFI8HPB9zF0oanj4+LMSCHVPzMLlhCsUvPJbBZUgc0z6N2hyWcG3nYOoQ3JecaLwQW25LwQ6tK33QwgZlDWZo/85/eMlMc1056P305aOIOFM5Z/4cw+30+PMy9TGEpbBUgHTLlCmE9pLVLKhgUHMRnwIQ9tef+QM4yt4enpYYxOutVFl/Vs3y64zC5MKOFrb0lcZWCr2QRS+yoX4AJQruGZ6Q3MBhqmlbcGuqK9xSWGq/CHqQomWzub44QxZKyK0SycYm3UrMpUJASOQ25KHdHvGdD2zBcjQGp2VNOdmcGceUlyRkEurE1PwROBha4ppTmIuMYPC3hjjmEi6qEssLEmsJXhgn02WfI8oFyvjPKDB1oRUYo82cf926oOTn2SQrjFZkJke59FGIOt3ibpGNUKTacIRRLPv0XLgqeFMwtnphFYOPOqcOZlp1WG5GXdR7oQ4HqtSvhRo8JsNBHLzFIOEChMGBXnFT1+ltGgoTtblEOYib9rG7nWnPVOJiNBtN1131gbIl+fBKYQam5Wig5QXAsgIpryGQsHPeosYdb+LjFR7J8U1DI+Lj2ZM+ihmnkW5mAUFZTKqhCL0wTz2qOPo1hIVC752ZhbdvSsfcjIaf5nmrrGvQHgzkT6rAZP0fEfoIy+hnRE8kAsgIFWUIFwbBp0WjjP7nnn8DUVJUo8m7lFoFHgiEFj2Dg39CrINiMNWKDkgyeq/J1PC2cWziyc2T2D14EzLzqtsnbrU3qJDxyoalQH+cQJ5wxc60ohyppV0yT4nlrzOCYByqEkyfj2LCm0uNavZjPb2sOAkGjULq9L/HvW7TJaECbiaBBRTl1YW0imnebMQKIdlU7VI7quWVa5n2lryWjV7GjUOvgOfLFu5QBRKWlMU02Oh/VY31VoGZUqEL8CiLAFNBH7Xvs4Q3GW3wKUVOAtAIqdB+tx2+MIWV9bJBNiybXEeBYUx9Lq4CTuVk2fJopg4lPyBlKl2HQ3rhtnIWZX0OfiwBioRh+zGxTQJtqRXcrM9+2lhTMLZxbOTHfj+mvAmR8Xh+El6YgT7XoqWK4FYzfKky5rj7kujiAci63rFSFITbfInXGRzxCoUZhrSNxxyE1MmnkCEamC53k8/reEl+o8o6C4noeIVM2b4GuSdW1vJp3VCb0gfhM+w8rd3BT1Jr0OaY8iyOWvNCxGJky5Lm3TMCldWDi8lUPwoSay2o4qtO6MlNp9CqIKsK0hMjCEwWLnz1OuH/pMwEO4Sgx90fApu5QAdEmWFO6rGXa5s9B03qqzAfdgTo9tOZLSnfaf8vBW1YYfkRbOLJwp7Vg489vBmd++wgDE4ANIdRZw2Ziz2j9Vub4oLkQZIcitSRQP12RBRqTQATUqluTzze5w1cY+2Q1nVkJrHIK5XxMSaUU4/bm90CQwHAmxm91Kd4KBdK3QtXfsZklXtMcgvQmnP99It35VRZdcb4UJn0zPejY2f+UwEcLWG+1gljT0ulFPWxd4Ga0lwGZLfha9b2vyfc7udDTsEZ0BUAiRppZlEgWCi9FtNvHW+q3TPlOobY2vc9/Jx37qV6U82fPlpSPQ8+wjy6XJcE/nlZ6RFs4snMHCmd8mzvwoheGaPhLrZAcNSDrIxbVkruNJwtVG+PrdLvne4F0tyrBCQep0JqE4547ITT5XOuA/TdtTc5DPOKpGf6lZu0DGQSz2TPNDxy6AQEpZ0WmE8AfNtB+Eic+eFGT96gghAJu5yx8yjbaIwAS8fs48h4BbfHVAHW+YLea6PR9kcnb1f5uOYwiyXXfGtk/V8CXrJL+uMK0tMPOvl+F983t2XSprZJaiaU9EOibedFV2L6Wcyfl9EQ1Xi0ZobGvivc9jVIQZeLuOj54WziycWTizo+NPjDM/6iwJLz/ILsd5ZWKDuVF7IY6fghJh7FprTBDdTVi4ti4/6iD5oHrB5bqv9nU/1MRCn6Y2dgBMwWjlfhVCMh3QDlCRIrhEPGn/HrENNuDp2GIM4vLmghfhT72rmm9aLdsj0VWwTI1f3GR5TPSJCgx3NDIm9V3QQ73II5iKe2eXNk3843TxtgshIEo8ipoJA9zhyGYCPoy0N5C2rMCj4AX0+Cxr36Ojvs50rkw1vawkZzGOI8H11j8F/AGQel9TzEArIJcmzR16M2nhzL6dC2eCDgtnfnKcebHCsOOBS/EMhkkdEUfPHqTJehLFqV4npNq5MqxEzHMAdjT6RWMmQkxnw0/1kGni9ngTdAFAbIwiFwSt62dRDWHegy2k25I0hmcwVLNgKG6t8mF0MGmkjU0dtMIgmWlw11UGwvO29D01dokPxbACe6L/pMcvDhFUEk1McHN89aAXFV6YQ1fEmzctPjjcOp/GWwTIeRvY6CPlmgQn0HzPnJk8rKtEp3xQ5v6iguRkrgUK0fOD3Hzs44Qpo6QYlk+/a7MaE/QhgAxG7x1x+iywG0wK3v+UvPwupoUztZ0LZxbO2HOvBGdeoDBM1exuOqMoefcP+TBBUssmAH3aJ5vaZBJFAhsIycDk6zMkaB16pnrXP+ruHATn2hxiglFPtM08Yig8GlYHgbaO1gDmhnE+6wltwrl+ZVpt7affm0x99tUDuLEM0NAT6iCwo1sFAj3KFSxoYDRpuDATCWABWAHSgCqVzMQc32vb6vfmdIkHKZn5SMvcNYGEQhDU69wAjV3Ll9wHDEqEg/Y1OcFFybc36SgwAdINKDgFmgkYog5KZwjY1xltLFgbZ6MX4mxj4IJEeQ49Sr+jPRJro0edT7NqvW/SEFMZ3Y/vj7LRhxiQBjRp6iHfnHTWLrHIfUQgtpJNBN6a0rBwZuHMwpnXizPP92Eg0kAh5RLvslzygq+PzGthVmBob/oL8LCXIfgR8MT0Kz0azARZQi57I2xbx2nb0JtFF3P1CZ8mRtwv/dPT1ARMDa2pi7OYL83sVHOZvAdc7G4E6LYkCIQYxARuCg66t5sAamAQekM4uUQbiaD6rRmXxk6Q4YJ10B7X/DEpuwiz1WEfLO/Eu75dB4Zc+sfChrtp6pzLmQXAVm9L68uoiwk2UcZsj374fdP0fZsX6QyASj5E29uOAY65wUEFu2Az+Yjx8dEtWD0GBg62nkPbbSDXUD4TuARIl2x7Y6VJ8w2lhTMLZxbOvFqcecFZEjutvy5C1THZDVpVpEJopehnu9aGbkYUpjc15ykhwBnxS6Cxy7fTCbc3N7g5nUAubWEukvivKn65YCdTs0V0SNjWf1pvEBskBmzvM0ygrY7qDVsIEhMhm2yMAlthemUGtQZmUg9sc7Dy8+TTQkfQiHEUS6O1O0Hoo5EvwiosqZQXzRy7r0fJuzNf5LgoKELgzFha6X0Xb71puwqgBnK+ParQGS4EQfOE+mcnF2ogaXRFUi4v+ytofhUdJTctR78dRBlgstlZa2jiMw1Jupaiaff7raSFMwtnFs68Xpz5EYdPZadCfyMX0IO6p74fD0AdahVx1sGD75g1bVEEEIaYl+x2Ipy2E25vbnF3d4Otd4DP4PPZSjxYh8sOgSAHGrZ+NgBsBFehbmik359L4DDT2ZafJIUPsgqlrxeyNDTpClZOU0KsfTooubz7YE+fR/Uj2bCsrF3w8F5jn9cqFVHqI+TXpzJa+X4NGVKzBXQNlq1SQWrCIbzGC96ybBsB0oDJDFnp4GACROAWbVhtcPYP8+VjYX5eCs9zb7ODECPOsefGuuzcWmBqfVnOfXkbaeHMwpmFM68XZ162rXIiAA4kss+93+8ljQf9IkW5vnZYFvCmClw79yutNdycTri7u8X93R1ubk5oBIxHNm1S/Wmd9RIs9gPm4IHQ0IPpLTJaawSYtyyReiNz47I3Fk9QPNchHf4wjC0bhYCSmWJFAGk5M2iWpxHBJdiZfi/Il1XLJLBUaBrZJe/MW8RSiOLaXpCp0tW9sW12s1+Ha4B7EVGhVwm+F61L4cVklD3au74bzbi2F4j5Sn1epvbAXxg4EubnpbK6WupXxmIUQR4jV9Obc6ESSHHz+S+N36m0cGbhzES7hTNH6afAmReEhq5aY3DGQSZtheQI6zW+1GSolmUdVaKK/RR4iDTzgwE1Qm8b7u5u8HB/h4f7W9zenHDqDTI8nOh+6KqvrPaDIofEDYKuVTlvkQkuqKF15UU31ZExZawLUTJaHfw0nSH6FAPL1jLK7S/1tDcigNlmHY1A3AJ4SrNnQZZ5jLz+tOzOwDIP5CzIOaz+myYBdYBJutlxK1SFxgXciVwk+erM4CgR0qwIUNHk6+dUopdPmdffFaXUPbThU4F1npuOYEcE4MEYpHHfk/LumAbAtr/9LTThs0sLZxbOLJx5Wfq7xJkfd/hUSUVxS2Z1DXEaqNx0onuQlTmSxGxjHPpffCfo2hKx4NQ77m5PePdwjy8e7nB7e8Jmp7V9lEeIDIhoua2WQYiJiDJC1q2/k1Ek2kvo1CBmItxIzXk0AGIzlEqGMp18r58chUsTWG7XolhX9D3Uqv23EJpK7vgMgXV2zpEJcBP7u0Dgp5LNyMiBMdsGggJ2s3sCxPTFaHoxW8QRg2OSLo+Ts8/nPOX3nM+qkF6mXf0yN+maOfBvJMz1MZpKhY49g5lwxhl+al6soxOhMasF1AHvjaWFMwtnFs48I/0EOPOjQ0MfdVGsXtVe5pGgXU6KT2Xl5r9JABZQU4YQc3Yh89w99Y7721s83N/h/u4Wp62DRM0uxAMQ30WL8ld13HkWcNn+1KxDWW1Nn2MgttUQ6RYonnfI7onjGlwwhTMh0hHFbwSDVmGtgtwOBFmK2EY9u95NY7K/f0AJN5/WjeSVHi6Qvtm8hno9Skc3y7UQXHFzccln39klAgBs25cCRTvkRQdFmaR2zqJDIpE3aVP4xS9fSc+FxbISr/2x7WkMgIbuxddzBpo5vQHt+oF3byYtnFk4s3Dm9eDMj1MYJoU+9a799qfpESOIOgDB6GYhMYTQWwPjjAYBY2BrHTwYDMb5/IjT1nF7usHDwy2++uId3j3c4/a0oWHg/DhwfvygwiyM5vWQ+h27I1MINgHNtlJRqvrRUB9XkhxcsfIIADc14TVu6pEqDGEGSMOKmh8uqnCy1e8zhXC4ceGyZ8XoQzAAIWDY1qZmzOxrgL7BJzV/int+qXr7XspTMVXtblJDHo5j2rKaAgVSBDeBhmy/d5/qd3q7uTBFJfdZa+xzoxOSXsxiMd0Fgl4a5y0n64MCXfSDSs9sphAP7qS5zhqokbXHWhg0eeHyAB1+nQVeBDwGzqyx8cENow31wFcGhUgrm7jeYFo4s3Bm4cz19BPgzI863vpY1cIk1PpXt8LYapDxbYMFMRGByCPOjwONugqZsG4rOp9BYGwNuDltePdwi4fbG2y9gYQxHn/Q08XOZ4AHmp1k5gKnJOAy5D7s8kQnvAc+mC7os6HUHZIa2jzJYYb46XT2PIugxUElYkunEvTS4tlkptTCbJqrXfO1NWMwnyFEZDpqOcOgWdNUIE3GVKFXV5w9q1B5JkHA1lRjyxWVa2T7yVN4pu/W1rmeI/rvr3nfW7T5Ws79vuzLclI4qwkwNPILFf+AVi8R5l07LyHErgWQaQQZZrZTB/XpH1HlZ50WziycWThzpfgn0t8VzjxfYdiVmDRL4pHM96Q0xDVcPyc+AoAI64laIuikhhKWM/hxaHjLrWE7bXh/f4sv37/D3UkdjzAeceYzhM/QcF1D9xrLyGAr5PWJRriamzv1JZ1S6o19PmXGZpHjGtmJZ4KJcUPvFz1hjkKn9ULF/zfCVoFGlokdc+7a09Cmi2paItN2vUxH0mQlF8DcM+UmSJ9y0FSXX2rU0GgWZI8cBr/fyoqty3OhjbeCdtq0x5dXYM9ZSx0TvU3RHadcKvY0id/UgXLBhTlnoynMVJ4W51WaZzs/Zs1RYsxzTL0UZg3pK00whh1dDDssiN7WusTCmYUzC2es7FeIMy9ekpD65YJqpkEF8/hXCS2Hqg5oQtcIGrhEzpDB4PEIyMDWGm62hncP93j/7gHv7m714BYeED6Dz4+ArSfqGqQYKKQQU2j+LoR6L0WAimJdNNbolzGkRfJSviddBxJR7V9S49awqLrRilnPpiPrdUiq1/UshkhCi8yyzFa27yDPOOzJiAUivJNGLwFRC/OjIIFqXsEs7UURYFvvVAEnwMyaIESeIskzXwDqSERwe6QyuZtPq3hKhnTNS9668lmEI98x6aeu3/f9KbQpALHvex7ac/BCw/PTNT3e1xlF7Ajd3iPELbWXg8bvQlo4g4UzC2eSnHh++m3izAt3SSRv1+LJ/whw9Z+mTMV0J3mcSAutX4Nwnj98UMEjoHfS7UwPd3i4v8O7+zv0BkAGwAMyzuZ8xOq8JBxtBMTWF9X81jT6aiqg8a9ku/cptMAigGQsLhLbe+Jsdwl91xhcIk68emZrfS4wbtqSJJnrn179s1OMyZ43s1laNu1Ay1pEiVBwhLuc2VVt39fzbLtT0xj1WmbLskKIp2JwhZ+zzTCh9hlACXojtXN0UFSt+3hgp9qOBDq37TvYCqqZ9dmezTI7m+VluQByFvXOH3bcDkGwbS8Dit+VtHBm4czCmdeJMy8KDe06+4U2Kc6glreIiv9DAnQzB/FQAVTnD11DPJ/P4PERp95we3uL+5sTvvryPW7vbnA6nXDaCHweEB7AUM2/Wbz3qlORabVeNVEKsTKe4IiTCObpuhv84Au4/7QWSkKqeRNpnWF30grVOYbtDHrdMiVDENu6XMumwqhsx+futcu0UaXg7cbGbkMZzcclemBYJKkBl3VgB6Xgf/sPxKWOIsREcZyuX8Ok7XujyvcKHM4nB7JQvbyn6/B22z+HHD7p/fDex7MXKfPmsEtBxDoTECPfc4X46MeV56pA8wCg4X0BoPpgvYW0cGbhzMKZ14szL7IwuDDbYpo2TCr56IIR/Xoj6BqgrSPKYJzP6qvaZKCR4O5Og6O8f3jA3f0Nvnz/XqOfkQp/AMB0Lr0JhxFcLYYmrFTahGyYa60EXBx0k/Y4Y9g62M7gpvk3eCS2hsZsJjuYKY0h0uFhZt0zWUPQi4fignvKAqpFsxNtz8jWJ91dJNkWpAD7n6+D1W1TF4xPmM1iMYgthI/sxL00D9o2oyrELYWYQGWPjqNC3XJUO1Y7OHdWjL4s9Rntl1x0pD53gcPZFABTuDfsAZDKNcnyQBOdXi7E+8s6dlM5Ub5H1+M89OdHrGN+7mnhzMKZhTOvE2deoDDYxgvJdUJBPfctzS6+hShoStBY6SaEXRiDH3F+PKMR43Q6qQC/e8Dt6YQvHu5xutlwf3uLwY/gwTgPdTaCsHVXBVhkwHVy19BIhprqpDlPQneewo5OvdZDla+diw9ga4U52GQKoqSpsLU4+tVNhKrV+1FhGpteWpan26UkWLU1W7NkTuecmibQRJnv2G9zYgmL4DQjy6eSbfJ3zijKfdPeiTRErgqyPWkmQicLFfpk4ZJMav0hazeB0ACM8A7naF7wj8CObs12HSrUNF+TfVfF69zTrz5vL6jJJHhNjozG4qL5VJLLX4SY9firxezNSGEWPa/4zaWFMwtnFs74A68NZ56tMDQ0FUTkgDR0U+5MkC2vbvEZaVaCBh45ieB8/ojz4yOEB5oIegNuTx3vH+7w5fsHPNzd4u7mRo+PZTs0g9XJiG0tUT1BGYQBPQRcIOZ01EjQmhmHZIAkTndHEwAkGY4jmDDbPu/uNSLPYq2w4aPc7BkRMDlYAUTD1seamknRMDDAzCb8DUI2I2CNRw/qpvWSnfdu/rtibEgUzHXk2EKVXfdbm1xsRYojkW9TUs9j7ykJYq2Qms5IWqtey0Ccx+4mQisv5I5mz+sQZsjU/gYXXP/D/FkgohFs/7xtrdqRQC9JvHBApLMFRdqJUvNnvb5HB9llbfBd3mmS9ZmCA5++ZDLN9xVc6WAM9T4bAHM++mbSwhmnw8KZhTOvD2eeb2EgO70MRSOMdkrOBEyJObk3KxjCyn1EwKl3bAAabWiNcLdteP/+Ae/ub/HFu3e4PZ3QW4PwAI8zhjkfgXWvtM48VPMXyRkAnOEJ4ZiUTEBTuNYnu1m+p2ZoOrHUQU6HErE82sf8TNOVa/EUzE12k0w1dyfVGEDbEqxRuSRVRTjjHzGClWCzG2e09CYuZj8zBZJFdVPzX1k7tOcpxttKD/CrFCv92suX9d9lJDXeWQcnE9woN5zaLGdxEnpOqiJpqIDk2Vr3/gmf/whwSN/L0o9qO2zqk+2vs5qAire3IrFwZuEMFs4clf4acOb5CoPoP7PONHtnhoaGFuY5YYEM3ccsPNAI6KcTbm823N6c8O7uBu8e7nF/e4Pb04ZOBOYB5jN46DMemEUdj1J4KdrlbZFklOQdE4QJeqIXyTjBkvZ89jXEN0yhO/3QqU0wrd7X93KdT+WbIGVrlG5PEjBD112jHq0gTJIwoPQz3EP7fIrRsjcumG7upZZORFQ0+hDkpho/gWKpMGZJhY5VePe1X1w8SHIxQzFSioAYZXznfobXN9K86+ITEcvKWIWQ7Af0ieQzrAyoowwSHF9Q5bnBVp6myKX4x8zvLaWFMwtnFs68Wpx5/i4JqDnOv4cBjrKfYDGDjJnvhCHhQKQmsb513N/d4t39XcRpv906bk4dMs44D/VQHo+PFmhiQFjXJH1/tZbvjM8QsAVRcUGeNfSAHZnNV0e9jG+Rr2i9IuWKlVm04KbhYKAngnFsdQJ8FmCSwIzWus5cWIN5S9RR6QeIMRKBwCSoTiyXwHTUpSLUYbpFCizV6+UTKELsoEAx5lSLr+QrwHoAeRdsKdZpKfR9KjVQrP8OEnhYmUAZp4uiybEWHhfm2cd8L9cPXai1v9qno6ZO+XBtZvbUuB0J89tKC2cWziyceb0483yFQaRoQYB6DDdjMv2taiqHh66e6DbQQOi9ofcT7u9u8cW7B7x7uMP97S223rCRCrlYRDUZLqi2/1kYwsME1bV/djUxtjxRqPv+6U5ETxMrTGOXvcZ1sqcGKIUxmq1+CVLbBmT6LtRsTdFmSJwn0Kkcaz62PomtyVGYz2DOSlcYJTTyNPvtMpQfLhYI5q80mgS9AWjuOQ2YnRPB9JVs0ZsChMYsT8mrlLwave5a2ylHhvK6m2ZTPLMfc/skSrlM6V3s25vIaRO4VGYq++ZNwuytOOauyfqM8rJwUXtjaxILZ/Zp4czCmdeDMy9YklDhmfa0SjJXaHDCZho0jZ8IbevYto53t7d4uL9VL+UbPS62gTHOAzweNUAKVBvWw13M41eGxodHriu6EM+fpeNSdU/TnoNRk3afsmhVBj1emRK4JLuDCfkcwAK5+P7n1rStIiqgDDUTEmlc79ouFkazQ2niQBmCnbhma6zk43K97VUQp97vZjZTfyjBYJ/dZwfeX9rRs/L6ETTWavzD45znpEGm+3NLy8NoBUwq+HhLzXUo2iSVAKB47rKt4VhV+q5r10mvqzOVSZgvyz5KuQ6NSsC3pi8snMHCGafBwpnXhzMvUBgydrondw4CqwATAOZHYAwAgkaEm9OG+/s7PNzf4ouHB9zd3ODm5qS6Jp/BFk2Nx6MGSLG63BxILsRNZwfQoJYw3dB67cKM+KyDJKhUukxuwasEnD1vTYCr5m0qbDUdpRlNmYpMxl3/U+bwithMcWZcrWuLDRYG1vpjR6xRA4RtfRJ2+hjKQTDI2QARTV7KrsHquABEMgt50e7TGaner8DgYmB9IW/cpxnWk3etcioB84viICmgt9Do2QQ124f8MZW1L/hAgCl/uWBNgnTII89bV5zSRcFXks363lRaOLNwZuHMq8WZF1oYnJG9u7qNCTwgwuo8BD32tbWG29OGh4c7fPnll/ji3QMe7m5w6huICOP8EYNNm2/mJsNkZj+o6VDSHAgALbT+osmVj3LjqAP4pAZGe4OOMutRkQRk1DU439C0tqnjPHvd7t1oqkBFHsvixbdmQCJahx+NyibM+WjVflWIWxHE6NPFmiIyD9En6FTpaIBlWvLlSl4Ky485SOWTiRiEXpoUyKlCMM0ICq8YwZKHDJqvss9Ogg/u+xiIPMWD8Eyf6tk8C3pLaeHM7s7CmYUzef+nxpnnKww8LJxkDg6JgIce+ar6GHDaOu5Nu7+7v8X79w/44v173N/dWRS2YSfEnRUceKimL2IR2tS5CKRbp9CMgcWYJoiaw1SVfm/bTJKZwVQrblp+UfkJFaQw5Ue5596yZN/JJK5B+ahZ5DU1c2peMZOfS6eW2dA7gUjQewf7meXkfTJWsy6wxWbx8ppQ1KOMq7u7m2nndbZDhNjj7H3yQ11ixmLfdcYABQKLLtOarydOhJ5JTcnQ9brHawcQJlHTmUtbarm51kvilM4i85PKBUM9tc0GeEqA5hHAVCGfx/2qFdDqkpJJh/QJYU8p39+IW80BWqetR/OSt5EWziycCdIunHltOPP84635DH58BCDQ89DZQqgKTr3jdOq4vTnhtKnD0bt393h4uMf9/R1OW1eGcEYVNwNmcJRYuzRPZCmMrB2qzHOpXV3T0JMc+4HSdaK8+oyZwZWSr9Wb5jljVutTyheFZq+BTpqeU04uvM7AYmFaQ683cCMFC6apL605+MyCPK0FUo3NnvdSiJPJ6IIsLtR1ndHvuePN7L07CcCOgJ/SbZMKsGEyByrdDG9j75q9pGBH2s9Wyn3xadZTHHBdQAmI2deh8JcXxVMmwmuezr+F+dKrTgtnrpe8cGbhzE+NM89XGB4fcT5/BI8BYQucAsLp1HB/u+Hh/h7v3z/gdLrB+4d7PDyoABMRBg+cP3wEn88QGboWyRpqFSIgC8MqcOVNTN0HwAf7lN0LOHRCX2dMpromkj6LCNNcDLzXcexpepH2g2ID5sZFmcbO7pFzi0fhckXaZgbMcc67oHgni65JUulnzAaEIBaLPZviwji3l1BMkkXTn2cD/umzh6SMpuI0dSDEsyY9w1wdo+emCtBhQk3Zi3ndxPIu8RcIJFd+SoDmdcvcfKOCx95xK7tdvZ6t9wXcn5Ve/m75rNPCmV1aOLNw5hXhzAssDGYgG4wxBtqp4+5Wj4P94v07vHu4x7t397i9OeHu5hbb1iE88PjhBzyeHzFYY7STcp/3FHqevAm0mQp9dCobhClmkh+/Zmt64Sz0lD7u5YmNn5o8nRnmQdlLw/NTrLeppCIDq9j2mdoWfUDhSaB7rF3gBbZHWox57Xm7pE5dXhql/GAW0lT4q/afeaIEk14XYgeE1PSTNvP30iOa6X+h8JbbL2BpwAHSaCjE0IC5FUCsirqmW8Ga5rzaLjXXZuOup+AtAi7XjfffE2qcz4Drwnyk/f9W1mRfcVo487K0cGbhzN8lzrxIYegA+qmj3d3g/vYG7x/e4f27B3zx/h3uLIKae8aezx8wzo8Y57PGNeeBzeOCawuVHixhPqRotG5ruuwEwf1Xw1xITlQBcT7/1IC45q/j6xpZue/aP83PAJdaHk1caqWR66uzMGs5uqZXa4u93oZh5N4AAA8DSURBVCYAGV9NNUcN2wrb6uSMYFHp4DTd0apo5dNMppr3nN3oSEt2IXchxjQbiLPirC+VLnsdOUDb/nHrHMTpd1H1k0m5QNOItVgqdCADPwrBpTJLjDzJjDlTu6jpqAHaCfJ6vRRKfqByZG9U61+D/96WMvCctHBm4czCGb/8+nDm2QoDjzO2reHu4R5fPLzHw8MdHu7u8XB/j4e7W9ycOgAGP55x/vgBPB513UtKwBOYujr9scVkd9OYlBjtcwp2CAJWjkABiWpWu57CwclCbl6YfH5EOp51uPDQpRZchCkclsDWB0BNTAJfQ3Om03VFaF0CZFCUUoGb/gpDXmroO0EPrd9nBHIhxL52OK0/ll5TuZDmNIFcE4wrybG6kQLZcJmFa/ze/xl0ky80Gp7UAnGU71q6hKSgb9BRyn0KkJpWrWXOt9L1tHDmeWnhzMKZnwJnnq0wvH94F97IX77/Ard3N7iz42K3RoAweGikNA+oIlJDvAISoVtT2w3aRmdtwMW1MQqBm4luxBQNiaqaumt1tby9gLoGvtvbTHn36aG9zHGoxRXtX+uLGxdKtp8Hn4FWPH+Ge/VguDBwFNm3sjKOg4MJXNyjS7Da/WwqtXG4zz7Rfgz82iVCFWCV3ROfTiTX6DzPHDKLZOEX9/aNKnkdCLBjgmzI/KxMHTsA/0KTK/1e1oXraeGM3184k2nhzGvBmWcrDH/4B39f1w4tLnsnwqk3nLYOHmc8nj+Azx8BETRiULPtOSIa/qI30HDtPr2YxWcDoanbDAHARPDDjruDTxHgkqq574gp0/HI16rCeIbqKwyUiQbK5cK8k6cyZs/drJ+mbhCpRpzdNCHnZutmzWHNhJOhEU8E7GZRqRVcCrevJWa2CxTZPVG0fC8xNFkBlRPqKECCjshf2L0kQYwyh1DZPE38Oae+ZNvF5g3uNAQ2sNR95gFspHlipuGmRJtNTe0LuqvUV5n1WmofMu9Bv/wKlTYGoPjWvB3YFf6R3e+3mhbOlCoWziyc2ffLr/xEOPNsheGP/uD30XpDbx2nppohZODx40dgDHMoGhYtTPdR9+iYaFQ2kTAL6mEuAtNz4UfIenaE5p4EVmK44KB0+uDT1xwtc7CcK3dSmIRM+yY1K4XQTUyeoJCpaIul7Bb2ogMGnzRVsTPJJaPbkW5XYigSspUTkxyjiYZ/nYXXo7hRo4uZgWryB5r/rn1ki4kNBPie6Gh4ntzX7Kx4bUFh+9am8ny/t5jQDKcLGqgJBguYVDDdNOmlNXJ49ys6ZpPvujBGxXGy8pvRxtY+3VxXoVrZ0/dOXwKaNpzyNz1lfqbd12zz/qQ8bydhR36RfTPeXFo4s3Bm4czrxZkXLEncxpqTqkGCwY9hGlStUPc4q5AYU4lrtqnhH/+V5JJrWlPgQfY4s5bHQod6RpjLw5mAmQ8ZOQyXtUylHP8qYLF/NIFEyyczb9YWK4uKBWfxawVg5HhLVq9OTjtzlItc2z13MUOZ/p3FFEXrf1GKKvYPVphoAEYMtK8n1tmFzzqyxcpjDbruiPhlt3rlGgc+/7WnoL0gLtqYzx2I49PpKOMntfu3rTEsnDks5fjXwpk5LZzJ9FvCmWcrDKfecR4DwICwRl5j1uhr1wTzSIjj+868R88mzxP5KgD8yKRauHq/OuPsmSCqu7ZOZ10j2psM0/REZDMLd5wyZ6TquOKaOtuaY7Xf1bXKWr+3SQTa/ot7O/A5XkBMDRoXj5RnjfEvzI1FU3caFM072+4mQc3fHEQpy2mks5gw4xZHMwmzIcrnbJbzX0G32iEfXh/fq3xjJUs+UzniqbmAmyOv5qmAu5YkFs4snDno/8KZWv8FffB3hzPP31YpA+PxB2sS29qWHf8KATweu7iXctmu5Mwp83XZDcFBreX7ETfJle9/s1SFGXLpPASkAFzup8YkmEcaeuZuoeHD1g6nZ4hA1NCYzWxpLOFtksteT1uZdk27bO+1dl3X8Kvw7oXYZyZBClszVPNjcrRjowqxipqfPx+rhTXQPQgkzSxuWY4Y7errIH/MoLiXU6eSO5fF9rQQ9dJ5f7CemPjCNM/4Egz0noNvgvWnR+l3My2cmdPCmYUzL0m/bZx5tsJw/vg9XGgbAGruWKTrgu5k5FSWoLYLs2u2rkXZWmKsv1068Hw6vTy/yHVmdgEGUIT4Uus/EmL3hFaGcQPXvn2X27hciAkCRkNrXAZbNX+x+O/w3waYF7t8apskWdLLCgn6ZBJUhyRvTf47C3lUWTPY9xDm+rzPAmRXCDW0Jhbhz2cIDc5ZZkyE85evD3pl6S1u0CAAiH1FdKe5Z16y/BFs5QIdj3/K/rf3a5oxUYTqDfFdloSraeFMpoUzC2eiG/X3T4gzLzh8igtJzcQj5kxka4nhkeymwKLxu9CrMBWR/VSH5OILnseMlwVdiGQ1h3lTK7jYwE5Wuqc051TYrbhZK64OQh4UJQSeSGPgUyskMechEfTi5ONOUvstM9Mvcicusm7O7HdIwWKyelLzTGLkTKCUPmuyKczaGsslVYTUHOqBZBhAIwM2kDoWSdM8Jo1CwIhyAJCbDk2TVxw2FpQEGYHFy98hThW0SS/f02gmw3M5MVyPimnwiVreblo4Y48snFk4k2R4LTjzbIWhkYD5DMEwBVaCgAjPYzcbyoXG7wLsAr4nY3RKsgjPt1+fe3mqzzzJotbkFGZlTC/j+rMRhvVAI9bvFDfrzMHNQyLQ42CrlmrtJSss5w0yfRx2s7aFynf/cgCgEu07EMjSlr3wTlXuZkN1CxggZYsR7AWgSQ/C8VApKqidvE0tgIlcSMVP5Zu7aW5cBgkmzZRbprRzZAp+cbSK8W04GuvJsSvKe6YwPpGp3loKxMKZhTPZloUzrw9nnu/DcP6gB5YI2xYdk2F4qNViHiSocPueXpcI8AX/BI/l6O5rvnL9KM9RfsrxnPJ4gJLUxp7S6oMHSr5rYVxrmtf6CpP7v1EmENtiyB1uTN6iDDN17gDBEwtnryuIhI7tkCiHZsBKR5oH5UrfikA/NSPaP+cACXWyag7ypQ0qTlpmN4SM+ljQTegZdvyufQ9+mhzTHGQpzIXOj3B/7mlm9Im+SCmvFveSVMyFUfNaqlg4s3DmoG8LZ14Lzjx/SUIEMvTY2TBaEXQPNEr9xn1Eylg5C5DQGi8aG896HmfwwuQoJJZZ26ttBDAHP5n0qpqtanuAm8fmdaE9CSQ+KZhrkpgL4UpGBwhtx+88adByuE2LSm4TVqmMb+2SPAO+tsPvZWkHdVzvsl5veadVgXJTodcF546yjjzVrfvqxWjBAggLpAmwEZp9HwIMIXQiCLqGahXdek+NQK3pNjAmPJ7PcPjqlDU5aA2oCZGMFqSbrr012mrq0U5y+jk1pJY5XVB6mLk5J0dVGB28RQPkCE1e6HIhO3J1DN5MWjizcAYLZ14rzjxfYQDDXUEyySwwbt/bXZcDJ5yjFJ14lvLzAg3pBVrpYU0Hs4IyHhd5tcojAZ8H6qIHh+2ctUE3v1UA0K1TJQ9mRrma9vU5E+7BaDdj2Qvxfm1xYvon1GIXbBaYx7K2uQlipsYQW0tVE2EjAYtCoFibzznnhPObmxj9pSPePdgWKBEADCKdzVKNkR898BdKeZnITIsXp2VF+ERaODNfWzizcOZHpN8SzrzAwnD2L5e3QsNTYSYRI44StQWJfQuRPpcGrH3Rua/2iA9of9EGfaLPEwSr5jsyze1iUMqkwPv4qa1CVQYi/57ZJ/meo5VVrbx61/rVJjF/snIKQB50VeLZHbEOv/sluvg6UWcvwDuaNKqBXOagLlHlbsDJouXZeXTg5qZAiodsmCCsZlQCII1A1NFYwMwYkgKtJatAKyDAJ6XGqlRakLNA1/xr4BmhqDHWQBUYcnxivfEKah3PG44yvnGFYuHMwhm7uHDm9eHM830YJm3e6vSGid/XP9/KFGfOWwnzg/bb7XoXba8Cf9mxC2HGAQ0OzHbpCHS1q5ftcE36mcJ8tXwTgrnsK+11DVOSSQRQ7bcZeJZ2HTNAEBC7L5dK/8E37Gi1XycNk2GpLaGlsO5urGLsLEsz4YUATUi9nUVCYBtETYcApAFngTkmNXQBzk0wBkDMan6U1PAFmlmFmcDGsKrBm4MTaZx4IqCRhnClA5rFyX67e7U7F5x67U1kszf1ln/+S+h3PS2cWTizcOb14szzj7eOdY/aMfuQUm/9ISqE82lyZM8V1olyXBOcCXRRYTxIB5S7QrujXEXrPxTQYLad0Ozy7z1bn5uueQDrTa1TIi+MGSVDlx6B5EUHvF1ZzlPK/87CeXENtj566IRkQlIZFEfa/0X1Hs/dQclbriMpFkBGCPATiZkIAzobIgcANDDrvvHQ9I1wrpWzJL/VWsjWF5ujJRwcjU2mR2j/dea5oMkknZhdt3d0cNx+m3pCpIUzC2c0LZx5jTjzAh8GKZXMgxdyy77tKQdPTYb2/GQa2+lKV5VWCoIlMXcMutMqj6xT0+8ds2rwkOcLYG2kKt1Xni1dvNyTOym/F42Lg3AohVngkcq4hJP1XuBQYGZzn6AOwVG728WUYP5NXtZhn11crqCrPTs3U6YsIQIVKGOfOoENRM42K4jVbnOYco9m7a1GbdNALGbCthqPgF5xXayVWp/gIHNpa5RVXz5PAZfz5077z1LzRfFUOb+7aeHMZVo4M6eFMz8VzrxAYbhMk+ZZ6pTyb5uu2XErVTEiu3yom9MhUwRTxpShktXzHAzWjv9eJrp7sTsQQx91KkFYrgjxJ1M01DxekX1qrlm7AJN/lqArYUqsoDe34qhNjdrFtV3DXtSN5yQCQiLS89wFSr87TxEYIHVY8sArYjMHNKXNMLySlgFaPModGsBmigyqUkNdB659nCi4Y6gQvwK2+5752D1XJOnoTfTG08KZhTN/G2nhTHniR+IMyducxqy00korrbTSSi9In1LzVlpppZVWWmmllZbCsNJKK6200korfTothWGllVZaaaWVVvpkWgrDSiuttNJKK630ybQUhpVWWmmllVZa6ZNpKQwrrbTSSiuttNIn01IYVlpppZVWWmmlT6alMKy00korrbTSSp9MS2FYaaWVVlpppZU+mf5/qJr4MqjSUXgAAAAASUVORK5CYII=\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "12f2acc0"
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "rriqVswp4z2K"
+ },
+ "execution_count": null,
+ "outputs": [],
+ "id": "9f525d31"
+ }
+ ]
+}
diff --git a/tutorials/ms_eff_gcvit_low_level.ipynb b/tutorials/ms_eff_gcvit_low_level.ipynb
new file mode 100644
index 0000000..7a9b361
--- /dev/null
+++ b/tutorials/ms_eff_gcvit_low_level.ipynb
@@ -0,0 +1,653 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "G4"
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NqILQnqgiI2m",
+ "outputId": "c0ff9653-17c3-4be9-c59d-e78da6070713"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Cloning into 'DeepGuard'...\n",
+ "remote: Enumerating objects: 3257, done.\u001b[K\n",
+ "remote: Counting objects: 100% (729/729), done.\u001b[K\n",
+ "remote: Compressing objects: 100% (276/276), done.\u001b[K\n",
+ "remote: Total 3257 (delta 551), reused 528 (delta 446), pack-reused 2528 (from 1)\u001b[K\n",
+ "Receiving objects: 100% (3257/3257), 57.90 MiB | 138.20 MiB/s, done.\n",
+ "Resolving deltas: 100% (2025/2025), done.\n"
+ ]
+ }
+ ],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ],
+ "id": "3e0b1088"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "cd DeepGuard"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "ijppv_W-iT_H",
+ "outputId": "01c5ef5c-0c25-470e-ec12-0a213a535c1a"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/DeepGuard\n"
+ ]
+ }
+ ],
+ "id": "6aa7d75b"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q grad-cam"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "HSKrjUy8jA5I",
+ "outputId": "56336aa6-45b8-4807-c905-009477555ea7"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/7.8 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.5/7.8 MB\u001b[0m \u001b[31m15.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m5.2/7.8 MB\u001b[0m \u001b[31m79.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m76.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ " Building wheel for grad-cam (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
+ ]
+ }
+ ],
+ "id": "59bdc00a"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q ultralytics"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "0x3o8lPRj-8F",
+ "outputId": "710b5b17-0610-4047-aea9-672f945d1e7f"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/41.3 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.3/41.3 kB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.8/1.3 MB\u001b[0m \u001b[31m24.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m27.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h"
+ ]
+ }
+ ],
+ "id": "a82d6885"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt"
+ ],
+ "metadata": {
+ "id": "7NJpIIOtiWpV"
+ },
+ "execution_count": 5,
+ "outputs": [],
+ "id": "75948691"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## HiresCAM\n",
+ "---\n"
+ ],
+ "metadata": {
+ "id": "6ha_d3Ghj7CS"
+ },
+ "id": "312bb249"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but element-wise multiply the activations with the gradients; provably guaranteed faithfulness for certain models"
+ ],
+ "metadata": {
+ "id": "7DoR2bddkP_U"
+ },
+ "id": "cc01f585"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import HiResCAMExplainer"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "n1KIKp4BkE0-",
+ "outputId": "a3010446-8867-48dc-8c33-5fea442e6727"
+ },
+ "execution_count": 6,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Creating new Ultralytics Settings v0.0.6 file ✅ \n",
+ "View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n",
+ "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
+ ]
+ }
+ ],
+ "id": "dc8406d1"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "QduZG3aSinDV"
+ },
+ "id": "beb86692"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = HiResCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "ct2duBjnjL-v",
+ "outputId": "f5f2f1ce-d700-4757-8949-4707dbd5851e"
+ },
+ "execution_count": 11,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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h7DBglAEjj6geBKaeVB652MTAMDAKF9RhANERh+MBtc44Ht2sy+KCXqDMIC4QF89SxhyTrVKXIz1drFKuNNKO0s3DWWqtNf+n1G6r0gBsOAPcXpxZZzPog0u897f+Ht56+VV89N/5t1HuXuDyi3+I+d0H2H30ddz/J7+NL//7/yHG7/0EPvZX/hJe/hf/DN79pV/FvZ/5Sexfvof5c7+DV/+n/xPQr/wmvvYf/Z9RHz5stTh8gb/hzPXOvbFLov1dMtnjLrnyNt3tzN+jHszTFzxBMxWyacDRVAU1+uCMW+uEGsF35LNSGDJNAM1mxnMkKcXKDGdxFmbsdjvsdrs0g6YWZ0sf8zOya5kUAXuKaZ5dw44VhwUphWmwnxUDIV6AWOqH2tgozHgtZ/lRrYl7rPjrbBHYItIEWWbMdV4I8pIPl/2M34kYhQeDMLb5olAI1DRvHgabRzXT3uFw8OsZczX61N0Os1ZIUYT/MKIgtaMHeyDaUGwlVkRRa2ngV2cICCTAzAVME5TMJy21QmSH/Y49jgJACdI2HzAlL4fPcU2BNd1p/asP/3RynoZofxvw4flvG87gNuPM4XCwoEfY3OhQsP++T2P86EfwR/+Hv4a7P/wZ3Pn0p/DO3/772H/f9+Lej/8oLn7kM9h/4qOgYcT0znt49d/413Dnh74f3/yb/wAv//CnMf3qr+Duj/w4XvmFP41v/r//5oohbD6eZ5zJs54xztxIYaDQitKXGBpwW3HG5/M3aGdH2AfF/yg0YULE9DAhXxqlcCeA8H54QROopeRAIFqtNBfiJQcAFSpuglLTYM2kZ3Xdy+hlWv3m48AYBk4F2ISTQFEKlHw14SsCdZPc8Xi0lbabKqnrQzKMxtg4KdEI5iY5rAQY1zMzUeCAdSr7FUDSV5LLKGqVxJcuOzuf2MgdiDOBQVn6tsBMeYMHZDExpNrLv5V/tVY9CnoUxUFnTOOEWgRqVZ5NOWALmKSY96i3Tx2odGMWUQAzMLnGTwRmq8Q3Qs0NokZrm1++kkHj7s2cqAuqGI1PL+7PWrgpcI2XnD5CXm5p23DmduPMPM1mjQFBCJDDAfLOO9h993fh9b/451Hffhtv/T/+Ot7+O7+I3e9+HsPLL+KT/4P/Ho5f/Tq+8Z/+vzC/cx93fvD78Xv//f8R9nf2ePGjfwnlZ34G9//hb+Ltv/sPEG6HiAkgYpRh2HDmGu36CkM3gOVgmskwj2uQ41FNnaF9JQlywXWNn8nruZsQW0BQ04wtBcfyY6GKKJASDMiIl1Bo1EAZWjCRrVxtdTt4+hIzW9lXIqgQQsbIa8KTl4NdkoSAaqY3JoIye8BPK6axnvwAvQwu0jinHdOVGa+tQM5NDblQLs2MxAwujKKDVU702qYsBSzNXCgdaKgDHTRRbKV+OueFj5IYHADOoVF7WhEToJRjqyKYK7nczZjpCKGK5tcFilrAJMEBnL12P+CpZ9Yvy4MGIthMtEJkRqmMKgWCaoVYdrVp5eRBZv1EBLKGcdBfTj2A6pquWO9JEXMa9KHF8XOf+2Pn51W7M25R23Dm1uNMuGiabAKXn/99fOl/87/HnU98HHL/AQ5f/ioAxeFLX8FX/nf/Md76T/8G6uEShy9/BUrA23/vl8zqMwLv/a/+l6ivfARf/8YD6HGyPisy3tCUxw1nrtNuYGGgZEjt2LmAEJLcglninPAVdlpbp+lQCC8AZmN8IrIo5OJCXqxGV9Fqkabikb+1VUmzp0oShVihbnqbfbVKtuT1VYQL7zikAGcgURnQVH7X3qirew64dq/QOpsQoZrpLMeKvCZppi2QKCdcxSJgHZREGxD1dE5hj/F1yx/VltoYlLXTCaACHhhjERSVdF1WrzxnOcbaxpOxCCYwkrvKLfOtw4xbuHhkOWeaGTGj7IorFIRhLDY7tUJnK8oyz4oDDjjIQxzrHvN4wDAM4GI5zIXgSoQnY1UzB1epOBwu8fB4iUlmgAWgyC8foBBUte9cCkQEDx888PneGU2UUMYBzL4BDizHWnPFUfzF0K240ozb0qG4zUabryYKi3l83LptDQpJZxvJI6/98LUNZ247zjQFaClh8u67ePjb7yEnm/3Ff/kQl7//hbaWkUbTOgmmN9/G/M13IfxyFujKVXmHNc8rzhTPv4htyp4lzjyZhQFrobQPGt/7KNtOcbHz/VqitmcXAbnLmwtObNrCAJiMSbV6MI/MKyGOdkqQZdCOa40ubGFKs9QYMv8fwvPU9dNzg0Pz7VO8zOzuG8aEX5/inz/VBTes86Li4wit20rFXiXIbSzdf2MRtJ6fmASyFDA7JChxsgJFAxwiyKmZEEN4VSULy4jUtkoJrRxuQaClbqrq5t1SQDQkLVSbj5WIMFLU0JdWNEW71Q63u0bxlHmeMM1H1PkIqTPUgRkg55GouGd0qu4SoXnCWAWj7MB3Cga4z5nZVg79xjQqUE2ublxEDamXung7l3IadHX9I9qjFHunz61qG87cepyJ9NXsxRUyQi5wmQXiz2DVrF/BbiGw/qmnQXdWlC4N4fnGGTvyrHHmBhYG9c52KyqY8ZkXHOV9WJgWu2ParQKc2VsaXedr7O6RghBMVmsTALTrF6Dhx3j1QzxTFdC69LGzP7d6p9k1+FhFFzc7rjX6GOOJ9R7URQ8Lag1NuzN1akc7jf3v0F7EPe0QCnFIACXzqF+uIESxlCZIjO6VdsI7QYdaK2a/Hi5oRIBIsZVJ5ln3FyM3dTHZWP4eIAmgK45CKDqAwF4iesY8w+u3o2VIqLrvsLac6OPRCqlIN/cUfl4fb9RuqILJwX8uFbUKiC2YiYtZR1S6rA8EQLdVlN1zNeCcCaCtik41dMKjhfmcn/LsTW5V23DmtuMMc6tuubxBxx2r/mq8xGPeGd6HVsgqFLdGPLINweSDgDMwWj1jnHmy7a1XL41e61m/T6I3yUIx0V7WNDR8cv9irALa9p9NW2wBNdIRHIjtSRv92yTEn0XajrrGDl2MZUiToJ/HEdzXtD52oV7SQSHC7qtrx4Aw4/nqoPqOaWnaW76AY5Ob89RDAlx/DJ3Wqflt3bSRxHEjqetmsb5Yy2IeKeSrWQriR1U1Fs5ytO0hzXzZjYMI4zh6Rxtgi6rvxieAEqRYQR3MCWuY6oxptrQxVVMurKo7Q4l9W2G2l0GxF7gUBVfCoVbM8xHHacYcgZhM2O8vwIUXPGvpaI3ey7fDkqTnfljKAOHKnPaVEC9XiesXwu1sG87cXpxZvAZ7+QzC5n3Pr4yDdv0Y7PlxPaX1RNSqOQLPJ870rqE85RnhzFMpDd0/cy3Mpx3uTIQgU9I88IjQ0vXSsqWm+UGDyDWZL8nsMh3ZQ6Ydt46FSTNSkUzJNL9cYzhCZXSrELIyyH4M1FYGsf9YDV9cjfxjz82OEqzB79q2Vg2GTf8iRZ9DTP1l6YQlUGbnNBNmx0CxTAA6pllqoRq18LMDiP0hfUwWbFWK9UnEV0ZiQiIMQFoZ1ZhkWmjFRs9aBSLBwCuAYLsfkwc2elCkSlQzs/OYAJUCVTE3hcI35ZmhahvA7Abf1U6AivALNz8xk81SYQXrhMvj0XLVPUc9iuYM476REQCpBddJvhCozVXwhQaD9bTuANmv1f6aK9r6p01RuLptOHNLcGahiHVKyOJZml4RPWN5aooHXKjWtRFi0UOQKqkgPJc4Qy0b51njzBMpDKcdoxSUc7/T+oNr4uSMysQonRCmZMKEWKvt8rbWlJdN2tWqUBc37TQ08ejm3kye/SffrYyQm7jEznDBwCJitcTFfINzbeVXw0evsWf9mW7GOsVoBFjqjSZA2LuYEzjS1Bd+s7xJOPhoIZ8GQj2K2gUtqjwRDRJ+RV2v5AJQvIocYH5JDK1ka1gZYr5BthnfekWorQKciABeCXLggmM54siWVimBuqmQACqCGZr3tV39Zgu2LAXMBBGgivkliSz9krmA/B8DqMX6PM9W63+KLYN3O+z2FyjjLtPWAIA8apzQCXe+nBrA2gAfLXX9Pc7+fi2hvb0axIYztxNnxt2Yx6DqL2f4AuN0vLllt7ZYE6lmsRESCAl0vS92ynArevXc4sxjMOA7iTM3VBge0/GVv239W7iWKMzRLtDmbmr+RXtO1BoPDVI9nQkIpg7m90PNzALYClYAsL181N5HEKFWfZAo+2ZFXMxHVYaCoQzmU3QNEmrbzIagLnKOU1vt+rugWk83tSwAhLB28fax8nABaRvJ9JcrQpANkNBcAeEqgGvp1FsArG/k6ZDRb0ut8hURYudIysAr9pz1ZMq4n3Tc4MpDpggp3O2rmOeKmSbMs0VnVxHMCkxaMRXBHX0PP15+H79Vvr8rVONFajySOoK9qojRhBWiUYxVnH/M72lFoLjNLdvqrRBwRMXhYMGW426HO3fuYNzvcu5NgkMpisG12v0nbQFCK99imj0fJcp5ozZHZ4/ftrbhzG3GmTc/8Un8re/+ZOpyf/wLn8P3f+mL+Nt/6p+3+fE+GOxEQPWMeWqFoqoKmAte40v8BH8JXAa8V17Eb/GnO5xhCKxqZ63z84szcRK1OVnO03cOZ26UVnn1kas6sryKtR0Iyza5aboJpa6AODSoZf4v+/UgdBsAddep90ab/kWuwkmYyrMfBBHCfre31JgyYBzHNNlpFUu5qTNmF+DZg1yig+cmenGMYmXTPISu4KP/r5m5mjCf+N+68SVw5nOWfaBuXigeqIDqYpllx1xQKlveNFSgypkOZMLCba7icu2VddfuxSdaw8Q3YJpnSK2YasWreIB/Dn/oFjf1neo8ej0213EwUo0I8WpAzmzz7bQozF6elZOyaaWA0dKCjyyV7XD5EEc+4ng44ng8Yp5nDKWACjczoPac3DHtTRo9Tu/PE294/MPeNpzZcGaJM8NoStX+4sJucxXOjNMZnPmS1TzwRY1QpNG21T4quwtpw5nHtRu7JM53TXO4IZB0hbmWEPnQETWPrs/B5k5J3+ClCaIpVOk1jpVAVHZzC136A6EQnbPTWi2lKXYrz+1ihwHjMGAYCkb/XFzjV7GCQ9UDYeaIoO6inkMiU1iSLNpVjaMEhv6/JTIC0hzfqiguon19tWSCGLMQ+UzmZwu/aADVCRCIc2k/NWrpV+jMteZLJCyxyVMeqUFRg48GTjHu2EAmCuEQEWYyX2XRASyMyLwWskmLCGQDZwc18ML0KiKuWJhKIWIirEE/BYgZ47Az43Fn6p1rxW63MzCWGZeHB7gnL+E4Tbgoo/su1cv9GpgulpY+tmWLVVhNVnjydl3h//C3DWc2nGkvZpNDLsMtxZlm8XrWOPO+gh7P60S0+nNmZH6o+fiCaZraRaiwEB5BnyNKed9GxOXftioFWWWuaFWsipcC4KGgUEEZBqvpPu4wju478+tN27cgmNgJLiqWhTD15vpMu1p3tqNTMlt3bQixCX1sWUtpwsxlkguyEy+/iwLsoLGs1OYrd39mpH6tI7lBcHOh99FXS22TVXHTX/PtRqR5Kz2LRNpcUcH6HZvlcKmgKtjJEUMdUVV8jKULwHJ/5Iqhqfvbwb1VlvNj6iSK6nsjMXhnUc1VBMfpaP7go60kjtOM4/FovFErwnT6bNv7QoIPZdtw5nbjjKos5H/DmafRngxnnkqWxLUbLXgbrGpMY9YixL7iOYl9pA36IT6qyIQXxAhNvHc4egeYCLsyYhhHjLsxBTkCbSJXWNwsWOcZda6oXvikjWdJ9EXqUmj5nRCGmId/NQQ3/K7Fd0CLlCq7jNrqyMss99psmBBDqzd/ntjOj2hAGpp6Agg1X5ioBQWpKpSlCx5SwLeoFRHAU8RazIJHgENxmt4UVe2i7OqIQQSjAhci2Nc7ucHMQKOtHoJm6jUeV8FtlCDUUrygvR+VQF1gURnMlDmOdvXswjvXinmecDxc4vLyAUCKcbdzesYEGoD148kXTWMon3ec/fz+VgFbe+K24YyNGx8OnIH2lSY3nFl//k7izHdEYWimsnN6jab9TwFAm7bpB5qA5MTGjTXZGYu/siCozbNphgMPTXj3ewyDRbwyMyICeZ4m1Lm2wi1eZW09qMVYDInagF1Q07RGHUOmL5UzEIaIvHCLp+wUzlu1MbRUnqBkVnPzTZtOMhPyWuNNUoIQgahmf/pgRQCLuvgKcrOhT54EbW3eQrC1yoIEgJeM9ihoA0nCK3iAH5WvosqFBRlBsccFRowZzCUqoLpcoSTN85AJOhM1E2a3YiqMNAPDV0TzfBcPHj7EVGeACLXOOBysLHWts1Wn9LnqkumcreQc83bTvwSd67VNo3iabcOZDynOuCVApG4484xx5n0rDKd6UGvUfQo+AJFXxl4ZgzTuFZq+m6igLdgIQAhp6tFBa9XcBS7yclUlA5iI4EzFGMcRF/sLjLvRBFw0fYe1VtRpypzn5ViaNh9jSSJQ07IzfQlNiAPI4i5hHkzTYHxmyl0fU3j8usj9BQx0rLiM1T6ofRW1ebashNxExbtqC6tuZQX0qYEtV53SHwhfEUDbznPoZy6/mmbcAK+tIIIOpQxgYow8gtU8vArCR1XwM/pV/CP9pJXNFYFiBmArQ1KyTalEUvMnuLFYNf2KaXLtwNHGbD7O3X6Pi4s7mGbT/kGEOs9OrxkD2RbEMUddzFMbaw6Yc5zBE317vDyvz6cFv21t2Tacwe3GmbjPrcSZNtZnjTPfdgsDhdZpnI4IEmoFTzw+XoHeX2jlTO0zADMO0amJ0Agemquu6NM0btuRbMBuHDEW2+gIaj6laZ5yMmt1LbYv5Uq9SW8lzAgG6oUTi/ObqQsp8MTscQD+LztOqeHmZja80ng95UrEVyqzmTSnacoxzPOM2gkyAJBXfjMQcA1+JcgWPOTFSYqnXXlMjqwYLQXbeXvtD1RVW0F56VVRy1cWiI/JIU8VAwoGZ0cbK7sZsACw9CbOHwMwYdvMBh1ji23vv/FGRXhAuQC70XzJejymzzFS18IH2riuZ7I4eipsJoSN31a/rq45lfCFWXlrT9Q2nPnw4ozR3I9vOJP8tvoV3wmcuZHC8OjuXN2oY87lXRRRpxz5m2n+xmTNHLVgyI7n+441RnJDj0cx2+QOGHmwtD1VTIcjjoQUgJpRyZq3jn+iUZ0snn9Oy3uMELsWn/f1iGEDrwJQVFjzAiExLopVjPnwLJK6okpFnY0Jj0dLJ5qOxxxLBE4l/VTdVIj0RWZedzcOSwsqvtVvyejjzCGOaOoOEKC2qurH2ld5NEERvF7fwWf4yzgW9qIncIGOlSE1nyoUIAJX4w8BgCpoCZgNwI2wxVYt3Ey/pdjeFMgVi0eqjwNm3wEw8q6jKI6K+DbdPWFwKo/Jf7ESaTwQ7Tqa/KYknLYNZ+L5G86QKuZqqY7TNN1anCEn3LPGmSewMJyvQ/64ZrvDragRAki2w5hxWWyUokAmxDTTVgpC5EJr51+k5a3JAcHwQCBe7rWGDw6aWnRWTvP7R/Q/gIVQ5ha1C22tMWN+7sZu36OU8tVa3gLifPyqhNhNTqpgmium6Yjj0bT84/GIy0vL9Y1839BkF7tM+mrLZISW0psddX9caf7AUjiFm5lMWAqbWdZXDgRkxboGWLGxlD2oyox5nlDLhFoKSlFQ8dx4Zghb55gsDYodNMygOKAqAMyo7sC0efUaDrlSapHfpbhQq5XWLahmMmRC8Y1+RGEl4cQi5I3vaq6G2ouhVbzDSjj7FaB289oi8w1A+lVsEHvTFR7VNpzZcMZwZp4m2+9hmm8tzgAt++RZ4syNFIbzG44ArMGccZ79K0AjbBzM1gQ0JwUCjerjnkqT2qmK51W3PGOpsac6OuFqPmUmN3e5Wq1hgvQ63+vSqj1hRaszkxFcyXJmq4ppqGDf3jnMfAQgiqB4Gg/FysOoYhHD/WqGUMW2TGVmCLkJVc0caHxjkcjTNOF49H+XBxyPRxfqGYfjAYfDIbX+Zgq0qOLU/NEACdTWxeqfE4wm62+Y3IahwPyeSCFnZvdtGsNahHLBOI4YhxFMsF3zfCtfYkJFxawVJIBUhXI1EAdhX474kXLEb/GnAQIGZhANlgctaqA1HVEhzW/qQVlEnqNNXq612IYxVqyHvUiLYKyMHRccC2MiwuwrozodMU8HyG4HDHZu+HyzqZk6fSa7lWy8WJp0pEBrrFKWwO5Sk7y6aJoPubVtw5kNZ3qcuTxMmKYZ77x3/1biTOlS1581ztxoe2vbuVi84tdCt81vpuz0NhZ1ANBmUskI5c406IJNvaafT7HvDLu3KeghsH0f7dg6GMV2+fC7LBRdyhrjhNWqBA4iChMwACWFdjXyRDDK+y/O0/gu3e+mHYOWqwAJcxVMCGu1vN7j8YjjpVUOuzwccHl5iek44TjNmOYJx06IwzSmHX3d4phM1krUsgcgcUYti9+jVmCakGBFhLYiGDzSV+F+Wzteq6AOBoJtBWda+Uy2772yuMPSaFtAkMKYacCxHO3eQ0Epdl8wsp/TPINAmKvdugUneVU+GDCUzlxb1Y4xW6BYAWNAeLJtVQaxErEGeJpAFwq7Juu05wVNUr9fnAe0bXQ6Hlm0PqApVnvLl+LtaxvObDizxJnD8QiRisPl4VbiTMw7d2z2rHDmxi6Jpo3HQ/snmmlueQR5BaH5DI0Q51cSQAMEWh6w53dFUqJXRJqmvBbla8RpWy1rdnmt/RKujh6NDcOoUF4bAU4LE6FGQaOENQepAAVnEGJbBZC9bGNXOvguebZ/gmB2v93l5SUuLx/icDhiOhxxOBxxOBxwnGbfyW61iumUR2qy1MBWDdhAFt3Nyp4f3VUc63yDfdNSoYUhc2i99pfJ6qvv5hF1GMBsCgX7nLym7+JH6A8xgS2NrGOS2dO/HhDhYbmP3W4HpgsLNHKwGYv5hdu6STurHQEOiuYHBbhQ+ghDMw+wKsXMnaxRKMZz4ucZMkgGijkZkv9OhItCVNtr4PR10MT6sY0Wf25123Bmw5nAmXk6olbB5eXl7cSZtBA8e5x5ilkS0kYCoNMzU6MxzUgQm3lk04iybfm8pwMPxrJndfRF+BlDky2eWxybiWRgjGveES28CBy5ClR0+ZtfuQABuFbM6xnwy1IYcpVhzBjaY2iN1QW4VsE8277sl4cDHjx4gMuHD1GPtq1t7F6nYqomM6NQsbrwaM9UbT6zE4EMlRY9LShpE3MQ11IHfgoDjqjCBtg2tur71dZaMRSrZqcR+uwatV3r/9rMAlDsccQfL7+Dfyx/DACw2+0gIhi87n7kw/d9zI1zgt0Etk+9xXoZfdTmJvymQxkwlsGCttSq8s3TDD5OGMfZTI3DSpunmLnWzhkA2/zmsK/dzjxiaydtw5nbhjMQdYuPbDizOP6dx5kbuSTOH+uO0+mv+V+FaVnwFUCe3tYGebl0x0kXzBkGHhPQ3jRIIPbUG7EdxULjz8Ii3X00Zqhr/YqhbycLy/W/ngS+YkkKUDdK7YKc/ACJunAAWgXzZGa/gwcXXT68xIOHD3D58BJabXUTt2eG5Q+HHzX7HwFWsH+x4kEbcl8AJLRzikCr1vtlYRZojtW2eqWOwV37rbYbXcUc+rjTQADfZlbSjAm/TtuiTKygzUEVMk+WmjSO0EGyyAyTNr+ea/daAS+6ajXaqaKEVh98Qh5kNXBGZUMqRIDjfAQOsJz5Qhh1AFNZrFDSdJg80UzHTdiXwhuR3Fe2x+wyd/tcExvO9N83nImXN9zXf/twpt8b5FnjzM0sDK4Fdy4Qexgaoy63jXUm1qbtQitWl/skdqqbBvN1JpiVxo8QUBVAbYKk+rVOOJWridin+9gYqNXiwVLDjzG27irge7C3VQBOnmX91gYOFDXYCSCFyYcV9hARzMfJhPdwwOXh4JHJlzh48FEAQaTz8NDcAtT5Bk3gbKMU9fSuXKn4RGmbMMSudRZ9vOy/EkOLa/hQQKWZRgMAuhdn0CrMhESE13AfP4YvNR4J2oBytRKkZ4f5aZ6SZtEKCggmxFTiJkb8qgqq0U9BdXNyVNYz2imGQhjKgGEYUOYCFhsTqmCeZkyHo/lIhx3GXUFx32RQpHdB5GjXLJYCEUO4Shp1wVhrVr19yoK3DWe8uxvOBM4Qke32eGtxZs0daAOMr98BnLlxHYZWCGV1/ORI+2jBzXpSD8XmwVOa1g4wwLcXlcUdQ49uqUdR/KMRTGpE7FJeEWaucy0jeqML1IgYvj8CNW1XCcSddp89a+NWbWatuCnl/VyjroLZ67HP84zj5cEjkVvq0jzPUKkuLJamw6Xk2PtUrPSn+v1VatKVF2ZELMyHUebUTIZJlRxSM7UqsCgD23ysScdOkRhcux4YGD2SGGATulg2EFmQl8/PqzLhp/SL+E39XpAKdJ5REfOhXijF/IfGd+ZvBLtrpHpf6wQihSL8kQx1IByK/RsHRq2ESQhR0/04HVCmAbv9jEELmAcMFCuImOFe4jzATGnxS1uhxQtqXSP+6nZrFQVvG85sONPjzOCVG3djFFy6bTgTDCPPHGeebgxDaPwaWmMUBqHOP+fnEWIKAE/JocVAz6SC2MkAbLDjUFyICUSm4YoqqtYsKGTnujbsBFqYctCVR121JoOxgtHu+PJY/nCi/Yeu2LqvZCsPma362/FoUcmHy0scXeOffFczoEUMD2VAiaIw2afWx/gX6U4iXuYUWPgdsyvpVqA0E8bxflxhblWpEK8Kt9zpzlcN7IFVrkTYtsJku/W57xNEYLXZzZAy9nkAACbsABRtO8vNtYKmRkf2+8azbDZihaOexgRolQQI25WQwfAcaffHFq4WL+/jl9k2A4KvImNl13bMC6FMBlqsZpYMFBMe1y01/ZPTb7micL224cxtw5lwgQzDcHtxJqYezxZnrq0wWPEKZ0I3vYRymANsSq79tlTX+7v5PUMzNSEWtUClKPxhypQLpLYHMjOG0Zi7q3uC43TM2xMcPNS0PyghElx77WxRBKTTXAG0AiQujkzBxFFq1H/zPGLx2uqRVwy4pk9sFdLmKVcEIoLq254ejwdMxykDp0IAVC1vehjctOWadkBeSrEC6GrFi5rf1UynBmD9Ri89w6j2gBUrCeRKpa+kFsFgUcgkI4KLrUgip5hjdUKE1+kBfhRvArLzbnJU7kfxZWTmkZMJ5F4VfwpfwW/iUx1AcWMxUVCxfpJ9BcNyt6ECEKGKosoMmWoWbYlzAcU4Fgh2Fng0HXH0m5hp0eknFeM4QkTA1Fze5tN2M3Rfi79jrrP6/aYQPLZtOLPhzBpnxmFAKQV39he3EmfS2tLz+DPCmffnkogDlKyV0rs0OylahDFSMO1WLVfaglK0v7nfC8ltZl0yhhKRJKz4xi4mlH1u9NXjWfrDVr5Ear+uPUl9IA/QAnZImwYepFC1aN7peLSCIJ6eFJvQzMcJ0zRBpJoQlGJmwWFIgCguMIXMTCbeBwkNXa2XIcgFbKDgQEbsAVtJTzqhy9rcuF7toBPmtqIKXycn+KTFwf/tMeFCB9Qwx3Gu90wwHPVDKAM4d8IoGNo9c04o54Y6/lDywj5EMImEmRqDlUQBmkGw2u9MhLEUSFXMzGCxaHADQC/fW6utdroyrrQA0WCW5Qosnxk/0uLA1h7TNpzxnm04AwDYDSMKMy52+9uJM6lpPXucuWGlR7R+nRUQXX6mtQh091kVTokf+jGH6bA34zX/maCKparUOucmLrYxiF2de7GfPgbJOUBWMLWNUZ2pKIS7e+7KDBh9Vd/H3YqK+GrbZ1fddzgdj7g8HFHrjDpZhK54rfbY7Y3LgEK2y924G1Fc4zeTvzMoXIiroC7yvlcmzwiyUfXa59yBq/1VdCCV2vey9GgGefeC7GMP4GE3vZnJ0ejOHFr/10G69zK5RnchE7DYjyafBeuUiuA1mfAz+kX8Jn1fA1UyniAVkDIIFXDBBMz0SGzbyJAoJAANAonsLPYgMl8NlYFQqnkoJxEoCWgmzNMRZWCMdQcr0tI4NoDDCq9w+hCNMlHoh1cCvWacK9qaV9+P/fAD2jac2XCmx5n9bodhGHDvhbu3E2dcCX4ecObaCkMzu2rXEXVNvzu2TiPqhRBIYei1vJYvrauRaHcOdfdypvJd1CKvuIT/rNPKFlruAhC8F029PzUZtl6fNIXlX6Njbsu/NROmikJg5rppmjAdJ8yHI+Y6+0rBfIeFC8Zx8GsHjIPtcrbb7VDGITXo7KSveLSE5o8UvBR4X1lFpbveF5hzuW6h+cfnM2Mm7ZKUFG0TltIpDN2/C6p4gfa2KlObo5gDQQPQvD8ArQopClTBa3LET+IP8Jv4vkUfsbom5iMq5CkUXCJ4iDBJtbQmiKXig3LVtFitOU/NNGOeJoy7MSO7SylQBeYa6Vp9p890yGnUvncnXiWbDnS3uW04s2wbzlidhFIK7ty5cytxZqU/LjuE7yzOPJGFQakn3/qE+KzdOYQIQlp3k1Z/22fNSynvZ4ARZkKV2u1DT+nPOk+MtoJo2i4loiSDdppw7nAHeOQytX6hE+CoEsYFAxdALYAm9kC3euxT5hkzMYahpN+wFPteyIFgHP14aeDCoRmTb7YC94EpoqJb+DGj3Kv6yoAJnSCvaNNxIzntGp166jUcDzqFCbKUYnnfKcRG2h0V7DCgqqJosbrzTABZJf+YuxbpDVRWFBFUmIlzp1jtIbCe2+Aro5OVTyXzN5JCiVGgEKkgMb9rVUX11ZrFIQBWwU99fwwvLSsVzHDfbjF/pdYsJINcDXb9i5VpLhH6vhJOt06m1Ue/QNfjvD1tw5kNZ3qcGYfBXRK724kzq/YsceYGCkPTipca+nIlQIvZXo/Gz80a7/2gWrGOpvHnVU3D87xmK1PaVhG9EFMHNHZtu5v9RguinxV8RRNUf0qfD50dA3JnNcC2sZ1jz/hpyr3jVdU3VxkzsjfydIfB4wCYUdg3snFNOnZTi8hgCwYKzVX8vUUgtGCk8NHGxjBEUf98GaVtqwbXgIlWdDolCfXA5mZBc0v0+8Lbta+X+/gx+qpVU08/qPiLwMyyMX8SnQFAZFHXxAyI4GWp+Gn9Q/y6ftL73qLPerPleu7IB0EEFDCqMAoEUi2QCu4/FF+8su8sV2u1wjbdbnzjOIIoIp6t2lwMtMcWpRX9TjR57X54RLvVloYNZzacWeJMYaP5UIbbiTMrWj1LnLmBS6L73H+6WnV/xM3875nxLC/VxUcJbTu2CI1rmLxcaqe/u8D2A4g851Qz/by1kmXKoKaSn3ddrHgc2IL9q2KGmQEnr57W738+jiN24wUG31CllME+l5KaeW/us9QgJHi2QCHKgCD1vhp/NCG1/4qnfPmud8lta4o3QX7cxNl9XJC8pn7hVuDFOmLHByKMQWNVF2Y0OSQgE4g6E6TWCi2AVhd8UbymE35Wvox/pN+b8qOOGE2U43PHF7BXQgAnmM1cSBWocJMfpe+1KIPYa+aLeBrawTaUucsAsQfABejY3JwTS/UOcMeTy7+n1F1+bLS5TW3DmQ1n1jgTG1gNvs/DbcOZR5HrO40zN7MwpA4eN5fFdzrHLGshWdV4V9fy+0lYPsm1w3CineuZVw6TEED0xUzobDZr+ipDGLthUccsoUEux+65uV1R9/AXzvOMy8tLzNOU92Bm7MYd7t7dN22/DLYxCbFrzJGm2AutrXJiNZ8FYrr+KODb3xod4EdtgxcgUCoAJyvABfWV2i17YF63XGHEqpp9O2EGlVh1WMjOa3gPP0ZfscAmV3ZJ2zwF3dZ4rgCEyFYthDR3klS8Sgf8lHwRv1a/1+e8Vddb8I52POV9BjEGBiAVKAQVA/4CK/NaQG0DmgAV3+r2cDiab3EewDwit/F1vgMzSCy4itzsqL6lzCm7Errl7elvZ82Pj3srftjahjMbzixxxuowwMdx+3AmY0JiNp4hztxIYUg9KxiJQrdq51iAB2Xf2h/1yHL4t5QjuxW6LynCAQye3qTNtBgsRV0az5CDpvY/speawsyJEqoy3P8OdnGxZ1u0azcmic1LCErVzW4EdrMbqWKeBdNk+6hbFLX6zmeWqrQbdxh3I+7sdhjHEcwlBYcZbYtU7gTFR3GqES4/h/nydKUDE2bt58xo2RhmWaL1UYK8rGPfyrxGAJP9s7kbiDDCOCPGSWTFTTTAjxqzR81/qKIEuJJCtUCKQKUAKnhNZvxZ+Tze0xG/rp/KgLQuBNFMgTnDRpcK9YIv9gNjRpSeDXDjQhjLACXg4eGI6XhErRWFB4y7EYfDhGFPoFLApDgeJxQKzXwptuSlhQmAIPy5dg4H40dT/w8tAelk3m5N23BmwxnkvZgIhcPkfztxJlItnwecuVmWhFJOFlJTtO8pg91wsCBpO2xaUt7YO9463ItyXL3WiXp65GApe5ICEXXH0owW5iUyITatlNrGJ6KA1iyekULl14f/SFGh1crD1qnaPvHzjChhutuN2LngjuOIcSge7Tuk2S5eNlkxMfqTozxds6xbA6xGl8WHXEXEjNichUZ+7o5XPGhBi1AU2H+I396g9/Aj+PLiXqQKpeAR6syFQQeb4VyN5fM0f4v+Mipe1iN+Wv8AvyafgpYwH8c5pncH5Cs6M6V4tLK0qHgGUANs1MyfmdqkaqlqdUapFVzFq78Fh3ZvqhXhl6K95t6exooTml+1OLgFbcOZDWfO4Uw8+3biTDfMZ4wzT5Ql0Wb03DnX01RipKrdfeOH9aotftOFTrf823MlkWvoa39bMDI8PceORBRwBPCI1OxXM911QiYW/apVUeeKefJtSxUYxoKL/R53X7iL/X6PcRhRipU1DX8/YEzSopltdYK+ryloHUjS+TluWn+3YllJaQqeM/yjfFZXaZsLQYYDBC3nnAGUbkOg6ErQneA+RWrfE2K690OsBFgJQgqI11kHUFTxkhzxC/R7uMSAX8encothgG2FmAq0B67FFsQRoKVLYes/F46iNR5cNs+YywweBhdkBrOkefr8pGDxIjhL7cf4DW+fdcHahjMbzrR7hQviNuOMj/E5wJkbBT1GOowuJe+86F6jD2Emagf0nB60um0IbjfQHlzQmcvPCnkbh/VBU6jEA4dqCJgzXFxvAq5mPvRKanDT1FAKxjJgv9/jzt07uHPnDva7vec3W3Qzg7rJ19SgCxdwxEifmXkCP5IoRJ3mr6cUTE09zFLQBImbtB4MF8oCteP9mQQkr6S/NqS1ez4RuoColHHrKRFYBMpmLmQUq1bHwB6KC0z4BXwOSoL7NOBX6FMWaISWjqawcsCi6y1vl6tLkJltba4s995WdjPqUJGlWtH6eg4Qk8zt2+KZZ5dd1ww6+rC3DWc2nFnjDNHyh9uIM3GPvj0LnLnZ5lNEZ6a+6Uwnmsp1+UTRkxOnpDl3u1MhDVMbuhXwOe3JUq3NZ6iiEE9rkWpb4kYteFDT0ImAOk+oUn3/d81Un/0wopQBu3HEftxhv99hP+4wlKgApyBRr7PeGiNqwBMKA/B91a+WsfPrKuoEYzFebeMINZRyddCE5lQHtvN73urhgSju1d8DeAPv4IfxZQDicVPRMQLyGrcUKrygSnuIqKJwM48Swcx8BIDUS+DCQFolz9lDIVAwjvh5/C4UivtS8CvyKTchKuBldcUrwWXluhBsgq3uGA6uhLq4xunR+bdVAXiNmEelM581GT525XUzkP1QtQ1nNpxBw5lUFG4pzmScgT57nLl5lgQtlOwlr+D083XaWle9Svs/0eC9M810BYSmnosCWvYsyKfimqCIlVWtvvOcC1YMLFKLRCbMdcJcKyAtv/liv8fFxR1cjPs0B8budmcG0ITBa51boZMGSmcFcUGsM5SJ3frW13bLCHJZsmMxaSHSa8bxECdqfWhz3q5pNLa/DGDwQJzWt1hrtO99H7U7tl5JaN9N9RUnEyg3Y6HGg2wlXC+gqBCwVvw8/S4EVlHtPoBflu/1FLBYhsRI23OUgMIF0GpjVLFNdryGf6RZUQ9+njeeluxHCnUfPd6/wJrx+3a3DWc2nFlfA6e/fbxtOJPKjutPzxJnbhT0GIFI2ek4ngxHqbVmcMlZHf6q9hhTIS0HGxpSCrT77TJMJn7vt5qDQrSmAKdW5xOc5jyKjUg4GY6UMBCDBsY47nCx3+PO/g4udhfYjeZDNG2em++K0OJXO/Ng+E+J0kiIhcB19MBCzV7SMyhwQjRafol5wUKYz1zXn5/n9s86BVQAeAPv4Y/jKwsmNUFp8Nm5httwzvXfu2al+gmW4S1+ngJMEC1Na8+uMtT3q2cFRrKyuCQz7mLGz+F3MImgasWMiocg/KJ+GkF3AJ6fLqhur1QobFtk21kOGhvseAEgUSgbb/Rjug7Xn1/f3u624cyGM2ucYWqqxq3FGbgS8Ixx5mYuCfST2mk+naa8PvfJ9Jhr9CE00OTHTqBBHQM2oVfnLDMPNl9ibiiDdmtL6WHP8Y3cZUBVwDzgYrfHnYsL7Hf7LCgScGGFQLxymt/QfJgWLBP9MUH2J+vyRdyJ2k2ocvXv1ITZCpjE/Dziyp6MSMg8aW/gPfwwvrzQ+pOZV/bGSHfK87Jf7d7aTwRgOcvENg8MqJq/MSKM26qCbLVPDJCA1FKdYuUxYIZodVCwjXh+Dp9FhYDg5a214IAjLgH8HXwSgAOGKhTiqW4tjz3QSgmRoN9i6dAL65klctfWK4Lb3Tac2XBm+R0APoL7txNnGpg8c5y5UdCjVQ9vAkzUilqYNnva1yUzGkGcrb34hZlgJPJVz4wltM2y0ODj5iEQ7Nq5XWD+OvY+Ivtp271ahTTzGVKrhAaAuaDQ+hFG4nF/gXHcYbcbTXjJA4zQ0qo4aOH9jpUEo8upxpIJ4GLVoKeBT2i3pj2v05/0Ss39ZBY6gVr+2gtab5s794jesNZOI1QU1BSYdtemCp+DjTyX1gDRn6QeWJSkQkSaQ7tI7Pju91XnCyUC2AKMCoqVip0FtQJVFSNmFOporYKRK+pU8afxu5h0wG/pj0GqWKCSD3q/2+PoRXMYnrvfyYOuBrMc96YcXNU2nNlwZo0zzf5xO3FGHj4A8HzgzM3qMMCnomeKmISF5h9mxWULoT7398rnJlMv+9Ge732gJvBRc52pIMBDVTJ1ZZom1FoBIHdpW0TOEnn0M6z6FllJz8H9iWMZUQqblumMrioZ7dz394pBnR1L/kSNzj0QUn9xfjwV5qsefQ4K1r8/6vpz7Q28ix/CV87/uJDOM2Ol5YiSD1Ydyd9dmHvAyEs8iks7ztKgIzOUyWrUEwFcgKLQ6oVPvDyuAAkagGDUiqIz/hQ+i71c4EV9Df9f+vH+oW2IotCyGseCFKecflaYuxfibWwbzmw4c+6KN/AuXrqtONO3Z4wzT1Aa2jX+xbP77+Q+lxO2eySDpHn33Hm0+pvXALEnevwF4HsbxCYlBJFuN7dpxjwfoaqm8TO7RueC68IYK4dSSu4VXyg2b6EEjexWz4XBgO5vakVdNP2Mea6f15vhsi74ifl1ycIZXNSvuJaduVE7Bywn56w+FAjGVQDSTZ8e53uBtI6UivAe2r8A5WaAI6e3Jv9EgJOaqVbNz0hcTGjFc7ilYrBabL4FbuRfK6pqboIsUIxyAAswyCV+Vn4bRAN+hf54kuEWv9+/DW3DmQ1nljhDAAr0VuPMk4z329GeIOgRwILtAEBPmICAM+WsT4W7XyWkIMU5cYOVn7DXIk3r9xzkKPBhEgwFodYZx+OEaTri8vLSNH6V1Pib5r8al2v/se98bCcLRZoYGeR7o6MtYxY06zHoEeawM8f7ldGjrlgfvVoU3++r7XRF8wbewQ/ijx559/74iYa/+tzFJJ+uAvL46inkKwIHNPWL8iy3P8dKrgwEIaDqABYCq50dpXpVtAkzASKA+M6A8zzjjk4YSPGn8Lv4u/heszLEi6y5jk+Xt1u7VttwZsMZYIkz17n7hxlnfhGfWPb3GeLMEwc99tPStMGlcJ/72JscM+p55VtaPINCG28wkBpy1EZ3P1LcX0VRYcUwbGOPS0zHCYfDAUSEcSiLfeBjBRFAUghmHvR7E6j5UVVhG6kQ1HY6yWeHz4hd+Td/rGmnLUK5o6IPnwMh1M2PlENfarir2vnGxe37qZD1orPeH/2mTde9x1t4AV/AR/CD+OoiMpmya/2BpTgv9wHQRU+XPde2AsqVUPhaW+xyAL926WA2bzBA1mpzxgzSglIUwlF9T1BBtnOdiTXamgOYRQDPodcqUFLcwYSfw+/h7+mnraodlnK7gJtNabhh23Bmw5nTmSLg1uJM9OtZ48wNFYabG4To5EP3m3NsVAYL5m/ad9T9XmnOK8EPfyCA3OpVakWdzUQ4T/aXQK7JD2n+M63f/8IFuVBq/OF3zB3lfDC2C1nXC+qposgNVxwoYryLlc05OnXfT+bfD573ScWf79ybScCYKVLMkJv+PIozrhr3ufEuhaF9a7C5/F0BRD47A7mfvJkgDXgt/5mghe2WVtUFWk18oQoSewaDMjdaZtP8RSRfQDudsNiVT1cjCJzf2g3bhjMxmA1nlnN7K3FGpuVgniHOXFthyApU9s3+dMxLfo4dXvU+hHNtO1wIKJ0wxlrzX55znmVt69cJx8MR8zRlxS1iwr7s3FdYwINFskagUSmW1sLETZC5mF8wNTsT6thidVEARdSCoDq6kNJyHDnPV83uMkq5jw7Pq3rOeCyTaHf68l7XbVf5G2Nk39AX8Vl8HD+EP7qyOwvhpmW3PYboyrH0lrcsw5qLARc8bVo6Qy3FSdtDtftiYN123mMqtkkMSY4pnhFdUhGorySThsT4Zf2BPP9RgLS167cNZzacWRwPnME9fENvJ878Q/wAfhz6XODMDSwMmiEnC+YiJ2w7Dc00Rf3BHOFa99XQ8NXv19RYZ0RLtDqZ8ZUwK2BmwrniOB0xHydAgTJYtPF+vACXTvh85cFcUpALLK2qxJ7qNmDUKrZtKbH3qxtFMhWyj32/+h3zCEvwWtLp6um/UqO/Qq7Pyd/jgo2W8/poAY4mYEwwK0PsvrZm5kdp9HTF53Mmt7aRyxLcgvyRiMdKmPtQ59W5BIAJGGB+bSXbp74AmH2lwOrpzmLqu4jAavW28KgDRihmAOd3OTxLNT3zQtta1zac2XBmw5keZy4xZl+fNc7c0CXhjQhAlCQ1Ewz7ACMQyIpWAKHNhsaVt3AiLtKluugd9WCftfCmluXBJyCy7V9lBgAcpxmXDw+YjrNHKFt60jAUq9Dmt2Jij05mFBpQQG4uNDOgzY4HOgFg9qho374lzEXq4BM+RELxQKXGeATLjbYI6bUo+LEYZ5DoHHecHPS7NdxbnnqukY1recy14uvatVanvYl7+Cw+jh/EH5lZTpvQ9EM67aM2xPG5tI/+IuiEc/EyUGTcQJj6bGtayujmWA0QTCgBX5V1fkOFWvlXEbCKrd68Ml9w944LZnEQF99nHgW/KJ+28rGlIN9OxN77DpzVgKKtHfFoN+96Em+zbrHhzIYz3d836bbijOOJK5HPEmdullZJir5WWfsvQUmcHwRMkSzizB0baaRvTfN7u9EZFfbc71dopwqYH3GeIZ77TDA/Yim23SsxuaBSpi0V8pQnsAmwE9uCpeLRPtKuLGfragQadRTpFy8JOGj5ucvFjQ8ggpCW+u91fIX9ObT6pW+5KFu3M+Pqrjg5Ne/snwWMI4oXyOkw1u/A2q1vCD0HrG6u/nuPZstG/X29PxqIkTq5n6sLdkFuN6v+cvHgspjvWPWx2rbDrOaftL3tAa2CaZpA44yHxCYL5K8pYltOSEUYODV7vB7Do+a0++1WKgsbzmw4s8IZb0K3FGe0Ok2ePc48qr7G1S2oFdoXgoSdDF7dvStauzL+p/1hmIi1vdH9XCILFqkV0/GIaZpgFVgpI5RLKU3rdiHmwmD/rTBbOkzsRZ+AsxYEfSL/XLtB46zTu3dMpysOvNatr3sN4fzTF3fDtbioO+1N3MNv4+Nnf+9wKxnuHH/0vTJM6wCKkHMD9+m2IjjUzkG/GjqFNSLqVmS+kx88Fz5Xgm01GisZEUGtMx4ejvj7x+/BPPsWxNR1zjuxMCPnb/Ei6sTn7L9Gd1/U3N624cyTtQ8jzni7tTjTd84/PwuceSKXxCl7+wSpLpTITG++xn2MwBq3PPGNpTZHwKJsqLaI5YwuJWBgi1AehiGFn4nMjMzNf1hcaI340j3Ln5LabFNnMzK+V/HRGCpMYGvTm/rNyO/e/5wT+BianWsnZUJvcv1NHmQP8+uWGqqQ+RhD+39UMx9kn13Q+qHa6J9dJOSSI8zOmvci23KWANWE/7N+zsTJM0uPEPJIoetPYLI8aUudO+LdHeGiVKD4HgC0NIKbyZz8WdSNZmFEXD6/p2d81CtOviVtw5kNZzacqfmSZn72OHP9wk39fRdUefSzwmdGiwMdwV3wbbEWGlxH5RV3andMvAxrpKKouC8piqCUAYULCpHvm+5antfqNmH0wQQHeWdawNJKGw0ahPDEJuV+0lUmm6wa1tGjV9Sv69Zb3bSBzPqnrs/nfzn39Rp6Zn/D1elvqWn/EcnchG3Z5yUIaKCz0dojjdcmyX48j++lLhdB11gVRZ68f+me1RBmFuA35k+Cq+9O5+dSuCVyVRdCvOxDCHMbS/dCWo3weuP88LUNZzacueKGedltwxkkvz57nLmBwhBJIvHg9tirrzn3vXknKW5Ecffu3DM3VolgJ8tbtdSmGTJbLrTd1809pYALmz/RN2+JXeGY4nNbncQLIL+rJgidjOUqjewxmlpYsJt6T4vf7Nhy+q7jW2z9ffS5T4IVi2c85t4VjK/iZRCAH+zTn2gpgK2vS4ItzLDLhVACbV+y1UU+05MyramjM6GtAqKf7bduM57AYjcPerx8S7dSy5G+Pxa8uFiVELRfSqwCrJxdz1IwzetntP7TtdztaBvO9B25YuAbztwunEk8efY48wQuiV47p1PNP01JWGjNiztciQKd9nUyBtPeQhhENIOP6mQmQoaVbk0/kUcMD1xM02fO3Obizwoi9rXXCXY8j6mPi1vXzo6rv95Gc2alcH3htGe9nx3H9H1ev2wLSDuzajEFnvE1F+Yf8rLRCyUcS6FegDcAcWFsUcurO4R2HfRU+yzwiOUQZkRa0tVjjzPjRppAgfQva/zm5uglPeIcBxK/Y5pLuxdBPLCnRbMsdwK9Xhnd2rbhzIYz2HAGvW737HHmRi4Jixb1hwWpw6yiy3O7n86QUk+OLf055weiKskEIoJ5rpimGRqBIdw2YGnmHt/gpRSE+bj43xCykuZL79uKkIkt2qVadb99e/Xt6wvzgiH8ym9nW/Nb0MJypodO8zeBSOGzzvacjNyPYXW/NLBpZ/7rtP8UjtD8UyDRALhrehVNHBCguphThUXfzwL8hnzKg5P61UUH9vG47iX3qGk7tZo+fvX2YW8bzmw487h223Cm7+ezxpkbWRhMK5M2CDenLYAzPrvWs9jwxbXe2G6etJly+nPOuoEUULHAI6kVtc7QWT0Fia0v2s5lBcpQ2h70xQJl+v4m8WGwlCuVYKxuFROAQPAcVzW/KIMt0wXU9q33SOnU9mNFk4EpyxfOcpgrEDk56ToCbelmEYS1vHqph+vq1/7+j32SrIUE2eG38AJ+Gx/HZ+iPFhO6hpgAKRPMprVLpMj5yWYSDAHV1T3ju4G0QCAp7NTOV1tRMJHxUgqt5vPZ6Se1bRJjlfwY93XE/jhBxPP6uyAkhWYgnAay2Ei8/5zntX6fecWtxnYb24YzG86c9ESReHPbcIY7+j5rnLmBwiDR47MtNOIMKOo08Nbdptl3fI1k39DWqddi7XxVhVQz19Q6e/CRldA0ATVhCf9hPDdBRrGSitDOVqsNegwDL1Yz9gyO3ObHtfdhbj7R/hcrpV7bxyOPL76dgMmpqvooTfRR7BZ+RgDL4KRuXtZPI7TpOHlqCjAWjL7Qwv2mqfXbCbnSCAC12/Wmwe6C7ndSBYliVsKv4dP5vDQh+1iylOwV9IlxyiMptjVrG86sTstx3FacWT+rb7cDZ/p7PVucebJKjzfpj7ZBh94bQtD+u2xr7TBvpeFT9GjlKl5X3XOeuaCggMn/gmEexvas3PhNW+Q01szjHEXrY9dsS/159b1jurMlUh8h7AthVl1y07Xb4yavLw/WgwWfXLqEktNW3c8IYFED/hQuQks+s0IIYUMTyPghFOzzQqSLzjWya1yEPhhp+c9+V1V/WQD3ZcS4es658Z/j3avoZH18MmC/FW3DmUe224Izj7vVhx1nzrVnhTM3UhgyyKIfEC1/J2qBPQvNG70mf8rsJ8/q1wuqgJgpJv7VGhW00PYg9/tHGlN/D+6pqd136pmmRUcvxoUzRp1Y0Zxy5TnSnP3et4VfqRPmE//TQpiRi5fHLygU61qhV5plu99Pjq3u+LjH9sL8mVVw0jn6RA/Ps9jpCxur3xSUpucKDwxyoQ3/ZPNLBgE7fIBatTWFmQmV8KvyvQkM59LZgj8U6gFZyBeYrs4759u80t95S9uGM30HN5yhM8fWbcOZ5XnfLpy5vsJwpmPr1vTrFXdHDXEsBRREIA8wiljRheYUZiBRVFH0LGDBRKbbE1mUMtxECDcbkhdPITBsD3h/VlCbohCMAQ11Xe9XCKFhMx4rLVecYTeJWzWWW7FiJ8zLz48Q5mu1jnarCTy9y+JBXQsRe0xx0DNSuhTmry7SjxaXav7Hv3fI25sEO+3/dARdoFJ347h3CKT4OYtn5LkKiAUg/Zp+CvfVfIxYrSYWLV4gsZqgoPqyf4tdCeOl9ojb3rq24cyGMwA2nLli3M8YZ27skjjVZrCYvKW23/9tWm3Km640UYTWHgQ2Atb0KUoyODOD1PYc5465CL2PkdH7xvKTS4ZtHEKdiAHrVKwcQ363D2t27sfdSBKpL35vupkIPj1h1gSn6Ou3q10F9iHM7+AuXsJD/KCvAq5qvYA1jb07vvjbXhTs36KWu7oabilRaBHKqlAVtMpu3W/+fBXg3TpA6sGxZA0wdiW5EOSqM3ve52a3F1VwW4uX//bOyQexbTiz4cyj2u3DGVdAnzHOPFkMg7cQ4pNO0DJquR9EO3b6OZEASG2tiroQV9TaCGjRo4BFCtszmSw/2vyMXjylv2f/vFTDm4RoCHhP2jMmwSfbgKONyzuMc5Gsj0p5Ua9dT6QLOl1tJ+xXS/GcM6r5k7YTRD/z22oFcB8XeIgdBITP4CtNIFenx35sSyZ3HlqZ+mIaz3bAVwwRXKQa99XulKXqrVBUZfy6fg9UPZJa6bxZ1SXTot3bVERqnHbnRLfWpt7Ii7bVwKY6rNuGM0/QPkw4A5zQZvHo1WM+lDgT/X7GOPO+FAbrjAtsr9K0H09OT2HW9u2cgOflqhBVVBGoml/xRMuKiFj/D+c+8w1GHjkLJ7276uij3pBNbB45FVf82GvyC43/TB8Sg7rjy/NWD1msGB4/yuu29bOve6cKxtfxEgDgM/hy1zk9uVk/zgfY4bfw3X6q+gay3ca0GvdXVK2W9gRAYCvG6mlgkwomnTGjQsEQKCoUM2YcdMIBEx7qEfd1sJ3ibMmQo20vKVvZCbq69cRt/nzVd9VqaEmrk1fa1vq24cyyu1fe5ZGP+EDizFXttuAMd0rxs8aZmysM2h5EAAooB1moafjrf6H98+IermW7cq5dXr+KoHpJ1nmaMNcZWltqCnOxDV5ci2YicNR1L8WF2nJh7QwBN9FvY6HWwxxZjyweXcWu4jJgEdPk+dLpyySbRGjTADMRvBPU3pd18uw2fvGfo/eBe3F2bC5CRItbBGsFe4clrQnEVQwTwGEXrBmppbE18652V6QWHecF3WV5p9DmQ5jfozv5i/h/xfuQ2r16PX8lPNBdau4x1rowJdq5Mxz4YX7Eimr3FsEsMyYlCAaoEkQVswiqMCZiXBLjkmG13OsMIsVcj1AZEelRu2FomrsCRAyh4GFxcjYNf12tzYnUZpy6xSi2tuHMhjP90177/O/hp/+j/y3OtrNvvXawQMA4Ln92C8w5/W4E4Sewi0f3f5a36GR5+dmPaMO7/rGhnKoqRFosRPAlueWqDAO4lLQ0lecAZ26WJZH/Dc0HAJ2aADt9e3EtLVippT1RTp7v4pbEFMyeCz3NUxbuaFuO+j+CC3UEKQFp4gPMtKbr/i114JTp+E79CLze95las+bLpH40tl0otfG2S/SEJu1A15cVky7kgbCcfFpTWrsbP44lTl/m3V1Wdz3jy6RVR6/T4hLSNB0CPuepLqyEbKEiNH8twWjFAKqeeUZ/fSoUxltRDS72q4+96+PY4g6kuepUrW2vAadRJSvgY70LHu7WaB3vnQOoM10/P/e3pG04s+FM3978/j+G9/6bf2XRZ7srdcM+VT20c8v0VSlVcRZnwj1lMQfIF3n009wGIeeWeltVLCUSZFk1Kh6XUDFLtWwb3zhMNOJkBNNcMU0TDscZ0zzjcpoxS8U0V+z2d3Dnhbt46aVX8drrb0DBIBqA5wBnnnB76zNMslRAT4T7tFN2jwWzdMEjIgKt9i98ixA17b2wT669YppWap0gNxOaZnx1f4J5EOd5mpP2snBm9Hl+Nl6ca0zXPdh9YLGTXUS2nhHBc518/GyuJf30jlfe6Nxq4KqmJ/e7WQtBO3uczjP5utk0URfxq+dvevanXjx8dXTmWuMbi3xvEhiKh550NKXhVCQ6QGzb0Z4EMwHn06TfH7k/8G3DmQ1nAGC6uMB08fGV2AV9ujnpnqWdqDdlq8mwrhWGbjGRpZ8RL+T2W9V2fxHB7NUaBfa9+qLCLJkVVaoXdjNL5zwbnx2niuPxiIeHCdM84/7lEcc6YzrO2N29ixdeeAmvvfIG5o98F4ACovJc4My142rCb3cSDRzMmUK07GD/16dutV6MTjch7icuS3l2MxtC2qpn+Z252x2u0yqXrHSu6Qlxr0eT5chOnxGlSM88e6HxX1e/+/Y0XYpOd/zb0M4Ot5vnx14fN+hmdXE/PdnuNeylupK2ANs29Q2Egn96fy86Xgyl4mz/Ojmgrq/U3f+soKzv+WzZ4pm0DWfO0WTDmRu3DWe+LThzw+2tNfu67txV036dvvQTKF6GtdYonFKhtasrnxTyJ2vAQzMVGuB0T0/t+4qne8nVtXnmkZHEaivd6EdoeIJW0GOtzTVYaZP7XC0icxnUHeq/Op4uTKpPNIAGbZIgHcf6pCBvGenWhLL/bS2gNoTw80YsBPWPRsxartBWQkZMoNqbpOPRjxiwdzPMxSExC83/5JrgA+0ORV+fK+74jrQNZ1ZXbTizuOSGD8r/bjjzdHDm+goDUevKVUrsydH1iQRo81F1biWoxL7z7vfxz/NsZkLbVhZQZizSU0LL9/3or5C7J27h/7ZhOwXCpHgy9nMP78X83G/XOfZtalcxysJ+eg7gFj/fqDkL+H2DLosIheXTViCs3d8+crkds4sWx7UdX+5av+obApiDP93kTMi/MYgQcF1dv/CVUsck2l56uqYo9S/EVY++g+zwPLQNZzac2XCmDeJ5w5nrxzAQOQOH/rKQJNCiK3ZeGyW5shsSoUvt0n0/tVbM8+TCXPN77A+uIAtcEoWSAOxFU9xEGAT3k3E+KC/jfh8x2GCxvpOUmmowI4Wfqxszoa0InGz5rD6u+1HifdqbpOL7bikIayE+o9Wvn7fu7/tZteS1epWhctn6wjK9cDfBDkCIkirt9zbm+Mzoe3/OTNxWkci/oMZnydMnMtnp+wpE3vT6ZGoPwmIkvdZ/5l34oW8bzmw4szq24QxOJudZ4cz7r8OwahRCvDzYPkT51jD/dFSus0Uqz/PspkKrugYgi6MQWjBHbx5kP6d/nMasp2Z1jiqn4qH6aK1Wzv6+NgMttbbT81ca7iPaUrt8+u3sAoDg67wzonsT/9c1O3yiDfe3oOUWwLkS618Uj4HFJqz9Oe2+wSvtf13tNGpHQ7B703K7W28c1MUf5Pldxx/FZERXTMzWgA1nFpTYcGbDme8QztwsrTJNH9YBVgJxRd/3cy3SmNL0pL6nNzx6tFrE6PFwsNSmaUKtsvJhaSrzVGiBFW0XuVbvPaOX0eNK7+tZd5oy4MQwJgAgVhQMrK4WpVZbHrSYGFXFLJFX7fRKPxWliPTMuJjX9Fm6KEVaWTfungnX28v6LW8m+F1AWBa57zTas9ij5xj6ESsMv6hp7OsrF7e237vVQf/PTloKDROh5jwRiAqY4praPYdBZEdDMw/gIuejMBsyFRAXMBNKGZzP1hXZTgUgj2QX7UUWEdsxRpvfMzNF5w2IH/a24cyGM3Hf/lEbzqxHvTryHcCZ92FhiIkNhl8/8rQLKrIQZgs6qqjT0YqmzHPnW3SNn2NCOj5y8yCIsrgJuRmnLHoQV3jOavbqVJc2y4wxb8Ybq0cfO7NEHjdcE804lm6pECuakAczTLo4dv4oOkOjphAa56lfcjaI5TrN+3jtTUeC81YAuuwqLRcAZwD80Tr4VeuvBnDrM3vBverzomsdOLYUOsDKrsriouYzXM4bHNSN9wiFGVxKCrLdG+2aM+NRrF9+wV9LUnfvxhNCXde3+OFtG85sONNd0z8W52Z/+fvpozecOUeo6+LM+1AYrBvpJqQgunoH2iT0V/RMWasVr5gOBxynCXWaMi8aEv7EAmYjDMEIWohRqKBwwcBlUdN9PXI6Q+bzjNYfJZt0KKIal+1GZysOVoRKD4VCiMFYa4KhjTaN3rRAyklOeqGBDqEJTzM9Za+WYwv/16Oarpj73Ol08sHnsT07+9QDVmyoEuPrxn9qZoyxrrRj4sWRJS50d1CCUhOu9G+Tus/Q6U+m1YOqxx1pvjSWYwwUaoWd+98X4kkAF0YpAwqXRnO1UV4piFt7Cm3DmRjvhjNxDhbXbzjznWvvK4ZhoZF2804kZ90isf27AqgqqHXG8XjA4XDA8XgEpCKq8InfgFVghWFNyy/MGApjKAWlFPvL9o+ZFwLRHrwUmzTVdBy+EIjUlM2kyUx9jdRO5BuYaWqdK8Gjdq/sSwpzX2Z5xeCutVLHWJ1Cu/7QDXUpLLSUjKsuy3Hnb113l5d2o6Ho5/r5bUwnQHPm2Y53CGLFd19vNQqczR9bPz9+o8Ux+6cdn5IfbNo/xbPClxj7BKj9Fr5rBaAqaKlZW/t2tg1nNpzZcOb5wJkbpFWeTqq1bmLVNLE4ce1BYrabSK2os/kTDwcT5Ol4DDlJgtkt41rX9r2O+1AKymDfy2B+n+b/atyYjOVCS6RQDd9QE2Iz/bVBBv83MxJhzYWpbZr+b1Xkab3a0Ly2yVTTQqn7vBRnXfxJEMpD5yR0KUhJxhzMyRBWz1gCwakQn7u0vxgnwtZovLpXAFwIUMhVnBh/4liCLtvBGJD6+oiWJkAo+wB6HzWdUDEeHD5FVtvYhYtta0xMwGxV2rL+u1cEVC1d6bOzwrG1G7YNZzac2XDm+cWZ95cloW0yQqXqPHOLSTYNVDHXivl4wDRNOLrGP88zRBWkAmZO7Rz+N3S/2FK2uNaf/zx4JIVOY7qaMKjvIGb37PxNoWGHYBMt+P78sN38BPUCKj5SaledZfrVTa8+c/msuDjYt4HBVYU6Ox8ZVquadorftoOOboV0tq1usw400lgCdb/F/OXYKYeDNIU6wRd36+Zn8dUjiyhBlxDO047bYKAdY6ec35jdvuvh92UAWgilMrgMKDqDiXPVEDn8ka+P2PLYx9tkYWtPtW04s+HM+vuGM8+kvU+XhAvLWtHtRLlXxOdazSz48NIEeDIhVpEFQfrAHvaAoww2cuHlUsBs/8KkE09tecsnHcsJP13JNLOWAi3wqJsZ7e8hCiExvmK2/Q3OUmnN/RRUy/s1/g4/5HlBSkHOnwVWPW795MjTbhdRXEf+3DOP6EHj5ATq/Mi4Yhmoce9GeSOhC5ACJB2dzwjwwvTWmCL70NZ0Ka4tgNnnqwcRJgazLsHa79k/N/iHiUCFwbNHw8dOhSvAixVST3ltBNraU2wbzmw4s+7ghjOnZPlOtCdQGJZk7yesDzYJD1wIsyqsotpxMtPg4YgqM8SLpRATIMnOxtxEsKwT19ziM5OZBgn+101uoXXmk2NRonkcFEydv56MjNCNQj0f2k8gbnuSMwAhB44FY9DiHvmPqH3szli2nlUfQ3296rz2ZKV+lq68bf62vH83ok6Y8iw6Qz9t11nkdERu551yZqi7JiO2sZyH8OW2dSS7sq8enATE9r62DsuR+3yT7TAYvEUEVvfqdoIXIBAvBbbJhfkU/TrnuUx1IjFAMOTve32G1o8i/OrnTenAhjMbzmw48/zhzPUVBokcZ7T0mU4zE5G2ZbAzj6hbdlwr01msaMo0o9YZgPlxbAYlb66knsZkt2ey6NFh3IPHATyMlnrCBQQG9xyoLcAnpO/EY5cmozxix7RdpgSwNG3Q+CVWIlH5zUybQxlQCCjqQSwgCLecbZ/9BKXWVweeAAE3RwEAsWY0dmqsmrGyDR8A06aBbgXQmwobVxAFLQhLbmk+2BCBoEFo7nGvZk6lJF8G+UBT0BW5S7AJs3UQZlhF0qm7CcL0JtoOQxUS280SQT37Oba3rCKY5hkq1Xx/oqhiok+lgFRRtdo9CJAqyQ9p1iaAIlrdCIUKQFQw+4tG6gxWYBgGL+5jv6tWpxovMC76C1UodSbdM/Ies5GXPkbmP9Rtw5kNZzaceW5x5oYWhjD9BTM2X030kWCyZJMrpq0bBS2AI/Oe2c11AhU2X03sU9/uBMA1/cIefGRCzKWAeyaF3cuI0qh5QhPXFHtlTVWcCerqXLtbyoczI3dCylwgo6JowYDQEBkkBFZ4ZTgv3kGcTJ0jdABRGBPGLFIly6ui6LSDHXWHSBcU6AurxDNsG9du7CE0fqPQlM/yTghgmA7VBNG07pz2TCmyiUWa0mS1GlIygIKv1CKFzH5laGSTqyJ3eBOkIIOAiuYXFFEv8TujimnhUsUEjBqP1TobbQGgaj+1y9UFYWHuExWIVoj4NsgAMj4+Ud/BNVcfAQpxQ3tOL78xDWsLb+P42942nNlwZsOZ5xFnnjiGIYM8QhNkn2AVC9qo1QRkdnOKVAs6qoJCDB4GMAEi1c02DCHX2l3bY3CWYuUQoMLpW6RU8peCm5pUarOdJJKbe3wWYw/zWqPPxigBRmn2gvrlrSJbKeHrtCIb4zh2x9h9n95fJnD1evROP9LgB11ouDHeKgTfZ8218Sa4WWEuhALNd9b7SNUZP3x+6CnkdKA0czV6NnOf30Ut7Cqeufa1IWTNnxV7wHcLBPseRXWU0KabAFQzyzooiMeOSew3Lw62AVBqOw3O04xpPmZpX6k154p9oyBVcYshg9WAVtl5NlYkZK8lq/zn9FN7rkaBH71GclPMZ4rltXeQB7qrtmZtw5kNZ/LsDWd60nU0/s7hzPsKeiQ1RmAGCg0gUtTJIpSlVojM0FpdG5sBMdOK+QpNSImdSZTAkSrTUYvcXGZaNqWgRE7rOoLW2mmgCXGfR+uanpuCzHRZMU+TMVHV1PZCuEJ/7jXrFFRmEDOGYcAwDBjHwYXX07OGAcMQws2ZmhUrF9IQFhPCEuVn2wA6uriAqXaCjBTkxoRIjTMirZsgx48EK0iyZs+EgO6aDkw6hl4sJuJZLuf5G3VX53H3x6qBaJWKKq65i9PfXwC2OZDPBZBpR7XatfM85XbFEoFtoflHIJv7owfyVLlxRBlgLwSKQCtPe4olgRgwmEnQ+tSTSH01pnFyvkJ64lzdwoS+tUe3DWc2nNlw5vnAmZspDKHxdcJDBAylYCwDhkKYmKEyY4JC54paJ9/gZXI9fln3HGQ+RCUGSkmdiVN4l/+IuTEsuXq4Ilgv223rUHueMYmlq9Q6Y5rmFOTj0QRZk4nsb0zT4uau/Ud0NUAurCbMIdyFGcUFeRwLeCgY3DcZPqomjAYOwzCgFKdTmtU4BSaGZ8LrAg0Ck3+ntjILkUT87dXxbsV02noitrH3/rdmal3dTRqASFyjplkrWW1806oVtc6uvdtGQHWuqKqZUtTvMFhrbcCkyKI7VrVPU9DJhTiFy+WSiDCWAeM4YieCHfY2h4WWfOT8onAwr9aPfGlkfvYVlLtKgLXRrj93UxpWbcOZJ8KZH/vqV/Ha5SW4cBcDQd3rxYM2AX+5laW5vhkETpiYqMFA4FWeS2EaN/5+6xMfw1vf/fFG+w1nPjQ4c7PNp7B6WUHBBBRiDANjvxtRCFCZINMBh5lQKwCpkDrbxhpOZPOlRWBJYzwiQknToL1sW3qT7yNH8c/7osserot4iApICLXaxEzThGmaml9qrqlFir+Rk/lOmLWPxhX0VOGjFeIornHC+zqE9j+WZkqM8TF7BTmyUrSlYBhHVxq4+TER8tRzSVMAMsBGXaBXm7q005dc1r62mW2rAyzoaOfHmJueq6oQB3nNUrcwTV4EglxHQBQuwBVzrZimGdN0tDnp6vvXWlGl2ipMa+4qaKO1Jy+CvVyww5RrAk85SDNhKyq3/GZT5AmDmw3DFMhMWYJXRVOIzQAaefZraXUgoJiPdvxEsBMQaPF10W6xErHhzJPhzPi1r+Pe/fvpU2/9b/9ygUJugQilwjWA/LuYkQ4L4u/i/GW7//KLG858SHHmxkGPMdj1c5gIIxeUcQBkB1xcgKQCOkNnn3CpYBdMq1imGQCkqq4Nm+Y7uH/OTG8jxmHIsqz9aKlxk3dxSZUwIakK5rmizjOOx45xPNgk0p8iz5mi0pcutbPI2U7NViQFf64zMNvKJtNpQF41jlGKB1YRe0U5M32OYWL0VcMYYx6HBLJSqKsvvvQxhnDGdriZ+kV6niE6818OLOl2qoouSJpKRwPM4OEAPlH1krwWXVxF3dwGVBEX4AnHecI0zThOR0xHCygi+PUS5mYg67i7Zh/+XJBt1GIvCBdEV7DsPl59jcwEWecKrYI6Cw56tOh6JsuHHrqVV5JFDABi+9kYbGM//05nFlE9MG7tZm3DmSfBmcuDFapCKAve71QW3GqSVhWvNMipNJBbHOAdOVUUFuztctkbcoLGmv3acObDhDM3Uhh6LdGCadRzUxRQ20Z2YAZ2A6SO0DpC6hFSCHVu15dCAAqqm2La/TUZ2nxyxcz5UUSFl2a/MFf1Vd/W/TUBtt3pJt+pbvJCLlUasc0HVQCQRxtzNz/dRHWC3LRTS6HR2YKZamfeUmgnoJ0A261QmLFzf+Ru3KWisNvtsJcdRtlhHAeIFGAMJrXxWipZmBQ1halnuD7OKCy9fcsyNL1cn6qqHT39Sb25TuEav51ZxfzL0+ya/Tybv1kUs1RM84zj4Yijr7zmOrvvsBrdEasHA5WY/xBoo9GuVeAbBgw8pNk20uQab4VJcsJ8tJz8KgKaJ0zTgGEcQTwuLDJBQ81RqQcoa3c8ZiKew/n7tYKQNn/E2bbhDJ4IZ47TjGmuS9eCPRXpXw8lgcxCwdpbKxgsDF6xbqgOK2NlcxWcTCAWWad2jw1nPgw4c22FQdUG0jOKmVUAiKBOM450ieIa6q4MoIs9GGJ1s7WiCjAUQiGYaQaMeWrBLYTOh0gE4mVpVvsNMCBBJtLaSxiAkh8K5jJt/HBppWGP04TaR6KS7TtehsHzrQfzXaIBhUlLpLIY4dNP6QyhHllb5znNUHOtDiCz+8gUWkyrhJu9RKyC23EYMB4LxnFyxWHE3pl/t6vY1R3GYUAVQRnCjdEYPhWEoGMUntGlMDczoZv6yM1hC8E9ZaxY5cBXDhoRxtrMqbZ6simZxVZZx2nC5fGIy8MBh8PRhFkV0+w+3XnCXAVzmIwJ4DLkamgoA8pQcvU3+OpvTKtLwTCMGEpxq42tGpmCBUJj9+2N5xmHB5c4HC9xPE6AevT6PNv8D8ZjEpsTOYgcpYI9mC38m8yU7zAJfkwhRvc3wrqvEOyO9tp9V1csb1vbcObJcQaEfPmF7KuvuMMETkSmFJQCuvciaBxRLw/QuYKLQgcCv/wStM7Q+w9NURoHlJfuQQ9HyP0HAAi031lw6TS1BbA3cUvLhjMfPpy5cZZERu92NdMhCtEZMwRaYKZ2ghU/wd5MhrAoYQmtyYUJaL4Xkxta8FJox8tj607ZealIuRYaPqn0JUkzNbFHG1tA4s5yr3lAqOf5Go5798/2pXrcs0XT1hTuOs9mDpsm1FpdYC1PWmaBTCYcVcWDttpqQaTzw7ngh/lt1AItg80cM8g3RSEKbVwtKjpMqItlQUNgo9fJ2uDKY5mjDE9BkgjWgtOh9XeqJsQHF+IHDy9xeXmJ4zxDlTKwKMZkxU4YVKgB7FAw7HYYxx2GsLiEBWYYcgU4DAOKrxaYCYMHcnGuiwDAUtnmeQahRTSLqK/2Gm+HogUYHUspoNl3k4MpekjeD3XtKb3YQ4ifzt0+0G3DGdwYZ8owgssRmdkhVtJ5fP0VfPy/8ecxvfUtfPNv/zLmt76FF3/yT+D1P/fz2L3xKu7/o3+M9/7Br0Hfe4B7/9LP4aWf+5PQaca7f+Mf4Pg7n8MLf+an8MIv/DTqu/dx+Ke/B96N2H33x/Hw138LD37lv4TWZV2JTBPdcOZDhzM3UxjMOrJ8sGvfyoo6VUAI5MI8DAUD71FgFdQePniAaZ4wZ9CJZoGVuPfaHAWEMKFT8R/TwvauYY2x1cQwjp4yNXgQ4uipSKNHRRfXcpE7l+kCXNqzbeiSwqyiKCs/ZpkmlOMxfWZWbE4xT+aAJGYL0oIpBHMVgCqoVvBcAZ5thcTwfOMx6QMAKDZUhq/GvKCMiJqm6ibONcWy1tjjaOnzEJp++CZFNedOvOKZBQsBVRXHecLhOOFwPODyMJnvMOcdWZxEnSgEy1c2mpQM/Bz3e4y7PcZhwH63x343YtztMA4FUb2uCa2vCmMFQCW1ccvtdoHbexU9YtQ6L1cLyT6UZYEtMAwry19EZLuitqLwWvdPhjl3/FHkPwOqt6JtOLMa+vVwZrcbMRwN0gmAEGP8yMv42L/9F/Cx/9q/gq//P/82vjn8Gi6+73vw+p//r2K4c4H5W+/ixT/9E5DjEUyEe3/mJzC//R7KvRdw71/5edSf+BHsP/kJDG+8ht0f+zTu/PgPg/c7HD77+5jffnexP8diCnXDmQ8jztxge2vTpCyX1wI0CPBIOwBiJh94nnMZCgoNVjiFTaihAjxQzL7qjlSSMKX3gTFhwgoTWwhznLeQq27AUewjjrBrkcTki3JCKSOGccAQecw0WIENYotNFZ8qXa5EzLQWGrOaFhnYwj4GQwGUoU1YEemul8ybrmO16mA1NEp1QLEKcSJWjjQ0VUKXDeFAwwTIwqCg7vvUtq86LaOZc1yqj5Tlfg5S+DRyx+2Y+REj2tg+H+cJh8n+zdV3CGS26msigOeIg7vALvLvkYa626OMe5RhALHlmArI3DJuujU0jaxm08IFVtGvMDyNKRaYNlHDUEDYAYCZcaHp2y3IgrhW/I4oK675nfy/iuakjWPNBAsvS9t+3dp124Yz7wNnygDmWMkqmBTjvbuYv/oNyP0HiQ0v/ckfw/67P45v/ud/Bw9++/P4rn/338S9n/oTGF55CfVb7+Dtv/H3Mbz6El791/8lMBXzB+1HzF/7BsZPfBTzt97Fu//538Xhd79g1oUORAyWdDmuDWfwYcGZG6dVxt9Y1QbzqipQzRQkVKBCzkyMgQllt8O022GaJtAlYNt3enRomtLjGUa6PrKXep9jaPbUne9MqYqwFwJu6omtbGNGoj48UwGUPdK4rThMqzfGsElDGp5C280yr32FsCjqoZGD3fxt6uVWQbC86XFEGQaojF5S1HyUhcgLsgyWMuX+PzM+1DTzEQAt6qlhSDdo1G5gEIT8u8ZEUbcPvLOYegrmYoZ7bGwlVM2F0nKGJSKUXZBnEczVlJx5ikAjq8Sn3rlQXogZVNhBuv2zLjHgoDpXwVwVswiGMlsO/jiC2VjXUk49Tc4DQhmMUiqKuMEwl3NGXyoDdjs4uEYJYUJmnMSLZcXzvU6/Vspbit150U1F72mZFT/EbcOZJ8OZePE2AhLqW2/jwW/9Dua33jb/+26P/Xd9FHJ5wOEPv4rLP/gyDl/9Ou798T+G4bVXcPnbn8flH/4RyrfexovvvAd9820cPv8HGD/6Bu7+5I+hvv0u3v1bv4SH/+SzkIcH729XmVDbGK0PG858mHDm+gqDczIhC3fCAi3CFONBOWRKUa2KiQSijKGYP2ccBoweRJKE8aCc+Ip44bl5L9J+TGqp+edAbRMaILVccsED0K6Da+2u/cK1TREFyEt8CiVzi2onyO3+Upf+Q/U0HsuvrggfnCRAWT8sOGnOYMTiTMeOPEzsTO6Ry6X4uJ25or9qUcEUKoMqlNhzzimVBTBAQi3+xefupNDaY1oDISRAhWITpW5nj72YHZjnuWKuM6ZqUclVBFXDNAkPaKNWTx3w6nam2atECNERs0haUghmbh4Hxn4cUXho+fPMGLhAOAr2EIZaUIuvLBzkSWGrDlBXeS38r9oGjeBBai+OPMvBGRFMFmBQutso+vSUjksfTe9unaCKxXNvTdtw5olxpgU/Rl8Auf8Qw8NL2+OAbCwkCt6NoHEAlQIed9DYz2IY4LtwgYYB88OHePCPP4uXP/ExlNdfhRyPuPjRHwSOR9z/u7+K+avfwIm1/AYm7jh9w5kPBs7cwCURWkvThAFYSU0VhAalXlWLlOwNJaZdB+GinkDhknW5gV4p7uoUxF70UWTEOxLmuzbOVPnzRhFtutBm06hkTKSIcqxxG8/hTUG28QR557lmjnUE04jEseqTq+lrDMKpRzOHv8/MlVHxERmxXbhFSS+77isMIUAZFdVXXAxlRiG2sXq8Aym8Nns/9kfObncqNWYMOoUwi9Ver6JdVTRPJwutf6pepGZGldoVI3F2Zsqd3tTHWoEwjdhzPLqZDyX7EHM6et0Kq20xYLfbYzeOGEuYfc0fKGwmxXDLMAEFhKoKuJJlgsJO3xaoFUJsqVQMnsIlZPyeWS/Bd52Juydft3hCe0s9vuV77YbA+2FoG848Oc4cveZDvjoIIGIMXnZYVKG14vIPv4IXf/pPYP/pTwKi2H/3x3D40h+hvncfu098DBc/8H0YXnsZfO8FHN/6Fu78xI/i3p/5KcuSOBxA+z3u/MSPQR5e4r2/+UvAg8tu7I+c3Q1nPuA4c30Lg2v9GXxh0mAPE0HVioGQJrTKCtJiHpfc7cxTSNhWA/NMee++UayYOaqRmd8v+Y2b1r+4KLW2AB1rlnXgEbiEttQmmAnMtTgfEuZIXxL1Gt82TkvRMSYLTT8LtbivNAa0TGFs6Tbq2qzlPhcMxBjHgnEcQcMAIbIVACvEA7tEFSQW4QsSCBFq2xEnliYgEgPNQDlaWhWMR+mU4Ah6xSyFELsgd1HaEUTWtHz7l1keXpM9VkM1zkcDhNmBIIRYAaB4TjrI0p+OE1Kwnf6mDymGYURhwjiMuHNxB/uLC+wH9xfTYDQrAwYdMESUkTEVUCvAxXzJDiVNDtVNma26W+ksPaSE3CRGbR5Y18odOhrSCaWTticzsDUAG868D5yxvQ6q1yxoe0Ac3n0P7/3253D5+1/CfHmJt3/9t3D3h38Ar/z8T4F/4WcgDy/xzi/+OuTBJV7/N/4s3vhLfwE0jnj4j38H8zffwQt/8kfw7i//Bo6f/X3c/dl/Dhef+TTmL72L+evfBKb59P2Uq+UNZz5sOHN9C4Ob5mIjGKdB+m0UgFQBs6amJ1RNra7kpjNBETfHg5A5MqkVuUmHm68HQG6eooD7neyLMAPS+STZ1XiXaSV101MTLFsgOIE9gydSdlTDfVBR/SUfWuwsgnlqOc/NNOiRvL4KaKYlgpKmqUvh1cA8U0JqhcwzZhCqDGbOgg+EBqACJUyhZMOKgJ2qyB3oTJN1tvC5ECdD75GIn0NTbcpDo0dqtyBEwJmoYJY5y9naVq9WIGbylK4Q7KrS5YsjN9cJARY1M2BuuAOz0IIYKm1fDHiEc6wsDCDtJcJQMC5BZKbn6XCJO4c7kLsv4I7ugSIoYAgR5tkEk5kR1WjsxVNBqu6TDHeORTEr2cjZA8hKGe3vMNoc+EugzhW8s7Qro74rdE1gErTTU3keQ8/I2u1VKDaceXKciT0PCOrbQtv5x7ffwZf+k/8M8uAS9Z33wG+/i6/93/8GXvqTP4rxxbt4+Nkv4OE//Rz0cARE8MKPfQZ6nPDgN/4x6sOHOH7tTchb34K88x6mb34Ll//sdzF/5Ws4/s4XoNOcL8L+XaYbznwoceZGCsNC4FxTTP02VgFhOVGAbeReqc2DPtBtiBKKOvX/ogJaywyw65AMp71pa6FxxXEFGG1zkpW2ZdijQGxOovDAqFZ73IJrqhViOVoxkDrbRjKzC3HkYQeQpTnMV/d9qVVVr+gmyAIsAXjVt+SNXc/gwi9s2jFRC7zJaOJYQaDV/QolQXvrAnVroPS/AlELfUE7xPnq9R8i6Epy5SLiBVNq9aIps9FtFlQ4LbsUMIjxDrswa/4PHlDMbjmxPqT+o0izc5jlmGxPASt4Asg8YToeMR2P7vO9gzv7Oxh19PgQBnHxxZ6ZCZl8ntRWHYWcm7PinqVGsceSlMEEeihoOxEqQVRs18NcSXkmisZMFHQ4iZ5hex/iueAkf9fcTpfEhjNPjDNhVbTRxMpTodOM+5/9AmITKxTGg8/9AaavvQkeCuThJVAFzIT3/n+/jcsv/CEgCr08gKCYv/6W4QwRHv7Tz+Lwu18A5gqutVMG2mxpo9KGMx8ynLmBwrB6kh8M805o3FYfm8HU7/cdDM4pqBFxGn9DQ+Nk/PYv/xcCDn8Zaqe9ppnQVyXofJDaES+InSuCKAhim8KENjvPFlBzPIQgzxZ4M8c+6L7bW65KfBywylxmDIiIawDKAFUI1PefD8QjN59V0DzZvUStDn6xu0eebhA+c5VV0baMjfG2lUf7HHLSNP5grsZsbYaz2porJs69ab1owUieFioWZSywQjFSxQO2arejnDG/QNOfatAu2X9Aba46ZchSTL0MjwbNbFOhaRZInay6m28uU1+ouJA7AIDdOGaEvfEaoNxS55JfFhRkPywpzMMwQMQK8TQanUhFk4nuq547Z2tXtg1nnhxnYlyqocQsXwTxArXtkwXTu++lwsRkQddaK+Z33nU6BIYAUUBApwqZq70ol2+qNoehhG0486HDmRuVhuYUEm0vI4pqZfHdBTYCjsGpsYfQNiZlL93qtd1jcxQ0Oe4FO+4fDEjQBA+LZvbOmtrkz+20rAQWPyAwzdajkm2DkgmHwwHTPFktct9AxjRd38lM1SfYKngZs2kGIBEzihf4iG1NCQqprtXyDBJqk+5krVVAVNPSwMoQ3/2syVIXOKMRX70SUqdnL7Rhbu2PI48lhTqTqvkU26rG3SLacqPT3xiCGRaT+O551IrATkuXqmpby1oMJwGQBtLa+lnKANuidoZWV7Y0gtWsx7EjYPj7bFo1I48jqJjY+UM8ctr5reeLRhcFCy0D4orYXDduWqz0NF4coLPC26+6tnZ123DmyXEmYzCggMc4aRhrEJZOzxYQSSUsMCgFPb5f0frVakeqPL5IU91w5kOFMzdSGEArw0YnzCG0RJqr6rZ9ajMF2X/JC2xQmtnbvuxtRcChi6Xwc2rzyDsFI5rW6CkCeQ5paOTnzS4mgJJ+xKOXGT0eD4s67dVXBuZThAWhEMFTfI1ZvbgMUwSp2KTGhiminh/MxftrJAnflpkWObMomNvmNICZ7Syf+ZwWHxTpQJC6+wJNWGip6fdCbT7gM+zmCop4EFF/XFXTPFhVs5Z7qO+qEVehEK3Y60N8t77p6VNwOhYc+QK/rx8xIOSCqKim2vyZQoJhsPrvXAZwMdPtcZ5Bl0cM5RJDKdiNvj2404PFPovTRW1zAlCYrkOxYoY4mMbmQAF+wfNrcQy+7efAZuyE2bb2mLbhzPvAGetd0vBTDx7ixXk+25/EAQRNO0Usj/nYF8pTEqJd7yQPcr34rbfxyd/5vby+PbT9SbeBp4zmQkja3hFpkRFp7oFQNBAWiK7Yk/9ggafNohKWmpxLwmLu4PcNxQTuUkgrk7uQRDQLdOUOw+NoWQ6usHGPsUmXfjEHzLsd/t6f/Rc+kDhzfYUB9nZbaDAKwAmEML2zT07vH/SNVswfHzul+WYvVSwF0IOPmKkjsG/BSs0f2XWoAYu2gkVIjRr+PEqNsu+7aaPOoB5xO7uZ8HA84HA4JKP2gTiqgJAHTXn9BGNSpK+MiEG+Laq4343c1EUgUOyIVnszWQ+KZPQoZNaJXPk0jd6UATTGppgdRRPuZY5vY8gm8PY3NF5zAVs+8ZLJgc7k6/8hf6JFMk+uKLR8Zy62IrpbH+C79BuoEFQoWA54Ud7OyGcQYRx20PEO9jyhoGDiO/hi+RiKFIgqjh70JDJDhIGd11/3nf+qmJn3OB1xnHaYphm7oUJKhUZKE3qQ16QjodEWHS1AMCCIF8iKVn6l378pXlGSu/HqGQVsa2fbhjNPjjPx8oz22jThITPeHZYwn8pxKEceZxVuBkLH5wscsVGFePTYEooEAXjvo2/gWx//WJs//2CKiB1R1XQniGc+iGeAGD3QpVRWHKdjxjNUVxACN5VMubioD/EJeRMKC3SMbIrZsyigQPFNpMowgolx5At8sXwUCrMiHHyLcKmCwsj6C1IF0zxZ8CsTdrsRF/s97ty5g9248wWK7XzaXGEAsQXfFrdy7eYJP/XLv4K//+f+xQ8kztxAYYBHmPYvkBicVdNiBZjWoS9eIJvMVGhmlwFDse1kpbiJJ1YJ8Y9iVzBKUE9FMf1dnfbmwuQn2HF/OaS2p+2lF9erpzTVuWKeLLglzIMRmBimMBAAz+/e73YYd3tbuXjOsHjqY/HNZogoo3BVxRjHt5YFK5TDrdAgUtXOL5WgNAK8shR046Huf9xk0VuzJPTmwXUQUm82jOMi4m4RtnROrM6Panju1xTf2neqFQp73ktlwvfwtzBRBclD3MPbqLBKbEeacBDB4XjEcbL94ve7igsoPr5XDCggPuDVsYBKwduD4p/wPTAzjodL1/jDpGr8pw40dZG/Xp0S/i94x3mm0bUJYa+/Bygzl4yAjq1tU9tfX2cVY0B0mp+/tce3DWfeB874b/3L5q39Hl/f75NMvQszUkoLU9KBuClN+TnkxGnUX18CWzq8+dr3fx++8pkffCTOiEhaVSbPEJmyaqOgCnzrarPGPHj40DaZujyscGY2nJkBOgJvz4PhDIBjnXCYgMvD3OGM4uLiAhf7gqEU0LjDOzvHmeOIf/LgI3j44EHizBCxBd4PqRac/sLFHvfuvYCXXnoJ9164i7sXd7DbjdiNO8N4RaZLjsWexcy4czjgp375Vz6wOHOj0tCpORO5ELfa7GwFA7olQR+QZ0JfCoMLfMtQE2YpgupVxhBpJyHE1MyMSarQ7BXN3Gy9Aih8YwR4qlEGthA14e1HpGoabm8WnOtCU8/G5KWbd7i4cwf7/QVscxG1SN7jESDKLVEVyGptkQrFRF4ydrmaIRWoeHlTIPNwbctbDaNDE15qLEIJnkAfONRelSGwHuzVtRDiON5v+8tEqP2KO65BBI6VpLGI4K7cx3fzOxh4xIsj4fVyQC2CSxxxoMHGSLZymqXND4DObGxj3pPgU7sHGPcXuLwAXhwf4MH4AG+++xCfnV5uMRxEKEyAUkY211qhvjcHKEzWYZFpf4m7Gv1IRlosiyj5sQBUkE5zLAEwhVaDPTdF4UnbhjNPhjP/6IV7+Ge7nW3GVQZ878OH+Gevv47fefnVTpmJCorVigwxYxzshTaOxbd2DmWqoBSvPstW16KUVuWwRHEjLrbduGPaw1de3nDmCpxZDPEDiDM3imFQIpC2iNbY+oLJ9/FicUK1FYLVBmeU4tG8pO6ftipsZRhAHuADF9zBTThZda2JqjU5JZMJKpLpzIoZK2AFk0CZMtcWVvcLkdqYJUn9hUvw/GZ4xTgy3byUgv3+Du7evYu7d1/AUAYcp4oHDx5mVTbvEch9dBHxHBjETBjHEbvdDrthtHur4Hi4xPF4CfGKbrMChQmqJjBcCgY24Q5BLl6WFKFMRPGPBNTOIkFLTb/Rrh23nS5D21UwNToFnRtz2z1ekIf4bvkKRr3EG3TEbtzjzv4uyu4ORAAeBuBwwDTPUAiUCOLcw8VcDrthxMAlzbcg21L27sUF7o0DXroz4cGe8a0RePXhA7xzOeGzx5chnnqWuriDVrhrCgMDE3aDgRu7sLGDcg9c6tp6b+UjIgzjAFWYO6UURLCYRpVBp1+iQdv2MFfBFGs7jeNXNwr+pUed9eFsG848Oc58btxBx9FXugPeGwZ89aWX8Psf/9iVOEMQjKVgv9/h4mKH/d52bVziTPHKmaFg2ctzGIZUNuKcCDDlDWeuwJlWQ+GDiDM3qPSoAHmKSmhdiP4SAPcxUvj0Oi1bw6zYBZoxm/av5teuvjUzo9PQfMDc+wu1ywxYkSO1+zSRaTj8oMVMeiHwcAGO3SG5m1QuBZxBe9S0UgDDMOLi4gJ379zBi/fuYbfb43CcQMSYZ4uktUDAZhospYAYTZMvI/a7Pe7evYM7+wsMHpD18EHBAygOcpn52aXOEBlAUBRiXz2UtgooIZy9QK40WVC3eiI8WmlokeR9URsDZk2F5x4u8Tp/He/Se5j1m9jpWxAoiHcYhxG7iz12+z0AQhkGgBkPLy9xmA4gsmIoZSjY7/fNv0gMqAHT4KunYSjY7faeaqQABHf4Id7GA+z1iAdQfJ5fM4Fjwv7iAncuHPQKe7U/u884jiieE9+P2eY2aNGtCx28ChdIsTm11U4Liuu1/KCv9isCBKSz1QkgrLj2jKhhPX+3qG0489RwhtxK8cLduxvOPCc4c+7l/EHCmWsrDCKy6i651uzHSky0nvTUIl4VlTwCWKprX6a9RiEjIFbDIbVY/L2ywASd+eorj/ZC0LYxaCrnimFQjKPtgLaLKGb34YM6pndhHscdLi4ucOfiAnfu3LGgl6ONZzoe8RAPUaUmyI1DwTgUj10wBr7Y7/DC3QsT5IsLDGWA7XCm5paoFZOKdTRShhyEksk50qgigKtN/mKMSZO1sJ8BQbTf4rz+2Ct8wEf1HagCO7rEC/UdvE3v4F16gPuxIvA95ve7PfYXFyAeUIYdIjDrWGf37xHKaOw3z3O3/TBjGEbcufB96YvVYy9kvsDdOAC7ES/VET9IB1zOgtf0XQjv8aXx4766shXTOA5NiF2wWcl2OISu6LA0Iy9+00hrbf7GiMpnZl/JxIzf1jf902kbzjw9nGFmXOx2uLfhDIDnBWeWLPdBw5lrKwyhnUV0MYC2XSsB5LsetQQfr1KIyPs1E1Dks9ZaOw2HMvo0tf1OmBUKVkIfGxsfGtM2zg0BBghsymRz6QNWZIMZVAVWAMXqbsWukEqEuXo6Uqf5lzJiHEfs93vsRtNwx2EEU0Gd7+Bw9wgiwvF4bIwylASTQsA4Drh75wIv3LmLF+7exX6/s82jakXd7zFPF5B5dj+ZWNyChpvMTHRDKbYzHzWN3j7qQphPlP8OmHrTGHIe4nM7j5nxCl/idX4TF3TEK3gIdX44yJCBV8M4AkRGm90O42i0KcOIUtzUJoJprjhMRwDISOXCBeK7cA48YL/b44V7L+DO3bsYd3ZfVcHAhLEUYBwA2WMsBXel4g2q4KHie8ZL6FDxRf6oz9MO+/0uXT/DUEBivs3gzeYr1KUQB58H7WMl6lq//Y38fpeILRvifbcNZ54ezhRmX5xsOPP84Mxq/B8wnLmZhSGKUlAUB0H682xwhNCBoJwQbLm1HvF6OGCeJjOlsaUaxU5jQdCekbKlsFJ7NuAoEgaZZocJ3yY8ulhjRUFmtmQ1c2aaCkuxYESPip3qjNh3nkvL+x/G0bVIC77SKmAQduOIey/cRSmEw2FEldm7bTRgAENh7Hc73PWVw8Vuh5GL5f/WCvao3P1uh8KcATWlNK09I5uHAUtR7Hx/HWOmpo8mmFeZxto1hFfpEq/SmzjSESO/hxfLO8b6NNpciWJQxW6/x8VcPd2NsXNB5mRwwlAKLvb7rHJXDsW26XazKQFQtviMcRhx984dvPTSS7i4cwEwY/aKVzKzbfIyFDD2oP3OTISFsBtGfPdQoYXwMboPGXb48vhKA5bBcqWNU6y0bIzVLdh+IEm51PLVjpuP1lI5m7l1TctNcXjStuHM08OZwozduNtw5jnCmV4J/SDizI0UBqZiPkJnKAh7XnK/GQal0JGvATTKoR6OOBwOmI9HgBSlMFRt33ericmN4YiSUSNgqFE59bYMGGrkbGYuIgKLQNjWEbFDmEZZULaCPsQFZRxQxjGDETPdR6zy4jDEJiElo3alVkzTZD7SwSwHZSjY7Q6o8+xpUr6piVpw0cV+h4v9Dvux5A5nWivmebLtekGe1zsiIppBsIAiT//KyGUXRqsvEP6yZeAjMRb06DV6o+1ynl/BfbxG38Se7uMevY0jHTHRBCkFSgyiksFoSsD+4gIKYNztADYQ5GEAE2XhFeKCcbfDXWbwMODO8Wh1FZw2czXAGoixG0fcuXOBu3cucHFxB0LwVZhCa4XW2YK3BsFQPFKczec6+oroFRyAInhlvI8vjS9jHAdbQcHN20wprMCJVdW5iEEkBuxiUcukFljF7Pn+ulxRbu39tw1nnh7OMLP71zeceW5wZoUVHzScuVHQY/gSw7xnKwE1Uw7899SwmwpltQUEx6OVRK3T5LJvQTaLHd7QFQQJCmlvMHbhbfbjrpMBHUhGRmiWfl8wgcCITV2YGVSAQRXjuMM8zth72tMhgosA3wO9IMxySgQVwXycgNEKfFgOrvkS58kEc/Z9zaGCgdn2UwcsCrxWQCvm6ejnm09yHJpGbKS2ymOD788epqysbJe+r3VJaFupxaph/VvfXsF9vIF38QIe4kV6FzPNmPxC4ohOLyAeQKL5rLq/AHPBPFczmzFn6k9USGMAXAbTwvd7THNNoJznKXflYzU6j2VIoYu5HEqBjiOKAlOxXfUigpsJKIV921kz4w1M+IHxXbw8vgktI36fPmJ8JLkeRXsh6NranPw9DIOVdxVbLdAw+hyggTR5yVZbal5HmrZ2Vdtw5qnhDBOBVDaceY5wpjFXx0sfIJy5WWloNCWHXDNnr6LnWyOYVp2kMmYUwLck9f3MVVHMZpeWll57N1FzzRUAVFxE7VcDk34lEPbB8ANFr8n/n1LfgYyTnKI6nP0+DAXzPKBKRTkOOHKx4CIywdHcJteYosqEYIrdbjSTIwEMxeS+PmECwSKiCaYoTMcj6mypRHWem/nUn0Nouc6myQPj0HKiY3jsRFOvXR4rJ4QZa/W3F+RXcR+v03tQVdzDJV7BA4gKKjUaBb1amWoGsW/1S4T9ztKj5iEY2jeIcVtcpIAN8LQsYh9H8Tr5xQoteUASkwlwACgYBloABupMpKqZ4mUgxxh3IwZf6gxEKAX4XvomFANYCV/ARxBbe7Jaqe6c+4i21+BhAy4dGCMXsFgVSy0hyJwryOCzNT8G152zYGztfNtw5unhDKCYpxmHy0sAG848DzjTY8IHEWeub2EgC+wh10IJannQaJOqIIhr/ATyXdoEFWT7y3NUarP0H4oaAl4FjVVRCBmQZJSrAJt5rwV+BKHs+aqWywwgqhuhVRHXPJxDgUcyJyrZFzODWXGSKlZ1i4kyeCoUO8rAqOqm0BlagTo5imjkKhdjGnIYEgWp7YsQ1RQBN4VaeHKCF5NH+LLVLi9EtofCELnQMI2/db/VxA8ghPVFtRNiEF6nB3iDHuAlXOIlPACSWpTVHRNQmVDUKilarI0XkVJb/QylGKCwxGyAiKyMq3jeuVSjj4Yvl4wuAMxeW4DSTL4iYibl+eh+1JgLgAYLCiNb6iTY7Tx9qgQI+q3tc8Un8SYUii/QG524aa42e2HOF4ASmL08L7OFOZQR5FXblEo8yVYV8WJC/G0viP7PTdqjfMAfyrbhzFPDGShwnI44HExh2HDm2ePMEgM+eDhzA4WhZLEKAF4OIyJA0XW8RQETfBcyYhv8OGIkgRQGQ1CK5bSqEMS1uIF8wyDxdB/4AygfEkegvs0pKJioRT1rN0nU0dHobAyQOho7wVwYtAwoIqlVFmbUeYZVYbT79rtIGugI5mkyYYQtQdgfLkq+gNU0e2YhkNCwOyGmEGLfS6IweZ5vKy1NTm34fQmUNeHbSE2Q4YL8Ku7jo/QQr9IRr9IBTgrP50X2MVdhrvGzxhaxHc2cpsyE4lRX+AZb6kVstFrFNcBWfdK2IjZTIHL7WvHodniQmAqhitEeWkCj14Avg1uhFVALBBuiWEoIe/a/se8IwffRWxgxYwLhc3g9f2tpdN0qMpnM5qWQrehQBijZHhZEBarrSKbzTckoex1D4i1TEZZtw5mnhjMAcsOrDWeeE5w5Zwb4AOHMtRWG0ILTZ+d+xZ4BrRdh4oXXWLfIYKBaakwBUAqIxIWEwL5bWez4RkDWk7f7wLYTyZKwMeD2YIVdrxQgQ83/uKJOmMpCK4s8434pQCDwYBr0QAUyDphrze1NI9CmBfNEdbdutaqheRqbEwW7u5BQ89ulECNMhKbRDuwV6bqoY1vc+L36l536jbIH9ttruI+P6CVewwGv4whWdgZcmslCaY1vTATxqnmZyaNhklxqpUTkW8y6pkxuWi3q+9Ua3WoVF2DtaKgpTFHbniJiO18YBr5DCTrA+AHiNCrgWEli5eGjWBEpPoW3MMFWKJ/HG4YHDs7mO3c/eUBioBaZz1I9Pap97phroaXr4qetXa9tOLPhjD3mw4szbe4+eDhzfYUho3bhdjdFbv6DNuAcONSihUMoilXAIiVgGECoYKgJcpBNzFcjUb1MAdtkI4LSgu2cgOQTsN5LIZmZztMxwadNUKQ9BeUZAgGDBgMbEUapBbE5lEgEUWn6mMKPFkyp2SU7B14kpW0GFZvgIM1nBIDZnlkyyjkq1jXQWYxrpbW+Tu/hNTwEwwKoXsMBr+GIggLVksKbWrhqHkOAtZsMYyto0+rb7zGuLAPrGjt8lVA0ItcVILE5U9s0R9RXhElDN3MytQpzhZupzwW1uABbuVUGyDagiiprpQQUNvlZzr+BzQjB9+k3oQR8Dh/p5sgFuRPqBHp4oBUzpM+pzgf1wtxbKgjrXmzt6rbhzNPDGZC/GN20veHMc4AzTkTVDybOXFthKGXwSVNEHXe4EIXGmUoSHHjFh0BGCPac4tDiCoChhHYMaIVr1pxKbDKdknESB9HJGfBUWCNApD9OJ/9oQd9Gbp8+bpqvFk3tNDYdEWkzLr0mqwKp6u6G1h9x01Zq+akwUBOGoDW79u9CnjXc+zQmp8EbeA8v04NkXwLwKh7iFTrAtlllFCo51eFtNZp22qm2v7kIYgIpwwzAZjJUcDKrgkASUe2WPkZen51QgWqaOWDlSpmtDyKCyopaatZzZ6f5OAxgT+cyQVYTcB5sRYAYuzhtCnZDB4gebRQrL2jEJ7dVFwgYSPApfRNCjN/VVzvt38bYsJEAz5NWT3MzMzO7BbYT1AA4WgbkxX2ou+vWzrcNZ54ezrCnAe7GYcOZ5whnfLI+kDhzA4XBTTFoJi/bJbEpPQttKLUnzd/CvKJaAXD6zYgsSEdFAa+vHiYbCSaBC6i2mzcl38/oQOWk+YIhX9YL4ptQdpbCFPS2MQ2ZEAtQiLxfNtQoqRrBV21V0DRkDUEOIYlVEXVmWLT+MZkwsws1E+Ej9C5eoktQsofiNbqPF/VhDtPuYcwHgvu02t9GDE1NPydM8wbN1McKBkPJ/LhNkL2xulgpigMaK0BcgYkAVDB7sVyyDokqRMw/CwGU1DV/WIU1pwkxEMp8q2Pf/IeFgaGYbzFWBeFHBeDgGUP2WeRgH8IAxafwJmYIfhevJmVa66A/tH2P4G4vgU6QF9dT/ndTE67fNpx5ejhTmDGOA/b73YYzzwnO/CHuJGVa++DgzI1iGEwAmvASmg+HEIp5UEqNkQDT2qMRuQ8RucKOSFyU0KS1mQz1ccRw4c4NYPzYQp09bT0vkv+HO1SKl3nqkr4MUTZ/o3QMg5KLgBak5CvV7KJKCnIChT/OyrkSYvX0MXoXL9Kl01nTp/sG3sM9ukSYTCOCV0EJRAFA1I1rXUk0gSW0WF1R102FNm4HBiWP+O7NZHFjDSU7/YZZ6KRUVJXsSOwUED49+F8ro6ueOeI8xkgBj6kJfmGwB2z5jnoUVeUiQIzajodARo3HDnYg9RQqxffim6kwNE6LiaI8GutM0+x71KcM6OqQo6NTd3hrj2wbzjw9nGG2IL39btxw5jnBmVAYPqg4c2OFAajtZee/9SYQJbgpJX41olkCdQhxMY3WfWrM5MJum8OY+ck2WiGyyaznhNLxIoS5CyHBI4U4Vy9YMD13IEA+jrAEgAAeiqf+dKaoWIUgGJkbkwZlVO24CGKXNgLwUbyNF2jyAJysao+P0ru4hwMsB1zTPGXyym4i9Tq07q8MLZ7ib+PBEJ3uv0uo648nxShcJgFinkLFzYwWK6j+HqoeuVwFhS1vWkSRaeXEzeea8xifTMxz619yClJmsVkqV/GIaffBcvAQtSjqCEgg70/4qNnNlqLq8wEUKL4Pb+L39HVY9H1AiWn56m+k1l+4yZryH6EFaS157zwPXtV6v+1tbBvOPD2cYbbgve8Z3ttwxulj7RnijL7pit0HE2duULjJ2aXr18IMmOJtxAgJiYmmbsBwvVjE5Js1zGQMikCV4Aq/BxOhc+fFY1ODVe2EuKO40zz9dy0Cu/U3tp2NbUHZGbhFFrsZqpTUmsPfLYCZu9COW9e19SCOq5UB/RjexQs44KN4F/d4yueHOczGXFwoNYHEtFpxhmOfFIaqBKmSEajnIwKU1HLICZ2fcjmLMS/5OLa5sXuXUL1xljmJcuysFqRUSsFQXWhi7qhFjYfmH1KikR6nsbGDgRSFILNp/CWEloAC6mgXdw5vqB2rMFOujYstYjqi76FgFXxS38Tv4Q2nrfqKpzGaASX7Z+exmKxM/gsqtr82POd6ohUDn7bbqihE23AGTw1niAjfXd4DD8OGM88RziC68gHEmevvJdEJSlT6ihS0NBd2ZpVe+15Xb1PAhVhRqRVkQT6h00pdiTKeWw7SZNiBQjX7E5TU6KULbTB6/xmAB7m0ZzMhTU9RGtUCtY1Z244iSI1WPGVLAduEJgQ4+xrTyhhQMGDAt+h1XPC7eAFHZ1YHDC9UYzTtxyu+ZWoTP7OS9uCFdh0FLVtaWh/UFODQZqUBNcVNFA2iyaVpZT6L32K3O4U9SxluRjUuCbOdun84viOP+8ovBbl25kECGKbxU5tH7miUq7ngi26ImpHujAg3kgRzXbBWFrgpbfOXqD6HvCK5yMCpPXrVnBYdL/bPeVy7bYWbNpzxsT8FnGGyrJFvjRvO5ETiGeNMrzZ9AHHm+haG1T871rRnAH2cEGz6CVGKIwdOYRLz6mVqIFHWHe7H2GnRC+FW06RULMJ1cS2d66H3bM3g/TGCR2h7IBJHHjM1omadcBeq0GzFNz3k1s8myABIQKr4Fl7Dt2CmyJnu4gUcAXI/mvf7I3gb9+iwEDYjAznNDEViRaZnWaiNyVwhSxpcxUYE01Kjfn827gORGlDb/dzEpjA/YWmcLd5vDpqEWTeXA0GkMPcGj5hTMQXZacTd8+N1Yke8T9kPRXBe9pTavQoRKgECxhfpVe9b3Nv/JiJy+07JPfn0JS17A+rWbtI2nHl6OENEeKu8iq8MH9tw5nnBGbyBT3Y0zjF+QHDmZgqDNmFSBDO01I4waTUtN8hnTKTBrJ4ra1GsJupZ8FPUTV8R4NL0yzBFAeq+SG3o4X+jJ9DexHZ+RJT/C7+iV1yjMD81TZk9hxoAbA/SjiYKAJxRy4spdJUwr9Awf9nxt/AqvkndxLskXGJvggw38QF4Xd/Bi/QQIgZiCvItfc+P0IDK7pdCvZ7Uk2u6WaMVDHY30O4Q0HghPjedmpxclMNrx7uVvQKRb48WspR9j/khtAA4m2dB51E0Eer4L8bC3rFYLRJZeeE/oFfxHlV8ES+vRtWEWV1ws+gOubkw+b/JgF0XKxcbg3onFCv6b+2kbTjz9HDGYhhsH4UNZ1pfniXOfIl2HVE+eDhzg+2tTTuPbTvVU4ucvgAas2r3LX5WhFmnnawiqC6UJGYyVD8uIgkZC40fcK5R1zStE+ITShR+Rhdi114JwWDxj/JvpBaFCSo+W5SspdwQt+CknvvETZRW2tMEGQvtcUFFWOhLW5FEHwDJsQDAm/QS3gSQ4dsAHugFXpSHULaiLkqCV+ldvID7C3o3hmmab1bO62i6aFGuTrFgy+4E5CQQ5X3jsPq9qWMGi/I17b1NRccX2vTj2OOnGXIBQgRaaV6vjtlNzLr+ofFkXJMCTkgTpc2jooLxBXwEDzEBmBEjD+HM/hDDuXf1PPJr/N4U39psKHCGllu7qm048/RwJgI9h1I2nOkf/wxxhvW9BcU+aDhzA4VBIOxajVCmolgVNCeZO5dsvrUbJpKZ4L/lfKuiik1AmJKijCcgSyUseCi+pMmpZz1NJvJvHTVjmhobJJMDixxlDqFfCL+Pxxk5hkGAXSBqzw3Fb2H+TH06RCsWECY4K7UwATKEhoA39SW8SS9CtUJIoCp4Bxe4R3cgKngV9/ESHua10feg+WJFtl6hdF1u1ru4Bg6QAX9GgyQpdfRPOY5jFgXUNP5OQ+5oG//peaRXqqDarTQbX7XXxLLPrV59f5qdxwpMyvgSXs1zg4cpQMNpHz7vLPMbqxNaGimXfVh+X/+6tavbhjNPD2fimeGG2XCm/eeZ4Ux32gcRZ26mMMB8hS3y14papJwIkFOlHfDCzYOAXc8AqhNJ4Zq+X9kJMrnWS0TmZgoTTbSQJJeCFnASPzfTv64lJRppxy7GoEvBRf7aCyO649HvyDVe5COnMKf+msp8/BTKcMe2foJRVqmZvNYC+CZewNdxB0qKt/VdvIwHRm8lq8SGy/SxhRbdJLD1cdllOnnOeUbUjqTk91kBaCci0jgleSOMpIvrFmSgBIvuMHIetNEmQCbypPsUuH40VQm/r6/j9+UVxEY/Acw5C5Fv7YIMIsRmR2uuCBr2Y41vlN1fIOTWrmgbzgBPC2fyZb7hzHODM8v7fvBw5gZplZaexOS1z8ViU2yfFp8K73VEOvcDyUCVnCECqKR5TSG5B7xE+o7Co4bdl9hLFrqv3geFC5KeCaRZXoqABILCwmzd16jINJiQJfPRxTgDUGKASC2zMYHTrKcfuusB9HXpU5ADdKhd3QQvvjWhXIvXW7iHt3DPn0F4Gw/wKh7iVa/xnoyvXnO97+xj2hK+uktpOc8+uNWVS0GKa7qfF4JPnYC21QrlrfPuSXIX4P7mhNbpMN+qYlbGF/AavqCvGh18RWRmWs4ZitzvFuXdWgI14cx4cyBbe4K24czTxRnqzttw5tnjTLzM+3iFDxLO3CiGQUigJJ5ra6weQR4ETYa0Zpo4CUAUMcwMhaCEv4ljR3qGbRxSEVXKeu8XWd3SrMSl/TO0CVYrSdJzijNCVmjzFT51gkoKIgEJ+QYgBRQFSwATdN/QJBjCeM7u7aM3Blx0cC1s2s5ZkqoJtjNGCCwpITzr8L7qyf01/9c9Cm/RXXwT9/CaPgTLN/EaHbqHdKuiBIt27yZAQc9mqqOTAfhZTtDw/8FpokH3PAmr53SCqM2XmGi+ALPV2Hs7X3xwZSx8zBrAIIpZgS/IaxCtULVdAXOPD18pMswkGJvBhJ/ReJq6v0AfGgU0bsjvMc5VF6/bbptRYsOZp4gz6982nMGzxxnNMXwQceZGCkMlM9+J/6tRCAVA2zKWvOymByxRaM3mfots6lY8xHcEg4C4QKUCIqDQ/q0aipsKXcPUjpl1qQCSM102AtLZ59XLiMzfReG/UvEJi1U/udBL0xqzTHn4ybTdPq9L/RRNE+3nro9qjV+61UKsBPLazmeXgharkqYZqwftLJ+liBXNW3LXo7G/idfYVgBNoe18axrBVfY5IrFjnqzsWAOf1v24pic7If3OtPTf9VTpGb/PF6YQ0gQAf1HkOdLdKe7vc9JwyT4LoFUxieKL+qIJca2561/PTAy2vOko+eZzDli0cwYmJQjGTHfm3CTQedrg5JytRdtwBk8ZZ7qbYsMZ4HnAGVMWPog4c32FIQiuAKn5uyo83xeARe+y5a+yr9Q8qo+L6UcV7HqUCzFMUsm3ESVWqDIgFdUJ3Px0MdkuhF0QlDXqTlOAWqBShMaSBjOIM3k7vVfRLN2qeP4u+TFt4z9LIU2mvqrpVb8FCuXvq/OCFmf+5el9/wE0X5f1+y19AQUFBd/Eq3pA+uTSrtnfLz4Hzdu9QCkup+OPbpyZlgYbAQRu1s27naPqUsga7dvxviLe4tEu5yn8KpiV8fnQ+t1/LRnD4H2kjib+va1iCEkVjUf4OSc9Xx85hfWtnbYNZ54mzmj3DxvO4DnBGVfaPog4c4NKj60TEW1LHUHDH2ebbqiXWHVBdr0apBhiO1clz4kmjIV9q1UFpAAqYK2e++sEh1rZNu8BEgy6pvBcYlocNJ70SVA3RKkiPGw2z9p2GIuxKpLZumygjpm67vTPXPUrlPqmn/fHT/vb/zUR6gQpf+sEOo5El0JIQYtbv4UX8AomvIZDatt9hxb36wU5z5BudRXLsP4Z2kZEafBbkGoxwoYhrT/d+BY4tyR2XhjpZa1k7/I26r/NSviSvpzbA1dR3/1PF5TN5aWXdouAJD3DU8bxntnfkSFmdFMNbt42nMlHPAWc6QMrN5x5PnDG5+EDijM3KtxUfXKD3xsztihRKHyvcv8HG7BALXgJBLUNxU3AgmBMXlddAWVACMomvFUEJIKInLZGC9OSBa35lKtPTPBC+gRN0G3xEKDjXY2qamwdU9FMYQL55+WrZUmc9F3iLM8B7rNysEM89+RmKxZIDd6prdrVutfFv5S99U2dIYkI7+EO3sFdvKKX2XX7q8n0iiYgptV2A3JQJI7NXboHejnXhbLf/bygnDZ4Cl6woa7pqyfXnVKr44M4x2kbYzoq4/PyBkRnWGlYZNBbH9kegtsXT1lHjSV/nekpLeYEODfDW7u6bTjz9HAmaHY+GmDDmTVxvzM4E6T6YOLMDVwSQD8zEX7TzIcWmBTeshBSgtUlt5ragCibJt/xvPNGp6mSCbTtYwtWQBgIUWjtVJhD8W9y7QFL3e9xhajmjndqjk8zIZGZFVXEAqHUAKWTpeX8EAUHnR5bLU+aT49O51hjVO06PWFsI25vIltqwO0eYSUlIP2+38I9fEELPo1v4CVcIjTetbD0GnVTaR3kfEMVm2x2kCOAwkfb3S98sWf4OVlduyPkvZF+XuPyAOdA5TD9wuarvyBOEWBS4Evycm4JbEDo2wN3NHNCuRB3zuwU5CXIaqP0av41AWprN2v///be9MeyJLsP+524773cqqp7KA7JGZo2xZnxiJItG4IkSzIsWLBkQPAO+G/wB/9HNgx/NKAPhmHZMgRrgyADhgWbIExaw0WkKJJDztKz9HR3dVW+G+f4w1njvptZmTM1U5mdN7qz3nt3iRtxlt89ceLEiQ1n3h7OhIQuXSQbzrxbnLH2PkacuYeHwe3VBvYIYDsCGGPjV1pxuSo6d41za9tkECyCzkYzsVW0RZjQCCQNkAnOwIUj2Z5SBY+CvgLVarVoIxY4gKcZY6s7ESzwjdriO0qEdkhhYW4oLyqS6CmoW2m4ecHttJgp6CfeX/uLzWeYU4mxEEYTdmKBNKdjKvp35QrP8Qov5NOx/eU6rcMT2xShtQA0EbasM+ZwtWAlTTpifa9L1KLLVt8C+5ZWv1h7gibWLq47zEleF+0s4EaGv9dM+B3+KXTpRjsNuuIABbL/DYBCmXEymBtLqvLyWHw9cV1v5bay4czbxBmvY5TBDWfeIc5ULHiEOHN3g4EAWIRvczegMERaWKruXaMiHD4S8BXIKSs6H8MQdEFY1lSYUrTF5ERrcUUDerQvLWoK5oKS1C40UlgXJJciAESmrIJY1C1iAlyXCPm9lVEuwHloYOHwIyOe6/nU/eynWqmcQugZ6pxOi9HBsMyHRd2jzZTfdlH7AZ3jQ5zjBV7VGwP43F14wgsiCOuQQmJ+sdnSNbEYL+M4SQLaUpaLFic/JLLwucvNg4kIGNrjchKtM3pQKLKxjQXcG5i7JgWyFweLvlxUFn3JEo1trRZ/KL2DTuG5UM5LL8tmL9yrbDjzdnHGl3VicX7DGbxDnMGjxZk7GwzBGHDILtXWmxIWKtiHoDJMgFB4QBWdRWI40FxwSHSP9FBQpJKEcCn7XbXSfjOFFhuLUFFUjPR2g7NajGzLn2AWNhPQhDJ5TGU0UQhawEN1Ly2eNZakTVzhwlmtfc95b5/xO4RZBppQqVuv0Zzw2gIFv++0SzzDM7zApyf08HFKwEFRmKgXGswDIoBNkZtGoKNNaJPLhod8USh20eH4EsFETpIAKj+vJ31ZkyuufnD0n8SVGhZ01PB1fm40E3QRdOYYOemlGlDkkWlUDAffHc9pkq+GurCtsjT1ofI5QGBV27eSZcOZDWdKvZ85nHHheJw4cy8Pgxv0rq6hKNZMT2zCdd003JIi2zVOrX0m2D7hOj+o2V61w430TnF3zaC8QFWYVub1yOrw4YYAoGaZ4xrQ2TcEgSbLMKu0mxXHRGjqgUIn6C5nraVcuZiT/uP72JcVvtBtdZ1IFFa4Wsq3M9EFuWYGY+lgYXTukG7KLMX6R3Q/6yjzkkSmcNCENQRbvy6CH+BMrX96dXJvM0cqBwOMy/Ywt55VNgRNdA6ZmqDt7JN8xGURvtFQKTqaiurWfSpjAahcSh7HfSQE4VDeGCGwgDvjUyH8c/kT6E7HLugWjGS3KC0bQTAFEVtrxvtmOk0jvSmkcJgv9iJrP2i8ZiunZcOZt4wzki+R2qsNZ94NznDlzSPEmXt4GAARt3Z0nqxaPoSIHSolRwaSoq7WPkyxGtCJ0ISDUQJgEkTAks9b+dbQsDaM5KrqJEFtZo94tsqILOGbbnvKpILNzGDSTHAEWKpYAnE+ym23JtD5ThCIW5lGS3AYgcd7JaNFuMJXH4VA0kXInSG95/IcKZavVyRLWHA+SVjvrj0iDBLge3SJb+M53sOrN9ujUnvhoOTuVVN4S4wD7gBPiA1USgUVDKLDhTzu3nSCR4CZEOCjHajyQmz+VMRcqpJ59p1+ZeTU7c+3OxYiMOdSJpc1am0YuBX1jeuknnUFiEXZTnn9sTpC2MqNZcMZPfY2cEZV7VTyNpx5dzgDwIzAx4czdzcYKvFTqvO0uGNJTW4hS6Fa9M4DfxhibjfKddcW4KQeQwEamdvQyEDunGlAY+iEZKHhSXNNcKu70RUZiDnCBgtw4QYm9jRxOgJolpLWE7jZfWwK64pLTfutCWhJU79S9l1Iok+0aKX+b4pPpiQmbMId3Du4z+h9hrszq5tMO+NKipjy8hFZLkKGo0T+gfAJneEjXOA5vYIHQSk9Tg1VcVoZvz17mbKwgSzCTIgg1I3GzdL7yliRy1B0Il21YFXW9DILxOZ52VKsurWv3muOOcWMntc10d/g5zFK6eYu5FjuZLR3KSJSHpkyxwiqWvYSDwgar8Axxou3cuey4cyGM/gM44wz5pHizJ0NButSBupEWTLIm+/KbopkDNfIZ1KrH+qSg8DWRUts98pdz7emEbEezEROnEYog4Xy3NIOUTI3AMwCai0E0d1YMk2qPMYQ9tBqqHKrRpubyNruAUsxDmI9JkQgamgGBrFlqdNwyXFTysEarhY/dzBratHeeyixVB6QR44v2LEiP6oX+R9B8D16hg/ajPfpWmOvSLvMZOHkon2obs4KKJ6QBKJzlzrdTABmbUabfBgVSiPOHOSIJNyDfoyTJB6QJBD0ziBwjALI7zfL32OJWIBr3uF38Hl7YvabxUefhW4xl2hzpGTr+Eu0OwddxQZ3J8OD8l1+Ujr8mSobzrxlnBHZcOYh4Yzz8pHizD08DDy0yxUbQAgSLeRJ4qCeiNwk0ACf7lY26bxTNxeP18cgEAumSXO+Ngd0WJgaufvQH3pqg2lbyrwjpYXYzKUnQmAwmM3iY4a0ZgKjCtrsfl9nLCB4Rrjcw5xAxPBoWD+u8d0UgTQoIyIP9BERND/GbFa/BhF55K3OowU+ap1FYAhLN9bNhbx9sIF1U0UTArhZi8XcjEOtPpJwIMo+AAJ4ZjPRILNpErRmbsMiIDl66dYnjzy2DhaQFhuF+KhIr1V6RBSzTRb68iRGKiCAkoTGwMRpPSgbWS58ZLQc+UVLqtLpt6K7snLHVu5QNpx5ezhTjYUNZx4QzuDR4sw9YhhuapYp8eKo51avRpB3zq3rblLZiCBNQNzRAZAxV+mpStFAwDSpNU2MJs2moLTmlk1JxY3GKGAkP8SYDbM69SQTQB65xKztIrfqEfNNAQpQizXmo4AQrHBFmsuJiAAmC2RKo6Eqs7cno5NTiTv3anoCIHXNLeGVqKgdub6HwrqyO8gQEV7iHD/ABZ7h0wELqdAuLGOjnLo3bR5PG24padmscA3m4knQJkZrU9Ah1N7XeosppvNQdIRVf7sFbjfaiMNBQy3/GAo6o6KClN5VKTYe5xaz9aoljdfA8vSa9eu28uay4czbwhmX/Jxr33DmXeMMjcwtJx8Hztwv6BGxcOX0nGhnqJyvtqKUT4HO7fiWtN0CSOBbgPq8EQS7aYfGDdwaNJ1KWt+NSAOIbPJv+bz413TTU7VCRDO6iSu0KgVx0+yuFsAkZNHRraGxWKIxsVGBjX0EMSoQqQqj7exiGd2av5Rg+kanZqeMyu0WdCiLaL1RqNwfckjxU0KxKZXZ2xcvR839fimv8Qwv4aMQ7UzWFi5aAhAb/BauSmk/LD8/C3gHTCxok87BNlufDUJxkwrcXejV1uVP4sq8tKdtNODuVTh7CejS8C08H6/hNNQGssOBrTl6JUErfW/QSrnhmlNl38pdyoYzeDs4U7BkQcQNZ6zanzTOjNbg48OZ++VhWFEYIDd3IcKJcCoznChuG5q7UGUFTOkuCxDojImAo8x2ZEJrhDZN6sbhZtnFyrwXuVCNFCWoEnOTCCJqLGBf8uTpZgVoHoJtPOcGC3xSNNBgIwTDU6Hd4qa41xXbdn9Fb7r8yGmVcJMuMpGyBlokl4iJtlWQFnz02QCCDGbD8DW6K/Al+KjFDh2dAWFFi2e/cz6acinnzWkYdeqOgBw6POZLl1hiNYfSEzdgktLrynPjVygtko/iz67XOqS5ArqC6tEjJvxz+RmtjkVD4Y0pbI9gA2uhCUSTAfQEQdOAqEb63XiprLW4/YIJ8dJw0QsgqM5KPe+O7bWXYS3LsLWnUzaceVs4o7aRBfBhw5mHgDNCjgCPE2futflUqkcL9QVUG7VD7MG/pRkUn94JFYxUWiWsRIBPazswOiZqOB6vVdC4azrxqWGHZuY26dwf1NUYNZuryQHESar/u6CTRVIn4QRlkxhyi57UioVbzVSUJ+si07Dot2sE2Sd8GY6LoHirjBqSu+aZkkfUrX2meGguPH8uEWFqTUfIASwI6WsRV90gQuBuc4bCuvc6CD/AhO/LAc/olSm100yf28wjEpjpgAgyMPVzLfWJBUwM6l2f16zfjidAWOxVxgZ/pTg8unI7mDhwNlUtsujpRYlREwMkLROpgDQbXZuAtgPaDkIT0CYwmg9G4POt/pJQGaFUbimvjKXuFWDz/hUlurGc5P5/QmXDmbeHM+pK1/iEDWceCM7YqpvHijP3MBgswjR/oUX8Zwb7qFXvTPFQlmKdQWDTjgAQiqNZ2CzhCQNCTa1NATp3UBdMx46+75hsFzoyNx6kWXCSRhrXxTVU22IKCiQtqy2ZAETl7nIDQ5cutcFWNV0lnQ+zvgmyj7HOyyz3nCPz+TQO5a6uQrD4MmC9y5QWBhr+kMr3sLyXwmJg69ORSm8feRC+JRc4w3N8mT7RpVbuxvPWupXLFv0rvnQoBT4oGPci+tJFk67k0me/XoLuUUNY/g7O5WrXMMuQF/2u2lHa7vfHiAxURgmUv32uyMFXY+eDfeI0XNBVyudS5vz7Vu5eNpzBW8MZf5Ewbziz4czbKfeOYaBbfi+PR1COFOWNXuock7jrhpPxDJWxLh3HuattNykc7PY7TNMOO5tzJvLAH0nqLcyrm4gqJtnmpVNlEsJEEveRiCopVHgbmqV0dTdhETRXYnsgmcAyRF2Q0RaOvrvQ6VaoPNBBT3O4D12BicjcgJ5dDejdxibkNrHZ5WTCz4CQAocnmSFfhmTtnWnGTN2UlG0dsYELOfhUegFEuv2srNA9+CnafwVtNlBxiueIZlBmOEs5a5UKVN4I/fSRZPOag36yGEhQyCXFHUYvcn4OAhKCw7WepSzh7RQaUfkt1fq4yoYzbwtnYNkbecOZB4MzXh4nztzdwyBS1uGOShKWtqSyVGWWOGDjAD9GMGsqa+ki6NdHHK9fQ+Yj5vk1mgCHwwSAsD+bceAzyKQBMa3ZkiRxC++2zks0TEJazIXn7bBzaWGPfeCmkdN+ewsn4qkYx1JrqKDp0ik3EsoucBZplAZvCiGzgLumH4XofFejZvOSGek8zzM6G8BQQ2sNu90e+/0B+/0Buwn2DHPNmSBrPxQcrumIa1yrAveOLoy5z5aIxJUaASbUJrRppxHasfXsqvCY4qUCo/wrMFdkKS4jYpdzVJWjzKSZpII7MDuuS3meoS2ZHPro0Q0Fii10TS78zjWRKoC9cmq1nMLcVpZlwxm8NZwRQQQFbjjzMHCG3FB4pDhzLw9DJZz/rp/VReeFQCnqbqzZcZ0xYnPVNIioQH788cf49OUnuP70JcAzDrsdLi/PsNvtdT7OrE80Uzhq0IQeMGuWC7NXeiH6SLY2k7g17Ik/kJY1MgyrGSfYQa2lGhMQc5In4yMDMf1aBFBSAOOe0uSIYna3HHdQtyVUdn6eZ7x69QqvXr3C69evTcEJU5twdnaGi8srXF5e4fz8XPOWcw/gdB+jzucSvk+CDxi44leYuWPuM47HI47zrOu0hUGtoU0TpmnCtNtj2gl2ux0aJnOhVmWmsUthtVcSyXgNUVFiVf5BGcVfEBy8gAOtUbeD8AGeQey8IN193mMBNLis0RBdvi4wyHi6Jb/uU36IW55m2XDmbeGMN2TDmYeCM8WzsCyPAGfuZTCkjTu6dG76BJS01cJUt5K724BwzTQGd8LcGS9fvcYPPvoILz/6ASYCLs72aI1wednRO6NDsHPLzgTSg4SG6OkVU6uuc1Zgqut13eXn9aSQ+XG70JDA1lENzyOAynyq08CV2a3UWyzHm0oug+IIZrq+vsbHH3+Mjz76CJ988gmOxyNEgKlNuLi4wIsX7+P99zU//GG/g4hEEJQmpzHyt4Y/pj3A5/il/l0c+xHH4xHXx2sc5yPmeQYDmKYJ+8MBh8MZQA00TWq5m4LH5iqSpPelbLrWXIxPzhxbckY0WP8xh+iKWt4Z7DwY5l2TmNcy4bfkZ0LBnZV6iTl5A3D1L34TEKFP3hUqP25nkH6+jaDFGG3eU0g+A2XDmbeDM17FhjMPDGfs7zHizD33ksDt/g57eCox4PNIBArT2eiZ44XilkNrGlUqhOOsmdr2O3VbaRRv8DAylkXx6OEIKJGhvUPb7IvOHXrztaUujM2sdTZrdCr91DoolTqYCAtKWigzVcIpTYZRwEpxF16jpi5KVgDsvaPPM47zEa9ev8LLly/x0Ucf4aMffITr6yNEBNO0w/X1EUQT9nsdNXHf6/2zjpKmadLRjiB2w7uWa7zqr3B9POJ4vDarf0a3OcFIodsm/bMUta01G1m4O9GMIgvgcgWOmB/jjUByzb1IKHNdHx1aVcg1BDMVYXdltTOF4yvUJdLobZ9nXFwqsBEDjZz6ib3Cn6CxsOHM28QZb8+GMw8FZ9aue0w4c78YhkIa/bz5QfVMFeFYbiQaNuIWn6b0JOwOZ7i4uMR8POJ4fA0SwW7XQG2CEMpmHrZmGJUJp8ylRTtuK2WQGUCjbV0qKw10WJ6vEcx+PcolEZ18G9G8LdTQmmCSHUACLgu0GjVMbYf9fo+zszPMFzOmaQKzpknd7w9oraH32dyI6ibsll2OWTTDHcG2ryccpetcYreUqETY7TT4q+0mHA5nODs7x+HsDNNuZ27DXW6iQjbOEzeKsmskmmrXgdatdgaGkVtwdKE5dQ5b6m/jgUAB88RhTRR8FXGrX6OT01DwEVyZZ3QOO3gQgm/RtHjBrUtX5fMQVx+iRCfX+/bNy/ufQtlw5i3iDG54F2w4s+HMD4kz94xhuLmkcq+P1Ag6z+N70LuiKOEbqOm61+mww/MXwH6/x24icJ/RuGPa6eYiOgLgqFSAyJImsd74tHF1Vzf/oopq7SWAJg18a2Gh6vynW/BsRHZLtRKbYH0zLXVL359L4XosNmQwsfwWp6EeawRg8o1V1FpuZoG3WRl+cXEJQsPFxSX6PBuuNOz3BxzOznDYHyAsOF4fFQgEui4YXVPl+hyjfXpO/d1+B4Eu72ptwu6wx+HsTHmz2+vcXLhpp+AFRwwxJw3K6KoqcbBFJEZchJLpz4ZlzV1nhWSyiojuVrQRBJSHjs7idC7KEsGOpIFcvvI7gFl8fJLQVNVzAOxbClvfb3n/ad3sL6Pbr3uKZcOZe+CMxNOH9mw48w5xxhI3PVacuftulZQCHZvAwFxZkkQ4vfGkokGE2Y5BBFPbYWqEw7m7sQCZrzFfvwZZ0gwWXdrTBYNCDTt6rVArgolWm7YAH0J6G0u7hzzgKzwr8DCoaB0xeQUSkvgG/hvdWxNg2ukoyax7MYv/4vwC84s5No5hH15Y9jCwZnzT5VX5sBzIuKtvArdnmNv7uKJXmsDGIpOpNR0B7PeYduomTNNHlYXhrBQQs1nQPiMtoUSVM2uWbeWejwCCtivCTYXyo0Vetb4yrUKFg3VTsDRly5X/o5FXn7GVt182nHmbOGPnNpx5MDhTLJpHiTN3NxiaZvICEBLgsbu5zrajuj5UGargFAtXv4RFBqg7EBNhR7pUZzc1cL/G8fUr8Hytub2Iwq0fSS8iJ3xp7+3aMfL0hpFK/V3uDGYWgzb6V3ec0yQr1XG1AjZmBZsxqkIVCt7sSq1rag2QXUmxKunK9HYK+eAD0gWzBSwdr4+4Ph7Ru9Jmmloo7zRNqqS7HV7unuH70wE/O30TbdIAI7fc226nAGsb4CznenVDHI1IlwZLoJIR4UHJQhNbeBRnGzDQS1BeHBEBDtQQtxxJ1Y+sWcopIWj2VigdPMBMvOIkPxiWMjfqKwONct1W3l7ZcCYvfxs4I568YMOZB4EzldePEWfubDC0sowodSAFDTi1/FVHi0sGUOEO6z+jjt01B0vHSgLs9nuIbQbD0wTmWXcjay2EFsRuU0JgCVZsF7gQn9Goiw5EPwilTSuFFn/IUZCfH/oYNZ1CQlHloVGuzMviO9kZ1GmtU96nZDOaiod9aV+463KoyPHemi3rggURqaK6Eu92Ok95OV3jsl0CE0W2OTQPQKLgaWyDq8iq05NOHTFlKzsJ1uIv6Op6ayeXFfpJKr0qEBczXGId+kwN35XLYre7QbBC3PpCEVGAbNW6FwPknM+OrlSN3spbKxvOlL8fEWcGXdpwBn76XeKMtyP2xoiHPg6ceWsxDECx7JGKEdrjSpp8saxZDWR5wQVq1VMj3aClNY0a3u3U6puhowNJNlXODyRtSA0mjlzo2pRkQii2C2et42REoJqc06MuJOVys/gFgiaj2lLUIfFHoe91qdYIFDmbqS5Zn0t1JQbRoqlGR+joYL/fAyDs9jt/WEQbt9bC8p+mCbtph8PuDHs6mHdNjCcNbWrF0JZkq/dOaviRtQ267t28wXlWLN+l14N0Kra8ZOyXgcbacS+vMeFr+AIAQS6pqtHMNlqklvwWC14jgSac0bzx2j5AN8tp46PeMI+4lR9f2XAGd8MZe8mlhwAbzuDd4oxP4/AjxZl7rZKopLCjZolJuQbFCkWa2uLLfyiMYrfi2FxAOWepm3KANGBG941vQJvCvSOikbC6z4iNINxdSBTKofVR4bwdU63DKBLrzCkG/3BJFcoKUBAJGtQ6RmMh6VRlwpteH5T26VJh0+oWlBFAkeypTcCeMDWNftZnpBI38uVLeWw3TZjQYjqObxqWWHfSEl4qsfEVFHN1TiN3daK0lobzxjcZKK3XDyZ4xgTnqCCVWGJO0b6fdIOs6Zq4BoLI1CbkbsLy3AemwJ+1suFM/eK9L1/uiTOR3XLDmQeDM4Am8HqMOHOvzafyO0JpBKK7dLlmApGnPLaUc0WPfOwUQpeE0e1VdSc6XYozTWTzk2qlaRAMDSlC69xUbe0gFctC5YRddxf+LPR4uH/4Hn0er3ZHXgqWCzwK8Liye7uo/KSUVp+7LI/Mfwi+rMfnB7FPMNLgpgltsujjChrRhsIjs4P9ZWqPD8EOkBPyDywZQJ64ZsEPKWyop1y2yC7yl0Ldyz6pWsHulOVyciyhAuFZkNgql639Uq7U90VFcQe3Wg+28iOWDWfeJs7oxRvOPCycAQTCjxNn7mwwsFt21gGyuSRtu81mOVOM4f5bg3LcFURAa7HsycVIZV8DWWZ7Vrfam9UxTQ00kS5LaikodQYp9GHBzaTx8oQA1AZJcIVbyky1UN0ajD4TEPvCpx1avmGoUxXFaylnitIW9cqPoiSZn9zBoDyJcilSgqfjhc4ZNko+3BRFHO5VsWu6rXuW2kZtf7hQfQQmKfwDNeuzKMmYFnzhVowGx1tT3vKujobv4lKlwTorRPDZZ6f28FJaNMeDwWIZnh8nAdBi3fv4WvPNd5bUO6VpBa7av2V5qrbHhjNvG2eyURvOPACcsZU+Iv1R4sy9DAYySrK5t0JsnIODLFIQOhjVdE6HaEqLEUrsRk1pSRMEHW3aaeIPNHQIyNbsYlKrXwBzFdrmKOJBNi7kk+1YJoA0c0OyNUcZXYzcAAAhCz4pBHUmineOhi/aB4EJs/eXo49OI78mhhnUCgj5fal0/vwKMhgU02gY/ixVYO2/KbLtXx+jLK/XtToUMvvyGgd8inNcymvdjIY0mClckpJ1iPW1EQHUcBSDd7OEncQeJEXw3dgEmdq2ZFuD41HSxSkdqiEaNa3HbI8AEF5jh6/hiyl/1r6sXPek8zlTTf6rKXBji0OaVLLII5unXCcnHNzKxhS4pWxvdKYZLdb19dbyQL2SP9ay4cxbxBnYwzaceTA4wzzrw7njMeLMnQ2G3X6XDPT0nUEyyuN2pBbvAzWNoG02RzjINDVN7gGAMIHQbSWTsZ8IsQkMjDbkVpwq3w6UUubNGM20aFHMfd3ZxgrzFKM974/ydukDyRtJeTwVVkzIajsWT5NTRsZPcqVYuArjtAUvkcY7DyMASpfdyUjE+vEdvMAZZnwV3yhIYg2qfSrtct1sAqymtfEqSj/Uih5WJ9txO+a6IFlJ7mQ43tNB+NCt/nqWcp6bC3ZpgFFwCiIdAoKuziKIaEY5VnSHWEh96IDXQ4SIpKZlT9Kyf4Lv/h+qbDjzFnHGm7XhzMPBGbatv83geWw4c3eDYZqyMbbmdanIZYuRwQUS7iLKoBciAtk2pkTq+mvhamOQ6EiPGkCWTlQN1yQWF6L6AHGpYGslreO79l7rHWoNJbSfC1qEu9EZGSMCHx0UoyHuz2kKjEdvbyvlc6nQmqKTarkn/97cceeEKruEMnjf47q1hkm2J8YypsRusUuhlI8ofF05qChs8NhbYryWpHcH8G08x9fwBd0VzrW1NC2aTFmvyg+DbQQmIAgTgMleEtUtKrXbJ8QSe8gqn+5r9f9wA4XPRNlw5u3hjN+vHxvOPAScYTN2dbfPx4cz90jc1IrVYxnXQoG9tBSAVudlsndtsELVhae/rRYSVWLqKnydNAOYKTzCenWGwmUhNZMmQOqGsaY0Q6sdEKrieIP9J3kH8rQOOZR5C866FZ+70RV3VxG8wRqkbB3B5bgosbXF+0fZkTeYkwYlLoQFQGr4VigcubJ4xa1WdSJZS6V2L6SPRyScrdlM3RvG1Xgx7+r1LDwxdQ5R/z+1/F/LHl/Dz6lLNzW2uAmtgS4rpUu6pImtReSNyXNQtyRb/HUkFSqAXbVXhtEe1ou7XJ/inMMbyoYzfu4t4EzUIxvO4KHgjHFBM1A9Opy5s8EwtZZM97zbIRx2kefJtv3WgoYot5WkK5lMxUYS7mohAMIg0bWsag1PIS0S7HT7eiSI6YeVBqAbmIxMWC2nuVrzz4JUaJCQcpkshdMvK8I1XJ4LoPy6NCiGWbdyj40OFCnyJWfy48unRFQphERdru7OQraHbL26jsKAGCWQ4IgDXtEFLuk1mFQBo61Skp/4iECM8AI0KfNrgoEmDb6ZD0JJo6cLa78VClQyVsp3EH6AC7tPCVFh2+eJq+LC6FgVuiTEK6MciTXcIraemsrmyzcpYh0lLWUzaO+82oyGWjacebs4o+3ccObB4ExhzGPEmbsbDNN0uyKLlKCNdloBFpaOWbdxiEwoUS0/AqYGYieeE9CjjTOPOJEHJwFEtnbaqtGtVa2O0oRUlxSUbKKPNmoPTDBNU4b+uMD6iyemHLK7AxP9UzDMs8Y1pqiR0KTeE6JfgnikHB9wRizBvfZV5xXtAmLllW8J62QH4QN6jjOa8VX6RmZ+sxrZlgf5umnFFYdUznY5JYsCBnRxuv4cALzZVO4P0PQRYrRRAeEDvMBvWABS1AW31Clk1RsgYjsRwhU2W5z/ukgz0AjMBLaXlG4+XOR2BdRHsM6+31YGl/ITLhvO2AVvAWfqS23DGTwInLH9nsDyOHHmh5qSCPGX+Fk/ENT2Rtpnaw2rZxZtFydUSK8Km1peUOEhs1wFUEgxtw5y33Mpn/WbLNtrTcm1yvpwd3+dlFPeLc67dbm07ASuqu4ydEuf3P25fFChOSCZ7CNARkKRCySlqpM578RsdRM88VuJ1aonrU9JbZW1YkV7gpKxiyvusKry2SKVHQolVcAxKkjyyM/pPfUhOVeqS+1cib8wkhdu3VPIDBDNjzYJ6067IroeWkKOWAOQ0Oy4J1Wx+2C8cpfmW36/h0Kf0PVplA1nxmt/FJzJXqZHYcOZbPW7wBm2VOLMjxNn7pUaOhpfXCG0OA8KkkfxDi+zkt36rHJjtXwBKuxmM2rtGLnVVzawARcFBYjcQvUapbj0vP7S8uI6dOVZBhrF1eTCearES8tuFQvc+tUKhmtcgY0iw/pzb3GZ1ornD+7K0l6PHB4YSYJY401AZ0YnW/5jDRMTbp+tDEVf4pV9qYA6KqpZ/j7XKNqvMYFM9s+5qY7fhg/omaZmrUrujyZvUtLaAd/nVr3vbvVnJLzRXgCZ5MSwH7IMBtNqZLrkM+OeZZey0lV9eKLGgpcNZ94mzqzL14Yz7whn7KHdCPnYcOZeqaHpBgUGXECL4K40TjckKSsDRj0JYqaapiPPPZEMdRF1CMBVUEpmcOKxAZTtK6w97UMoeLG87AFOep93SpdeimgoejC20i+VLClE8Yza9+F5+pAUliIUTrvm1r3R1oWj0YQ2mQNPTOCqsrMJLCTa3XuHCIMa4QftiO+h4wKvNbp8moDJ0um6LKRmRvsgEnut63FxzBxgWOlsymJKP1GdFAAapmivc/g17fFb+FfCFaw72SmQOx18GBMWuwi6MHxOEaDM4T5wxBTdQM0VPuXb21sA/4S5y7nF8pyQpy1+Ya1sOPO2cWZs34Yz7xZn0sZ5nDhzdw/D0hKFMaj8TnIsLaBiF0nOFgNmgdJYA5Wa3OonocFN5vXWT/9rQvCtPTyC+WaSuVSXzg3dVibRzZfcqdTIZoBiDrJqZoAWCg1MMbKJSbsGAlqzZDdel29wojkFiNTF6xn0gn+sSWh6Z81rLibs3CEiaAT8wbQH0xW+Sj/QJWq25SwIts49gU+40od09zsTWO0Dx3a5KNZ+vYdszjKClAqxm8lIR8NHODeaFvnwEZUgPj0meQxGQrYLKhmCTPIicQ8DvenibEGOlFDaFS82b+zJ6ysbtJW7lQ1n3iLO5CM3nHkYONPtPo9heGw4c08Pw1I9Ty0clPMALGrYiBYCq5amRtcCEN+wtJVFMoJJjA6FOV2AJpYHXjzgSOeezYG3qnAjCGUwz0k8s10o9kB3Cem1dFJhzgsKii0YrYjz1U1H+Uxa1CnImK6YBHXkMsEVYeicF6FRD3Dzezr7unPCNB1B1MAsqLu5gXXHNO4ca4NVkTmum6aGD9sR3yPGZbvWVLnULG+85omn5vSxBCXVECqjpvBt+n4AbNHKIRNkS6E8Aj5p1GxU0dHwHVzpfGIVN6enRySb0lWr3oFGWGXS3YMCsuCkBFm9xwPeyILZJOgfPKlIU36f6O4NunyTO9np8RTLhjNvD2ck6LDhzIPBGXv5d/aETo8LZ+63W2U8x1kliwb4pwlGo6FX7s5rSAsvzjaCuEABIEvFChGLXnauCJo0kLBZfDCFNlAoNnq1/scFUh7Qm8cBrEQrE5aQINHAW+hkz6hKHEwzC9bn8FycvHJCLgeCC2NKJ9gtaPtNgP5mE0YRs+YVWNqkoVmalpSDHyLIegjhXuNQZMJuN+Hr7QBpz/DL7ZuAgZoqsibB8T6Jk8uOxQjBSOj6i9pukHIpiJpUVzlRJdb5RMIHljSlMsnfEwQfGTqfje5G4S7+Imhg6WEkMPTloO5GdXF6wJs0xiQNwqySUp+7UOTUj4W8SPI2RWe878RlKKlbT23aYsOZ0sMfGWf8Wm/RhjPvHGfMmp3n/ihx5l57SbQwy2OV6WCtLE0xrqeIIho1bfNUXOWnMV9UkScIIB3E3a4SW50jAJtFSAA10eQlonNC2YLSsspwnM79rRcaPk/01w7ctM5VDIiCl962IsihpHY8Guv3uOIyg0XAnSGhkKolwoDPC+pfKrKvPe+s9wlzAAuzcYLUtdeaRYGLgFrD4bDDtNvhk8b4sAkucI1ufXUl1p0BkVHlk240Q9NkmfagG/i0cZzjCgYxfpp2l1X4cEcko+E7eD5GKq/y6bT4CMCfycLo0FFjh6DbaIFZ0EU00yPpOEOX7XUQTQBz9EH5EgxKhS7D1AGWRl3OftOirq1sOIO3hzOA40bfcObB4Ix6uWbujxJn7mwwzPNccm3rF3cxZVko8oK+ZGtLs6uWJtPv9lSqok5DFjELXwDLktUYmtSCoHNbTkMStTrd6o5Pv4bKk8ZWnRR7oUc0L438uqmsAYRa7mKjV1s7HHTMyGy/WNgAKe6RUObOqqA6HPb5QLXgIWq1997t0661gBo2BYbkd59TJEujO9lyNBbGtJvAvMdut8PXpwOu6T18mb6FcxwNPb1fyiflCUEaYbItbadJc/pPk21x21ruXNdq0JGONOrISwcRBKFmFv8XUdXjlPKj7AEZUKQRyhKBbAIGd0uWAt10KH4zmRzpmnpmBbneCNbFiD+hgXmD+LxJUO5cnpoxseHM28MZFsHcZxyPxw1nHgrOmHXLZhg8Npz5kQyGdtKikZjFgK1Hb1FkCSu4iYDA9unHLYkmmfChZQ74JpiamaBE0E1xb6ZZcdYseEGnVzjD1Exere8m699HR8yMLh3M3Sz5VKRwb3VXNn2WW/x6yJXaz7Na/FymN4xMnRmdu44SJNuXbkJ3QWZdwQNr65DznIA/wA6v2vv46u4DXLVurl0dbegIxqKDKV2JjRpaA9o0oe12aNOEXdtpnv9Jg5lsmGfAqf1o5BY/mcX/88FJKv8W0mnAVeFchkklJ73P7POqqJ9i84tkUfoMyGShbOnW1lXmi5Ggo7z40aIJRMPvlIqhhjwqPjod2/5UyoYzeIs4wzheH/Hy5csNZx4QzsDqeIw4c/cpiXlO7xSACDuOBbhLqzqVuZASgK9BRdxTA1h89O1ORJ+DtMSrcPdbBzBDA4SmSStgAZpt8KFzQYBHwtqrINrg63Gz/frpBPSlRES1X22h1PoZmcFKCSETdXczq5vPXXl97pjnGXOfw/03KqpXkJ8sKmRUs4qJy1ELBdVrpYwqSJXGk6CW67wf7v6TMupgZswz4vc3pgsQ/Sy+3L6HMwIu6Frndpl021+hDGzqgo6OTgA6Y+qCaWJgL2itYYdJ2xPP1oZ44BFTw3foOX4DXzyRKRT3Ww0D82Ckpfg7udgy83UAXTQpi37XuUuudZMptGjQFJlsUvDVRxtrKrqI618CfOKupQJCkcyx+U8tgdOGM8DbwhkRwfXxiE9fvtpw5sHgjJuwjxNn7mUwjAKrBNE2aoeiMbXhVIjeMpVruLnMhRNKMfRDDxCAWAzr7q4+A6JzZzTtsG8t5omIJuQcooDBIOaIpHZbTJkj8J3b2Or3fsY8pVmmHHuwe99gri+38AogmBXI5uKTzpiPPeb/5rljPh5xnGf046wWdsz7OelyzbOvBff5wlxmxAMt/T7PpZ9NVRceme0qtvqcJtvZz6839NHAJVUOzU4GtDbh+9P7+H+nn8HPTJ/iK/gjnMkr8E7Qpetow/rQRcCenEUahBukARFwJk3doi1xi4QxY4dXOMNLnJsSJ5DGymoplj01ncN25TDQNpLBBYhFl3LNQjhyxywCloaOCV08mnmq9oK2ShhNCGRtZRAmiMbZC4Fs8yLAR7QV5f2jjM68L3ZZjLiykwGskAShp1I2nHl7OCMs6LN6GTaceRg4s7P5s25+s8eGM/fK9BgukaW1I+7qyXk9LS0bB1cEAJY+1K1Mu3mhxHYPYDOSJlR2fAJMWGx/cahqsujaXp2nFGhQCSBmtQ8Ys2y/WWk+ulBlprI29maqKmnEvuenRxQzxIJ+GpisXXENx1RFNiOfNVkkMEQpSqF0KO2tdB9HIh5sNDZY3WSu4Lv9DlObIBDs+g7cObYIdjfo/nDA/uyA/W6HD9sZfpcbflG+ASHGhI5zvDKFcUUWgHSLYWkNUyPsJh2FOPgRZaIURsN38Ry/iS9qD4LklfZV9gqoerTZoBEOcur61D/StnUNSuqkkc0O4ktDu0GDlprVTRCb81YjoxnwCZxnY/tudiHjZnE6HeA8rbLhzBtIczecUSOqXrPhjPL63eFMt/q7jLL9WHDm7ntJ0KlwLB0zVB6uy09OhUcLIy2kUucNz1YjWiL62ed/mltvXddLSyuKqpoP00kLHKnuM7M36fQ5anqp2aVqErZp2ncl8tTxbfTsSaxJjqAiu7cRYWoNMk3Yi7o7eepZVz7O6KzWaxMq2/a2cOf1zpBuoCYCQhuFxxXZzWznE0s8Z5om7Pd7VTqLr/A5QACm7HtMu525HQXf7y/wK/IMIMbn6BN8ib6pVfOMM3lt4DWZ9aq7Ae48gIwSuBv52ufn+C35Qo7MckG+8q7ISehv+QtwNEBn2JImsRgFdpBhU15bGWHno34LqiKom5eaBDizLbMT8mAnwGcfq1xE66LeO5rwT7xsOPP2cAYAqE2q2xvOPAyc6Raz0fujxJm7exgG63FsmruZAA3vVOv0VJG5V1asP2M8UxRdfMMXFWzRp2kUatMoUyGDFmlKZMDmhkp1JAvmZ3NirbBb0ZQXqecmL1aFUQWToaIM9Bn+YNc3nd+bLJtZmybITi1/jrlFiVGAP4OIMEEjjKdpQmuTzVlaUhTmcNPBVWTxEnTViShnsnXQ0w7TNMUnAE3Rapa/Jmax5UtNR1Q6R+qmKeHD9gy/gmcAAS/oY/xJ+YZZ/TbSIcKEjkN7HS8ADfRp+BQHfIIz/Aa+MMS3n4jHqVQE4DLU+O/iDmKE2zACGkVHAcIM5haK3pEgDGg64MYCabp+vtlopjXzC7EgQpmhwOob6LTaSpP/XM61GQ1vLBvOvGWcadgfDm8dZw7zNQ5dZ+TjJWoY4/4Zhk4hsDCICXsGzjrh0BitGc5MhDYJyLBoaoJGsy5xZfUW9T7jmgiv94dHjzMcHh88Spy5+/bWLZuYec2dIUZaVwj/Uvak159uGrcyDwYL/HElzs428uuSdUqsqFGF3palSCtuODXPTH1K2IgrYFRRrDMCIle4KyARJrfwqFj+YZ+6wqQ9Oiox4npqFKMXfbToUhrqICY0W84kImDKkY67GKfWsGsTdru9Ghw278ieq70aDA4mSSm4IRHGBVtg0G6H3X6H3W4XhsFu2oXV73OcAML1SbbkLHptbj+B4ENc4VfoSwA1BQbL0vaevMSfoj82mik4foIL/BZ9YV1Jy5GcKzawLFd4/j62CDJNlqJ3sq9/BqELobOe7yKYhcsoocoEwM4r1iAmahr1rIMYMZRgiLiypzw4YYZB6Em/trJWNpzB28MZIrz/8lP87Icf2csrBxXuifDRP0EHCQTCRA2TeSaaDSBy6aXizS98+C188ZPvRtvGEgwaPCONKFM9l5dg8hnDy06Q/fvu5Qv83ud/wYwCPcsQ/Ev5KcBjI8yQew8v8dP0oRlmyodP6AK/294HIPgp+l70FeSxJHLafhWm6ItOW6rRoMGMzbCkYAozjp1x7B2zMObeMAsBaOgAzq+vAQCd5VHizP22t0bYvXl8+GwjrQkYrR0VPgjAJShYU5Ta+LdcH7+5xxFakKUTsLfvGt0LTPWR4qStYCChgBGEDYSXUC1Gf736vJGPDFZY4hV5HZAAoKBBszxw4mlmDYRsBO8JT8jXQKPbSEkbEyMZKq/Qpnvl7XYt5htrjoeTJnqPLDmLg0t4EpolVqGGabfTaOaY77T12TDAsXjfdI+6AFPOZZJFTTeF+o9wif8HX6qwqjQyFCXyEZL+XiN3BSefT3Ze+rIlQTEYQGbZI5S7M6FzvcfqMyCKeU0nvxn6aDrHSLZvvc8ltiZgtvZPCX45IkQA11ZuLxvOvD2c+ej5Ff7Mb/8e/sxv/17SUlKH9NacwqiGVEwNUf4O6hFwmI/Y9+NpG99GkTCJ4tDn2zfxi7vfR642qR+EN6nWcwA/h38+HqTK53Fodfp7QCzDZPudpA0DSSDB37jHytffex+eYPyx4cz99pI4EeLqPNPfIfUrhQqB6yYe5Io8uArVtaUuOxosa2W0b/aSlmq2xl2Grqwmfm+Wq+Q+pRqJ5HNPaGJWqr/gUon9Fh9551waF7erZ1PzlxcB0HS1FKBi77Gom6VjZqXP1JqNCCyBidFmzem67Hvw040Xa49Ge8+aBpY92lgwz/Pg+hTRHedcSVqz0Q155jUz0AmahU18M2BFXPeMpNYUmkJOGlzg19qc59h+cnEbRlpWkRgBdIbNLyptOwkkxq6nAiLlH2Gbb5x07XTMAYtEXn4RmzvFOOq1kzfqxla0bDhz2q8fFmf+j7/yF/KFxQzu3ZIycUwx9NlyNohOwzRSHAkPQ9OBw9QaprazacuGX/zW7+GL3/k6UJCmqONK/91aMm5KHgKVvlevSVIA33z2OXztZ78EaSPOwL83AxtLE36KMxqrYOMYgMzjYd8TCn0A4g1scA+SiC2/FsLMOs3RoYOPWYCZBce54/U84/VsngZWTOg0Jc7QqYA8Fpy5314SOLX8fCQQ9hhhFHypYlT0hLJfYpIzWrj5GP1K9hyvsyiscZytnb6syWeZ9Gp/KXoPUmHTVXh3Irt7XEqbUpGdRmkJE0QF3CKGwTnOdss03IWDe1SVgVq63DoLWGYQE6RNoB2BW8MEnU5AzMBWuhulTGOooKqPyoVz/XaP6Q6dQ6vZ3dyC0TrZCWIGQQMmQbOoZVVI48AwatFpDbfE/f3vnEuNqtZ/+V2Ah0E2TwgINf0tZOufLfCI1VhgTk+D6aB5FsilJJ9WFNVb5cAxuoPTGyLDzUWWkxGb0XBL2XBmQY8HijN1yWXyyLClWRoiTiZEvSLA3CHS7QXfIF2TTPnbWxNBMWr1nltiw5l3izP32t6ai1KGkVQU98R9zItGSwonAHu51RWwWfey6AuuQSxjFpULWaARzDsdzvoImNEw0aQjiNipDhFspNcgQWQgMq0ZgmP/XJBked0IXhFt7OrvG6a4kpgyNXsxMzX9q/nYy8iefN6NbLRhw3n1WkyAeShccYZIa6OdGw46N2lpVz2PvOeCN5rkOf2LNdue6qipT8OBYZoa2i4DJqWl29+bK6L9HvP+2zWSEN0MRMb3QcKzxytoYl8C2qRKLgQGo3fYnCKrh0H82vzUukel84AmvVADkQABk4LBZNIzwdfkC0QXgMNdwz6i3co9yoYzpyR5gDjD3INPboDR1LD76Z/C7mc+j/7Rx5j/+Bvg62tMz59j/8UvYLq6RL++xvztDzB/+APsPv/TmN57geO3v43+8Uu0i3OAGviDD8CffopUQAT2bDjzbnHm7h4G+/RmaXslCFxHAMO4YGH5Z21UPhdH5fRqfWBaYPVsZuijVRRwPvn8vjPIhWoYjixuzHlHOWlcuk7X+kir34l81kwsWMcU3V7WtT5fmxwpVD1QSRgkunwIAHo3f4IAbe5h/ce8Y+mXy5Z3xY0BDegaQQNFyWJkgrrGPAGDLLHM1Hz9sz3fHuhtrW1wCF8nv4E0n9I2WkXuKrQRETImoaP8scUuRMBQfZC6MoPyjuULC57FXOVFDE5HAMqfhhZCR5ZnfnMq3K1sOPM4cGaee0xXEgCaJuy++HN48Tf/Bi7/7X8L11//I3z09/4BXv7qr2H/r/0C3v/P/iOc/amvgnYTPvk//yk+/Y3fwtVf/PM4+/Iv4fob38DxX/4hDr/w87j+xjfxwf/wtzD/wcvFiFn/2XDm3eLMjxTDEBa/K9dAAFO5tQ7IKAmhaEMF9j1NswE01OEmJ9Vnili9atHg+Iz/TBBjaVaxmj0jrXgOcndRxqV57V04FS48KtcLwZcUuUITC6YiHL13yKwrJ1x4gA5ioLHlLGfB3HsELeqmJtY+Sm9DBMUYvd0YgAslJKKhlwK6DMYiKv0im0u0jG7q3jQ6thF8xXnqbSqA7t6LjGWoQJ4hZWxKJcblmnZVXYPlTyy2QXTeMaEAsPAihIb6KCPeM/bD6EMiCbAimpmNdDmUBzJJE+VNE0zFu5MyvpWbyoYzfu5h48z18Yjee9Bl91Ofw/O//tfQ3nsPH/yt/xEXX/0Knv31v4b540/w6W//DuR//l/x3utXOPvKlzF//DF2X/w50K7h+nd+F2e//K/j4kt/EvP3PsT3/94/xOs/+EOcMNT5tuHMO8WZHynToxSChHUcZzHED431LE4Mg4BiTQsGZRG/S4DmyTYK430z3MUMUVTnfXAF9pdgBin5d7PO/dzA2EXVS6VeKHRMCwy3UL1ALc8mtqzSc73rKWZdlwzoxjye+CNe6lDPQO/dNmEZDQYHYJ/no9KuE7YYbeK7SM5DWlupRilb81H66M/y7Lzm6SskK+AnYmlxk+dycqVdh4LDBLP2aVgNwbHMqdnUiikxVKF9DtBdhFrXOBqorxGOA1IGKmKjMNKdDkHQ0GYyJVdXYmtOQ2yGwn3LhjMPHmfmeQ4PAwAc3nsBen6F13/4h/jk134N0+few+Wf+7M4fPlP4uNf//9wmCa0z30O13/4R/jkV38VAGH/cz+D9vw5jt/6NqbLS3z3b/8dfO9/+7vxAtW2UXZ/wxm8a5y5VwyDK01li7vaXIWrnBeWndaVNeSHYGDkcIufsdMsUjJrlyhbaHAJOfHE19H2qJ9EAI/ub+nujChkyGLPm2TIiatQCvNv4lUFqKoAcNAQQERjAbiVEY7ONVaP5IwZ3CWyfwmgy8HEQcPiCUBpMFhbybKKJeCmcRCW7eBBUIQLg8O2XvU5Q4DynC2JSPegddVy8zeqyii5PNQNayltqWSzilTsbC4Q+emBRwzSlRGApY1NJWYWeL6FDgtIAiL3QpXaUXZreziua+LGlculACygpsldPRBLRwc+mrEnbXMTt5cNZx4FzszzrEGIVl7+3u/j7Dd/G8/+/J/DT/2X/wXO/tVfAB3O0F+9Rhfg9bc/wHf/7t/H5S//KVz95b+E7/ztv4OX/+1/j8/9h38d7/+1v4qXX/stfPLrX8P0/vuYv/99bafJQQ3U3nDm3eLMvTwMa+5Cf9EApgLVyrvR9PdSrC1Xslq/v/CkbByDhX0Yz19Y3CvWvzgrBJaHwNzvNFwUTQsvkSRgVW2tUdp3YY8LPsSt5NJWO56JFPS3p0f10QgI6GBAAKbcplZEMrpYV2qixiHkUrI0Ftwdl/0oFn1Y8LrEyg2GZut/3WjQayj2pddNclpR4kJUSb755jB+3Onp/VF6FHqvWO2ebS2UF5o9bRbBbEmaepdQaMPvAAKV2FEGnTmZLVYX3fkyLW2DoJFmcQt3NLmhJsCkO+ppYDzZCHIzFO5aNpx5+DijK6Y63K7rH3+C7/2jfwLsD3j/r/67mJ5d4dXv/wGOH78ELi7w6e//AT75F7+HPh/x/r/3V3D44hfRP/kEl3/230R/+Qp0fo4v/Nf/FT76v/4pvvM//S/gjz/K9tm/G87gnePMvWMYquXvBm0YxRjlMM+c1DYeLz+r5VdPo5rYK9XeBhfjddl+/xZz86OeWnvGYxKsp5svshLTADbyp0YpoCt16KC9Rf2kBiWmNgE7ws4NANsXHqTLjYTUvag7Ydo2tmWP+mhj6bs1EBEcWdrpbY9Mj1DDwZGESF1hzZI+TdMUf75HPZpTSwIM9cmcPBCkIknOpbpQBZsTB4xfSBcha40zPBjJNnuxaGW2udfeLdWUA+bAKG+OnD7ThMLbpS8Wij6IPQONAWmqvCyry6O38uay4Uze/7BxpuveEnZtOxxw/tUvQwj44O/+77j6N/40+OVLzMdrvP83/wb41ae4/ta3cfHVr6B/8hLt8gIv/spfQv/4Y3z627+D85//Aq7/8Os4//KXcPGVL+HjX/lVuN2jsykbzjwEnLmXhyGyU1kJYxgNmly3ndCoXIml9snihwAxz671joR1C53ggGFC4vUygElTyDaizK1dFNfvVyaoOHBTu7oh5/TEJhzdRtTji0ZIgpk31Bk+6LX3TUYqDBQhKr8J7h4jzhe3TBPEds0LwBPd3jXWGrOAe48kSz4VXL0N8QiUqQY46GgEUWvNErmoV8GTpbSpgaYGahPaLtPHTk3TQFuG/+CdAlLSMLUmXbQxHnCcCuJR0ptTgfVSsiQqxSUIDzgiSzolkQrao5ojUtnbQvWztid7EBKzFG5xGVJ5Ye6WN6YF6vj8osd++BTRmi7EIGfBp6dWNpx5BDhjsu+rC/j1a1x/8B28+Mt/EZdf+RKu/+iP8cE/+Mf4+Nd+HT/1H/z7+Px/+h+jXV3i09/5XXz37/8j7J4/wyf/7Gv43t//hzj/+Z/HT//n/wl277+HH/zjf4JPfu3X0wNUPJ0bzrx7nLl7auhp6CmAsi6YaEWJafHdxXTRMj+1OBjrY71+ygu9lvDUmbUl6JCpoe00bWsjglh6Zd80SecaNcuZmBU6SUMjZbq65qaho0u60tJ6dCVOr1H2tHS77og4XpfwKOUWe5ha12Zq6z4PM+apaZY2S6bUe8d+z5iPE66vCXTUUcHIBRqe4AYCNWuFK2Yj21ei7C9hhsJuarEGOq19S+QyNUw7lwN1yJFS24BSLXVVJE0uo6mmbbtXSVBWGjflkGQPWBQoPFJZ5xVbJkhBU3cgAzJrFjZmAmMCiDBz7hshptQuVVKZQIJlmlWCYERoWA6AWQOUCBCesd/tII10zwFLnAOaQDQtZInqj7HeBYg8lbLhTDb3IePM4dUe7VUDiM3oAl7+xm/ij7/5Tew+9z7m73+I+bvfBYng+//gH+Hlr/8zTM+ucP2Nb6F//LFiDgtaI7z6+BN887/579DODujf/z4mCGg/aYtt6eTusMPh/LDhzDvGmfutkoiHEhAWjJfFBjChinnkzfXWR7jVJ8tToSQUe9HXVvgE/njT4udijlTga1jdU0VurgMR3ZxzjTcs/aLcQa9a8iq4CyEwLc9Zw5X6SscJNronxIt+aqrIvXddgjOxWeCEaTeBPTOa9SVAyD6ptdgQphoLYc3bDpZtmmIZU9vZtdTKHhSTgUxArBMZnnFuSMYjiEjz4nnWkUtY2VoP+2jAtIws9TMs01r30Q5UqTU7HanyCsd8pMtA1F82lXHAHBo4vHQyXCmuEp+TdjnRCGaBWJIZW47WCMy+ll1HxxCxJDqDMJyUkJunWjacebA4sy8b1VXvJX/4fVx/+KHSqGXG2f6tb6F/S/u+35WdKn0jqo8+gnxiSe2nnfVNW63YNGHa7Tececc4c6/trfMJKZTLJtwrOtOFNMzctUbTKZ3jaC1KZmW6axyQkaOlfeRX04JBZmUywzOmQeVWhcABLOaaTvs9WPZIZmSks1mT8VApYnJCGtdaVRpAU6m2CdPENq/VddvZuaOzjgL28yEyNQY/DHhz6+CirKGU6jmAeR3ce9DcsJhsCgPQa0hp4sGPIAvyCgy04DSJJqgb03gkkKCJ+HKkJJopIOW8pHjmtFR6Idgcoq2L7mJzi7nVrD6kWPZFYtaViIYrTu4Rf5cJ3EYn4zE3iu2AW2u29KnMmwoPmedizghLOb3Tq++zVzaceRQ4sz/bY7/fn7RvqHPRZsUZDHgRcVOBI7DvY23TbsJuv9tw5h3jzA/nYTDBK2JgD7/50VQYWmsZDMWxehUcIMYQrvCxuyGQN4ewhKkIj4xyNyPVe1tTzhdm+Zy/LlOxOFmCJXazLFyrfcv11CHpsohYdb+dWYcEDPOXEqBTrMzqDYDtEEEEoUzqITJBJobspGxvnWTcN8GOdCvWjinqqG132rrXQelD8ZsAC6QqgIc2KobRLfXQ50Drn9iukRzKKchNqBgw19sEKQJRueTK5xu56KIQW8pkm0p5Hnd3SyYQFMJ4mzFUPPRntRiPHSDqCM0DlZg6mBu4c8wLrz5jpd4bfj7RsuHM2LeHgzOHwxn2+308dhJG843qWgO3fLWcsIuCk2Y0IIyGcriSO4KrN5x5tzhz9xiGpVA6s/38Ss9DUaOO8fyabZrG6KnmO/HG95RLXFFImGVoyjE+iPJYNbjN3aT6ZgrszxIXaoa7AIc+euM0i0Ysb6nWndTrghgeCWtNsXMCLPro9CfrsYJUjFykBU74tTpSIPwSfYBfpO/g9/B5/D59PnOxU1rCYfGXNtCin05Zj/AFJGjntB6vKoprtjobQLpipaJRuPvcRShFeDISQ7Ol2UI1C0CCpWhVt6EmVhEdDXjd5XqBz3IuSys0HwG+wpdUHqKKj1gtGgTFncFNlz1lYpUVzVyA/1O3EjaceRw4czjsMe0mowvwJ773Lbz/0XcAAN9/8dP4/ud+tlRMwzOGsiLvYwSGgoXQhjPAu8eZe3sY3GU0uqLWlfg2Q+f06vpRLSB/gd0u6Gkmygnh3F3ogh9KoT51hJpF/QyRjMAlSwoiaOESqgTx9rgChwUcwujuwWRULB9DWfu86Fftp1vCjld1tOXZzpq59zy2oBFhwiV27VOc0znOcVFyrxM82jlplLRLsyDn7sKKjt8yyIErLwSmtHYvp2q4UlVXoSuk52qP9ctCRvd0o4nXTZa/XSi2lvV5yDFFq4FGNDM2vr29DIon8ezKpEGpQ/wkRo6aPU8saY/RSpG3eGeKfHh9T9xoADaceeg4M007XYZJCE8kv/9Cz4t5A6qlV0uhb7ZhwWcZjzi9/b4NZ94NztzDw7D8vbSo12Xj9krr52n4UpZqWd7MgrQel6rugq/KEy691cmmnOvz1yJ5NpeWdbllTfYsBQudkzx5ZmkLrTDqtLXrx6xS+KboEVJEFHNRqryTTSUQvk6fx9R26tKjnd5RKmZXKO9XGAQSdIwlOiLwqOiiGcVOdmtc0poX/10AFmbhe2CRSOEF2blmm76g1KNzhwL7DjJlVoXu7IosuUEMKNrHQEn4M8THrxAZC6W6iUv1ngKEAl3i2hhNcnMf3dnTMrOBQIsI6frcp2g7bDjzOHCm7/c4nl3EdAJPO1B/pS/m/Q7z2SXCWSHZy3U6+OCjnqs0FszTfsOZuOfd4cw9EjdlU2+qeykQsnawnqfFhcV6AhCuttueeVt7c25xqD7K0J9RWuFWbvwigbDNPdabkSMECcu4jBrshoAHc4FSuELLGOkWrlUaEChyJ/i2rD7/SHGdqmgXwu/199GYQDSbh0E3bKlBUN5OBgeweu+p1KgjJcSIJ4nthoMYDfK/peQ4fyMrWtyr6VeBBiYPLKvWu1jEsn73jWBYYOugPViJzBDK4CXkUExZeyOlvazw4kZklZSfxQhATKHFRgAuCzcqhwGwK5y8uaGfqbLhzOPAmW998Zfw7Z//UqSb/8rX/m9c/OavAAD++Je+gn/xp/+d23HG8woAtrIhX/Ls6bRFoMGLNnjZcOad48y9Mj3mC2JoM6JdJ416g/rpCpFgbJcqrFrxoOvBcnc3AZF/HTaf1Anc2FK7N7OMW1hYZFyMef6qaNQietZ1zEVQg2R4sSbcLG5z8aMBxKQAQrr0EKTuwzoGoKgVCPPOFXvhhoy67Q7NIq4Jv2D7v8fKByp0YgWNRtq3DgVGDYDyRco0PgfJi2Ct0aaOvMTuaeYWZci4wyXVeszypgYhT/TSgmcKFM4XVWKBK7Deq/vLmyuQtS7WhW1g0exrs7WTLQoaRMUJYow0l29Jrpo0gLu/S/8pv4wz2g47hTeWnIdIXbHMAiLWnP3mKlTXoRplTTzda/IWsDX9XvcTMxaADWceK8789i//Bfz2L/8Fay80AHLDmc8cztx/t8ry0FjWUhQwSggmsHIWIRCV2CHcVV31AC3udGtdYEEuzUNMUihvKs0VEITY9itcRjmyDivN+y5jV8TrGLpVLH/L2BZjcR822PFaXc41JjXeWKyCpNVC2ASRscxr7t5wL6bETrLqZQ1dFClTF6as/ksQIwE/ymw8YaekjxBGoZX4UyV2xWWo1c+UlrsDSmZZ833oXWEtG5v31tg1eoNDm1dL0F8qF27XJh/jDUGi4erT5Wi6Rw9hmgCxTYp0miclnMjbfbr2/smVDWc2nNlwZrzngeDM/XarXB7CLQI3KPHNxHA3dygr5bOSnKnQKkj6nSG2ltkSdLQWFu6gYII8bt+bqLsMIkAzxjPSYpW0dimea9HGNj9JBFiOTmOE38CmtBxWvRChsSTDSo8iwKnMe7rrzwVrydzcKc9SzYIGHgUALuZP60jKIaeuix55U77LUoElRm1+TFOkWoSyKbPz2HlWAyj1ZDPMcddgKrSIjnTYrH7df15ijrCDdE5RPL97KpPOS9rvcThpMpa59Gsf/QKKt8ma/NJASYdqitGDjVi6IKDFdpajZkovCvQkI92dTk/WZNhwZsOZDWdKBQ8LZ37IPAx3KzcJoR6WQmQn2mhtpjhWl6FkfncTjIiUDZeZSfmaZApyaSHMBSSuNFKao3ZmaVBYubnKwF1v+V15r+d9RUL0v+zw6IVMySGLZVJWZw1eitGBlFlB0kxjbuJmoqak1+B+FFfhrG9QZudJeaYYf2zR0liV0YWF4bZ/0i+tf28QGw/EooKcs74UKdyDdsdSgX0Zk88p+razHnwU/K8WfhGLGAOtvl9OxnFrFw3VZmR8ynTIEumgkkjCDTnIUNBRxvaJ3/9kzYZ7lQ1nNpzZcOYngzM/VoMhlTOJ4YKY10gIYQYhDbefVFqPi3BEzHr91fXlIuVqbbu4xv2WlgiM4u5ZjHIKbkQ7nRlcsmnJoAw2QvDER5SKVucLq9UfqxEWyir1On+OKb4/xw1IKqsXCgkGcvsXMWKHMptCm5YDSOVQBfVjI304crUbsCJdhZrwxK/3sCLvV+WuK19qWCqq5DpoAxTP6e7LnrKdVYkJnoDG5eYE4KMr/lzy//0OuHINguO3+nrueu1AHZMvG1WyaqnFk2h9uStdKjMw6s1Wbikbzmw4s+EMfhI48yMZDCdKFlbnaQOq1VqOxrlaxboCnz58zU4DUHINjHXpUqew90OAQUBDU/db79mIsZmrfZLeByWtHQmFQwIYLZV7YQGuWoRAjA6WIw8fWS3E0+4bKRTCuOgWyam70OkipR0y3M1mmYuBAodLj5kjbanJrT6b8qkU/y7/8qyDh6BEJLsyk+oQB21MiYN+zVzAElWqyi2khlJc80xFPryxuEJLpa1UdVC+9a57fTBD103fMgI4aecTLhvObDiz4czDwJkfai+Juhf96sOoEiTn6GrDq3DUEm4XrAlmET7UUA6JR6ph5yK8tILppCICInPaZAohuRNJ1D8KMYL7VdAHFyA0mIZEt8B1Nya1BvJNXJC75CmdkrlV3XxOE6H4RtPy3Eqroi+1186NQUQS8MSUYQFItcvRdQlrXucNczc4YUF3RRa1/BNmKtELQAXk2GcADtnaai4K7eutM1gpFJ+87WWNOtE4ekmNjiM3lwIoC0qOsmAgIoK618xQh7AGJbURNEmCpUsBf5plw5kNZ6LrG848NJy5e+ImV4W1nsdDJRqSoj+q3smNxeoPJXaAkOIWtGMkgAbg6Kfp7WC1Yqgj74/jVchJl534OmNMhEnU+u9E0HVDqJxBLIsZ+mqVe7dcNJkhxZ3oG7t0pKNM+0Ngl3fSY04TbWeKrI9eBsKtFTscQUExaqiXSFj+Uum2rKqYsqrIHM/QddMciisitq+F08TurUlTvKOSyujBQ66wnvxEDLLZr6FkSb1nhCwsKGznQ/mzP85L73u8eJTwhbxe41KhK8VaOWeBVqKuQmoAOmOaJl2mJtCtiqdyewjq07QZNpwpdW84s+FMUK/+Bt4VztzDYLhL5ctZJ0lj1SmFjPRciCOk2GjxGZpss0YCkGgmq4kENBGm1rDfTdhPk261DGMGNRB63Kf1NEcDgGf4vGOLjhHabsLUCJ0b+kxgntOyFWWRroctQho1UbQ5NsUVVgtUGNQZJA1gyq2kIbGnOdna2dxVMklB8OhsvS9bLAEUKohSb4MTxIO19ULKz6VrNCte/KToXrgdLVJZldfmE/1qyUoIbRj1qfK1VFqIWvKESL3Kxn5uQO9qwc/QZFQC26ve+eFgvpRAIkSe96ApZf8LpXyHu7XOy/KNUKQ48WIHsl08s58MZmBqmjKXWee9G0PX8BNBjN/+3mgIkXpyRsOGMxvObDhTjz8snLlXauil5b7m7pPFPSXOVo8N16Yi6/GGtJnVJCLKABbd0pRtvk653Bqwmwi73YT9fo+p2ZySgwfeRIyyRYioBd4BUGtoIuBGaBNBugukK3HprQ9ZTDxNZTRdRgCIX04Q27u9S4Ow2tBNxLYjJUwNReiclkYTsUQmXO1aqCLfMAKofIpqWX8MAVQDVVZkvVrBPmkItl3gLLjGJxFpvC8rptPzSC64kjONwUiCVHCFO7WoxRLW5Or4aH0B7qETq32VIqtLMgqt3TeOAVx2fblTdtmtf3WdNu/D8g8SIdtM+mJZvuieQtlwZsOZDWdO63koOHOvGIaqyCJSvSJ2bOzvEBwiCHeU75wmgLaYT5ubY4TSKV93C7UyYZss7fcHnJ0dcLbbIWu2P7KgGcjokQFH26JnZDpJ+oUaWX5uY1IHGJzRpunHW7ReANFAGCEBuBkQVleTPoMJaNwUMKRBc6lKKLLPBfqcWXX1DSt8pTLhlHfxVJZwtTmw5GWFvyvfcCJYAtiucPpoCR1KRaKom0IeJIHCRh0O97qBjLsc/c/4HXfKSlv8WTeIfpHfOhe8FiFs7C+1+iz2LfUHRWSkq/hLCKCuLwDPXJd/RkMqo6W7mvyftbLhzIYzG87cXH9Q5N3gzP1iGIIxVWMlvoalUgW89F3qNUVoqHxRclfLWqKq7DSjA5gmMiU+w8X5GfZTg/AMnudC74xWru3X+TRRt13pVugJkbpzSMCe8rUJiO9ujfm8HeCpXp25+alTbmKuQ32GiITrkuDRzgkCbO1kJ9HIhnz+mpDCFQKnMrkApBqC5YI2qjWwBI52sinOmkR6vwFCszSmJtxmeXskdFVgx4kiFVZJi+eM7SNT4NrzEbDcvbgk1Zoyv0mJa6mR53BgIgE6wMRg7hBu+mKglm2rL0s8vbUSG85sOLPhzMPFmfstq4y5IRT+lA7qTiPlXEqXECy1eLFqIninKJsTQArLTOCr62RqhLPDHufnZ7i4ONf92YkwX3O41WRkOfTpsuA2DV+XXVPrXwWyuTC3pslTvG+3kEyKkOiaZwJIBsaJhbBqlLJZg0EadVm21uCjGIJbiEniTJ8r5dlLhU16oLQJRv0UcL3O3XZ5X8KJ04vqdyrnF3S1TS1SJGJucySgRJv0R/29NqgZD1W4WyrADdZ0KFy2Z1h2dHfdLW2qMoekodjabma0zujUs0mNSn53DCPQJ1c2nNlwZsOZN5Z3gTN333wKiEplIJ/PyLjpHG0euSyw9cJ5p9lcdhlHZHIqoM4lqpCrpT41wtR2uDg/4OrqAlcX5zg/22PXGoQ7GmjRPm/jOBdn6oCGCCE6IVzMuxGhtUmvNekVI3pcXgTA58CUZA5ybmGW1nWtB6RAxSIg1kjqFsftd2s6AnB5lNPPocch/KaA4rZvPl9q46ONSbOR3+Iamfwjc+MGfwBqKcRkX8Z14xjk4u56YvVLcq60ND4HXTWr39O3+uMH+QhXtpRD6y7E+xYp//oREd24pndCXabWQIhtdiu6PTF7YcOZDWc2nLlf+UnizD1iGIAMwsFIsbKMBUirdd3UMmtXVLlaUVo9Z9a5J5xAWsMkgv004fz8gGeXF3jx7ALnhwN2rYHAuO7XEOnqaoNg8rogIQT63YKaioUWa1a9JaKBSY0a2NYygwBuDGKAeyqyQE4Zf5uZGvfAsoO5PCloeeSy6nJDawSihqm1U4pKWv76WBfnBDRX3wxYotXmra+L1hz6rpVBMwe0lm315w8JZpZKHK1aPCtGehSgeALHpELuUc13AYIhxX28a/LgqNQIHv1Iyjz6GEu1ph8sYGLM8wzYVr40WTAVNd3bPm5f16HPbNlwZsOZDWfuVt4Bztw/0+NKvSmfcnJsuE3yrCpoHgzrH4AuD7IaxdYnQyN+97sJl+dnuLq8wMX5GQ67HUgY3BngrveGnVdtwmxHNT5P+uFCWI5PbdKUrtDsX8AEgkXVMudM6JKBnoq2KrqUcY2U40SZpGRws3VT5nYSabxm+acil36RqYgpsl5C3uHhcrK26GfhjSB1MrQWAQxEceVpWQGI2kchrWbUGxmuZWuJ4ofPJSrAeTdOH+mr6E+qtJ+S9CMUushQzwlGD2p5N2XLgCYtnbVHHQARgxtp8h2IBqmfJGZ5YmXDGWw4s+GMP/Kh4Mw9YxgWn/BOmjV5262UVwXPRReuEBqmRpAuaCTo3LHbTeBZM3vN8xH73YSzwwFXl+d4//kzPLu6xPl+B0LHfJwxH19r+lRhXUNtFmtkDRd3CWqgT6NmbkIZqUUqJrE5iwsqxKz0hsakaUmFwZ0AYTBrogwRAXdPVer/Qfctt0ewlPOiV2gIlhSXngX2EIFIdyJrIbxkvws7TJqJRheaFA0MtlULF2RKmtDnOhC8tSqaJUdxZQfpfT4yaa1Fm4e6SM9H9LrVouQ195l99wxrbGutZ/H87S3q9I54gJyN0Yx97t5dCN6NJU9qVLGNFsoIBjgNVhr6tyxLsB1eVg6Cgt67JZ4RCHddqrffo1GDiPL/SRoMG85gw5kNZ+qdDwVn7rW99WqlsvKdnFmpJKoCeR0BoAYQC5ivMc8dE+lWsJMw0BkyH0EQ7Bpwtt/h2eU5Ls/OsNs1EHfMx6Mq0XwE+gxiDhcggdCEQWCbE9RnNri763YSpRx4H8b+UyM0bsAE211W7+i9o7UJgh7LohiC5tlVTGliaZDRI5Re8vm5tCoeClhf9Lai0AKzgjkqkFK/yvModgTcmHFN+56U8IQfDbkTXv1rQypSSgpSfpbmwIVASTueWbQQ6e+rL4zxxeFgeENPoq4TS94OnLgG0/epQHSDMt9eatBZ6XccowAyYY3I587AhJCdm9LnfmbLhjMbzmw4c8/yk8OZewQ9FkEW3EK0KhhFYVyITaV9zhDS0UTtvYk0OIhlRj92SGdMu4b9fodnl2d47/kznO93OEwN4CPm4wzhWV2E3DWQRzQBS6Z0NSva27XSbFXylZHLkojuQrMUrNJUyE75q0fY3Jy+5Em1M0zL+G8k10KhaxsW+XKpjAIApZ0jZvFMpsa6ClhgVyQk15qQqj5y1/WSSC37mxSYSAOmkqj+d4uV7OJNEsu36gggVVwGIBKrkUvFQmO7EwDrj9BdH88NylyBw8/FdsCl4hteazcU8XeBtpryKAFgZnQBSASdmh1vlgum3VztZ7BsOIMNZzaciYofGs7cb5UEKj3WOuI2GUXDaw80SAjQrGpQBQRjInOLyAzhDu4zwDN204SzXcPVsws8v7rCs4sz3bhFuq6DPl7bfKJaThFgZIBBBDumCqGWPwCSGAG4qwx2zaC8rgWkBG3BADK9IN2nfprANlfUWtPUrNCRAVtmcin531VobiDhCUXTonGZVwUAAB+gSURBVHV3Z6V2ZPyCaGBQcY25OzKZ4Wa+16p0yEqtr0SFDBK0IaLYAa81VehG0GOt3NMcYKzuFet1SOpiiuWDoXQ/a2Ey+lXNJIed+pctdkAal1850XP0FEpb2JMEzHO6xS9OrP/7BCXepPxq9euLbSbChMlePKQviydUNpzZcGbDmYeLM/eKYZAFsSqxR37ZJiflCoLlUbfNQtTyN8VjtfPm169B0G1cpwm4ujzH5eU5ri4v8OzyHBMBmpHCkqZ48BHrCEIf7Za+jyxsSY5k+5L1dJOcpZUfim5WoAuDICst81Aq3E1zlTdGY3XfkSmw2DXqgSIzNF1w6vPvxhE4aJKm+qxzpTp/R9F2v0XtShdZc5NZuwzpVp5PQS/f1rcRqcuUCLAoa8DnFiktf/+uCIvSxJP+CJCDlIpBpcel6yffJUCIbmAsglci6wpNcZ0BpVC2iUbwv7UM/SzfJMkReuTuwt7jRQTcUQw+Y2XDmQ1nNpx5mDhzr0yPQ95xGanrtAwi+r/kdyOWNnHvEGFMjaBzgzOO8xEyv9ago7MzXJwd8Ln3nuPs/IDD4YD91MB91uCNWUcGTXpshlLpqtawRHtccdUwXs6wef8Qa5WX/db/yeKn7RohBSVK669GIvvcIzfd5AUGWLqVjKhbjTRne/TBEqa4vEcbQgkzcKm0rghjAsXQnsoo06Q4RS7QzjMK16knqI9jzZW3lU8Uy9+VFtCJY3uA0TU4ZZe4u24UcokRQDQZgEgZTUJGWbylBF8HislI1+FBNCyRcrjz45Gu901ldSLyhvvKYba0rtSfpsGw4cyGMxvOPFycuZeHQQ1VStNlQW0qIqa/U2nU6g+uQHrHcdbo5SaMRoKziwucH/Z49uwS5xdneP/5c7UmCbqT28yAsCVZqc+25VPIiFgN/9RWLBN6Dgq+UJo0y2DuxZT4sH3FhNwysYFauArVnaZ526WZ0rGAyBZMae5OaDYVnUdywWkwmvr6n6FZ1k8bKVRKZxY17181i9dFQYrOjcWUlnSuEDZqaGWd9qjMObcIEGiqEbcFRWFEh/f/tuYpYPXonyofC4ELR05vS94N1zigCDDMUBaAHJQ6Rk5aXyrz3Qz+m6KWHMhcTmv7DJIhsLlGP7ey/8FnvWw4s+HMhjN3KO8AZ+6xW6Uv2LTmSCpFiHqaoIP16k30+b8GRu9H9OMMIsH+sMPZ4YDnzy5xdtjjxdUlDoc9Ls/OMPcjmBnH3oGYP7QdQyAQ4WH+UDO5KbubUPDQ2zPs6rYoDbq0pg2XNEB8dXQquOqKA5qmVNXI5QZhS7wC0i1Zm1qzLIxJmgIRmo4EiHSjFhsNTPA94BfRtEnWoHlV3UpzMWX0ObqbImBHu9fBIcZwZrSbW9AVVw+aW7Elfe34sl7HJhBX6IEDbA/tSKCy1wWaCOa4a+x5HDp5oMD9fVJvSe00HClQGCMl/yljsNLQn+xjZLnDslStWACynR69wznaMKkJmVjsZPSZLxvObDiz4QzwUHHmHlMSDb61l9OnYQpmO/EBaLQnelqJwpCuytWPrzEfryHcUZcyvbi6wItnV7i8OMPl4QzT1ICua52FBZMI2IKXNMkKg9CNIpbFSoBGopurONBIwySwXO3acA/0SM9WzjEF3YL51XR1ZadU5ibYYTJ326Rt881jTIk9YrtTB3eVJELTzUFEVHVF122LKAAxCzwLnTgo+nBF3DYeGptKDCxAIIVWDHR8vbLmjrf14mSjJIGOXmz5WbPd+gg6qolIZUVP/d4IOU5yEBD/CreeBa6yEgMcMvCF91X3mw3NIuvBZCRnJB0GRTH6Jbs8CGy5ZnstItgJO0ZJx1nHjsKL6qLVD2speS9H/qgL1K8ZQYKDRrYECkDLjQ6fTNlwRsuGMxvOPEScuYeHASHX5A2ONkoIToPP4TVdEwyGR542AG1qmLDHRHtMDTjf7/H82RWuLs/x4tkVzg577EjztffuS5lmXf8MVuvfRUFSLIzzavSx50TTGcFc/0MrLALqwWB3WM7a+VE5TGUIQF3HWkxNnYvNwBWHP/Jj9tlEwKZALkRMhNZcMCQsUS8CVbb1OS5ThnDfIVx/9bu7/TIq2Ryhzc6FwhbyjJiGStH8zL4OVxrw0ZK2iUyAVDeey5MufWpC6G9i3spRrcXlwcBnaN/ys/bhhkJDB05+L3s/XBdtOm1xHm+BU7x67We3bDiz4cyGM37Bw8OZeyVuqnOFTpAMHCmLT8iCVCCQLhCe468R4XA44Oyww/lhj6uLMzy7vMTF+QHn+z2mRuA+o/OswUd9thEHMOws523xeUSzhdMF4wt6gAxdHkN5VLEqKVMgQzkLgSvL85ha8kkTd6cB7mryOUkhgTTNwOLzjAKyICUOgSCpiVPS+peYl/Se3CRslH+uqEQBSK64PkdIsE1nCGUDGthv5H1ed4ACjYSpdFrXr6GIKa8rcT1GPn28tO5L3aOyuk1PhYfGq2inlBvGu5cN9gQrhtXj+TKHqdXeKTxpiYOLcqr+Soq71PwZKhvObDjjdW848+Bw5h5TEgLP7qXCq64lN6qV3q7M5vZhhnAHRFOpimha08sLzdF+dXGOi/NznO8nHPYTpM+YrxnCM/p8rXmwmW1OssM3idGAFl9Mpe0iE2w6YXxa477T2W29zG+nF7pA1DPi9ICKEcBoaLHUiS2RiohoshERDVSaVFg5RiZeoZhguAJr2wkAD5GzN9qXQ398LlCVkdLyL9a+B3y569Aut2VMKEDg30vtSyQ8kbuxncvTUv+9g9BWQCFLoRvIYYCTFyW/ZFHJCM9J46wL0SYH5Dy8Mu+LwOH1Zw6Pv4lvd+HpZ7tsOLPhzIYzDxdn7u1hQDxKBTCjf12xWJcqi4DFMqMRsNupi/Dy4kyTo1xd4vLsDPupYdfEFNYzqpmiis4lQjjmIikUuIfV78odgUZB5JyxkZVvXkLAV0m8sPiWx2lpO9rso6il39AQy4maWu5ConneXQhJlToeISpAmozFxzRigqsPIlkXJgALt+CKaAxolnXQIH5eRxnJNAI1STr5cihazJWdoGWFu5sFPPrvfZYVboQLtKo0RiX28R3lPKGvAc9+Zq/zq+TPYtzrfCKVy3O0t7T5w6We6r/yzKyqLpFD+e1zmE/VwwBsODMc33Bmw5mhfd7BnyzO3MNg6CDw2Jxw3eVvEc3NLp7shAi7/YT9NOHq4gxXFxcWpXzAvjUQOvqxg/sRZKMEVVBdBiXcIZanXcNQTJGLixARzbxoDtJqU5kzS9EI51nZbrPRQkBqt1HEsmTg8GVG1fKXyBEPTKJBSwINVmI1/QFhsKU6JWh3NNLZNpkRRu5IBw1yMvCJnO5rrac6f1iOYVR2fe4puEW/qNxXaDLqq1vOxYG5OL9GRQBl5OhnbgCoRV2pKou2+ygFlhz4BGz9nlPgGh4mTqcqW8blxXzv2r1Z66kSL0tdoz6q1FMzGDacyXo3nNlw5mHhzN2nJJhxkoxEuraRLaIYQO9HoKvSN2o4HHa4vDjH5cU5Xjy7xMXhDIfDQRWTZ11X3I/o/RrN5y/d6relTE0EaOp6RKyQ9QzgRZAFodApmDp/J3RztuwIulkx7O2C4VDwSVYCkpBziXHh4kYSCkWPjGe95KtrALnSi5iVD3NFkY0D2JjcCrM5XVVkaVUttaoKvT6DrLPh6vP+xx8V5U2lIPvHR0moQu5m961yJ8M3j9KtJD8J/F2UZkzKmHBbKmTzxwFatFiDvAYkpKpekScNfymM9tMEd4cLUHi/Vv8tpfoUbymymMN8CmXDmQ1nNpx5uDhzDw+DKlFaQwBEtwYF2/aZfVYrXYCpEc4OO1xdnuO9997TpUy+rzwR+vEanc2aJ0GbdL1wrBUWNneaclbnDrMNA/GCJuvESUv9DUQ5Oe0usJVL/XgBjmRuCjcthZtUSHx0QKx3qhVfLD9ShXOXoFrHpKMCAoQJDIbYitrsgLWHdElTK8Kdy3HqnKLPOVZNTlqEHKUfthBKrD68kbp3sWDvpArDg+SGY64oy/au3V6vW7QhosdvdssCSD7D+vmmjpy4nE9viPHIk/MwbDgznNlwJr5vOPPucebuBgPP4AgIggoAS0QYC4CJgMN+wsXhDGeHPS4uz/Hs2RVePH+Oi/NzTA0Ad/D1DO5q2SPcg/7dlJUkZCroHRKmii3l3NjfBeMWFpQH4zTb5aWOaG6dXbQ6mtdLqkyuvLY3nq7Phq2ProFFPAa2NHiq02brv22dN9U+IxSZGbYlqUCmhkk085t48JdoyLFvEbsMFJralMcIsSNctewpjqNkWIMFLjkxpFZbCK3XLViAKtstOmfPE1liB3zuMgcWNFTpn83AU5qDoLqERSQSlEisjV4qjzc6Woah3KRAZRQoFcRpeU+oYnncsk534WrUtcvKEvufVNlwZsOZIMaGMw8NZ+5sMDDP4KPuGw9qEOHI1b5vEw62fGm314CjZ1dXuLq6xMXFOQ67CW0iHSGIJz8xBXYtFI4/CtN+3Hg0+39qXbnlvVqoionVZsrhgu3BH7ear6tV32IVFvlxhalzSD73qe4u3WGPRTSJjCD7ToiobLO1AVPsNhGEFUBO3X0jeFULdVgTXUYHnkRlObe47DOsHcs5yhi/DK66CAlKHlGq0W1CS8gkNlmdQKO3Jq3bUugKCs0GRnpevWyPn1+7+rSst9Bdwyo7S5ehMX9wp9KNAHHTfOpTMxw2nLmp6g1nxms2nMkaf3I4c/ftrY9HzMfXYO4Q9sQpGmh0eb7Xnd6eXeFwOOD51SUury5w2Kml2XnG/OoafT6q8rJoNLJZ+RSBRf6wYllK/k4S+V7eqeSVEBTiutYRGQM/asXA6bkbyglPjGFkzw+r0CxdMabm+cQXHxlo4hAfKSxI4oHYMRrwNjTLZFb631Ixa/My6jcVndCKMlIocVj8lUgEROpe75t/LkYEYfHWPhgNZHnpraWAUdEH15EEAlk8LpU1v47tG+10Ad3SJqel+EikWPqjuBiS2lz7IGbyBuBfKSsB3J/psuHMWDac2XDmIeHM3Q0G7tr2WbfGbPsJ54dzXF1d4MXzZ3h2eYmrqwucnx1wcTjDbj9BuOP69ac4Ho/o3EGWtlXnS8paa4yWv0txNfBjum7woyVHK59ooWVrtBCrtApC3FvKQhbvXNxydus+mmuMHJRMTAybtolFbCtan1ckoIkGZTktBEEf4VRQl6PsS1E2VIX2Vo5KT3UEAYAs4T3F1eN1fnKAzsE1RyfCW9lzP9r6EiiBEEGEAZowyELQlG5QgvFaV0wqLLqtBOl8V7nTKwBIoX3pqDHsJmVes/6f2iqJDWfuVzac2XDmJ4kz9zAYGA2Ew2HCNB1weabuwGfPrvDi2TNcnJ/h/LCzdK2M+ahJUeZ5BndGk46p2WyQKCF0wsyU2JcsuWZZ1rWxeAJPmITB5g2h6VFjx6116z1YKGJJS2Kmb2GhWSDQ4l7glHHVpeb3hmDbA/1JbixW69kjkSlak3oQ7SAVYJEWIOAjAwIs0ctIrMGaj/aZOg7uPUmFXPaNXEkLAJiSe9B1dT0uaRWPlPwaLkQjxl1GWSftAtSdSlX4ld7kSg67wNdwo0TeW+787LPS10dkQ/9vbccIFk4n+OigFNdj+IYz9xwBPJWy4Yw9dlHnhjMbztR2vSucuXsMwzxjt59wcXGJF1fPcHV1gcuLS1xdXODy/Axn+x0A23P++jV4PsKDZHx/+mZKLC6FkRyF87cAPioIA38oLYTALUCIz2fZJeLUvJ1QZabuzi7CN5XlqCOOEVRYTkYlNvYhteyFJQOcTLDE5tIcHMKVyLXT9XO0uk/mGMvTl8dc2cg01iOrqxK7VVut/yqYXoe3NX/ej76R34Qst534PGOlr5ygLInJBRjqVk6FrWVUZpOBVfgubVqC5qDJGWhGUutFvDC2cnvZcOZuZcOZDWfeBc7c2WB4/uwZLi7O8PzZFV68eIHz8zOc7/cagDQRIAyeu2ZR63MkQvEZHIJApJveFsWtxTU3MmCYK883VV+SgvS5+ulWnox1+XX+CJuUC8UVGzWs9HmN8GvHaI1NbhWX5qgMUGmPjxJagBtbW3QQxEY3AqTZHZzzjhQ1YxDIaILtl3ejIq/89v8s6JfGkwtB16dRmLwLAlFe49bwXYV5dXmagaCs+uhSoW+bjzsZJOUwJJ+3cqg+BgZgS5dvfXij2le39jF8buW0bDhz87ENZ4ANZ/z8u8GZOxsMX/iZn8bV1SXOLy9wcX6GXSPsp4b9bgL3GcfjK/B8BIQxEaNNtnoJYrvHEagLRHSLVdhaZ/GJMv+sfycEB5aqlJb0uoqFNbjC3FRmsrk8C3IitRarvTgYlytGdlXmNTeQ2dj2nDxGNt8kpG4n3WZXt6SlWFjlNWcbY1mM5DP9KflsAlErzaRVxR1+m2Xvl3l/HZQc/PyaeK4sKilkGihR2JrhQw1CvdBYyqcrl7lSA+A7dMFTMzq4C9nASIrLEBwAGnPUA97LCSVKdly9jpzdpTelg8Efe5+MoVF+0CuRE+KI0+2JWxIbzkSNG85sOLM4+e5x5h4Gw59AmyZM04RD021RIR3H19eax507ICU/OwQTFQW1vO8kbDOEJSe86PwaSAOQcmMXW8pS+uasJSfIoGYAXKFKvm4PuGkIGQu3UEYVN3UvmeCDKHcfw4qhCYwMAeA53pqbd+QtvqloQhqPxA6QmAAWW1ImGSzEbDSjMtJYjmoAUGsn8tDILfpFT2T4iI1gGtqw34qLsQt4MwBMd6EJb5sW1RsQGRs7yNrcABJwszX2YqBDmhaYIGik93M4m3XZUrN6CYIuPOK4JYlBAFuZx5VRXSl+JwjGubiG4lohWVxmXBjQ3WXUXMDBh4r6qrBEi5GQLOt/emXDmZWy4cyGMwN9kpY/aZy5+5TE1XkIuD+092O4BtX88aCi3Es+Ghj+LbNaw01Y3YWSNA0TDZp0Y3GlX191JYX75rznUVaGAg4SQdzBql6rYnm8WHpwxaLhfAUSzz5XHhXnnMV1VW9L0ocFPghQfB3n+uyIAsKJpLiVjeHa+CT/Ver6oV9qy6S51gcDUFNzu9Kjg13VyNZBe2vMojf47KKqDW6IWC/zC1Jcn4q9nEVMOqzRZ0VWlki5RpMVDF91K7+xoqdTNpxZq2LDmfuVDWd+XDhzZ4PhME04dk2CIiLg+QiWGejdrDC35IvyQuxnWugROSypeBRMwWrnx3K7JX3vQjRIps89RqrMOg+5dm/9aUJCFh1LxTW1vCXPCXyDEf1LGhLpNrCemc2tWa8/rVt/froCtRoankuL69f6kBcPjXXqLC6r7sK8omC9Cm6gY3X3+W9Em8ieGdlhQYj5UVdpyVak2zCkC/WCOo/s3RZwPG8EKVoVHz0zoOxIgxOqjOf8/I3XUKnytsqeSNlwZsOZDWfioUmDE6qM535SOHP3ZZXS0Y+f2o9uLi7d1Y3ckhe36J2gRTkFEFvalKR3C12Gj8WTb2vVHa+7Y6mMB4LKtykxxU8XDkAk2XeblezKnNdzWvVWmStzKrgtzakCsKhzUIxF++5itUd0clwr5dx4fhkNXYFK22rWdCzmLjSDKklDZlnz2VQ2pSeCWfwtlU7fAnA370AGI4qAEOjoXys9ojaB2+MoVnkdASRwyE36/kbxi4FaiFaJ9g7go8SY26v7zJYNZxZlw5kNZ4bn3kbRHz/O3NlgOL7+FL5rXIOAmoRwaRpW3xLWOuwKHYR120zv8+CRlP81F0r9fZtG3AYEY32jopw+zS1+uaMS13XI2Uy3+pf3Ll2Yza7VdjE3tMZxn1rWqsQ6rzi6ANfW1w5WuKwdvwvgyYqSAqeKmsfj33L8RJmBQT2aEHqpL0YSzVyFTBBMg5J7yFKsk5eUGq2qRf36YZb+oisazETQJ9ndPuR4k1KOT8jfpqlVFqJK8SvlBlnfCrDhzPi8DWc2nHlYOHOPzac6fK942FyfJiXx3xwKPLps3FLzmNu0YAG8Wa7k5MsdblqvyGiaZSmoJhQREX0H9+BaWVOapWLr7x7H9RZV4jH6WO+ZpgzyuUmRl1RxAR2VUlavtQqjj0ulHIcZFbyKezI7F/dUZY47YxQzoQnK2ucc0QgAJsIE6KSqkKW0zQAyX/pFpqj6DAZhOt0cZtC6KgmZK94VLT/XaFSo8GadL9caHbKhAyhvxcqGM+v3rJQNZzacWZYfN87c2WBoJGCeIZajHXBLz1yExWXYxKx7IJRYTVsJJp7alFaKjq8r8Q9TToXw1quLxR9svWkUMNwzHjt1o9HivFv+Wf+ocKoozuxIJBL0WbbnFjrR4svKpV5dOM6qEixGOzeSYvRPFqG1Q0NiPXshwNYTi6CbQjMJJvIrGkDNgtI0KOkoGkndTDFdqpxS3lq3xpWJ9rTgrY9HynzjoMyFNhWU/TmSV99Wbrtm6TJ86vbDhjMbzvjdG848PJy5ewzD/BpTa2Bb3ywQmy6yTV0Gqx7QzV6AaunLiasMJVPVifbe8PtNx5afxjRx4NEzQxxttfjXapayNEUKCA1MWE0BEkeWgUlD0BBkUA5laFnLW5SoAsqyuTrf60+to4z6PFm9V0+O97y50ElbBs7IOqdcsBssaAsIF60v+5rsF4MwNQM0uxcMTCaDHTJkO0veqMw1kC4Zq90LIunyqfHudS7WPsWLqPD8vvpX3YVLWXjKZcOZDWdOy4YzDwVn7j4lIQLu13DiuNkz5enSBrW8GGrp+xzkYtYniBISK2JrmK1jzQYZYZHaV1mSOoXAf1brUqsod5T5qHAJmnuMqjYN3c92yuK6UcGW1n0KOtG0OMvDc3zp01ioXK0bxkB0XfXQQxG01kqbaDiXz7j5ETftoubLhzSWWPs4Ri7XPliAlQN4fTaAZnvKkzQwaZ8aBLQjNBZIa+gCdCFMpKFKXTSimRm6u11raEK6Jn+evZfwiTyJvusyKLJ19yIAJuuMaBv0HpdiBlEDNQGh+fsn6kI+Kcpk67EjoIxkAGyYi1BfABKb/QAJqulGlQI2T9Rw2HBmw5kNZx4sztzdYEAHYklTKWGtOOPqNbK457Rx1WoKcTi5bK1Td+8oYU16717eYAuuXA2Mwu1tWCDQogunSmYW76AMajEOHrkivLWevG1p8p408dbjI/1OlXgIgEKRXbhij8ocFq/ETvOaqtaqaSIQA8hu9e3sGiYCi0kVEaSRbmMcvfMZbHX/TdDXClk94cKONmiok48Fc+Qwki1osKD7fctdA5GebnzDhjN3vxrDHRvObDhT7/lx4Mw9PAzdvqykNRHjmn2qJVyWQbkqkJKZioCd2srI6+HzbuXUmkySP7MeWiFYGOsUP8mt/qUW+Yhg0aK1Vq4fyfGGBsvkCCDbs0gwUjsgXhdFlRqIY133IVA87ZTpPua5SXBOBHEVSDDQZqnAp+DTUgCXTPEKTg7ZDGIjFZcGgBmMKbrfIWr1C9DAmtCPAJomTKSZ2HoodPY4P7WtHioHrsMdt8pz2VOEfhEse5wKYoOPbJw8SSMZnhgEWHy7vdCdr/yMlg1nNpzBhjMPFWfuHsOA021g45Hiyqx/4tb+sOlLDfhANtZdLJXyVUiLPg2EWuvv4thSUKlaqXebPBsUelDTMsc3Xm6McyGvluKJ4I8dGJcqUT4etECNNtybyVvWBGAZJLVs8xJgRqVdtqsqcAWobEs5dJP1v2hCrnwWqPdOn9HgmdwRrj4RoBuaETVMAGYRtG6bEostHdNXhlFJV1uzZJtEfK7Y+6LPaaQJXLCgB8Wndax0pKaFORFJA67TYKbk2cnL6gkbDRvObDjj5zeceXg4c/ftrcUt9qWF7IRxm7RQ3K+2cyqU2Zkgi7c55stooGVm0HqzFRmHVy4dfvtBs/pX1dqlcqHMAxXMreUnT3RbkLlWl+1cf6qdHDR3RE3Qon83MV0wttjB5WalWtP5pVtyHMmUk6V98Uk4ZUZ9hPG1bHUTNdgeevDteoVENw0EoZEmeGUBSHTLXoBBXd8NDWrciz3DI78ZsOAlAYltLON9cTEbdhUcwrqivugundrqa+8IPXaz+y9Eub6I7vqy+QyVDWc2nPE2bzhTuvtAcOYeMQyj7YLyUNVTgoivlaZgiboMy7WlvhNQWClOgPLUoRY6oSJO5PqEHtX15X8/DDgv3InLU/6oG0cJWKFAESqYlS0nHdRRVD7DAXFNSKrCiXknnZ6nbVpuGrM2enLwOy2y+Kzd8jaevgjGZ5klTIk37EFGYnOQIMyiyuYJWRQsGxgcc48NBLbkLF3E1vP7i8cfrRVoEJwCio8GcuSQ0k9G9yV+JXS9Ye7QXgxL698pMALvLfV8ZsuGMydlw5mVHtXP2q0NZ4wQPxacuYfBcFpk+Cet/fpvRiwXs99HELZ5iwvtqT7e0Jmwxh0d6ISAa9a/W/r5c/x9e2dvVtp6iT8mLHT/t5qMdym1nZ6RzWpl6y2WylHnKm1EEq5LnILVihrbHm13a9ey/LCvN6raVVRG/9WIdjGaar8FHkJEEAte0lsaETr5PS2sf4iA2K1/n6MtSlNGgUugr3K1mvVuIbsnfcM9aLMquE+7bDhzeok/ZsOZu5cNZ+oNPxzOkDzNUOytbGUrW9nKVrZyj/IGM28rW9nKVrayla1sZTMYtrKVrWxlK1vZyh3KZjBsZStb2cpWtrKVN5bNYNjKVrayla1sZStvLJvBsJWtbGUrW9nKVt5YNoNhK1vZyla2spWtvLFsBsNWtrKVrWxlK1t5Y9kMhq1sZStb2cpWtvLGshkMW9nKVrayla1s5Y3l/wem68Qvt55ktAAAAABJRU5ErkJggg==\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "aacb0880"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "cDUsj9wLlAIj"
+ },
+ "id": "0068e1a4"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = HiResCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "IYE3yaBelCBK",
+ "outputId": "5fc12b6c-57cd-4a7f-a05c-c886d57363ff"
+ },
+ "execution_count": 15,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "7f9f06eb"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## GradCamElementwise\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "nx0KTlREiony"
+ },
+ "id": "725903e4"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but element-wise multiply the activations with the gradients then apply a ReLU operation before summing"
+ ],
+ "metadata": {
+ "id": "TKIQacaOmNJ4"
+ },
+ "id": "5bbea024"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import GradCAMElementWiseExplainer"
+ ],
+ "metadata": {
+ "id": "uKSARiIxmS26"
+ },
+ "execution_count": 17,
+ "outputs": [],
+ "id": "17f84084"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "2XW5lY91mb_f"
+ },
+ "id": "be030864"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMElementWiseExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "7mmXgmWEmj3t",
+ "outputId": "167a00ac-b4d5-409a-db1c-0a7f4aa0ace1"
+ },
+ "execution_count": 23,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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Skscg2iQvl4w5EzBNOqMgQSJLmGPdSOB4ppptUwB4hF0ZaPvsTemTUWQGZ8ZclBrEhDxu6oSLfLMfxMRVZ5EEdV1jOH+2kNYJKqupM2YH3SAhZjDtyBz73h47Pq4OsHz07HUtK86sOKNlxZkXEWeu5PToZiNpokQp/lHh8lK9Q/UXbLBaLYcAmJMwmFVTZlLh5aSmImaAIUjIIGOenDNKnoPhRAoiQpV0cDxPeS4l1qlQMtgEdhgYaRzNaciTsOiaZVX5fbDdpGfhMO7Ik2czJxa9r+gMAQA4Mdy8FvQoDYOI+w/7JiyuhVcCOZ1j7Tb+6vALEHG/3TEwhAAeRlAakCTrLE3UhOezFRWOgoM0tOi/d+0g2DglC0njoAuxCp92V5BQM9RJ1nXNOQuwFxTJGEuGDKPOAljBxWPgQ0gtHW8pGbv9OXbTucVNC0Ce8zXpDA9qkuU0QIrg7OzMUv2qQA8DkIYRTAZkUmwGZy8JSgGyTssqmDqePgdciuARh+cYyYvLxf7o5G26UWXFmRVnVpx5UXHm8gpDp8245LaCiq69lQyuQYulZq1anus0bkkj8hAmxKYtDNjGomSavlia1VaI+6f2zW5J6xqjxTmXggzzJyIKs1OrjREoNo8hpjjm5C/uCZw1qQubqk+o64YuxFmqQKhJUxpTJ44LMsUPoxvV4XAtO2hP3miAAUY1ZQKp4pNoDHOspbnm757ENpvKeUbOUzc70LHq+0do2UNBm8306iDofZ7nOY4xSTgxFdJ1ysoxtbhpc84T5ln/cpnDpOjrz77rnTdmNiepeQZyEoxlBKcBg/GFJrlZ0FyKvxK6CS11HNEUqtf28Bo4VMfkqqWZ2dyYsuLMijMrzuBFxZlLKwxe3QGRYWtoi+d13a00gFlm4A5IgAkbtaa16ogUzxbd2tX3hxcP4dEKAhzikVQBIZDCW0YIxlWG9RY3w2V1MhPE1iETi93faPShDbs09W2p2dYEuVSB0WxmnljF+uFmSqdVA45BK/9Xul/WJ8R6VggcOdEFdT/2fhzbsCMCafiSmeIU4HL0ozNZ2pdia4VEApF03DQKNV2O4+hWyKBfKRnzrGuHBQqGNHgiGJ0dzbZ2O0175HkK0HUPcF+fBDXgXQommyHOXHS2wAlMhE1iC3/jxQuoaRyAdgtbq9R7E3foY9trdOCczy4ql5LtZwGAT3BZcWbFmRVngBcVZ55te+sLGndReIazjmpl1mnWT2YXuFa3MiciACCxLFuaEa1IMWeXSnAy7m3nGYcNqMdEdJ2qoM8KNlANPwIAYoKAbb1Qa9dYbNeoC5CtbVy6LGPtZxEV3JJt/c/jo6V/fhWzJV0rfSvLVKpGv4x2URu1J8j5qyt1XVEaUOoVzniuja+DhYj2JzbZ6WYS6Or0esZxXMzG9Lrs+fYBFE7gQkDOmKHCNeeMeZoxTbMlXzGvZ+g2ueq9zBEzT8QoJOBM2OeMPO8s5MxmXcSaupc9wYq1xc2uAdZHR+TIMT+z2OyWDkh+tIanhg7ewLLizIozK84cLz8snPnYU0MvhbnXWPW8unxUM1IkRoGZ7VB7744nIRBie8GLRCY2vbAKQii7/mxpmFM0nWtlyhLtyqY1kv2mopq/A0GkYLUeqZVPTV0QoMyqXQYDex/gAmyHivdLQt7qTEg8ZYkejU4h6BYdExfbaFH320tMLqz/ccyfa6lok+FVcX+jwhAqKLZzXBueBUhDC3u6aCIbomatsgMIBihp1jpYHnd7XgfMAFCSmoEthrvkgnnWmVKihM2gs86SoWZGMi9nZvOCtzjslEDThN1+QimCyUKukm1DnEYLa7NelCP2vXZyVj3Nl3PhgIKDI08SyaXArorC5cqKMyvOrDjTH/nrwJlnUhgufFijOXbXO6PR8tP+mMMpyZnZ/6qzToHATWtt3V5K/FJHH65b0foVotJN0vfBv2qYkueW161rW+YtpWjecDOZzbYFrQuvx//qRi+H+l6waWBDBOBo31nhAkRh6quo1MZpV7NYBTzrU9sve2qIG4kKvwmXA2bHut5fYXDS1KqWLiZAr6rKYlhk9RzR9OvmNwWAJrtJnCxhTQLZ5jreV99yVmk4wzemyQaYDAIs/EkEyCQWypYidIqIw3To5t15zpjnCdOs5tBxM2Kz2aogczPrLFX8fLx8zbPB1/rlmFrfXPaE05cT2husQKw4s+LMijP25QXBmY/FwlD7FRJxpD3KvakRajJN28OcVKdVNT00QbU5LZhEuv6FpmXavhLQ1jsLAK7mn1Ko7qHu/O2mJvaYXNuBjrgOsguumfc8WUnbLjHmXppLlwOWnFbNTAOAeU7XbXbdXNrV5p30E1TJHZ+ulVP7bAl8FNj6pqCjbYFqywQATEhIBmhUmdKrKy2w1Hq8Hd6WPM+YaNakLuLpY4Eiut8Li226k1SI2VLrCRDJX0RU88+SdSZWCEhsIWHutW7JWTjZDMP8i1npkBiYpGCaduBzYHw84uTkFON2g5FHeIa4Gq/lHbN6DoQYjp5HTtRxupQcXiQ3N1hZOFZWnFlxZsWZHy7OXD4Pw9FjlUku0nJaYxK7oPkf3CyHqg0vaiHAQoiK7Vdux5t6ggBdCq2G8ZpYZ6HKxBL1EICC7Xaj8dJp0PAbI6TYBi6zZzQrucm25lrrkb6Hna9SohWuVken5h4HFWUEa4MLid8pbdXL+nDwm/w6F17u6/ZEKzkzSklKbykoQjVVq80KqGsxAug6QHNBHgYMs+a4z5bcpW2Zj0MFHwcvRylbU3bnMyIQGRKAkJjsK3XgReRzQWs/qylxvz/Hngi73Q7TtMc8a056TnWHwMbKi7qL0bEB9k4cnjLGPHLi2HVXOH7Ny4ozK86sOHMBgV8AnHnO3Sql+9Yy49NMKEwUG6d4m53xudH4S6OxOloE/Tz7VgsCARZ6cZEalCzQjUucSTxJS0oDxnHAkBLGYcA4DLozncBMf8WcYaaazazT0ozBtBPNYVEt3lpX05/qP04HNnRzBqyafyCeCRCH6UxLTbah5jKt0/elp6ApmhmKLNpoJlQqkQo1tGtKzRiX2hYHJe86ah/bZ4mooxK5h3HOFrfujtpi/8HAq24xS6DoM8Ez7MHMlSqcQnpYvxsIiMamD8Oogtw4mM0lYxw3mM0b+2x3htvlJUzThG0akGebZbjWzpW+zRRncUgp4bR9Lh8EoqOz5ptYVpxZcWbFmfbri4Ezz7Uk0QpvtMX+fWJ/7JyIhPC69kgkpgVqVjX1+Mn1OTHQy0QTBZ7RQk1R5gmb63W+8YgABiKq5W82I8Zxg2HUpB7w67KuZ82z7nc/m7mrzY7mwkbSCHO0daEdA91AM3oh5vazMReSTxmaGYY0JkMpuv6nzj3SOGI5LfU+TwLStkGrEct620yZiFETuuiaa7srnztmcdtHah3RKjBFPHLOmnu9FNvlT2nWbo4DogZ00NUd5jerW0RQ4jY2wEMA2EAEHtX7XDfnmTDPGXnS9eDZwqcAYAiAb4oI3OT45PIxvuRvqGXhSWXFmRVnVpxxgn1M5Rlx5mOPkjhWKhMDzcaeSnDX6gWRvaweMCOS9PVcnJVKKoOL129Cx35MmW9MI4ZxxDgO2Gw2GMcNUtJBU0YrkHZTlaxbonbONt6pptUHfY4DVTt26FITnDOgOkGRZTTz4yA3fwEQA8gmZlfgpKraNqHYDAchxD6nagEjKF009aqIQFg9usXpLBI7zhXLlR/jArPYiYBkOSYcMxhmRhJAhoJcECbDyM9OZF7HlT4i6EAh6GaAVkW6uYQQsxcAGIYEcMJoGnopBft51k1x5gn7/Q7n52cAAWPZVJbrRrONh5bFb7uynQy0/BG8cYwz1vJxlxVnsOLMijNdXz7u8teiMLhGHAosgOicj5rntTAtX1pBDlufeHX1XgCVuA0QCOp9VWEGDwnjMKrwbjdIQwrNU52MCubJ9pPPpUl+stBEu4YcmQWZwIQJEHVgNYJKhZgasyBbClSKfPbNM0hMuE34XZDFvaVhZr/qLVy3fDUaCGxf+aqVN2SNPlZhMO3frYQW3qXC7+Q2ALG0s5V5C0QsEU1iA8kRA1SQB8/qZqPka3qAzrp8N8G+mOiauVEIMeOqMwLW0DmCxkunASCglC3mPOPx2bmGTRFQcsZ+v8cwDMjzrN7PNlZ1+xlEf55Uesi5ZFmtCR9vWXFmxZkVZw7Lx4gzz60wPK0DvearB5QNdSTEBsQ19dA4TZDVC7kVIukwAMGMErvAuQAHgwEQE4BEjHEcsN1uMW5GEEi9anO2hBsZeZr79UOfRUQfqJWvaEyAhTNVo5uqxu2Xkk+D7LjtzNaYCtnXxBr001zqVfONXeFy0XAgy6Lmpk01kzZg5jSOdbp+5IjQaOu+tlnHIUx4MR6tcU3rCVCxGVtYNEnjrz0Uie2ETRwgUtSUmzM08nkGCcCsZkqPBa8WRbI10Qp4DorszlxmXiQAQ2JsNltsT04wzbOuL8LDoDLmnNW0mIaOJnLk28EMgGDpiGvp1xipZe5K7P6Kj9PgeO3KijO1oyvOrDhTafnXizN/9RaGRut3xq3MZQwFJThIN3dRhT/bde46JMAB2ywYc6H5kwuBMWaiAeM4YhhGcFLTmHsi5zljmmeUbOlgS9X0qBGsGp5EIWiN3glf91r+RZvtH905jw9mBd19vuNZ49AEUgH20CF3lPL2uxDnPPeCDLjEwB2spCeptsl27IttftnbtEw2YlXaznS9mc0fZyZX23SmJICT9dMEjeAZ0AgEwWw8UxtmDlGi4U2u5QP6QijNWHQha8kC68wDW/uHMA3LtLdNaNQbPeeMwTR/r3852wveCsawD6HYfbkxXtqBlt+bm9pLFp9reYay4syKMyvONNf/1eDMlRSGTnG5wn2VORe1uOkPbX+dI6rpKP7Ir69M3bVFmi9uPmJNC8s8YGBzNioF024PIfSasmv7runbk0TEgpoPO++C6yB1oRB3Qm/MTwWeQCXoIDrTIaePm8WgWn67Lpdnbfs8qRBrDvSpCnLxGRTik6Rq5IcOP+gE2bfkrQ5SXHO5SDOzEgQoeT1evwszZ8HMGZyyeY3bNr9cna0IhMRuIlSNmgnI2Uhu/YlNW5rkJ/AZRfdHsfbpr4MhJQxjwpS1vb6O3Ma6UydwMXXpebeOWNX8qRfky2jyq5JwWFacOez8ijMrzrwIOPMMFoYn7Zd+cSFUL9rlBjJVfzNvZYgdKnHOE10cKE+ecvWgmeLNNVOTbkkqZo4SqEFKiqeClW4XOW68VjtB5epA1HTuQKA7YSfVau1HrXPZZNTB78152q6cVYinacK0n1R49xN2uz32+z320169c3PWDXREte5OkP1Bx0aRYOFfJsQpxQyAOYE96QlZ4hPHV+hWwa2nNYEtt70+sJQZRIyUBSUlcBLdArgUwARPBZcAMMRmPcWGXkPjZ2RbvxQBiKWCnQGNe357Ln6GrmVK1lllYkIiRmK294XTyBywSobwAH2R9GN2TJir0Pfj6uFmfl/nGb2sdi1HyoozK86sOFPH1o//cHHmSgoD4UAC9fgFDUswxxum2LpVi6A1/bm2rcOWrb7FdrKlWA74aqorWeNc7WdvhoQ7o9h6HGs9IhlzQZivWvtWK1xFijJVNFyg6WMBYdXYuRVYW7hT/bWYYNt6oWVW02QhboLU/fdyKWASjfEV0Q1PQLqeam3LOYfQ7vcT9rsqtNM0Y7/fY7ffY5om3fGteEiWeSKL6711/XIxfTGwsf5MOpjMuuf8MPDCDKeCJ2ISRpr5LKWEweLLmdRJKlu4mdJKw6q4AJIFmc0cbM/SWUcCWDfo4XFQoS1i6VYnZJE6qyHNFa8Am0A8KJgk3XBXHZqSOXYJhkwYU8I4MKZJ89GjCMo0Yd7vUcaNpmqzrYnbUC6noY2kE62KcENOcV6yGZtzRV9aXjhWLjNvuJ5lxZkVZ1aceTFx5goKg28te0z9rs1Unpf+vrZRcb71OPbtTNvj/bPjiY3QL/SpMPN0Zjrn4IImnKq2NQan/RFPFZiLrGZ+BR2AVT8+LVr1I6u/ykJ+jBlahoGaAwkqCKVk7KcJ036P/U6FeLfbYbfb6fFJ436neQpzl852HCglaBYGM+pDkdpPXetTc2JGxoTJFWu9LrEJ7RBMTI0g51xQ5hKx2s4LxRyphASFRM2OJEpef/5M4KSbtfDgG9WoedJBZMoziIB5zh3N1Zyp8fXuzOVAW0TTAjPpGCZhDGAUzCBLU+t7CMD5kBo9vzFp13/rOnI7ztJcEbHpzcygZw0PoYrb49uxmeHNKCvOrDiz4syLijNXXpKourU0R2oDwrrSNc4FAoh1Q1hXxZjkSG2d9t+Y2wpyvaS9lxAapENLON40Mw0deP9aB6aHheYRfps75phA1+91iGlRpxMkGIJUkGwHGMvAZo0XgeSMUnTtcC4F8zzj/PxcBXe3x7TbY7czTX/OKjjioU3SEt2ADwdjQiKezxRFsmnxRhcLdSLxWUM/3pwYkjJKno0ulrWNdBvYcZyQ0wBmdexhmJCKuRsRIAtAawc/pYTNZgTjBIyiXufMGJOuC8vePakrF7WC4ullfY1UW67PZk5g8rVNBhfW14yIzS5mjEPRZDveNhdOWjbWGaMX0iofi2svpcm3gHGzy4ozK86sONMyxouBMx9jlEQVSv/tepAyiXXa1g6p1fwj2LbGQh+aJd2ruYbehBCbYFKYm2wAXYh9X/iFIHeOIxdSr7JLlEaY6yHXBeOS6EF1+mmjbq1W0qMkiJAlzfqm5sHdfo+zszOcn50hTxrC5LnmxZxzErNuqtKseVZHIXPgkb4X1fGmBybAzXoEkcMthN0aW4puIeNruxl6DCIoqSDxgJR0jRAEsHAFK0/M0lDYoq6RUt2tblM2SEU36BlSqogatK+x4tJOJIEaIid6mwq45oQfBt3FLueM2foyzzN4P2MeMigxxlRDsXyjIn92M+p4Yuml+qmFLlHlWlacWXFmxZmu/DXizKUVhuozenimb0l/xs2L/l3rOdSNqgB7lVXfdBoWM6GpQl2dh9g0fuKaO5yIULJ0yVDE7lW18VDT91zky9IOYavn+X4hfZtDkvQ3VbEFTOuP89BtTskgzJK57OcZk60X7nY7FeTzc0j2oCAtzGRLmtVz19dXRTIKuArjcsMc9wQnBYBwMGoE2jXiIo351vrloOXrpvovQUqJDYCJbGMdER0Y0ud29Rm3+9aupQjmaQKJoMyzhiaNBSK2RS0AJvEHBz2FgGyAVYrub8+Wdc/NptXRytdHCZQzigDTvAf2wLAZQAkYBlunpHgdwSP7e95oxtclsWUr7/9F5WmCe8OWJlacWXGm7deKM976FwNnrmZhMGlcKJG1K6JrRz3rVoGWZk2xrnOhEQL7EyDSfjX3w/RDHRzLjoYCUA1dAaqmHctrR0pNPeqdoD6iKWYGzqRLQjg7NzSI54puUrJ8aDOoQmTmPY3lKaVgnkyAd3uc7/e6jri3dcT9HhCAScOEEnFkrVOGa51n3KlJTNOW6I80wBoCaSbCWJNteimWc99nXJCiwxLreTV9THTT/uPFcR8UH3ICWZrWZkZiwjhNk5GsAmMa9CWQmMHOJna+iNge8wqIWWa9nymGmaG5/QdzmkrzhNleDlIE8zRj3k9IKaHMBcNG6dzPUprxRn0vHBvmYO0LhVF6xlry6g1TFqKsONP0aMWZFWdeHJy5+pJEJ8TLJx9KTacEHTQUgG3+stw7Xm+ugu3CGQQMTVXXtCJjGLDY5a1d/wvS9s1wG5g/w5mZqgMLQKBQacUkXQ6nA13bESDj571u33RmLkXNf/OM/X4Xnsj7/R55njHnDCkZAycQNEyHU4rQHheoCDUyoisNSt+nRihqitR6jrp+UFArHJxQE82066qRm9365gI+JPd4rvWTCYYAXbraViDFZ3hSUPIM3ahWeSF50pNU2xkvChCKmYWlCCgDJGzrmaa7k2r/A5OZCwsmseehYL/fgYeEzWbCIDqjSqb+50PWQQhj2JqdPhyg6e288K2yLDdVUWjLijMrzkQ/Vpx5UXDmY/Vh0MbWeFzVfnVG4Kk/fY1ReVsHlGvCcNSZQTkSR10LUY3j5QQzGVWPXzFzIKDaKwRh1upMhGQMdain12PkTO2zmlZT9S9yfAAarTsmNqQmtZyzavuTblCyO9+pl/J+rwJstaeUkEZdY0uc4FupthMb16I9PEg8z7sUEy4+aJ43uQKB0UukAULUNVofyrjHtH9ONS4ZeoE7J/lYcTOz8M1s4wkNyBAIYrvP+rFsGVViNpGqp7V3ithnJogQK6FS64dAwKr9O++YeTVVQqDkApkzkEtVzElp4DH+0mwI4/J5VEzbKZSffZKMrorCJcqKMyvOrDizYKCGSf5qcebyCoP4hzsF1UaRX0D66YocHbcpNpXl0EJV8VZNte1/rKQ1JjZmNfeklLpdQX0LUb009NZai2nuwfzGfM4QwaCNuPraqGu5GvLUereKgUpCmTPmPEcMMYTASVOzzvOMaZ61r2Kbt8yzhjDtd3rOEr0k8/wV0X3eh2FAGlSImTi02FDdBSE8RITiO8HlErSNTWZQBUSrqKE1rXC2XOiCXf90bFVAKbKpsQFCmwHN+6EOYWqqc4AqTXvq7Ig6xu/bVHkhZhKwUDQCBmZQKaCBbLe6GSQOcAwi0ch1EgxDwvZkBCXGftpjKhJhVeoapel8h3GwTWoMzAW2M6H1azGzg3QffXkGOb1xKsSKMzcCZ76Y7+Fnp7fRCY4rgFLpR6Y9EAhUKu2qMkid/IWFyBQ7H4N7wx18/eWvrDhzQbnsLVdODU0HB1yb179WeQmGifOm3AhUgAGEF7N72cI9fJek0LrYZwyiGj7ENVU1t+kzF8S9qFD9bDVN1zLrZQtN3zRFP+q51gloGFqvliLIlDVj2jQh26xknmfkaba90idLrKLxwGlIGMyRh5PGIidLNkLQtTLBEZOoa+IiEGHVfEUiI1nXo442biYkW5+s58Xo6+jtv8nBwxSGlKpmz+T54cnaa7Mx3wmvpaWPU9MegWJ8O8NgIITJoTaGTypvMhNQdN2VSmkwQaA7FOqCbAJj4ITCwMwM9kQ0oqbbUgpguf5LKdofH1OdClRtnyqmVsI1LHbj3vrPV1acuf44s90nbLuTZBYaQph8XLhcMWwVBKfjgvyhwy3ybGwSYRyHFWees1wx0+NFPy664UnpXRvzoFHk+LVNqleXFCg5ixFdM3JVTZG7jGdNY9uPhsIOMwlV8yfyNcVGyBdeJ2Q3i8UnJ24chQB722oO8Wna43y313Sq84x50o1ocqlhS5QGMDHGYcS4GVXbT3X2DuIALgUPm/FbeyKJCPwlX0JL9h3oiJw2y460GnYDRmJ6emj/RmeR8JhOjTXBzY7dWq+0nubkLmV1IxV/FJE1WQDWkKgYD7tQMaKAxBKhNLOwbILPCaAiyLbxj8DoJf5M0/JBSImQZkIGMImZmGfCPO2RBsaYRxBaByoTZecfQihTNgrRJ2k7GeVCRncidD/pSdde07LizPXHmQ02SJNGAzRqz9Epc/tCdxywmrr6xdpDqGPnlQ9Dwsl21OMrzjwzzlxeYQg1B01DNONV3zhZ3LT41ZgCq+ZW46P7+6sndKdNUg1ryblEAhJP4tHWQUFRQj8zicqan6ZXNsfpIqqLmAc0QsDdZJiSO9yYEM/qFTvvJsxFY5xL1tdm4gQeNVnIwJbydByx2WyQhkHjvamlGEXMd7HlAZvsd4KMxipAoFj7o+h3X9q1uouYp3qgO7jZ0kOiZkkCVoebCnUdVVPklmZWBJQjzylFkEU9kFnK4ix198co2RAnYcM6gRDANkZzyUCxmGwCxEPdpM4WiKDL4qWgkM7KyphBJzALSlIP5wILzaozXbmA5SPfShQ5uAbL0zdQQejKijN9uaY4M+YxfA8Ox64XBceRsDBEE5cjrG1Z6hze/824iWMrzlxw7inl6pkeiUx4m2Nxzj6rfaa5Qhf2lu08EOo4Eyvc+rwDIRaIa2rWrnbd/LDh7Rpa83QDiB6jbGDdmQmIDGLUasHdsxMGZgy2WYrkusvbfppsXVHNiYkIwzjWNdLB0qDabD0NQ5z3mOUAGkEIsJsKNdTJd3tTjdhnI2jWFj35SF8WoNdq7Z36LnG5XVU3X0nJno8q2A3wiiR4Tn0iRGy2Wxrig9SRiIsgk0AKKwBI05yDsRVvDUCeBNUM0PabodvLUrE1XVGwcEAMVoCBbxHMZYLIVmOqh4RxSLpeOWXAttqV/p0BIqqKe50mNIXQms3j2JGvx2ZaN6msOHO9cWacUrWQNJfyuMXw8l0IA9O9D0C5gE9vId26BR4GQArK2RnK2WOk7Rbp5Vcwf3gPst8BaQANI2SeIPMMVx0E6js1DqqgrDhzdFguVS6tMIT5x1XA9omhTEoIWyMCzfX2tglNv3T1VGHuNT6txXQtMyX1HrZUE2R0JnVz0GsGf7n+ZT8OO9xo9Gb8iZa0yjVQ84+DdJOXPOtOb3meME0z5qxOSCkl3ezEQMc3UImd2sjDmTTMxndsA8G0djcVGvUaQVYhdv3bLzJHL0gNjWo8b137DYekjqcONexudZJ8o5+a970hUXhS+5NKYaRUApRa+pVmLAmMwgVUqhe2jrtbJ2obDiaibXvJe0EYGCickJBRsiVvsV32XI4Zuq6bbT0xz7p1b84ZwzAA0OxtyRIGt05c4iDb8pHPODvekiONvYD3LmsjvGZlxZmbgTPej1an2nzm87j7H/4j3P6Zn4eUgke/99t48G9/HXd+7pfw0t/+D5BefhkyZ0zf+y7O/uyPMH7q0zj92s9h+t7bOP+zP8bmc58Dhg3u/dP/O3ZvfbPDq2R0WHGmv+yqOHN5haEBf2qY+igVn1pZVHXhqVoklCVP6+m5x70Y70WFta2tADf5s1yIjfGXyz+R3tQe4mFbrV91rHe61llKpFzV8KU9Ss7KGCJq/hu3zXau9sdJY7DNhN/NXlzjb038oHA8FCQDHMDjsGN2AomUrWQ0OcBgvzLW8J5cFMx9VmBe27ae6jHSCuJte51e4s1sRxYAkCBVoEqBCGvYmpggiwC2jhpb0/vYLPpSCWLQS83mMkQotlMhMiyWmszpi8FQUFRrSMa015z6DLJ9A3QrXY/l9z76DgJHCBatat4aT6GyX2IgIUdrvrZlxZmbgTOJ2yUQIN2+jZd+/m9g87nP48P//l+Ctyc4/amfhuzO8eh3vo7p7W9jeO0N3Praz2H89Gexuf9ZpLuvYfdnf4LTn/tFbL7wE6DEePg//P8wfedbB9YfZrUwrDjT33dVnHmOzaeApScqHfm2LIKavKL+Btphoe5INSxd3CdLrSleh5vFtbaquTdtpZASl+noWMxaRDq2qGBh93B9+7kHc55nnO92mKc52szMGMcRJ6dbjOaNPAypxhUDNkNBZ9p3isGOR+uotklluAp521MhAiQFTfU5vYOYY9YR7OuLoAEKKHDYnu9k4GOUMFpVhUEjiQSFGNz1rZYETblKpFEVxCrUhdm2mLVc/WamAxm0xppliX6KTzD9PcOMBAFygTBBilpH4pkgJNLNgtnrK4J5ztjt9wAT0jSA06AvkWAUUnf6yC9v7e+kpCUsgSIrz7LQUaE9ava+AWXFmeuNMzW9tJ3fT5gffITh7l3c/U9+BUQJ8w++h/2338L09neQ3/k+Tn/mFzDcfRVnv/tvcfYnv49X/qf/c4yf+Sym77+N8Y1P4fG//7f44P/5T4CFrxRgiZQ4rTjznDhzBYXBNUpYY40D0Dv4CBDhJ/pykHDKiI3kvCsdR1HcKK5VN9qdartL4ODuxZTcDOhEs5dcItXumQdLv6n1MpOl2DCzGeqOcyESnrOcyPlHNXRUDXmeVdufp6lGAzBhZI1r3owj0jjidDNiHEZzmrIesMc1s01I6kyf2un44XBou6W2ackgIhwacmc/aPil55OLmYa676YQtI6OMRuyHfyoArKuuXHTTqAzNRhcJ4H6N5DNbFiduuoMAEgW4lZEE544vb3kIg2TKU0KBAyLpRdYOtcSE0CB5n8fNwOECee7Pab9hJwLUhowbkbs9hOGDVkyFyDvJyQajr5c2pQ9dQ5SD7Q079ZN0QxNM7u4WWXFmZuAM8mXQbyUGfLwATBNGD/zOUgB9t9+C/O7PwCLIJ3ewskXfgKy3+PRb/6PmH7wNj54/32c/uzfwJ2//x9hevs7+OjX/qlFYVH7qBhDprTizHPizNWWJER6GsGZZ6FNRtMZZFuMhsmkUWjbhvq/EWoHNw1Se/miTf1nfUmFnoWqL1M8z0GIbcbg6n3IuK9ntc11rS4Gv0CdYgvy5GuJM4gY45iwHTcYNyPGcTSPZPVKHtLQhSQJ9MVLMK0f7bBTxwMHpRFiHw5pzsFUempoStKa1BaVP/knKJ5J8cyYQC3p3B1puFfQLF+YGAlFv0uc8uvLYgZmO9gRQ4qAUw0B0zESzf9uFWrOCDMxFlg4v16TSXOpZWNoXYN1a4jWl3PGlGdwHsClaLpcWqxz1mlntJKOfDucDbTHnnzoppQVZ24GzlDzTAKw/dEfx52//cvYf/dbePf/9F+Bb7+El/7O38cr//Gv4MN/+v/A5nM/itOv/jx2b30D++99F8gzwIztT30VfHKK6bvfxhv/q/8Sj3/vt/HR//efQqYdOm2R6uisOHPxoaeVq6eG7jntyOnLaSrePzfrHPaNehoQ0LqLtoLZfkYryLOlGTM31YA8hagdsQ1mYBqmp3xVICCLBmhSntrOapJ1oPOkqVcZwJASTjYnuHXrFJvtRjX9xBiGZOt2dUtcj91laNhPS5r6+URi26fPfqShF3VAR0S2Rusm1ydxy/FnuoKwDHO66K6K2QRqvMf1N2LgY92WgGSf3kSyXfBs65Y6CxOxDYh0RlAsCgNFM0lm66fTudiYFVuX9vT8SyrE+i70/pzVA31IGSlnE2RfcnHwr7VEnccqX5SnrRvePOtCU1acudY4s8QOmWfIPCGd3kY6uQ0+OQWNI8r5OXh7gpMvfhkg4NHX/w0wzxhe/xRe/p/8I2w+8yN4/Pu/g/HNz2D3rb/EyVd+BtP338bjf/sbi+fp8sCKM8fG4vI4c7UliYVQgLo+4BKs1xXVPaU/8PRWNI9qhbjq/JFECE17G67uTOOQSCzk3sAlx2IRYFnPAIQZEX5tBtw7JqWEMQ3YbDY4vXWK01MVZM16iCahSSMk0MyHiVJdO3TFu6GFey13mn1Lk44WRzR6e0GzgWGkd77qCylAt1EWWsEnOqyT6tqpd46oHgdga6BNPwLD7YFF6aeJVqAORQXhkQ3A0sYSQDp+usZocxyp4V8Ont6f+kvbo7np1ayZc4714jzkbje5UH7CFNvW1cqFz7Oa60QO6HTTnBsvLivO3ASc6RQpAPO738fjf/cbePk//k/xxn/xv4aIYP/WN/Hwf/yXoDRASsGD//5fYP+tb4K2W2y+8BMAAe/+V/8H8HaLl3/lf4aTL34JZ3/wuzj7g9/tmlYtQyvOPC/OXM3CYMIRBEbDDNIwEB2y0hOL9B1109CTK2lePqgaawi1tfX4S5Gq+UkkvIxL1pzzdRRM25QCyoScp5r5rGgI0ZASNmmDYRiwsWQo2+0Gm82osdLWP4gJUlMYnkaZ7FwjqYfvXZPl5kSzbli7ScvT6EkgHZDVf5cPXnjkCjQNatRBzThLU0eLQNR/bUCGbFG0jrvOWtzBS+weEjMfWvWUlWbCpQfoRaulQD3KTfOHzQwcrMP4aPZhIjR+Fgq+2RPXWK78SJEd0goFcuoZfimScuzbEwS3BdIbWVacufY4w805AEApOP/zP8H03jvYvPlZAKLOjg/uA0R48N/9mlpnsmasfPz7v42zP/xdyH4PTgn3/q//R/DtO5jeexfYnR8ZUpPzFWeiPAvOXMGHAZHiu3r+Ng0Kgb7S8+OWo81e1NUymIlrbUsnxMbwpO3qtW0Tz1I1frGc3pGnvWFsD7UpIpgtXlaKavpDSthutjjZnupa4mCZ1IYUpj9bPQwatQKkG9xU5586Yz9OSlrGZfl99LTBt6QqJh29ruu3LTnRqSDdAFWnxXrbE83DtFBH2ksdiByklnX7o70Co5c7ILXjymTaDNe6xcyQJXjTTcJtV6WpQ5+dWEOeZpt2iJmQGc7vDW2iH01Hn0CO5eklbi9vvbTp/ZqUFWduCM5Q23srOaO8/z7O793Ty8zxECSQ/T6oChFgmur7dJ4xv/8e8P779gY/aBZc91xxpv9E/L4czlzR6bGCe/cCacwl9YJnkWh5Mh2o75ZtFRKdJfJtTmHHuV7nLyU0ZsFsaTw9naeZcPx+3zEOUK2PAcByDozjBtvNFqfbLbabE/VQ5mpuit3nSJ9JEMvihpA85buaSd6dAwMwu2GmCwkT4BPnVQJax65WOqgS4zijBCZLV69TugeAetMSgNpEfQpcOJiOOAyDahqd1tpJ7XFA1xOZIMKmhFdNnJjARSCsD2MDLSoOypqiGtAY5xgPNMl8mEFUN/iBmxkttTUE4GSzStf8mYx3qqBehvufds1NUxaAFWduGs74C7sWUUWhaU57w4VjVqRWdOxRZO/4FWcOaXMFnLniksTyRwP+B6aPixnv+Qo1/6JjyCrAqC+kVqtGYx60TFsuyN0TTENXRyQOAdfxKmAesN1scLI9wXZUMyETN0qn1k++cxuhW9Mib1eYmIJrK0M9C2na4ejqcNOpfhcRXOZB1IBk/f300l3T8oWgs5e24wSqSnt7DEB4I4vAc7LqTnFoEusQ1HGJBCyMQgUs6EOsrDkXmukIAcBaCjSKuv5m4wtPgFOnJ/AUFJ3VvHZduq4ty1MmDDerrDhzo3Bmee7ZFOUFziwErVVmVpx59nIlhUE1qUMBDsFZKngHrTMnGO9WUeZOUO9TwjEmRAhqWsQLu4bogqfL4nrQc5ovnUY8neq038dmSJ4NjQWa5riltt3HRBg3JxjGAZtxgyENugYFV4QrwLR8yHBHIM9ZsEyYovSghl51X7RIVNsQs6VME8e90CMPGUYOx8efuejrYt2guV66bHVPF2wHU+CN9Bi/uPleY95rLBKJ8GE5wW/tfsR62uS6C+1eanslTtQNsXztj2rtDu66o2aBjEkBYS7IjcWwjbEXMT4XnSH5jDDnrN7n9oDNuME0T9HL4pr/kfdZ8xFdeDrlbq76sOLM9ccZWgjKnbN7eO3B95aVfWxFiPGlb//m1e6xfx6c3sW/+Nn/fMUZPENqaMKitVW17Y4FYzalNaMsPy9+8OL5xzTHEGYbQN92mVhFwJyHPHRlmibkrGYv33ilOvERQJ5b3dJ5EsUub2kYMAyDpgD1/AH6kLgXoIUgLQeln50cXGXtWGqoFw3tRdrksrji/KTzT3rO08qb/BC/sP1BX5nVmEiwQWnWRxsaFcIWj/GPTr4Jd3T7qGzxG/vPA6jK/jGFvQqPAG7mJbuHCAwJh68kjEKCzAxmAWUDcht7QbMhVoCrzi7EnNB6xm2UKVvLPFYuBNtj1zYvxJtYVpy5GThTLRFaWArON3fwwUufXT714P5TmvB6OntiG6j5V2+6jeHHvqhbWzvTEHC/wZnWQdUnKncevY+/+ef/bMUZK1dSGDw9JlG76lXXxOLaC948h+zc1+89oMUFrZNK3yaYCc82RTHP19h9Dbr+k4vv5rbHPM2Y5z1ERHdwM4H31KmxTu8zAtu0xLdv1vAkjmvgyqZpndQ0kyyrXLffPUpopT29KMY6Mt0dHdF6LGptNfqLkPESwn6ZMEsC8Nn0ED87vnNwjiHYHHE6Uvr0DNoMN4h1P4lTmcMkuMFj/KPtN1R4CXhQtvjX558Ly0KtQ5OgZBtruEmWBSia+jUJUIw3igAD1JQ7EKt3NMxhyQFhQb8iObY2Fik6e2vOy7NI3lqOlhVnbi7OFGLkNMbvWzThVT5UDPTuS766/FnDCGxPg24ORy8B+AcnPzjAGVcaxvGxPXPFGeAqSxJhFlwaMZwBqzDrv9I5vcW1rYmbrLbOmUn/6TVj1+prLX6VmoMIbW5y1wYJwJxVgKdpwvn5ucU+F9uljesmLKj3wutszIjJtpMlIEyMTKIJQI6Ry+rqTIhx/ED/PdK3pUnpSVrlxb8/jvIjw0f46vhe9CShYEOmGDwBa7r+LcFdmvPe0QavGcAJ5lgL3NCMf3zyTWQRPCwj/vX55+NavV1BU1ygYQBKtt5o3uQa+wwMRSChxFjsNDxnfAmhFgiQC3LKGi8tgtRJsdQXW1Hlx/HgyCCu5WllxZkbgTPvv/Q5fHj7zajsCz/4ffzM+TcwfsXl2hWrZnCbiXf2djS4QoCt79tdrpwJdOewjCvjzB88OolrV5x5hjwM9WXgI7RcW6Q6eF6WM0vobIHauupwdILaSH39tzFbxoYozgTkCUMy5lwwzzN2u13s7EZEGJLtD59SgEk4DqHmOfc1J2rbaLMfCEFYKhihWktjvZGa7+1cSZa0tPNGv3aiU+8SLNyRsaDyocmweyMfXH5YlsBLwOfTR/jZ8R2MvukKLa+t43JgQT4YX6g2DgOztsHG8GTd1PtNkAQgEWypoBCw4Rl/7+Rb+Nfnn7daxbK4Ldpgs0liQhKBkJoIWQTJd64zi0VBAbIlXGkcxwDLIz9n5HmG5AJQqrMk0QaLiK29X0DXVWm4fFlx5trjTOGE4lknCcg8qJwObQQKDnCmP3bkmlSPHeKMXBlnfvnk3eYRK85cTWFoqBQEfkoDQwCOXNdbAPvrFix6oEV3pkkXJrKc623mrDljmifkOYOgmvwwpIhl9q2ZmTkEjLmaCT1zWuuIR7BZQdfKJYfXda4qd5V5j5FtWdtF47+ce7U3Hx+PFhKeUI7cO0CeaE04RoErPsLGs6Xc8nE2MzT2YAg2mLs6JABWv5P0kVaAASvpBjAsjGQ3lAKkrOlgxUAjwNuSsCBni40vVQ4q/hiF68uo0/7XcrWy4kz06abgTF2iOV7FDwtnEmbsmzpuOs5cXmEQ17F6rchDO+o4yyGjhaAtOGEpnKGhHmq0FBpxvf4YQ5ei2v5+v0ee5rorHBE2mw1SaP3qiZqgQpxSMmBSzT/ZMVs5BUR0xznyzWTqzACAbofKCEABKuP5ofb3BUS2P4/rpo7W9OSbj5YG7rq6rlRBgyodKF1U3VUf4wy/lGT09PMdAB/JiF8//3x4LYfncjx7waXtFyLANnVR73MBo3SzR1kAgCZwycgeT48e2FqnsUtC5louKivO3EycWVT2ouDM7+8+j1/C7604Y+XSCoNuzFG9SL1QbBXrFwKAb9260OE6TYjrcVLSkxyuWxIJPCEKsGDjBghqOwtynmMbWAiQhgEpMTbjCVIidJURgVkzponoWmGiqvFbpSjZYqRZB7xz3DHmoU5sFg2tD2zAy/TFoMvFQnpU21/c0mvhhyx1YR1WOtA4AGOv7gm1XIaLL2gvUPFb2gtkcb0opc8xHD6sXaMW1JDL7n7dQa6QWS/FgVnjqT3ZSns9APVcjh3tXNJ9S9u+JU8kwWp1eGJZcWbFmRcKZ+TIK/IG48yVliRqA7nRzovuAS+la2PdldyyjzU1VIcWF4hiShkD1JvkPAjaWL5rT8BE1jzsALCfZuzOdZ9x9VAeMKYRw5BArOFP4WhEjJQYiQZNkhHbv7pDi7aUTStkTnodYHshIITYM5Nr/LPOKhyY9J4+Xrvl1goZixE+4IiFSkpkHtItPS7DJctr6rgsy3fnlzEi46ub97qrnzoJCS2eDoXRLxHpNO466THNPYSw6bexi68JWnZ4/S72Con1wRgeGweGICNDYpc4SAGVApYCFAEXwVxEzYgCjJwwF93TXkqNRy9SACawJMM3asC9RE/FnPT8xUZAbCR0tASB3PT5w5hH/HDLijM3D2eOlRcCZ+LMijPAFcMqfV/1RtJqg535qUD9Q505BGRCVsVX2gqMAL02XDtENjOgThOLa+1y31N8nufYBY6RVPiY9dPygHu8MxMjof2E3Uf22XSVLmLeNrGR9UEWN4oAxJaDgC6opzeF1rqfLlx0wfflr4tZ4qJnCDIYk1TnJBcMwMbtIpW3q1K6ezrNnpbXHlYWHOO4vjze/PBViqiia5/YjEBPEBDriBVsSTO+AWHaJaun5IJpmsHDDCLWWGrvDzHApGuPAes4+Gw44ILSnLuBysKKMzcTZ5aXvUg4c9CFG4wzV3N6rE+IBy21wE7GjzfvgnJ4hWvplQCaplM1bCc/4Pm39/u9CnJR8+IwJAxp0DVCk0QPjdKsXIzE6nTUhkppa5bi2dD16Z057IuI7at+cQWmJD7TiyLufWrpgeKC2i75zKfMGJ7Uj2O3LBApBDhmYYJHssFv7D6vv4xWsQZLfUuOpmZ1FkJUbD5ihJQYWYwXiqMCmfyrk9t+twOlBHeJ0nZSJFNZZvyrDmgUj3wSdTsTO91InaEpK85ctaw484RmHDv2FJwZcb+5dMWZJyXkWj7h6edF+nCTpeblx+0G6qaLhzrr0bGm5jipScg9ljV+taZhHYZBTYSW6rWGMHkSFU+k4s5SixaGJtl3Iphr0b/lWupSsLpQGrngnCwNok8oFU+b9spxBn6O8nZ+CX+0f6N56JIeC1XbB345JWn5uW1j873SoQXOakotsHVF5/Ug8iVmL3RwpJ4KQeSDNU6dvAlynrHf7zBPM3Kzkx3Zi6DjWTcddkwgluHtyF97s3332c6NKivO9KS4QTjz3RcRZ+LUijPAM1sYQie71JXemfpvs37o8iN9P+Jb+xjqjxexPeYtrEnXfppwpWFQRyOy2WisKbpAe9sEYULyrpk22PNiEwaDel1beDE76IW76c+ShM/0YmgDbBZnXCs/mA48We88VmYkTDIc7e+Fty76dzB7atrpccxi/x6FsotmChd05wAoltctDrWe6MET7Vdxz/iMXHJ0pBPWRX/bfTfqLKlbGu0bhDqLubyEXeey4gyAo3J33XCGAGThFxNnnlBuGs5ccS8Jig5cNKZLZe/ws11n9IoI1WGpO9sXcWGQKsR5Rplz5GwnqMmnxjdXh6LWIch/++QjcpW4Wi9GUFq0ZiGobV8v5jWfSfTa8LF6DxyuLmf/i8F/eis+htJw2VPrVCSv1zUCVIU4DjT1H84uOkGXWkfjdnTpmU8/+9IsbdFAwDR3b4bym8wZZcx92xpaOOvEkmut6slCeURovK83raw442040lGsOPPkh/4V4EyLKyvOXN3CEHQPtUYWgylVyumqzOMOOcc7IM2mHMWyq6nzUUbJpToZ+R9UWIek5kIm0uQpnqe9UdoIsVIZDVcvZTvvQkgmNNISY9kL/1sysK0bXYEoB8x+pSLPeX8t38t3sJ0+hZ9uoiVqoVB1aXG4ndHFsdq8Yy1GFVs7Zl8fyIjfPP8RpaWbVP274ECAnyYIsZUtqplWw5q8mQ7Alqin5O5+H+NWaMVeAn5Bp8EvzMAHnuz0vON9fcqKMyvOHJYfBs7UOlacuYqFwdti6hB1LWzOIyJWFlru8e/1YFvhsSukIZIgvJXzDJmLDiJzjW1tnEPIwpoIFFp/Dbny3/5kF7QqcNS0YDknIaD3Vj7WtYtPXapcdnBbzfPjLjMSdtLknDPBbQsRDr2LG9zqrHeo7VzSta2i3iMoQnhchtD2Q98XvVAWf82EoFbcsljbnhYZmutFAFgoVLH1RJ81UFOVJ1qBiJGFOhlYPC6eeRBnf8N1hRVnVpx5kXDGX75hKbjhOHN5hUFsS84wzWijCb32HNej72irDfto+7EurAgXZAoTo2fWtZ2cMySLxQeTap2unIv+pZR0q9hkMwHjniWtRKRpF1XBNG1fRGckHsfsnqK2Tx2YcWCKJBtI70u3duXHjwyab/8c/HZwzSUEWrnv6LoiLX73lG5H7fBJP8h38Mf73Gj/Zcn3B3ctNWO/ooqNRTk4X9nJTvO3X6UVVJi2b/W3dEZ7rZ0rzX3qnQyIaByzzxpEdCMZd3ATFJQCcz4CSJLG3RcxJyQP3bL2FH/BVcQQcLRzSfGjBvEjM5ibVFacuZk4047hC4UzrjSEXnCzceYKSxLHXSi8qLJTjWP1sx1aqecIPsRxRad9L84JBJKLbSGra4qSfY8DMrOfxG5y4UhkA8vRvqYtNotoHUDaBC7He7lsK2pSk6fI2POY7Q7uXUy9+hY3xxfPW161FOxDQaxlqf0/y2vN19mOUoHQC3RTHsqI39p9tnmJ2EcjNAECJt02IajmQDuom8dV82JvlpT6KQCJmFZPcTxeXlQ5tWtHQ5/26M1VA65SVpy5iTjj9xBeMJzxNqw4A+AqYZVWqmnm8ve0mv8yBurYgF4kE0WAkoF5zvanYSdOXOZBk6hQAnf/KfeQdiA++xlHnTVoR2s//fqr9Pei/lVjetU2W03vSethF4UIXa0s2WtZSvN3eO338x388f6NSpdllRfh1BOATjqqHDsHZCE8KmPXbBee45qyjR/aeYELsDT1HN7r14hoZj/9Xg6e00P6xd28iCTtc570dxPLijOX6+9F/ftk4kwtLxLOxBUrzlx1t0r/bExOrTJqg+uZzNpOuZZP9k9/bll63R8QoEg14RTNuW5qnm0ZW1OfeghKq/V22cKkthESkwO1DFL90gnkEY39sjr8xf2spdXs3XzWtenIdSo4NeHMk8uhUNLBkePtbsuMhHMZ4t6LNPjnVXOfBmgHDH70ctfu+3va31LZKOqm0ghSEUgpEOG6qc+R4ibR6rlc+b2l00VgtZamrDizaOXlyoozVy8rzlytXNrCcBlmOa7xHupBC9efuIrQa+M+CpLVq9QHQuWUQJpoVUWYUwhxfLKHNXF0NQCk1eoLYj1yqem3zjVd2y5Bg+jG4vPwh3dXjl5wwLNX1vovvp4O/up/B3WYxvyD+Tb+eP/GUTC/6qywf0Q/B3AhfFDMTHggwHLwrKPX2HVV65dYJz9stIQgllJ6zf9JdCQKwNWXWX2RtOTxELsWFOL3BX83qaw4s+LMi4Qz8YgVZwA8S1jlkd/xMDouzN4daiREmWapiVKnhcMGJWeJvefFVHViAosJKnF9kmn9bF7LrZbcEYVgns6mmzWbq7SzgWhrM0hAfx5oBqaikPWDaj+vvK5Y4fOJM4DLlI9BG/dqZiSceRa0Rb3x86LnXeY4teClXsuPyqi/QpDFxO9QafDrDtYPpT9eQsCbe6T5bh7LpRRAOC48MBn6Om8zW2y60nzXX4cvuY9pcK5RWXHGPlecOVrvXxfOoMGbFWeuYGG4msa7bCodCMbT6nVilSKRjjVnge0vU9Ovsu5oR4Sq6XsO9yOeyvV3zxBxbKlVL0cGz+D4sezXUuGUxfkL71Vg6Mb8qbOA5fnnUc1reSeb9n8AYBc8ti0tIPnfUXnUyqW7uhHelm7H+iV2xgVYGmGW9jgOaFpc2y/t+uKRTjnAL6ewbTeXMyO/SOpLIpz3nK+bv5tUVpyph1ac+eHjzGGvbjbOPGNqaCxoJlV5uVAyUWcGRzRr4FAxrutCqn0pYYvxbmOaMU5SorSzgZYQT/a+9uctZy+15rbTx72bnR+eSPrFzCAONDdKo+Yf1iVxafusvrbltORJDbrSRVEmJJzJ2OusSwZ+0tM67X5RGkI+KBv8u/1nu1b6Mw9NqA09BL24N19bhzOJaYZtj2znWATZhFl3ka3o28ms1E1mGcp/OiuDzSouesX5b5vZwdeTLxr3G1pWnDnaxRVn/npwhttr/esNxpmrKwyNlsTkYUT6OwFdU9guDO0fEgMQ+8B7pwmaYc0fUwSlZMuyNmG2HO5iqj8TA4lDiJksr7v9kVG5Da3yeOa+OCEBT0sbCbRcLWN3XhIwmaZmGd3qDITgRkHx57hzkd3rAw8yUKGL5xDScmXb6qXcL8HPGu5R5gLo2qmdL0vGov5m160PTKENw3n5QbmFP5xex1fGd5v76xpuV7/dVkp12tHzbkAzoaqNAIhQSsKjvNVOmNnVScMmg6XKWK/F+0zJaSGqxRfJQMmNQOqNJDq+TNCY9wxIySASzHmPUsZYZxxTzXlPovxQqBgPt9Mh7Q9Jhby6Rt5uwVudytqZzkVYd+3LijM3CmeWfP4i4Qxgm0+uOHM1hcEF0qv3th6umZhQSM07ToRYy/M1Rhdmv9eFVAQQW9PJeY7UrC7oTARJ9rZo1P82Llq9me053gqjkj3+UCjQfFlIiQABTJ12ZsIuJrg+EE3WzuZLOywElTCHvoZ6C4U1Bpf6ZvkoLKGpf/CTSjdiHdscrGXicC1zEsZjuaLOKfWD6EgLxL8fAVypmvly9rO0+MY9dq7+9SY/MgGm9liDBOLI4LMAy8bW0YYQe9sHDQNR1Os5apfDDV+Ofb+xigJWnLmpOOPy8yLhzLIXNx1nnmmZrPXUPDj+pPuO/OoUT0GEl+imL0WTqOS6raxYPDRifahR9ciEyZ2QmrUZl6OuDVKdVA7IeSElG1DojvVCv9RAY3yp/bkQ4OPV9b+PEZgWf1e40M2ulynSSwQA4N18G388vXHxI5tHCwA5wnGCjkRx/YOywW/vP3Ok7+ZdLZdr92E5PgdsW0CAzuZ89tby24I3aHH7Eyl/RHCou6D5837e0LLizIozP2ycuWybj5frhzNXUhiWzhHxEKqM3XogB/2bL772slxYEuN+9S6tTBMGr9DYJXKyt04lmi7VTXfWpiNgcVBMiFtt8MI1r2VNx2ix7Fuj6QqiYU19z8uUz18ucrS5mA61TEh4a75b97F/UpcuBCOp4Ndcm4XwsGwXdWjlyzW7rrbmVHguL+tvflet3EHaXgL+HZUfi1Sj5nLmUu+t7aSOGC4YCyejJWgf+36DyoozK84syw8LZ55Es5uIM1fa3rpdE7nUs2ImIAfXtgqnCyVQc3OXkpGLav0ll6bKSuxWsJ14nl/d1xTrAy5qpDv3NILo9y3t8u1d4uPue8/p4BbUNVXXdpd9fxGE92ipdrruED3l94SEx7I5rO+oMAvcdqbuP+30yK8h0/o/h0orAZEBTtyvDzm+AscQzyS3mNTpXS6gaAcz+KjGN9e31FEP6WV/jbHpyO44C06Lew5qDP67+FHXtaw4s7jrhuDMsUteCJxpHrLizDMoDK1A+0OPj/sx6fEBaTRygpn/6lpiCUckzeWec9ZnW42uqTqh1WOZuyQWgF18FXlpuDSILr7eRbZN6ZPikr2FxxDkQrX3h1cuUu1DoKn/efw0AOC9fAt/tP8Uvrp5v158pHpbcrbK9IvHKwMmTwTkwngoW0f5RX0tnZsZW/xaHO8mYxfTv3sJAGZyNg2fmuMh3Et41v3ujcutrxR9rm5Xywdf2KSL3iPXtqw4c31x5tWH38cb97+1PAmA8OqD7+N0/wBf/vZvHtze9m5Exv10hrt83p1fXg8AOLkF+cyP4Plw5kh3cHNx5mpOjyHM7dObzjWHaSHHtUGE5RvIhXjOGXmekWfV+kvOmCfdh77tkRSBkABM5k2s3sN1poFeRe0o58EpVxGoKtwFBAiFhz6RwP2ig0ZNh6kjhNdTn3+ZVhyfPTxbCT37mGmwfcYRgF7iYlvDHglv5VeAifDV8b1uZndMcWhf80sZe1A2+J39Z7rr3TM8BBto9pl3mvr8qz6hnV30gt7wk7Rj5A80fnLhtt8+yyS7RhaDY/7VFX86Ia4tlPY5TXs70+QFStd1LyvOXE+cSfMOt3YfHVxFIGzmMwx5Wpw/Xh6iAFTwatpdeA0BEE4fC850/bnhOPM8uUEOiwv4guMOtJfQpGoRAfI8Y55mTBHipJu+eEOTD4DU4XBia+LWphmAaZSNr/Ux+T0mHUeJ19V6eIlg4VlLlR7H3r4XPvyvv1xkABNIpRk1V7Z0bM7rOuMr+EN3TsLhNRe3QYJ5Z2E8kLqmuJxpCWHh70iLz75v0ZeDa6ogipk9fKcAakWjNU9TFeploWU7mg9fc+zXFC8myNMc+250WXFm0Um/78XGmYtK18sWZy4oBYyHssG9vL3wmic96yo402fVWHHmyhYGoGpKDNOOltctPouHKVkwtRRBsUhdEUHJGdN+wn6/xzzPmKYJpfSRvCICITXdLZ/JgGVdS6DYdpZB9gyqlTSz5NY2hcAHEQFxMyhhLlr0SuzFZUMPsg6KnhQR5NJsPgMfnGpwkqYZ3Vqo/XagqkK0LNWJZwGLYQ64kklbWh25L9H/JRjKoaXhW/kuMMEsDWECOH5PR1bCAznB706fiVuU1Q7Bs9XiQ7ERjZvPyDG7YiQd2wIIMur0oQKzH3Mg0Ux+tsUQke5KSAlEGoPPrOd6KtFRurWnCFAebvjX+bEcG6gbqjSsONP06priTNOAZyoFjIfYAIW65YnuMe2jnhFn2oauOPM8mR6N8Si+EjrOPFKKNL7tAohYGNM8YZ4nNRN6SFMp2klWohMQQhxriLamSEZ04k5fq8LnJmx4exdCjKoZkkm0NIPrwEUVBSCk17gpyvvvpkEnRQmWagV1CXU96dpEGwE67chftjTAdZG7wvFSmfJg6aJhOIp/+rbthfGt+S4Awlc92crhZT1wWb1zMa2fjlyPFgScMtFDtCzYmuaiC0KQcE6yMQ2ZtjrEr6vQQQRwYhPiAcwctJEDgV50jqhlvA5Ym5YfB1y5IhBfy7LizPXFGXv2MII3W6DsICkB86z94wQ+vQUAKI8e6LXbE/DpbeQHH6HMEx7yCTBscLc80j3Jjz6g+XpFnJHu3Iozz6EwqOorhEgYQfZPrKkAHQdJ8y8A5JwxzTOm3Q7TpIJcXIiLG4NYtWfW9btEjMSpfjIjWU53bteBrBxLwHHUKbkV0oYjRFRrBIW46vqSM4oIxNLDLvsb/NU9y5Ov+OkGQKJ9IdHBtc0ju7ooHnRBEVzAaEdKs861vCc81/2zMZcdwxhVGl6BAPja+K4JmferubixXHwkW/ze9Om+SU5np5c0AxWEEYhwXY8DQ6gE/UIoRc/1hkaHfgebVhHxJuq+ASkpz3Xrf3iCIK7lYygrzmhdn3ycCb2pwZnhjTdx62/+B7j1/rfB3/5z3PnaL+PRb/wrcBpw+gt/C6c/94sojx/h8W//Jqbvfxd3fvk/xPYnv4Lpe29j/62/xPDmm0gD4+H/8Ku48843amMAdNswPjPONC/kFWeeR2EAWtePOCLV/YOOqJs+IJ4gZb/b6d9+AmzzDRKNQwWA5No+VIBccIcmPWtKJtBq4wOwIGxV/YzotqbUqNvUamhSrxbT3t0s6ndQ+2lf+jSriJnCEsBc+KRhKGe0Ojlw01VlGrbz7uFLR6R7GZJzlL8uYrqjoNcfXDJxO0tZXr8TwremlwERfHXzXn12+873Y6Ra/0dlG3003VwvFehsq21m4FyttMVA75KagCuNl1MJNwXX2GbYC8HMhZAwPwPOTva8C0i5lo+vrDhzzXDGT5+c4uSrP4fxiz+F/O0/Qdqe4uQrPwuZJsjZY5z+3C9iev8dyO4c25/4MjY/+uMYf/SLKPs9bv3i38bJT/8MaLvF2W9/HR+9/wBTPsGr6bx/9nPjDMHlfMWZZ8zD0BfX9KXRWAVH1/FMSwshnnQ9cbfbY54n+LBxI4X1xaSCmpYC7Gs9RDEA7SP7NrdepW3q2RrKFWIXYSoCIq4M1VOlYxCxl6fvrFYtkVSf440TPy5xTRvp6yBYWy81e5sgGOwg2eHTtNFjx6T9Wjn9QFk4dqt0Nx9A+04Yb00vQ0TwtU27PFE1fhDho7LB70+fhrS+EjBW8nER5QNxXhOqdFiKlHDQoraog1/9JKvHBJlZBZaZwQIwE5BhIXj6XA3LyxBhgNMhEdfyzGXFmWuMMx2FBLBloeHV15BefwM8PQZtRvDpCYbPfA7Dm58Bxg2m776Fs9/5OobXPoWTn/5ZICXMD+5jeOVVnP/pH+Kjf/5PMe92eIgRyKJKw5KFnhFn3DCgquSKM88dJeFy4pnQwmPYOC6+61XIc8a032O322G322E/TRYTrelZj2UDUyKjbid7kTCrJDfC1YiBlHocLuDO9PWzb+/FfW6zvz0pnWfTC3g2MH9yq8HCfx8TTPtr2yY2O5Ji54r9WXvi+osaZA2obeq3Vz0K2gtkaK+t7VEzb7FEOFIK9sJ4a34Zf7D/VNP3dvVOMAvjw7JtG4bDgfANe0wL50ZbR0t6A05qwpOWqNZUbSvXyltuerbZJBFb/zS/e7EwvGJr30tarOWvpqw4cw1wxttl7ZdpQv7oPgiC4e6rwDii7Cfkhw8wvvkZ8MkpMO0xvP4mTr7689h/5y9x/1f/G+z+9A9BxJi+/zYe/MtfxXzvfWsn4WHZ4F4+iT49P85ULFlx5rmXJHpjiWu9Er9da9ffec7Y7/fYn59jv98364lek4TDEYDYc76NUW1Ngy7YYSa35wMVVI41Wmx3uY7u5M5Gna2we0mKK41oTYj678Wq9vL5ZuLyetCKst//BOFre2W0kkP1P2rza9vvFzKctOcPwTRCxy7qZyN7MfaiYrID4635JXxYNniFz/G1zXtR50dli9/bfwo+W2weWvsZh7jOMoU0Z3xuL29mqAQQM1gYUko3txLxDrspEBAxzZ9ZPZb5MHlOBXulUXt2aSpey8dTVpy5JjizUHSGNz+Dk698DdP3voP56/8am7yD7M5w+5f+DvjlV7D/9lv48Ff/Xxg/93nc+vlfwvjO97D/zreQXn8DtN0if/+7uPMP/iGGNz+NR7/+ryDzjAzN3rhDwlhO8LLIc+FMrMasOAPgmRSGTt/pGMW62XxvjGMCzHPBPE3Y7faY9nvkMkMsHSszQUplZ6eHr/uACOJJU4girMk9mX3HuGo7a0yV4vplbWtryIzeNFYqMcEkaQVeIh9LIQKzrg4SiV63oJSxSO1Ro6VSJ1rLu5Z0btoIYCmHh+lBQ+YPDPZPVk4vnvWEybap5IDJHQ9CsTAuELUI7CTh3XILH5YtBISf2b6H+2WL350+i/uWy717vHgdxlEEA2Cno6AdRolNdSttVbar1zAR1TXv5t4aNkqRqMdDk2JrYa+HvPaifa1vEHQ8JS0PPLlQ05Vn3lPrWpUVZ64bzrQqnwCglMDbE0guKI8eQQYAzBAB9t9/G7w5AdIA2mxBwwC+dRu3/9Z/gM3nfgz7v/wG6OQUZZpw+gt/E9P77+L8j34PBA1yPZcBH+bb+Pb+U8+HM2GEr34rNxlnLq8wSJtn/ZAhSimxpuaSIPHd7slFk6bMllUNTkCCSG6kFwBLrDESabjJMG6QhhE8jJ0ph/zFIQRIjiripYJ+FiClzi6CdYquIQLiy03goho6ow6qmyyJGVTUm7oMAxIDyWbTaK5jZkejCkrxWGNQp5WZ9LUK0XWtUHEFkC64KugcjsALEKAFVxAk1idjruEzpGCkRnuleqWLhsRz2vjuen8IlUjsH+8uQ7AZ3EyMb86v4F45wR4J98vGnuv1VkB2k6g3JGilXdfMfeb1XkSAIsjGq2Tx6lkyCgRgoMylmfk0M4QIcdIxytAlmtn4tOQZDMKYBrCF1ekSTrZOczdp1C6YoCxnkzE48fju8wIMvxllxZlrizNFUGUZwP69d/D4j34Pd/7238PmZ34e4z/7v2H4v/zvteY5gzYjNvfugb75dfDX/1tsHjwAn56C/9V/g/ToIXi7Rdmdg7cn2Nx7H/mjD9FIETIPmO79BUbe4WUk/Hw5wcWl8fto2j3kPUSAac4rzuDKFoZlulZjnkazJogmr7C1IWZjO1uTkaKMpwwOJUQhlEIBFmJbq/gzmQkpWTILX0tM6bDjATYtqy6EGIB7ocYxE6AiBf0J62FDaU8Py42pcoAgccIAPe/my4JiXtc2yKwzIR9Wsme71ielBC3J04gGGIkxhY2DHQ6F1fvp4AfYC7tfA6sI3KqXldGku8ZMaH7GUiwqIEnTLDedEch8gHxzn6B9IQVDi3efiXBeTvXpZFvpiACSzVJB0eXioW8EZDTrq0UwW7Y+dxSSUlSQHXABzDnr2iAIyPZJ9QNkQkx9ClZBCb+OknVt2ncw7ECgUbIEqLNAR82gYUNpOb5XgPPFzS4rzlxHnFkuUcjuHGd/+HvIH93HZjuCPv8zmO+9i7LfA0LgE0Z67fOQ/Q75vfvamvMz4N6ZmvMnBra3MH/wETAn4PT17pmPtnfw7Ve/FBMV/b9GroiT3ugfOAM18Ph4Thhwdr5bcQbP4cPgnr6hdbK/KQARFVoYAWCbvJQ8o+SijD1YpKrY4JizEKDV+Msm1haJVeNKCZyqd2ncYJ8qqPqzlLIgVh09D28qUiyfvAGNuENP36YQIrZ1TiYwJ6SkoVfMCcM4do4sPkPQuFpGZoqkL+7fHxwbL109x85zwbZ96g63Ono2L5+hk8lyeDo7XTpttyoIrTNPV4wIQlqLhrExdNe8Ou5xafF++HOlW2sTH6YsOt0Ag2xRUKsyR7SilgnNmKa/c84KsgIUqvxRSsE0zZinCbnoU0vJQTEF2gpUzAwuCrRiYwGnHzEEgtwIWBurr9vNLoD+WFnOtK7oV9xOHtay4sx1wpljrpH50UOcfeNPsNtsdBxpC4wjdCadQLsCFIZsbh9Z5hiAiSDpFHWQQs3B/ZNX8e2XfqxR6LTXz4QzHz1YcQbP6fSopkF14GBzEimzYA4PzxnI2UJFZmOobClRWRmaVFsjYoDcTNZ0hqo2rTMA9V6uYU0Lrd6+VPmrYCBNpS6o2TaeyVnXPQWCkm0QpVSN0mpv16ha7Z+ZMQwDUhowDAkpDZq1K46r0HNyWhkDmSD70gABSMwoliCmHVRyLRNiuEJxjOx8JH4JRPP2O638r+qvR+PYnWnjHm+fBKbFtSKVge1rZyVolQa/xr3JGyDNRYWzFNF1TdTQomwew7BxLL6R0FxqIh4TbpDYmiAb4FbTbaKk5r5xQKIUY1GCn53QZC+iHLywRCxdOvEcewUHQUdPkUiR49r/Wvqy4sz1wBmPtKjFrp9n5HlGKzAEgeQZkuf28v7rNPW/qT9fCpDzijMfJ85cUWEwvUTagVXhGlPCkAgzM6RkzIAORlYhKWW2Hd09g5lr66rlggiSkgoeYB6kVViIqwOSezLrtLa6elRN0o+1TiTGuGKzkFJiW9tp0p3rpmlGhAh6LKzUYVoOpM9GvE3JBDgNKTLCcUqa/GVIGMfG85rcicqFUQWbLVkMJ4vNBcI8CQMUbwWhRBSCTko88YeE+QuV0sZ4iz7gGL9J/xmErU8Xm2XoYervsqyoQUsDHs88V0JzF+Ssa81zzphzQZ6zCXMJoS4lmzAXh7HQ/gGPXS5hUuRY+jA+sPYzEYY0YBxGjGWDDTYYRwJh6KgQTkeCqLcPZ2qVqMNyRP9q6Ic6NcWqNBwvK8501Lg2OHPMxuBl+ZJccIQ8WdbCD0tgVlFVFvbTvOIMPj6cudrmU0DDROKWMwxEGAbGdhyQSCBlhEw7SCZN7110FkC+l7y6hqJIn/vbGTahrs8NoUG785EJpRMbrWIZdiRrJ5kCV4VTzdiTbT4zGyNl1TxzCYFVbZliNu2D6DMAEEBSQrsGAJ7UNMip0eyZMLAK9zCmMBsyMRKR9o1qXG5KCXMaMIyDmRspYr+p66s/tcDnA4BaC6owo2MaBPP3jNTWVke5ZexaQazR2b9Om0IONBT0zgI1s9k1AlUW7uAcX04/iJS9H+wJ//7xq5hzVk3bNO65EWh9GWQjvT6ZDUhBpD4SguAN7Zs7UGp75lKQ2UChVKekgSgcl5SnyRZerN2NIFfAOyKtIjZ75U7UK6j5zNRN2vXlclDVDdYhVpy5njjj+Ruclrf3D/DK+b2DJ/VPP9aWi4rVb2/vz9D38CMPvx0vfYk8M9C2oI6htku6F7bUavEhbfF/pq/ceJy5stMj5DBNK+BaVUKSAbLZAHmrA1RmSNb+iRQQD0ic9D5bN/JaPEGmOxy5mW0cRgzDUL2B4TzamNIWg+xtrFqba/oZ+/2kwpyzzQKq4DuBiTzmWTXXNhyGyWNwfYagp+Y8q4BPfba6MBOa2SpmBaQpaMdBzYtjMlPjOGAzj2pyNDMjMzX5xQ1ErT0SsxMTYjF1nAgXJrkP6wF19LPOLi6X9sfit2EnAkP1hS9q+suhvaul4Q7O8cX0Nk7PH2A/T6BpBu0GfPgwxRbDEPU4nnMO3wgF1Vz5gwfA1nE9nhkGrPoSQCg3RArSOWcgC/JcILLTWj0eenByVIcxTSFcQniVLEt6SvcB8X/o8PCR78fK085f/7LizHXEGVnQbyi6pPDhyavdGF/49cixLvJDXNECRmScDDPONzCrQsa9mfEHZ6+ZNcdf1LpUUUWWoo2uQL7Ge/wn8h2kcbzxOHMlhUGab77xZiT5kQISXcfbjgOQR5Q8ocwJZVb3NrF30ZBibmprSF5tAWx2kNzE1mVZS51mB5iAhWp1SORqjsqawCXPoflnqULqMdc+c3WnI930pk9alEjTqBTXIM1ZhVCjA+aSzeNVQmBdI3dQ0OOEcRgwDgM244hhHDFOA+bNBpvNiLEIhkGQEgOD1uMqagHATXpkmMDUEPHeOZGoBxigAl44QrX0XFJTmhmQa+aR9Y1C1nIRzDljyhqKNBmA3sEZvpC+ByoPcW8/YZr3mHJBmQs+P+3x+7vXwwxcjLciiQ4lgNSUPI4jxnGsZtiUMPAAEMLq4OuMLnyz7VaY93OsU87TjGmYMAyjjn0zU6p6lIOeuNoOozIU+J1WvrbYz4+fVNbliONlxRlcT5xZ0k0EE494NN45Mv7SvyND0fDZMqpFx2RdoN9HzHiV9rgvjG/nhGnOmDLhbM54IOdPxxlzYNwMijOfpTPQ9DZOTk9vPM5cWmHQhx5qJUwEFHUImaCbvREEYxqA7RaMggQBSUEpQEq6lkjMqt1Z5jNjbTDX9KvEfXpWDvOgdPQixwV3bbU3l4iG3e33ukudpoe1sCbTMtM4NI5DYwcUBG42J6lVu5NQuwYmoulos61bJntZzvMMKQWzqNc2A0Cu65uJgP0wYEiMzTCq1j+OmOYZc95gkwvGUWcBuZQwNfr6ZIaYYQohVBqSbS/wdgwjPNH712jodaCPjX7V3s2C0KaHVVqIWRdMYZhn7OcZ55bD/3T+CD+SvgfCGT7Muo4750nXE0vGNmfs9i+B0xDae0o66xkM6Hz2N5rTV2I2k6o6FflabrCDJ1ghQZkz8jxjd66bEE3mMKXLHTO4KI8RU6wr60snYT+XAIecZwgUnM1h2mZcjcA3dIOHiy5C7Fq5Ovp7aea9IWXFmeuLM++fvIbH6SSO/cT9b+Cl/Uf4o9e+ZqSUDn7UcuTYA1MOEDjjjor7ue4Xcpof4Mv8Dj4EYTcJPjp7+Nw4cyoEesC4feelG48zV46SqF63gpqOTFDmGbMUjWMmXXPcjAOYtqBSAKim5fGm8FhgEzg3/R1qS3SgHYVW5lcTqpZuJwRAkdw5srizioICIxlzDJ6gJRk5hKtnv9Vdn+eS3Wi2pvm7RumMPJlJMhczpZsJK88ZZRIICmZR2pXCKEUwugnfdEqlsqDIgCKCoSTdM34AxEK+lJEMbMXM9+wZFivdwopgRDyuGiwP1HW9MHu5848JeCw5mCDPRfu+myac7XbY7O/jx8u3MOwe4QFgZrsSHsgFglM6x0+N7+FP8qcVsFPCsNkYiA3YbDbYmGVhSCnMucOgWxBDzDuZE4hhu/55J0oIMrUeyyJgToHSkW0tZEkdzCjPYUJUMKwCKy4DHQWXvy9Xjq0x3tTySceZv4t3cMIlFBLfm0L9K1Kt2J59UKQeV6RQr3whoAwl9m0pSf++nl7Ge7YD44uKM2fDKc6G07juzcffxybv8f7p68+GM5Qx5Qk7mXCWd9jkHb5cPsC9eQfBx4czm3kGPyRsT05uPM48e1hlYyIUtZEhW3IUSrbWOCQMvNXduBLh/PEZ9vOkRPVQoiKVLvYirrNZI5Yr49Qz5oV6kVvO7E9Dk0hNQkSNojBEiBIxg1hN3hCK3cwKqqaPhjmqg5MpDEWQzCwmRTDnWdcFpwE5q8nKzZo5zbqmNTFKyZYFrWDOBaCsbZkZxDNAHLvT+ezD2zIkBHhxTE1UqFyxkSVf+dhdwkwldm1YFOzowY5qRZCzKVAimOYZu/2Ek/kjfBnfh9Bj3JaHmHJGKYh7Dd1ABGyY8LrsQdBkOcM4YtxsMW5ckLfYjgPGzQZDStFGIjav+HYHuOrMBlHAdFeuLSw+nQhzns20mLqdC8leRDpLJZtJteSTxlh4Ad2wEOEwqR45d+EArArEJxVnfrTscYdyTb5EvtNlXYJoaz/kJQqFBBDbctl+sSlApN8LF/zZsMFDOf1k4YzLkV33ouLMSCMUXxJuOs5caXvrKnFOnKaBoutpSAALgwdGAoOHBKYTDAMDpUDOBLvZ13csnjVsfoi6XKBdlFyYPbRI/5f2Nm9oRwAmxpAGnY0SOsuChifpmqUGbbMxsCV5KVWD9JmJuMAYPYhMmFizxpEIhAUJgzWDkFJjopOiAJIShmGO+FuUbOYpTUMLEHLRlKE0t+FaShP9lSIjmPswk5mxtL0qLAczAGuLz7guKmJjoUlOqlC3QlyKqLkvF2QRDWWaZ5zmj/Bleht36AEmmjCTea0X07C57jYpAIQJL1PB14YP8WfyGU3PO45IwwDiBJDmiM+lmEOao7XGJxMRpFjWO2EkkXBcU7rpNUNKoM1GxyXPdTyIkVC91e29EXSvsI54bmXahJpshaDey/0dS7qu5Xi5LjiT9gkJCIWhhlz6n99LBy8EQ5b6r1TLpsqsN1Lf6gzGwCM22DRt+4TgjNTJ14uKM8Ve3HMpNx5nrr4kgdpJLuZB65p6ntW0RUmVy1IAJgxMSJsNps0G8zxjt0NsgSwlx0uY0Ab1qEboiVTCoxhU1ziNYdEwdxVtWzu0LWkH2EueoJpeYjMTEUqbWQjm5Q90QKInXGutHtEaAljCdAb71N+lrrdJCXMTWEOdUkpGhxyZvnSGMsRaqusnuQgoFwCzdwMQCS9opZporDkTqJgGLAhgcZoBFQTF2xR0a0ghQE3lZqbAJhZZl2EkwocUeArulIf4En0Pt8sD9RAXMYuNPZvVMoCkdBAiCAOJCK+Xc/zZzBBiFABTLqCsz9kPEwZmdXjkZBMHszCQOXzZTG9gzXwXvREAUpBAoDRgsyFw5hDICM+sUysYTDelCvKBMDrBLphNVf/4J6loa/HySceZISeD88r3Pc+4g+OCk6gmewIaZcb6Huv8zW+3NhR8wnDGFa4XHGd28wQRYD9NNx5nrpyHQZviL1FjECkgT+1rApyzYIZAhJGSan3jMJhHckNgSEsf1VRNG++2lTUzYXyPNxqiVaGO25lW8wseBYLYalIzAbSZjZDosifcZFm1ZlXQc8xa+uxhnqnLlyl8lqQOL3PO1n6zciQ3pSMSxaBJwkKeRIZcnyd1oioAzTkATLPfqYNXmLsKwCyaQIka2jxLkZBjc0Dqtf6clQY5F8yl4E55hC+lt3FnfoC9Cbh7dIMIxLr2WbqxEqAQCgtO5Bw/Sd/HN/aftfSpNqsywBqHhM04IPGooJcG+P7yxcabSYEgZwonooARy7fPiTHSAM/Y5mMVkGYzTP1sZhDB58ofuhzdKJUHulcV4SuQ/EmYcO3LdcAZZt00qns3CsC3TjHcuoP86CPM5zuAE/jkBDTqcqnMM/LZGWSaMLxyF/P5OfLZY81SOY4qd/MElMacD2Cf99hJ+mThzMIc8aLizFk5h4jgfL+/8ThzhSUJxEYl7TxU18ZUkAHzBqUCmghzKZDCJsxKwJQ0zndIKZwQD57j636mtXs8sWfGUsYUBDf7h88EQuCbekHITY7uVrsXN/uQWgSyr6eJXwfAzGBzLrELnprQ9HeO/PC+FlfTzxaLA/fQGWbCwJ6JTQU52WxAl0WcEKHiqzXDNs4pIMwzgCRIUnepg+Utd/8LaplJ8ATOaE2Jntq26b+tAYvUdcVioZNKE02ylHPBIGd4GQ+wt1BKn9G0AuL1CInNiqCLeURgzHi53MPj3V2k/V55ygQ+kXoTD8Og9EsJm81GM6oNFi1h6VkLq0c4N6tBCYxM2ZLZmLDaZlgitnGM0VzDrPQl5N7gZLwSgGZ8AZ+JGvAEP1aSohP2SxaRp19z3cq1wpnAdh37Oz/9Ndz9238Xw8t3kR/cxzv/4tfAJ6e4+7f+Draf+RwoDShnZ3jwx3+A6dEj3P3FX4KA8NHv/3sIBLe+8EXc++3fwoe/9zuY92eV/wCc5XM8zvhE4Uzc9YLjzB0+g0jB2dn5jceZK2xvbcIBCfOROhIV2/0sI5mWVqQgMwBdrQFT9fEkIgxUw3Vqi2snCRSzRvJ86MRxzvaBjcmHnVjIdMOQRb2MY5c4P+cmNDGLgjUlFwlnqVYRmKeaWyD7pjciyL5Wagk8/Pq2e6XkyEVOTCa4HAlVxnEADYP2VTTuWUSNmq5pW3J8DRFD0a2bXAg8g5i0+++RMZkSxp1wei5z0lP9bGZjPp5FSifEnqBkzp6DveAlPMIX+P045ybEUqoCVoBI6CQCFOMNiG3lC8Imn+HH5bv4k7M3IFJ3kWPSdL7DMESyndPtCbbbLfK4wZA8+QwgSSCSMFjaWzUFAshFE/qwG+0WWrvnh/cXSGOqBqguNZVSt/D1BcmuHMn5fkj5tSzLNcGZYi9BvYcwvPIq3viHvwKRgvN3v4/bX/wpvP4f/WN88Jv/BufvvoMiwPbNN/HyL/wipmmHl155FXm/w8s/9dO49aNfQLp9G3m3ww/+zb/C/vwcknOnMOz3e+wyf7JwpqXdC4wzd4cdyong7OzxjceZy1sYQID4nlgEb7mvCwpU62cq9r4xr2YSS6epa0xclIkZpEDQmO59VkGsfOkMxcGQQCGC+8jrPuCIJaHYctmWjHwtUET6zVelrtkBtl4W/gatY03GnGeLe9YMbh7zrIoE6hKEMXx1bmoBxZy3TN4gmoylYMYMit3rQsSMKVjEtrJtTxBIqj9uMKKtiZEUlNiCulf2i9VZZ0jt1MhnC5WpHfxymWMTl1LUO3meTXmadMvXl+Qxfmp8B6/gIWafJeSaoc7vLdSsTyproNkTGwJgg4I36AH+YHqliWcnEGks+H7nGf8GTLsdTk5PcPvkFrbbLaSMGAZdl5whkGIJcsDu4q0phMWBzWaaYG0GKa9onH5CGkYQJ6TBFMqi9JlzBo8DyOgKFHTbGROUCatBGBLjuJaLyvXBmRZvAMkZ6aWXweOIdHob4927OP/+29j94Pt4/K2/BG02+Px//l9g/8H7+OC3vo7Xf/nvY3z5FZy//y5OP/VpUBrwl//1P8H9P/kjzLtdZ+UAYC/b/InCmTpJlhcaZx5vZpRNxoOHH914nLmCwoBoUF1brEfhs2q/WAAuosQrEoolo3GesTe2KVVhumH1VoGv7QCu7HvYj5u2lFMlHlkzbrUT5Z52XodbF9zJploUXGOdsyYEmadJFYesCVpycatD03evE6jrn94nIpRilCpVm/Z85rmoYsK5rqMWARI39AE0CY2Z/Yog4ngtJxucbSRucDFvlIEQ8Gbsjoyyr48WT1sqGqqUC5Q2JUdyprt0hi/zD/ByeayKVikoWQyo9flu2ZWgFcwRijwLT22wALcw4cvpXfzB/hXznCb4pjdigph5xjTtMU97iG3wc7I9AWSMXhBr5jYSAoryh499hpoflc8YsNA1n3nqtsK2A2BB8BqEbMnJkdI4UDsYI9FOpgQtQD65xD03ULm4PjjTFBHkxw8xvf8+Xvmbfwtpe4KSCx79xf8b+4/uY378CNvP/ghu//hP4r3f/Df44N//Nh6/+wO89KWfwmt/45dw+unP4e1f+2/x3q//a8yPHkWd7YvYX0afLJyp+yi8yDgzYUIpBQ8/+ujG48yVFIYo4sca9dIHzH6yrZMBaExzNbyIYdqWCauQJxyp64dVe1XmatcXox1kDN3Q07VkIg9BkgVRlME8LWhn+ppnTGZBmOYZ+2mP/X5CnmdbP/OwJAJxs/1tgIoKodJAt5n1+GwphDLrbANAaIoC1SRpmgARDCJIyc1ZFr5ku8jpAFukBqgqLW7ZqKiox30nOkGlrV0TYAg/hhiv/s+pVv0a3IP5ZXmIL6d38Yo8QnZzYGMqFBsLneS52VEiEgUMFTDvnwnzBhmfTo/xh/SqhsnZs4kAIc1qlueCUibs95OByqTPPTmxnoyxy16xaVe1MpuUtaAbrxqAqFiyHQ5BTp58BU8QRmq/Hk+OtZaLy/XCGYQy8dJXfw7j62/gnX/2a9i9/y5uf/HLuPPTX8OHf/QH2L31F3j97/0DICW891u/jvN77+Px++9i+6k3cfojn8fj734bmzdex+d+5T/D2//8V3H2g+/FJAVwBUgTQn2ScMYG7cXHGbNUPHj46MbjzOVTQ6MaPaIbThXXGE1wlIH1EHu8b3vO/8zzVqCMFIKKypQR4gQFhlZ/8sEgoFOTQnhN44wzPmjF+uDRELYT4jRr/vf9bq/fs85gfQMZz+ImorG3ml3U45nNYcf6wWBzYvGNbBgFGZQEEOk8qP2LZ4j09awiXIVWUgiRWzd0piVNDUaP2H7WQbMKanu8kqVXFvyz/46FEAteocf44vAOXqXH1UsZiO8eS+3Dk0XqzEAEuQVdbmZ70NnfS0PBV7cf4g/P7yr9IZqchwiUlBPyrKl4HVjI2ui8hCQAdM1WAIAtbM14s+MLqrvHsY0bW54OZo9db8bM308OjHW+gWZwg1/bWdhajpdrhTMSVWC8exfjy6/g8bfewoNv/hloewtv/PLfB7YnGF97A6/9rb+L9//d1/HgW29h3u/x8le+is/9yn+Gx997G2l7AhLCa7/4S5gePsDb/+LXsL9/PxQelXnPIPkJwxksMefFwxlmhghwvtvdeJy50l4SoEVDTNC84S6wmqPdHEDCoagRNBNu34deIKG5hiCjmhU9t3un9aO2hag3iXUzANuz3SNaDiYAxpg5q7PQtJ9wvt9hv9+HCW+ePfVrdYLklCDE4IQw2akZjCDJEjgB1eIAEwSoZUIbo22rWb4ISAxK1XPbUAHKCAUxo7HZFTUj4pfGH+kWvseEuBdkwBmvOmz2DFcjQGoy2Vu0x2v0GCX3u1JWT20dhHBEchCQEpEo1iMwoDQVdwZKOGXg89s9/mSf1H8kzxDSpCi+YRCzhpJN8wzeEYZ0rtETw6Ae89hA87ErDxRLxiVM8WQGWcy28mbri+IKX9DDZ1ZNUQ2fml+VDf3Y4sBaLijXBWeWcP3gj/8Qt3/6Z/Da3/1lvPILv4Thtdfw3m/+Gzz+7ndw+ye/hEffeQvf/+/+Ofb3P0S6fQdv/r1/gHt/9Ad477d+A5/7h/8Yp5/6NEop2L3/LvJuV+WLahM+aThz7J32IuKMZnhUGt90nLmChUEHJsxgQGj9pFyl5kG2AbTEOm4uI3K+tWxXDvhmBnKty4VWBZgRnqRU5x1VSBEJXZjIbUAqvNJo/2TfGx4V71OjMOhyhG5isjOFoSYPKZF5TKLrVrd4fWSCySAeAGjedoFrpADM6QXwXA2ommejMRJZ7HPqwS3YjwzsAuCcnXxMDgW39cIF2tlAjKjNMgg5V+CsjpA+yyC8lnb4Aj4CJsszEVn1YI5f2nYhhni2PTMTxtqkhUkBwDhuMIxj3Q3OtO67ifC1/BF+Z74FmYCpzObNrOFIZOlaSym6K920xzSNmPIW4zyjcILE6qtUHrEee1x54GXzsiLSHQOp4b0OBG1cwkXPaCugdrp5I30RnrVcF5zp+wTs3/k+fvCr/x/c/vJPY3jlLs7/+Pfx7m/9Bs7efw8yDjj7r/8JHn77LeRpDwwD3v36r+Px229j/+EHyOfnuPuVr2L66D4++J1/h/n83N86wXOlaAbMTxLOkNX9ouNMGfzFseLMFSwM6IXYjumAq7ZKgnAY6a/WP50ImFeob0ucbd2IEJu0RCIVc0xy5jV57xvjTBtreiZIqKbCasJpmuVmMFufyhYBobvN6TKE71HuZi8f+cQJ42bEOG5VW40c5xqSxMOgqUaJUCSHJpyafhEnVUNFKhPBLB65ICc1GSbYeqvFPhtOWFNaQe375b12IKRj1zYM68wpot7FzKymt2aG4LOr19I5vjS+j5fyOc4mDRmdpxmzahkK1slilWfNAV9kVo9h1rEqpcQOcwKNHz8RQTpRbT4xYxwHbFPCF1PBn863wMwaUgYFg3ZGU4qbWhtQkZoOOIRU6gZE1SwN+zRHrpi9aV90I5lks9h6n19TOQzwaSiRC7DKwqozXK5cO5zxPhTBo29+A4/f/g5k3GL/4COcP3qIkjMefefbaPPC5LMzfPC7vw1A+/Hom3+O/fffRt7vkS1nQF1aUae3IsA8f7Jwpi4H9ZaIFw1nPD/DijNXzPToxh+4lu3NI4IGIXlMqM/f/TqdMSROYBEkTvUvmXcsEJnIQuPvmMmI1ZgByZoSelmMgTGoRCu0jc26mX8JwTFv3HlyDTZHnVEItg3qiJOTE2y2J2BijZ7IGfu9pg71nekE0A1wLGRHZzRsiT+4enEDgIilrzVgywLhAhSlp02uqiBT26zqG9v4Blc+Q8O4nSDr3b3AMohKT/f+BtxJMz6VdtgLB8OKr+0xg5NuO80pIacS1heSDFeK5yI1Ph4SZmOI7snBRLof/ckJXhpHvDK/gnEc8ZjIlLm6dJL8PlJQ8Q3BHPjZQDChzpR8P3uPm6YWTTvaMHzjGHUOa4XX6YMqtPbiWBWEZy/XBWeWfRIpmB89xDzf10lELrF+v7zaLSaDvRDl/BwkYuvpJc7HC9gctz9ROOMv0U8CzgArzuCKSxI6GNWrtWpRtpZI9Y+QrIPqYZvYiZLCwWNIyUz9VQCZOJKNxL7uy8QU5ZDmZODiMdJCZPlHCNnARD2I21kDTLNv03BK1dzgmjNgq4FIw4Dt9gSnp7dwenqKlAZMU8bZ+bnFENfKCZXBi7jerEw1jiM240Yzh5G2Y7/bYdrvUPKsW6RCNOuYuMk0ae5y++TESOwmQG+r1t8SSHlUFsJM3XkXWHfodM/dUhywdaxfS+f4QnqgZl1b+1Tzn0IIswrxdrvFMIzIBUg8gNIe0zwprYmwMQ05MaNAMA4jBk7mOKobDo3DgNOTE3wmbfF3Nhm/e/8uNuOA3fk5dmfnmKZ9xJa7m1p9ARgv2h4D48AY02CmZaWTvyh0CakKXyuEBGAcB51tmO+KuXfZTLIFAqNpmCND1P3dEy+gSwn6AbBc/3JdcIaIjw/yMSZr69ZvqghbtsFk6c+zR2mZrLlvAsjyMHzCcEZn0C8+zhAmHbIVZ66S6VFFudh3SJtcBfDc2dZWFaimua1HJ6HOwpNlXyyig8eAaWg1k1iEM/mzw/xTNcfQUN3KAyVuFk2RKsJhAfK4ZIbUdcuwDJiASLKd68jWTTWVqjPpyckJbt++g6/dfohhOsPDh49wnz7CPE0g0h0x/yK/hok821p1ohnTgO24wenpKU62WwzMAArOHiWcQbDblWajFQUIEmjGNnf4Mw9nThyM2/1hwQfkZjEKgW+vcGGuzkCMUhonHBBeS2f4qeF9vEpnyKWub4rtqwGj+ZgGbDdbjJstAN3kBpxAO2A37ZGIsRl0HXG73SKXbG1jE+7q1DimhFvbhC/yjD+bbgEQjMxg0Sx0MwkSD2Doy+LkZIuT7QbjkJBS3RxmSAnjOIBF1fTWw5mZjyc7MeWPDTxVmRq6mWh7mx+RFhjjGnWERWXRC4tPIm6gvnBtcMblzGenP5Y/RCqaWKmwQEaBDIIDC0P7AnDrADFISJP9sKCMJZQFX5Y5Odnho1F7kpLPVk0pQkIqCWzNzjwjjzNKqksVCQnDZNfZc/ulCMKfvvRj+NbpZz42nEHU82LjzJjVZ2QzrjhzaYWhWEYQoqrNuGB7OA3BhVmiMQBiXbxAzf8le0athMSW/tLifJdaqRfyihrxbU2VB9eS16fhjZ6gCQIk8/7NpN62wzhgLAV51KWFseTQasO0ZgI4DCN+9vZjvHFnxksvCX78zgyeZjzgCffyDmfn5yi2lelpmvE4qW3CZ+3fldexHzc4PT3B7VunOD05QeIEkqJGVsmQkjH5bnWlZpJ087srDBRhm8FC2mdZMgEFTfqlhjpJCZA9mB3U7y/xjE8N5xDoNrA5a770EAhYDvZxxGazwfZkCyadJSlIqMOQzhAIvEkgIl0LlBJmtmEYcLLd4mSz0RkOAYkJQ2JshgHYjJC8RWJgnkadIbGmvt1sBoxDwna7wcY2IRpSwjjobIngVibpTLqVpSTo0L6ZYp06PO/tkxlCZJswt+B4I1/3z12uC86QJ/Gx8oY8xjt8G3uhzotfUIU1nmhtuzvssU2wfQZYlx1KxjSVBhP0zpc2wOj5J0D4lryK83Qb28029lth1pfJfr/D+e4c+90OeVazOxfCyANGGvUla2mRHVu+8uhbeHN/H9+59bmPD2dMY3jRceY0n4CJ8NLt2zceZ66sMLBp+GFWEbeMaEpMD/xouyECSC6Ys2CaJkzTZD4CEShlmm7VpjrjoC0TeFJTagTYcGNRqK5bWQytLzXAnsdFgKxJSTRRmDmi6JQBc57tEWSOQIyvbD/CS5sdfvx0j1dOJ9zeMk6GU2RsMJ+cYH/rFogI07SHCPAjfAYatc5kloA3eQC2Bbduz3hvvIPdZqtbr+aCvNlg3m5R5ll7Kjm8sl3gfMY0pDb5TDun8j4e0fwNiKsXc4uB7SygKkpkM5zXhx2+MDxU3wwBQIwhlTCbjuMIEClAjb4h1GgZzAY1Noqm195PEwSCwUAsuYMl1KF0s9ni9h1b8hlHgAm3U8ZXt/fw+/tbwDAA2y3GlCBbXVMcBxXgYUgYGOpnstlgsxmx2WhbhpRARfPKh9NWY1aVZf9RU4hTRxcKgSb2+H0A0lF8Lc9QrgvOhI+BT1QAvJ9u47Gk8N7PmlS4m+oREV5Je2yY8DhtMA2scjQMkKKZZneyt1BvnVQQEd6iE9ynIXDmHp8C29u4dfs23ho/h93mpcCZs7PHeEQP8Tg/wj7vIMhgEEYacTqe4PbpCbabDTbjGDjz+vwAbob/OHHGz73IOHOaT8DMePmll248zlxaYcilREYwTWxSpaftOJFt8CS+IgXNtw7LnLjfI+91jQkk4TgipYCSeq6GSQstYsQ/ZopsjoeGjhBuZ0ZmmGm9nhcBhEW9UZMNRNI1T/eqnrKH1QA/tfkQt0fBj252uDXqHgbJ18FyAUMdZ26f3kJixm43IEuuxLOZwJAYX9jscevWOW7dSniwuY+J9yil4C/nWziHas7bzUYdbIrnfKhmWCY1iaUhmRNWi2ISwteWqge1THgx0y2tDMyMVzjj05s9QKPNSARSCjabDeZ5NqBgjNtttJ+svTwknG5OIFkds9L5Ts2DrJo/2Xiox/KI05NTvPTSS9ienABMOiuY9/ixzSP8Md8BhgTGBrQZw4lpHAczDzIYgpQGbMbBZlgjhiEh2bISlYJCta8tGav3smn5qDSA+Ius8ukRyDzyey2XLdcFZ77x0hfA5jRRBPjK7m382emP4h5tbW8EDeGe8xxJh768uYfbQ8FZSsiJseek2yOPG4zjCAJjmmfsdnsL65tt/wigUMLW9nb4q8CZWJ7g6hz5vDiDxfUvKs6cyhapMO6+/PKNx5nLOz0WDUmSlgBg0HIzDPQSpvKnkQLTbsJuv0PeT/DEK0A202FdL3RN1r2SxafXEYZStXLxzG7Nk6vGqnGzNgZ6HRMiexkDXAqIElLJGIZRnYQ2G9v4ZMYX+T18aXOG0xFg8l3KlAElF8z7CZwGDEkdZ1JibMZBk3+IIEuO3fbGlHAybrEdR2yGhM8NZ2A6xywzBrqPN1jwTb6FD0bdrlk9motZKCxOnCm0ZZ/d6KzGk61UEx+A2Ov+mBIQ9y7K8trXhx1+LD1CSgOIE0oRkIHciVlixjHr9rnupEWaB73kEi/027iFlAbsTtQxyTeH8Z0/U9LrTk9OcHpygpOTE93cpcwABC9vJvzsrQf4o/OXIGnQLYyT7hQXDmKWmMZBYRxHjEOCJ58REU2m0nRbWklu+JjI6i3FXl6oiW5AvsSOfvF7Lc9TrgvOfO/WpwNnigD5/QHfu/VpvJtuY54LplktIC3O0GaEjMAjSjhvcGZIysecBogA08ZDv/eBMywZ279CnHFrgWaA/phwRk0qLzzO3KIJfMZ4+c6tG48zV8r06EmLQlBAYMtw5lHEEXjTaJa+V4ObCfM0gVi3DwU1kQUuzG7KcquALk6iS4xBTvyWgHVA2nUx+JVEgK35l2Ier8ygBAxlwDgKNnkMIf4x+gG+gDOM4qY+DiYHFCTmaUYShKaZEmMckoZnlhlZFKgEBaM72YBARSDzjBnAPE94rTzCyzRhOz7Go7TBd8vLuF9OTANXjX4cXGHxmGkO+ojNjFrN3rXqOiPqhfmi4ssRTr+X04Q3h3PV1DlZe/RZ23ICpoR5U8Js5p7oGrKqQsppwHa7wbjd4nS2ZCrzjHnWfSBKziAAaUgYOdmGbzXT3JAS7owzvnR7j7+ULVDEvLcZTLrr2zAmS4Cis6NxNI0/JVvagYILdHYAiG2g0yTbiS+qXA7DoOm+i+3OZ2u75P0rxfjfWX7hab+WK5XrijMgYBhHbIftJxJnAApr3seFM5WkLzbOnMgEOidsN+ONx5kr5GFwzVyLa5skto8CxRJgJ1sE25tcxDZvKsgoSNBUreQXuTMSTPuHa7M2f1AbT22K3xPPkkaOrS6r3NeGlDENhNgVNtsCN+n5UjJSGvATt97Fj8oZsB9QigsBhyOLPlL7g1JAo2DYjBr7DK2bZtG1rEQg6zGJQHLGvN/HnvaaNGpCkYJPD49BdIZX8oxH2OD7chcf4RRkpkZ3dnSQcyWfLKzMj4X274AG/+mCXOnRKv81LbTe81o6x4/QwyYpC6sQs5rNNqOAiTFknQGKjXOx8CeNVxaMYIBN0AaKkK3MjDklzX2RdfYgomu12CHi50iAgdV6sx1HBQef9cAAYByQLJFNirA5o4n3kQksnkLW+19fAIYfAAGMBBnYgEXD8sA6s4kXRMxGWznpXzKdtXstTynXFGcAXfce1THvk4ozzB8jzqCOxYuMM2MZVJFKw43HmSsoDJqPgKg2z/cNd81SABSmiEEFBBlFPTuJwmeAkTS7mnn5E4CSM1h0G1CG1VEEQIa4uQvNxiHicbS2xECu3QMgNDMR01LRzCQgoZ8JdP0RxqRFCF/Zvo8fTw9B04A9NuY85eE82jdBzdkgBSgz2Z7rBCpQByN1m7alAzWvkQjmaUbJRbPWAaFBujJOAnx6eATmM7yOjD8vb+I+bmFIhDR43Lgxi1Qeci25XevVtvqMjJprDj0gAAsNKw4ShLtpwqfTeezP7klp3No22nhmZsA8wIkIGRm5aEyxIGPOmuNdo0+UhiyAMGOQpM5h3gop2O92mOcJnCjMc4kId4aCr916iG/sXwWo6Fpr0tjnYUgxY2QH7Rhlx/jaYyIJr/nmaHwQrJ4kIGEIA5JGjZFmhlCCv3oQZkOrzT+N06Qyz1KwLixUGfYGleuJM4DKzJA+qThTnUw/LpypysiLjTPjrErMdjveeJy5vMLAHuZhDOMmOzTPIvVdVqFKIN2UXddyUgIPAwbaQGbNJphYTTqSC8SEeiBWM1FRBojsavbg5TKO2IzAN+XwgSymZXsDndlRD1meBYSCTET48uYevjjcx1AIWfVVJGbk2bKj2YKSb4ACGG+UjHkvoV1DoP0AhZe0O3DplqkZLPV68tBIgWnVSptP82Ns6AM8wmO8Q6/gAd2yUCfpxtgFL/ronfPvRoFqLjRGEe+AX6fHGYTX0w6fp0dIYBSShsYI1EzsKW9KaNPeR5ECId8MJneppskiPzzhTC6NyZg0G10pABfNiUHmfbwZCD+ZHuM79CmIqMOpmmcHm53U9rXmUO23wP8LySMNwzIC6Cg5c5hAEjTXuxABrJuOESUQJQWCJ5ldvebAh6dfGwrgzdMWri/OaNfgGQBXnHHyvvg4M2IAgbAZhhuPM5dWGMhjct3MRMZMtBhcqJbpBAAs3aUUc1QBkJIKMpklaBCIjMFkADRZEXk9lnBFJISvWmj0wcqPOgjsZppWyaLmo/6jz7DMbF/a3MOXhnsYIbr+NKjeNlBCTtmSKFlGtawJWBA5VHSt0U2m7WNDx/YZgBEsBNiF2fRztlmRz54/k86QeIfXKePPS8J9OY1+d8WdtmwUnDHjZ1wmGiO+4BMHAW/PXd7jTdbkKQCbExeHgiUiEDPNCetETR2wtO3K+DouvilMzg6EiI29fM0aYnHTiapQCjQlLkQzbibGBgM2Zi6E5bzwjHRMBz3qxtvBqASoGqXEk+hQNXnD+ItsFJmtvzp2zZyre9whUf3L5bX+m1quK84ACB+ATy7OOOE/Jpyx8bybXmyc8SWJIaUbjzOXVhiYdWMMMvM9SM0nPugtc3oRVGZlqDcpCQHDAELWsBT2BJhQR39R85I+IjhGiV0E4OruQWayg2u8wIKZL6KtAYSZF8hSdv74+ABbBlAYzOq0QknX0FJilJxi3wnhxlRof767ZR0u0ywB1RAtGRNxfaYzrHsTk5nrmBDZw5J5K39mOMMgH+DP5jfwoZw0O9Mt+keo2rzRJsR7iTJGxxgxA8fX0jk+yw/Vv8Morn43ZNqyGDNrTvZCar51YEtuu1X13gZY+aFIUVoUPRfiYFEPadBcEz6MadBkKgNzZOcbuO4p0NLpYmXZEgAVc2kTCuXeXwQFCFkLcHGeJgpBLsSAe+wTFp9VYNu58WXF+EZaFZpyfXFGP/kTijPHOvi8OAMQXuNzDMOLjTODRav4VtY3GWcurTAkHsxcWMxkWPzJTSMQ2riuvbUC7jMATYjCpJt0JBNMAiAZENPw9TYXAudYYxS2Z7ipLVpQNbeaLHMxts68ziX28ZPDPZxQttmMtRkKQJI046IMtlFVzpY1DiHImrktmTYbGfGtVbaTpVSvX+WNRpi5ChyzasDJACY1s65Pp8d4V3b4aD4xukqVWf/HxoAWqnwVV2ufGB1d8zASEwF3eYdPpzPkbMlayBHUBdnIzZrulH1jn+KJcTRhDrJl7mPfJEpnSJkEhS3klFyQ1fObkgIY2I/DNhFS4TmhCT85vI+/yK9qKNXg6WwBhIe79TVmo86XBULKf6WVLKmRJr7eaIwAkKUGVxuugRvFFudBffsqZC+YA+676erA08u1xRkrn1ic8f+o0v95cQYAXkk7nA4vNs58uNPz47jizOUVBttjQRV/Y3FjlF5QvDf+0RhdSF2XxHKnEvtmMRKbzQAa6hJrQEZg3xGurdtUs5gZ6CwBR7U/i8pqzHKV8D85fIAvj/cwRkutvawMSAJIIpScUUhZpVjQNcFMhKI5wIuo0BcXZHIzlG2B6m0A4HnxOQTVZa6aConMlEnWHgI+NzzCQ5zgw3xS+9f21YeB6nDQ8qLmYhJEIpE2HErb4fMs35WNa0VSZxICzXSXClC42KY+hAkZzMXGSf9EBDKo+RfFzb9kIXAJMJoQi/W5WQ9lwsgZP8738S15zRweOWZQ/hzV5GVhhZFKe1D4z4deLi0EUP/nxCcGzCkOB9fK4v61XLVcb5y5hzfH/InEGccUbvj++XHGh/LFxpl/z68ARCvO4KpLEgw1DwZXVC9gglp+wnmoMZeE0Nh9TjpnFCKEIBNpPLWIoATzUEeirrSCa99raOAFUr04+hPDh9hSBrs3qjOWXclQRqcCgAiUKEKgAIIkrjMAsxtKwyTh6eyZwKlpAPWavZ/XP2m+uwYuttb4Af50eg33TGlwV6F2rdcVdf1zVd0aaiZV8r41s6tX0zk+mx5HPHgoDzgU5OVQqBVQkFKxzVjUi1lPNi5UUjnENW6QJo5RwRY1CxPF+isg4KTfR1FFIaVmOaJti4OsSH0JCCyZijpXMRiFfIR7hyRlJIQTnKCKqWr2MYB6PgZVFvUsDq/lieW648xMtz6ROFNvqMqGVfvMOAPDFk4vNs4MFmWy4syVFAZfRywmj00cbbNeJSALhfGOuumGEeuRtjQTcfS2vugMT55kRRDMpgLRiJ8TRwD3TAr/WqLlEmNX3Fzn9Zh8xEwGDdA4IwOIsBspgnB4tVucBMU2NylWt/KoM2tBG3rlz1dBdqGpwquaqmnjXA2PgOAzfAamD/Cn+9fxQd4G4EUmNtT+UxDqcuUu7/BmegwRNZMiA54LvRXkFjism/pXBMzFNsoS9UwuiPFcgqvUgbRTDjRQnrH1bCLfz55wh4Av80d4K79WZ0bUUEiULwmiwirKf2K7FRITUAqY6trmAbWsr4JqGo11WFYeN8O3AaJTvqAb4CuUmDjfUAXjuuJM+z79JOLMq+kcD/FSVcA+BpwxEqoZ/gXGmS9tP9JxWXHmipkegb5dfmzBOBItEhNAmPblmnDVhosIWJRgxATfgsGVQRhxmIxJ4qS1xYVYIhjHBkbgccwMMusORepOsnp/YryHLYsm3jDp1wyQyshA/YRp+KWURoEWt6JZn3rv19A4ozMOFEaNpOtWNa7ZvbbdYiCh1FQtWWnwmeEM75VzfCgn8cDOm9xp5Ehl5yPDXaV0/+nPM7BksIVmkWZZazc/CbCgKsiscdApCcTiog3fupsqs5agldLQpV6UDgQdP9aZJTNjw8CXhgf47u5TJsja5pYfdc0zIaMBXmbk4gDZsLMzt3g7WpDi5pMa3qT+WPShAop+qe15Gp7eVEXBy3XFGdgL6JOKM7d4h2+T7uaoZP8YcMaVJtP1XlSc+cntA8ykOS9uOs5cfrdKuDBWDadGJQMA9YIMBDeJxxG39RVBtmOhfS20cVWWpdIx1rHqeSL3pHVBlzootWkBNNXA57/r3u96qVjSr6pNclXFdaDb741AFwe20PSrThsLpP5Chq8XVhOhry+q4DY0c0GUUgWC9JnqzEQHDBL1BD0NvML81lJooSxA6w0lhH18VZpaCJDmedZEpSKpUxXYh43qy8A4Wvsi8AA1iDltkQtGiSU9ZqWVjwUxYSgjhrl6OTsdxcaIoI5WSQAhzenPxCjIaGd0kYrY+xTAC6ecgSsHYTtQIuqwbTESBjAG3s11lxHai2av17VcV5wBmhBAfAJxxtvaxxM+F84g2mA0eUFxhtKADA09BW42zlzewhB/TSeo1bjRiTXghCn9uWAEMScdFeqDl173XeLDRVmcQDpqaL2VayiOG3H6ErNnAH+Z7+JLuI8TKuGwxKRpSJOZqBLrINa0n5UhXYhF3AkJcCxx42XADzkFvR0Uf4CEgIX+Sn6ftbeQZgGzPr6T71geeNdVF/20p0d/O2x7AofE7KGBaW/nAq2puaWJmgIlG08X5DbTmTskcR1N17iTEMAJwW0GBgF6/kQGEiUTYgc9ozgheAsNbchQkU3ldx5yAAAq6ETvQhupQlyFuTfCtsJNR8ZjLU8v1xVnvJ3+wvuk4cwrctKMzqKfz4ozfukLjjO+u6krSzcZZ66wJOEKm4SK5DBds0vZ76Nds3E1jUwHU/NmFwAWjVyFoh2IxvYmMA0zwgkJbi4E9LgfU42tnlsW15rfmu/ipzcfYCTdcU7NURRpZessgIPhfAQFUA3WGLM3qTp3G83sJtfYQdVsqe1pBr/ySy0hxMAP5jv48/wa7ssG7uR0UR8BM42hF+ALHbyAOqMCxSzAE9zgCEldSDykvSZsMZYuixtEvdh7ThEACWBLjwuBpbFTWlHTfhunyKXR9qUB0gBO0meCLP21AAQL3/OnBc81AozqaBRAZiCgMxRf864zBX/RRL+MX1cV4unluuIMAPzlfBefQ/5E4sxPllMgXdTDZ8eZ2owXF2dav4qbjjOXX5IomgGroADFQlFMU2774OtD2nolp4t2uLEQWRiKJU8BWXIUFwrbu94ZfwEIbhdUYkqYMINRoz261uf8Z7JTv9vfX86v4kvb+9hazng32bH/McJ8GGYuk6hwOnJtVket8npDoMZwCHTtIGtrL8gaH1wFwmlapODd4taFEqxzWIyR/f4WTDqdtdILAnxYtngn38Kn+GEvsD2vVqwCLFyq6a4TGxxpaNtKdKlyoR/HPf7QonQ50oRJEt6a7x7vMvx1oj/CN9mEOQBe+u6hoWS3Ut1q/X1j45gYcB3T+I9Qei0XlOuKMwDw1vwq3qR7n1Cc8fLx4UxX5wuMM9+b7uKNY13GzcOZK1gYCqTYeiIXWy9sTCw2KDVeVkxp0986RuSVNfVqVqwsRuyCSD7iZp+glzOKVSshxHpSmcieT03rYtri7fH1RRssAt6a7+Ir4z1sKIdji5rZ3JzkjOurRAZOVrXOyBHmzFajhzG5dJo9WUITrXM51DWKQy8iAwsAeG++jY9MiMWrX3JKw3cS4yDxH0V4T3O90ffDcoIf5Fv4FD9o6hVrc8O8Qc52tgcTbm9dCUpLxw/O+LWdALkLuY5/M9gxubPH7CThL+ZX4xnOddFhqXznNGowNIr3r9XeTd61v6H122uoTtOix73mf1iefHYtbVlx5sXEGaftQXkOnEEjQS80zuQ7eMPqvOk4cwULQ0EhglABFdWcmNiGyt5YmgnFBrg3mdm+cBCUxuSizFzMXkh+X6maKZmQNNOG2igfXbUdKotKlfbma69V1wrgTPbN6VV8cbyPLan7tI3jUr8LjggGCUZwb9h+7TUKe1tRmazhCwiFEAXmxO0C5+N38i386fQqPiy2FEHeT+r7GAxuvuLiMwsT6MZ7pm3msd9PLCH4FOZPVDnyhngr4ncFjtrZzqEniK71+czBqw1TZGWy+jyrs4bhNWKubxtLF1sq8joYNGbB1jToDFFFffHc5RQYdYwVSOiIVreWZbm+OKPlk4ozft3HiTNXKj9MnDnUOFDH6GbhzJWWJNR5pKB4jDPE9DrVTlnY6FIJ1/CpMX6MIHxNSP+zGFr4JiFVWNjvW3Bcw+fwMKJmXIyItRWH5DcNWJRLvjW/gi+P99QBEh6cVYXaBbgyCuDvrRBoAjo92EHFeS4GWJqZkF9KzrcN0zfrbyL43nwL98q2fcLRUsEHCwFuBboVpCuWRoZC7aJ6MhSZcEKSOE/Lgeia4H2W2vZjAl7ae487o8HBzZnC1g71z/is2Rmw2jPdnFg1/66FTbt9htmPxqoYPGu5rjgTnyIrzlylvCg4YxXedJy5Uh6GXARMmiNbCun+8SYwJE7bOqAuX74OCTCEinqowvYUTwQq6hQCZJUpUsDwoRHd0F5D/bziFiZaynaaoDTAYfeI84KeU3Ogau3f3N8FA/ip7Yc4QbZ6S9MZG2h3oql2JjjzLqjWPBtWl1RmbIrHQdcXoDF/3C54p9zCR7K1nsrR/7pHG6jEbIpKY34DiBrfbjex2uf9vMG7fIo3+HFTJzWAdNhXbzVciE3ANHtdDxxBupieOfhXkNFz/nshTE7LFowDnIxCEkFG0FAxCdN0kQJfw/bgaTIAIJAuKDcz1EoC4544xvWcjUwr1h2LNL8vW26aUeJa44wo1nwScQbNvx8rzpQNdvmTgDMNnW8wzlzJwkAkup5HSsYcvOcCrZoxW/AtGSOF9gxAbKcPJmg2NiGNj5aigiIFVIquL1qhdv9xG/Mwi0nVlkMOIqbaEMYpImaypKJCTCboojuhCQTfmF/BFzb3cQIFE5+yhHZrP0IhDf6pw1gbXo9bI9ALdsOg1H6Versx+Q/mW/jT6XV8mLcmHHq/iDttlagx6hYPORSgFE1XaldzMzbePzSzgg/KFm/jNt7YuOOjgxov5KqCZtvTNmWuzwy7C+IHVRBZ0EbBza6L4Hy/T33e46mdmVRqO+1Pim7oU1zjL7q5T2lmQQ5GvBRgIghsn/pI69sId/NXKbKgyw178T9rua44YyfjBfxJw5laz8eHMyKCe/kEH04vPs7oleXG48wVEjfpSChtTZgzmmMAiC1USDUoNub0HFW6+1zVuNX72PJ0M4MSm4amBI7QIaAXSADu/FNLI0C+5ghbQzMzYnhbO+c6rzf1igDfnl7CCd/H9kCQKwfHTndAZVKrf6kdR2vC+6g54cxLB5we3XpnvoU/2b+Ge3kL8ZfkknG9z+ICURmpC0CzawMIyaCnURZEap0e/16Z1EHEIatl39Yw2x2O9kRLyK8/AoAtgRbrpfUpzcwn7MPNs4vP2BQoVOtXbb+YIHemwrg73kBKm+Yl4RzgwxZzD1rCWNfTpu6WXms5Vq4rzsT1K85UnImX3IuNM/5sadJI3lScuVKmRx9UIoCK580y79RiTEC2NxeRbbgBFNH5O5mACxFiTk8MTrb9LLFq7UiaF1xKbBDTa3dG1iNjHzIMgcfDhjUKzsgNG7isioQs/fmk2yZ/aXMPJ+L3L5jKK4nSMmrfMOV7cTmrx4/xbpxUWqvz0ev4sGzRmi1jjVDiUAU+8VbIkYdUvVTJ5Hn0qoB7HffLBu/mU3wqPQ6GVkh3tIpall0+KMcylDV4i54yorzRy3DXgw58jB4H/ZR6jf9l2xY4d7zVPMBc1zuvZYo5UrRGH+uwQh0ZDjlgLZct1xZnGpn9JOKMv5Y+Tpxx+XzhcSY6vuLM1TI9imqRrkF7g2vIEXR0CsIvAHaNB70wc1jxqhbIkbwELNANPFSQQU5wIBLAu7q91H4b7ZKEuvo965dfCoThK1KHCiHymv/5/i4IwJc3H+JECnxTETQv6SBMtKk5RofHnQHjFsLhRc3Pd/Md/On8Oj6UTTVrihniO0E2EG3b09VHsWZmW88scKjSpQWD9/MWb9MdvMGPmk4Zg4ObBDtUn+M6fCukbaebZ7rDkp+vWv3FJYCrmXkt72kVKYjmmO9o5tq/lOhzBbjGazni3sxI3LB4B6AdHfsja7laua44Ey/a8snEmdqWjw9nvK4XH2caMGmvuYE4c8XU0O7N6569Ekyh5j9LtOXyAxV8FEtqQaxrO8SuP9auu3CSPcezYDCBUMAFKGT1eZuCE+y3VO/i0OQbpnWvVn/R6iPIvK6roKgGwfjG/lX86PAAJzTpjKQRpqVm14ZZtZJ8TAP0Nl5U3s238RAjvju/3Gv8AZam4NSOGdBVbdkZjxY8VYH3sIQQNcpIOO0AofELEYgFKBUgQsDbbWm9nw3wNw+L01XY/XXQi3P0037tCuM780s6ns1MxattBVmjmkTD9QywwwwtrsFXIY12Nm8hMp6sCBUUrp/Strvt3FquUq4rztiNn1ycsQMfJ86Iy4y8+DjTDG5UexNx5mo+DGEa0vWt0PJQGcTGtx4zZioQSNFzBTURiUA1s1x8UN3BpBEuAsAMgub+JmOwY0UaQruJrwowOtOQWN3i29tYPnKdCQDCgu9OL+GU7+MEpQcR/4fQ0EEWA94QolVvaw2La1SI/2R+A/flxJiz1Bd4a96Kvd+lZ94Gj8gtEA1Iif1pE6Vvm/c97vO1OFtZNrAGkTqL+oY2RLDdZrqc+pErodP8mzHtaOhnKjgZOnUzgiIF5zLgz/avLvre9rECUghxaR2RYALdjwI5j5N5ylPrpdy2vz/WdqWDK5Ej96/lSeXa4gwauf0k4gwWL8mPAWfqS/jFxpk75X29csWZq1kYPJIAnlNbBOI6PJkAEODbpvp9bR1O82ICUKAEzaZZU3j9ow4OzNOYFlzRCnMjPK656sTA2oY6uILqZOLasgq4aamNpOs6I+FLmw/No3kxMEcOBXO2xy8az0aAH8mA7+RXVIgdyOIlntWcaUwZpsIlkWFw0ghlDXXimqyGagPogN6VLh/lDd6bT/H/b+/fmi1LjvNA8PNYe59bZl1QBRRBwAiKBCiJUFNqSWac0czDmI31Q7+0WT/0n+z5A9021mZjM90t9agljdS4iABBAqQgXoBCXTMr85y9wn0e/Bprr515ThGZdVBnRdXJvfdaseLi4f4tDw8Pj6/unsIIqTQG4HFQiSyEr5sP/SQXUjAZbMaVRouG03CzCGaMpUT7FcgKsLrwstNFZ3jcAeZehNlMh+IzAEAsSH5sjXJgCRMhlab6GjTBKSGiM9XlLKuC/ZZul760OAMglfHfQJwps+ms/teAM/bzXuMMZ7sfOs7cWmEAXAtST9GUqWaOAIjjSSM/BDU0qOtxIkYH0RmFh2oFVe1aT4AbaGP2w+S3qlLmtqqgno+z4Uq+X7PUYUZgTg0s6QzDLPjxzVdAAL69/xjnyAhtMdDL9oQ2jZVBHIUIEPyyP8KfHN7Fx3KeWm7V9l3jdyH2P9Psl444ObnQ+ywaNQ9x0C90C9mCgmMheudDvsR/7m/g3elp5vQZRVgwG5o0EDdIm+Jo2wBXKbQZlJJ6v5JIjvL6ATJRZAGxoIG9KUJARTTImgsx65kCPdYWXZDTwgSbJcLAXrX/ZRNloB2Nt2IQRtoev9i2tJa+nDgDFIXhNxJnjtPfHWey7fcZZ8LqwPzgceb2FgbXZJ1e1ipdbzIikwoeS+6XNvUPANk6j50XRyoIXhbbC6BBivnJxLKYguq2mDDtAAgSVZORa3PMkNZsjzeFVq7y5p6qAqaGxtYH0uFqps79yfXbYBb8/u5DXJAKBJEFlUkqZZtstpEhjAUZHETTL/oVPuM9/nJ+Cx/LWTjnSIlxzxb0g3tPhhQJs5e/MH1gcp3PqoTYcbjmDkZsh9sYGgfjGk0X05VRGXEzq9h4eTYFGTRCE9YD3qYWvGGU8KwBVDlsEs3xhtc8Jp+JB1yAzk2nUvOrAPfOQc9ugNi7CrODoIiaH6W1ELUGMxW2Zjxgq+SlPbGFzttUXij1V2XJo6nBlo7SlxVnXClg7r+ROLO0NPw6cKbi773HGQG4Mx46ztzBwuCMAaRWH3pq0Hc8F953FBPyvHpT8gXoNry9CAysrCZuifI3u+6dztQgyGOd3TnK2+nxVFlYB4U1iHxrZLsjlMmY9NQ4Zt2ehdZAzGr6YZ/VqPfyj27eBgvj27uPcN40Qltjgq9BeQvc1EioHtTZv1/2KzzjPX42v41P+NypG213plTv2h6mLtX4i/CaADi05l7w5ZgtnoGaZBXRGl6aUh+xMiXA24htoOCmZLa/Gph9CbQSZJFaOIrZz4Xc+hYWlWIuRVEanBGdhjpr0u8sjM4cQsws8FlocjV0vdTWTJ2vl6JZNf5oexVmQh35wplbuk36MuKM5rcX8W8gzlT5fXA441t5q4XhgeLM7RWGOhgD4e2K2NqSqrwQMg3KBoqogaEny7GICb7toTYGI/i2KFHNE0li90ROIc1mEY6TlPaKIweVsqz8BgcgG3xm9NbQTJjds8rr+JObr4BF8Pt7FWZ10El/7vqfMnXOjn7Jj/BMVIA/lXPnOOT+ZGNbYzwwa9SwrsIs7CYwnxkcD5If9kLJgcl5MUNwISt985kW6boks48I8ITP8Kt+hXemp6nxx4zD6iUyxy99TmhSoLVofJV1fF26DNQADIMJNGiin6q9HysM0R5LLsDCuT2MLWyrzpzcpa6FyBEAIQ8PvNgXXTzXY4o2EBcnPqvYb+ml6UuKM972XJb4DcOZwA/98WvBmZjq32+cYQvOxJyOoZ4eGs7cWmEYh7ZKsSy++pxA4PZFHyAAEWSFjMAdKE47ZiqEauwN5h3bLIxmiIzGij8CE6TW7f8K8pxyAoGZ0QjgpufaiZ2E59qiyrzNDZg11reYpqwjjR8dvgImwRUd8PXdU1zYemtrvvs4zW2/nB/jOXYgEH7Gb+OJFE0/ZIJLD2CarJsGO3rv6FWQK5BSHROKayeTSMiz72F3TTdMnMwgC2srIPyKL/Gf5jfxlfY0iJqYkExLIIucSSDMkAmY2oTYEiXZhuh/mY3A42FIjl8FKBdkNoDLGZIAbmWgglns5sDss683xt74Si+zNrXqhFTaUfOSzSzHdtZhlFctu1/K9GXFGZPaUBh+03Am3ls+06+DtZZugTMUytr9xhlVFExheOA4c4clCdOBrMHkP8Q1d9PoTNMJhgNsFmCmP5HY69xV0QSTskz3fbiu0QEgapjQoMfcEvzkOV/vKb5OR4Idl2U02znToFEwExPQhdGoGRioV7YzQLO9UO6o8uPD24AA3+EJ395/hHPqUQ+B8Mv+GNfY4afzO3gq59AQttbhMsJ11uFrfu5s5ELM3G1tcdFNgq1dOv1HPXRtDHUcTYCJ8tPj6xKA1swZy9cXC0fGAiiF5l99Kci9igWYWIBJDODaMAuq5lDUkREXvmyy2EtBNXh3xOLRsuAmVGsq23jHjuuYGRh/FrBP4vmLA3kozCpf+evh+DKVHF7s6fHY0nH6kuKM3Wer/zcNZ/JN9mvEmao43GeckVyieOg4cwcLgwwtIvHgJvmyGvM7wSxLmJGMqE1lqbM67IhtdWIIYKYwAmkYV0ygqamQEcEPdYEd8KJ5oyll+Lwxaa6pXq++B9oVUSYAzCBzTNEZCnuHRsXaOvbj67chInjcZtWgoQLw5/M7eBICzNru5v7YOY+qgqx9N+02vJbzTxXb2jM3LxR2ofKLak1VcFNIB1CJMZZ8uDiFxagWBk9nKGjbARM0qObdBW2aVJjJxrP02UPxkglhzmzG3eh+/YAJf90fg9kHTQYaVvJK9CVZtwpVCJv1kRbUPZVuK5ybsnD39GXFGQD49pO/xLPp0t4RVGSw/G6tiF4ysgCgsw+wb3MsmxAIn83v4Kmc4V36AF+1F6XLeU0+600aipnNPTR2Mb9L5vKPt68/xpOzx5XwDwdn3BLBG87c0YdheG+Ot1fuD9qP5DV2zZsAIgbb5lLhruBg69MEwW7aqUcxAZgmHSebAajMp5PSsEZUGuV6mj4rtp0pZyIRYpabRnkTsZPrilCLDP3yIRcB/vTmndCcU3FWLV/3devMBaZxO9McDfPi5ZcMOgo8UMAkL2j9DkBaGxxYQi7hTOu5fPxC9w6hHBnb1ksJIHFHMPf49bU9FSomgfDsgewwiUBaQ2sl7C25ombAWhnEv9RLptU9x4QfHd7NOuG0csWuvl4KeJcqlinGs1F4vJ+WaBqeW96qdYz3N9XhVulLijM/vvwm3r75FG/jE7VeVAtAvGBbKAN2eUgfgfBxXNM6L/A+Lrz/VJ5zPl4hL4lEu+vsOV+uGOQeAD7bP8JHF2//WnEmFZj7jTOOiRvO3GlJIl6xwVBOgFGAxgarRu7qqJsABe5QRAJ0YtX6OEQF0jsaEWaZ7dqENhF2bacmPobtW7VZQ1QG5Z5iQ3TfJXd0IpC1gczjkQbnRziYUENriNmsrsGlQKZIqjktAaSq39YcMicsszDlkbcwnvUtRJIBQETKXxQeSBJ9LoAztgkGlgSP7h71Ge0BhBdwyI4hr2vSJMBncoYP+BLvtOcAyIdAR983EItE2UKu1XetddIb5BadIE5RVPInHLY8q7h4CscYDvM7oiNZibJEcqdZxQzSo2SFJhBNgM0ywwStTi7QXf5sIGF++EZbHiocBsV6Uc2g48vtdLrdDOTLmb6cOPP/fusf27q1+iDk8QEEUNN7zWbIJbJhfTHnDNX7TKFgEMy3wcv1Nf7KSFJe1BVn7Ahm/SuWlNKGbNOvD2fiRc73G2cqxR86ztwx0qM3JN17/AWm3zjyLDVUN/0EfUTiFkNfyrqnWs1JHTMaEQ7zQc313DVQx1nDhMnWBW2tyRYpdSnBTPfSkvFLfbouDzQhPZk0nGu9fRTD0ETzMwMQwWTaYdGhw9ymE4YyAM44wWC21pVvfm+YacEeCMQ8bAeFARFsjIBcyy3mzKk11PjqVQMlNHj4FBECd/HWKE0cRMoop7Cp0HzIV/j5/Dbe3f9t5CMQSJqF0IXOwkJAobMWmIc6SSpFA2OVJZ9CEh0rF4Fyw8BFObC5WCFCoPmMwpLGdfdqmq7ZgmztUQPAoO3scwK1Sa87IDmYUKiS9vJAAFiM6BE6U/bPr7rI4AXJZx8PMG0483BwRsxxWTrjPuNMOCyAHjzO3EFhkNIAQbr3hB4dFK/CnDldM+XIoIIjmIQyoIqQHWyvfswsQO9qQpwPHfOO0doUyh7qsaDEQSmXIa/HHYuc+UewKXI39JrKfWUQMosEBDrBMJoIkW3JpphppGZNigqBhMagzqiKFEMoVp8FmBXO/xmYRTVa14BpLFOAmHHBiZE0yCArpXxyOrm+KnEdBA372rsKJJclExTudCclH3fri1ppOKP1BXek4NuyY6GPjoE4Icn5UOt05yJZlAOgAAZpfp+dmIk5x9cYiaKTtnZq9HJBjn8LeCxSzoBzXfRhvvY/f9pw5gHhjGFI7/1e48w4dg8bZ+4UuGmZUliPheJYmJFMIQCgJ0QK5alesLzMGgdgBmOeZ3RYPBQi7HYTdtMOk60vtiZgNoAQHKdBmBcNBODrTsokCiiTaetiW1rIBEjXzaB6Y6MSXa0K86h5aps4bErJFEVgoRq/a/7aXgFY21P3AuvEg6JwFgY60NmiwhWhVk9vGwEBfFuVMIMH5jUGtGvuIRwnyNm4PZ+e49nuGcLpB2R1LIhduy+MCIYiujUpjwROESQywAsuKN8GmTT1QFxA9RZHHyRATDFBhiZZs7XNRLof2go3w27mC/C0OmoZixnMGuuduvrCtADqLW0482XFGa/z5ubm3uOMp4eOM7e3MIiks0xoOLkCNH6arLgAUWpPKtA6V5gIQAloIQKNwT0fcLi5hvQZfb7BBGC3mwBp2O33OGOJkKBkOxDEj4CDrLBT9CKEOO9TjBdEdK1JalARZyZdX9JtT0hLacrNiXoLw7FpsSJwkyZiNo8QkNzyw6E1d/NeFt/L7C0TsbXHGdwVcAiEaVLA2+3PsN/vMU1Wlwnz0nOZbG+3OKjY+mbvs81IGH9L1/j5vuMr7TkaqTd5m3ZmpiQMptKBd/LP25weH5UzUmgQvEbJ0CbIPkv02Vhq+Q5YTr/yrJVNEtwJX6OFO7dRK7uY0qlpjZfE+7VyX1af2NJt0oYzDwdn5nlG7x3X19f3HmeADWeAu4aGXmnywLxFU0lyqSYZJrqUpXhaGoG6CnSfZzx5+hTPPnuKw/PngMw4myZcXpxjt9vhgnsc+qFjYRpsDLZ6M1OJ0laaG0JMSFkEdF9vMy1WgFgDGnJTU2EW9dpt5S4RbAsY4Zibc/phG4KOhFgbRuW7zwxylq/R2HS/sdJSMJvAPXv2DIebG5shEKY24ezsDJeXV7i8eoTz83NMreUZFChCRzSUybE3e8Y8H9BndYj6RAS83+OfX36IqU3YTXvsdgLsdpimKddZSzfqdKvKVH4pPENGeJIgfSw3WDY3oSpNEOuvkYFSkfDH/FzCyg5igxaC7F5oa0nK0EgZr7umz/HIQ0wbzjwMnHGF4dmzZ/ceZwTYcAZ3Vhhe3Ja1+2om9FXIZl6tKINkDNUI3IGZGc+eX+PTJ0/x7MmnaARcnu9BRLjqeqhHnBJmMweQme1i7mGJUvPzMZJBzqwcCIha5FXt33uUoGMrpHDTZwBB/CB4bPnKE8GItkYWGv5LKe6FZ0l6gM1ss4GOw80Nnjx9iidPPsVnTz/DPM8QUY/pi4tLvPnGW3hrZshjwW6/M0Do2hxKD2DfRirM6NzR5xmH+YD5cMBhPqD3GRDg2flnuKZrnJ2dqalWpnh+aq0EfXHJM7C2ZV+iMbhN0Lgo5Eak1Kx9XOx77CYRxDhVs5rU5yVHMQEsBbiuI2ZDqBTkP18+Wslrf3eJzTXi23HJlyltOPMwcGY+HHA4zHj69LN7jTM1QuZDx5k7LEncQnEZtHpNukznajoQwkZVTMg0MdGTu6iBBTj0jokIc1dtv5tHr2txR8BBsPU+V+8lv8NBBaVuIIyYMZvQAWdAD6qRKrA+TyidBSIgjP4mW98ahXnZUFkw3xqjpCat+7Z1K6bGOJ/7jHmeTev/DE8+fYInT57icHPQ9dFpws3NjEY77PdnmHY7nPE+tlARgNZ2aiIzINMJlJZ9OBwwzzcxCxDhYRbX2mSBUghke59ba/B46r5+KPZih0XQ0wmO0oqocIoUmtEovD52B274Rb9SZcFpeERHsjFb5ZCCvD6epAfBlPH1xFaCv3xe97v7QSoLG848GJw5zGrFfP782b3HGX207kR4mDhzp9DQ8a+4D2euNdJRzlGg6z0iD4KiW2E0/OoETILd/hwXl1eY5xnz4QYkgmnfQNMEIcTWHyVsURcJiH3R4nOKMR0BURlnBxUqmU2uV/pVZiyw+Apwrd8eNmHOSlzAHTRuN0itEcS2bun2IW+DhoCdpgn73R7n5+eY545pmsCs5sT9fg9qhM6Mm+ubWCMUO353mlyACXqGvWnWsT9bhW2324EImKYdri4Jl5fPcXZ+rsFu2oRpmiI6npv7Fno4nFd81kMqrYCDOpMBiSzGJJ/+jHf4wc1XnQmHHKdAUb9luNgs3veSu6bfgq45tjZ+kmUdjVvsX1p/zZ0a5rBsLx+TsayHpzRsOPNQcMYjNd53nBnuP3Cc+TvtkvDkpDjN+HqRRdBaal1iBBA0UBOQNLSzCY/feBP7/R67RuB+0LPPJw140WFbZ0w+tE4CqEG4D7pefPdJx3DH7+eMhCbziHaGpDqohajudEMZYoYk/VjcmYmpsESsf5UXXdV8C8wkDQkA28Eq6gTVrb8e4EUEuLy4ApGaBlVLV7Dc7/c4OzvHfr+HiGA+6F5zASwULkWY2hgpgq4TNvUUh9U3TRP2+z32l48wX014+2y2tVgyM2PLtodd1mlPpVNi/0vyiwtm0LfwUPnOiJXGNCNiTG6WJdhs0pjEgTrWFOuzpNo/fJ0R1bnNwA0WJTBGMHkoRvAlJkJxhnyZbJbDbLaUacOZLxfOEBHa1HBxcW7tuac4syKHDxVn7qAw+NoaYlBca2rgennlufG3nuluwTZgBBDBZJHOzkCYJj0Aqfcb8M0BQIev/+l541VfW2hYRFiqXFzy1mzRxtpICh4cri2nDq7kj9dk6LGWI4vy7Mpi3XMtkTFQA4DdDo0IPKl2vpc9zs/OcXF5oQ5D5bz27H6LmQYzo+rLiUsGYK0p3c0xqTUEYLSmM4Bn+z3+ZneJb57/wriYhg6QMAQttmetUGyk1hqvVnqYJDu9sv0UklGFavy0ffNHBXubPQAN5TURXVvOFg6l1uZur/NXkTaceSg4M/Ud9tjj8aPH9xtn4s6GM7dWGFoj+EGteWqchSIVE5GMuQrLgKJ2W/SxJBzVPGigNgGtYbdv2O122LUG7gccbp5D5gNinzKcwA2waH+LQFcI3e5IGpdfj6Xo9AwmtbsjQYeaMG35zBjPzINr9RcV0K1DemJb1ujbxBzodq0B0w7uuTvonUW79TKZBX3uuLk5mE/CAeg5c9A/NfXtdhOmaYfdbhdKwzQ13VZGOkOYJs17se84OzuzSHG1CWYeFbbTen1LVxWIBVGPxmjo0qAp+1qlj704EMhYHGBrixFcx2hCo6ZeedNpFnqIPckiucZombRddL8k+UuSNpx5tTjz+OZTnM03VrYglW7LUN5bRzijO05rK01B0KBX8zybL8IM5g4Q4dnuAs+m/SrO7Oc99rTH48dv3HucCZosnn1oOHP70ypD208mLzqTZ1p7MAWBUlEUCyIKojSx6HmfMGUXu/0e0homAniawNzR2k7LdAbxQ0a8RQRkSNlCaRugBI9Fu1+gfYdW6Pn8e0lVsAUSx04PR7YOeqir3fZLlkUqZXVt0RyA4Otv09C3ZjR0effv3AXzNKPGpd/tLDBLURZUkHfxN9mpb20iA3CE+bA1svsTIkSvIGYcANQj2NAwulSFDSaMRTk6lare7bsi1ISmM0cXrGFGo42wSou2P5RZx9wCvrADosR/zmO8aOa2WvBq0oYzrxZnvvnxX+GrT993FQIj0QZyFh738kJLyTItBgGL7oronYuiAfzF9Fv4ydlXVnFm/3yPSXY4v7i43zgjQa0HjzO/Fh8GT3UtpAZRsQuIgOp2lQFMZs7x/CoQakJsTeOHT9NOc3VoHPeqGY6yuvihjGSvlpTDkpMMibx+bdMiLWYBAV40CqkyhN4UWPjZZBvL5dcUVeqhdUm+Am4AMna7R2EjwLyNfW20GHKjOQSByITdbg8gfRJUEUmPYxfmFOoJeUSu6dmevyJ5CEPp1XL9FUXIikYNnw28RCLq3dgvXm7wIm+9l7Oj5WwxI695FlXKfGYBiK9kChaA4V1f0HtLry1tOPP5caYaEcaXWfYlyhqWhBb5FopMA3QNE4CkGQJn5+e4uro6gTM7tE7Y73a41zhTy6uXHiDO3OnwqSCFj5WTUMaBUsaUYFBXV30tUpVi22MsHpgkNUGdIYvNBLqdGqcvSWciMVLr4WT+cqN8AYu30P9FNg4S+V2pz3vHaV1wT9FIvxAlA4ziLOOvhdKQyxJj/da7sYWmlWq0WgkrQtRAqqUD/umBbVJhqMsT/n2aUuCJatl67bns8Amf4w16nu0oDE9lFpKBSJa0Ks5HpyTClXcDPUgVrFyxHZx2QvnSh6WEbpUlQEJfLt4W9nC55OGEff6ozyZIb+lVpQ1n8GpxBsu8tf7ygl7UV/Pru7v8svY6htQSz01hWMMZ/x5bLe8rzviLfMOZO1gYCrGSMPVe6V79SvmsM0QwWTETCnSdSqDHzTILpqkZ8S3i2W7S8KDNgqgklGQi0rXPGNBFP5ayuC4jp9OLhLkwbSjAqAKXYAbTKqk+Nzzh1RXOodIpc5rx53MIUvvQY2l16WFsfioGY+jWBETA1pMNVMPMSMD78xV+Iu/gv9z/FcL7m9w8ai2ItmbPhrGqQjo2e/xu6SANv+oXRwN6tI+6zLYESIvh+FS2xtYq1VQoevBNeQkMXF/HPtaQXLrl9jy0pdNpw5ko//Q97/TnwZnakIIzbQfa7/TkyH7IW7udPuEHRAGg/R4gghxmVdBIHRYhab43BMJ+v8fFxfk6ziwUjfuMMyiPAA8XZ26tMERYTDEtUAQdpjfJgvnqLx1VQEx599ktaMFEmpfRMNt2pm6XG1QbmyYCTU3/WgIAkPu1jxugv2loEEa5qWuLlHlcUxw0axu48TVldyVNZssx1Wuj9h0R2VDAR/J+WuRoUWhRCEJpcA1X7wd9W8tZUSmvuTJhwBIzr9L/oa1QNVgdeiTOsF92CUCcpqeCb2XF1nUZilxWJYVSTp1ZGn7e38D3bt6zNb76YFpklA3VO96/w3zrvd0qkID7s0es/aET6oGtsGsCTaKdiGGy396aRV+WJw0ERi2BaFh7PiLlg0sbzrxanCmZIk2P38TZN38Hu69+Dfz8Ga7/8mfoH7yv13/374HOz3H4T3+J/stfoD16jIvf/w7o6gqHv/1byLNnmN58E3Jzg8Pf/DX42bMBpzTw0u4EzizT/cQZ8dHfcOYOCoMNNIkbTrzLSIFc8HV88bGzgzeIJixNV60po6jMM9q007PpQeggDajSAEy6j1nga4Yai4uFddWILNxJayC2qGXSBj3OaXekxBMAkgCcWJGydVFldt93O25rSnFMJhvuG5jl7AfQGU15zgSginxdxvMLGZnN8rEzP2VZrky0KZwiR8Cq42VPRnMdtJXx9K73X29dY48nfIk327U+0ghN9FAfaTBPdTOxeZl+XK8JtHiEPLhgIBRqNgA4yISfz2/i+4f3ggi+/pctNTBygfaXh80YM6fyDNv4MTSynLB7wdvBMEQq4FaGn1HvQYBymDsckSjGaAHy1uclYN0m/TpCv/6mpQ1nXjHO2ItQnB77PR7903+OR//sj0GXl6D9Hs9+8B/w2X/4/+Hi9/8Al//kn2K6eoTnf/IDfPbv/g3Ofud38ej/9H/B/uu/jcP7vwR/+gn2X30Pz77/PXz6P/2PwPW1ti2qNgdTq2/AGTHJuec4w+zYYbR7wDhza4Vht9sV7ZkLo+frzfdJV6IuWqYvMA/AIfk8EdnAAjo/VqKJH+8KhBnLtT0hZZNYe6KqYUue2rLSluWk4+VJhbg+s3S+0lzLmQh55mib73oYzU1HtR01L7HRlYNUEAYd0+/7kbDVLEup5RMAWWietY78TXDgciD6lTzCT+aOf3b212OjpRRUunakoaPek/xs+fuAhp93F+JVMmF5I/3DW7kmRfP3a67x+7apEq5FCIIJaBYalvToXBCKDFj3fPwcPE437YXJ23bkYPbA0oYzrxdn2uUVLr7z9yGNcP2nP8L+69/A+e/9AXbvfBXTW2/j+Z/8EP2TT/D4j/8Fdu9+DZgmyOEG86/ex9k3vgk6/zZufvZTPP/h99E//HBVBk7jDMXfhjO/GThza4VhmqboROyTPhLkJOJwSEcoS75lxsJlEoKpKY78dG2+AcQgNuKF+T0lkKM9mce4EwMXLdLwmr013SgG2Ysel5qMFoPPwfEARctMiH2vuWD87QKu2V4yvMFgFAjlzzjNQrkI2uAWTJYSNx66ot+fy4RP+AxvuPbvPF3rGPXg/PR1SOGhTOeHAxp+Pr+J7928Zw+NWv+wtg0TYALCaVTGAUoTpYTcidUrwhZEhaxdpvlzA5qOgVgZDcXr2b/FclCZ1dUkI4i8KMXs6oGmDWdeLc7A7xqx+mefYf7oQ7zx3T/C5d//h4AInv67/x1yfQ0cDph/9SvwJx+rJeXsHDd/8TPsfuu3QNMO/PQp5IMP8Mn/83/Asx9+L9oZbgUCVcJeag6/3zgTBYo8eJy5U+AmFFoAKGK7/EZ27rk1rvRNY4HnmgwBgMcZD4GfAOkxI4Bp/7kW6V7JiBEZ+m4HnWT87THPqN2OV+Flxk/CUuN3x5MjrdmBSUzTLDOW4zUzWL68Qj47sFlBKJPedip9XjR5mWT4siJYMYaV7lis96YQrvHW+/0K38d7+Ef7X+Bxe2ZtVHqJbt0Yk6rKWprFu9fyfZVQnY4+lks84TMT4iKwK0IywIuM4ymDMKughhDbZz2SVkq/fU7JHj6VPD8HzZK0Sd+hznEQyk8n/ooz3QNPG86U8l8Bzkjk0H/blYZ7nj/8APLhB2gXF+Dn17j+6Z/h4jsTrv7JPwXtdth/85t49h9/iKf/9l+D9nu8+V/919j/1m/j+U//HHJ9jd0776J/+IG9yGsXJJYbjnFmTPcXZ0Zl6yHjzB0UhhYmOw93lpr/mGJmMJi1XaAXaqhr9IThBDgCW2Q3Wxf0dSgC6nqVDt6JGTgR/KAYKUD04jdtFVoXYu93eYkfzSwoHFh9bN2sli/nkt/XQIuS4OyQs4LKXNpLvVXBiYZmUICM9iVIMDjdSJTngkdlbHJolBbaxox4UHv9fr/C9+U9/KOzv8VjqsLsOdcYtQhMoe1B3DT4W8hOZBE6KxgBaWhUHOtrF4xX3BkJkgcKhUBTFWzfI61ma7+mUdhKwN8Y5BN8NDRwzJMzQct3h/XDh5A2nMErxZlFI3D++9/G+Xf+AJ/9+3+LT//N/4aLv/dtvPl/+79j/vBXePaD/wOP/st/jumrXwM/v0Z//5fAPOPiu/8Fzn/nW5g//ADTO+/irf/mv8Wzf/dv8OR/+f+gf/rJogZJPj/CGaVpo7bhzG8IztxBYZhSw3eN1hsVRMBwf5nS43jh1OdM5NPpYCpSL38/5LyCABEgrE415vTH0L3boWnbG5j8dDlaEnUBAanAhUCv9UQZYWkWSo1Tf9laXDUhwgfSTIS0WG9EKggKXpTg4c0LYFi0vlyLmQlENVV2M2xoGdlFMYctpDAnfxESb91EptuaPHQqgfArvsL3bt7DH+x+CRbGHjMe07OCdUvG9hA3KugiqvGH0xGVNkrSNWhQYEUVrAIZlj8EdgEkLrQ8fJegu5T/Yu8027q307/QXqhycxkK/x7r5y9Jw1LUw00bzozZft0440V4KfOvfoX5g19h97X3cPXdf4z9194Df/YZ5Poa+6+9h/mD99Gvn2H39rs4/PznOPvm7+DyD/8LPP/xj0D7Pdqbb4E7Y/dbX0d7+yupMLj8sr4IT+GM9+W+40yl20PGmTtaGPwXlX/tShmwpblJLLMH6AhZrXnKhdCQoz47wYtcnn2dsVkec1wS83otClXq5/lNyr3ayPAVKEK8SlY5dWPocTB6XvWWlP75DAB0XGzVIIvyoGVUwYpM5XOBQuLm09JCAUAKkj7B8b8ozcsWezHXdhQB+lW/wvv9W2DpeJue4h/sfxnt99CxOxzGICwgNQ3yGT7pZ0dORy8+RW0JDtkpLtez+cV/Xd8B6BADJAKDAXOQE9LYrUwC9hmAVxHmVckl7F9nCpr9msv9DUkbziw69GvGmSVf3fzlz/Dpv/qXeOOP/wUe//G/gBwOePKv/xWefe8/4Oof/xNc/IPvgqYJT//1/4ZnP/kxLv/hH+LJv/qf8ewH38f53/s9PPrjfwFMOzz53/+/OPz8Pw3997rV6f8YZ6ItrvF7/nuGM0d3HzDO3Ck0tM+C4zdO9cP1s8wQ64RL8p8ghPK4aWPi+qKGeKVittEIbgRBA5EJtGltyrusmm2s89n2HcqaRoF1dycKgc7+6/Ou9y0ZjWAaogPV8OwIcvniX+s5QkjSiUl8SmMiOb4wx3EpbQjFQUbuMKaX2hADS2+nEEBslHfQIe/LCqfZpQ/6Jf5l/5244IL8Fj3Dd3d/AxaBsMac/7if4Xs3X7XmSCzNrKX6HnFPamdCkkUeJG3zHaOU4/Ksa/5MSCEykY+lymFy6LQNyR5MxKjjZb9fCEhr9x6osuBpw5nXgTNJgGff//e4/os/x+4r70DMCVLmGZ/+q/8Vz3/8Y4AZ3a49+V9+GY8+++EPcP2Xf6n0efoUtHpyJEJGoiGulAnj4uZTvPPJfzI6SSgJLoljU/M+W5Con2CXuUVfzG+1A97ZfRy4AxE84zP89OYxBMDX5ReVmGP7nH/IywMez08i70PHmduHhpZxHWxp0aCq0stxW9TkwvBgLAJTtGrjI8CInpfAkmIlUDOgQPvetVFWnXs1q8dzFpiNDXNY7IGCXTvVYaQ0igsxivnbh80BQq+d3s+QHDEIsdSZ0sgU8VJ00lZm9frIYUfVdmdygaCRHiAVoONlkGNc5nUBYXuRa/jWbH1r6nlOrcXL3fvta75+WctRKsUpeiL4SC7wL59/y4SdrS6Bxm2XGEnU8hfewhLjCaQ6jjKbSyc4UEMcUAMFj3Qg04OP9U9/B/cZTTTcqxhQlO1T9mIowzbMXN3QWFqcMlHk44GvPqymDWdeMc5QvZMvuf7Jx+iffDzUJYcDbv7mr6N5ikel3t4xf/SRYoWZDbw8qhWcwJlP+AzfeP4p/sHP/l/DyzLjR5QX5kp3lxOXikvPFr/PIfjn+M8naPby9P7FO6iQ81Bx5k4Kg7cjX2zj+ro32HLk7+KUNMQ997fjQvpdy/ez4FQppdDEqjaYX6nUWihMDRB+gYDRie+l3+TrWi8S1JWUshtfljMApWUOe12aiBm0jMU51esBLUwUhoA43pcAIo613zpzEwGYWU+XY477/hInstDQdoqcnlw5qVc6mem45eaftCqaAkNFEEzzd21ffAyjb1RHTPMsaT0gUD7jwkEOuC6OooKqmr0mX290pUZLK/vtC7EZYtNKE1rkTGBYJzYeXvRg5IEt3TptOPOKceZlNmiTA/eVokVfy+vu2GDpn2WwuDMO87yKMz/efwN/+vVv3A5nFFZCQgUCZguIJFAFzjAmccYmIz4xKU/nEm8GjAJQ5iCFZwrZHjrO3O20ypC1ZA8XujjIZZnKYpXf1RCssINhRhc2vW6M6nQSJzTQBRlMU8R8+TT0JlPGUFmKW8ETiA+MFF9Ab4F4PgMryjWpGqLDC3SGE8GgyUXQlGOoywoLQ9Zm0DJfSGG++CWaQIB0ewGb8sCa56p1XHQGUQMzl7c0QVjNesyMZzzhOe9UCy4WBo2nTyG4rTWgNbSpYWqENk2FqTkGVwU4I8uJ0UdMqnQWqMJaTWpKtxWzZgHSpAzlmPqMtLwPHFTEyO/WUvVroxBqhgu4FOFORcSVn6BbVLBwRqsMIIuxPiHMxzwzPPVw04YzIyF+zThT01k/YOKeF2qnKj+uXIthIEpZkDHT1ZNf4m2e0ppobWbWOTeBRoWhNTzfX+Hj8zc3nLmHOHM3C0NUJFZZ0dnEyQKgamvD7Fmve/jXVs7/VpOOa7EEQjfzJKMLRzlkTiREeka6TqxFNVBjGiLxkCwABERpHpQAn7pCae07QgAaL0hhphOUdi0+Z0hFiKv8QoAyA4eTiihr9VuuMVv5wqxmVMk6hWFLDIIzucaZHPDN3Sf4ljwBQCqg3KMpIrkO+Ff9TfxFfwcg4LPe8Bnv0BrsPPoGarDw0g3iysNEedockN69kx27TfoclX57XyTakFr+alqhMdV/qdBMqu+DJHhADxvyM+679VuF14L+it83gPHpTGM0UeWqNX9tWTtEUNeeQ8DX+GH4XWcJx8L80NOGM17+q8EZX+f39O5n7+Py8Bxzm47oflzpeHcHRgMPTVw++d7Tv8I/bCMFiAjXMuEp7w0rtP9EwBVf468u38P/9Fv/5w1ncP9w5vZnSTDHcbMwLel4AHj9l9GFOAGASE05WhpixF2WSARNGIQOMMP1b3X2Fy0PsJDcaVoKZyCKkiNp2a6tn0pLLd0fXHnORuGUCVHHcFGWa6r1sozZqPwO5jKtXF/8qWQAFDHTuTPO+Dm+Nf0S36CPgE747Fp9DvxZBw1XFkSAN+kJ/nH7G7RG+Ov5Dfzk8DZuaI/nu0vsdlPMAAA9HEj9G1rS2Me3kZkSCZNF2iM78VKXT10Afa1TUjv3lwNVcKHhq47MMZ19FrCaQtFyJUlBnkUPNep2nxn2wmh5GpGeGlAqavFTFnUUVDm+j/GZNPJSPL4lTRvOvFqcYVcarI0Q4JeX7+Cjszfg5pWYBS/JLi5Hggkdb9JzPMI1qoy4XLvcfXx2gQ/OLsOKoqfnjjhzKDjzR5/9Bb55/T6eP3++4QwWQ3APcObWCkPvM9yRw805x+QbHYGi4a7xygQMoSk0Pzut4vANoAmrXia6k5WEMUFyiw5BmUagYTVJNFKbD7XIYpv2ioAepSQsGefk2Lyc2oYvK9ddSG0nbhSVXOGTJBHx5TjAX+wLhQGcyxIQQFhwgRmXcoNvtQ/wNfkIz7srFjBGVcsEILY3muNQFWp2st804W08wz+Tv8Uv5C386c03cN0vUmhdjbdZgbahI0x+RFHWNDWzUKhJ0Zc0GqVwp6bkQjxST6sj5J7kU3QfjYhVmNjbCTGzoL5AOrPtkW7owjY78PVQgwbWmUEjQhfdFEVIJ9J6vHFV4bf3/+dPG868Wpx5ij0+mi4DO75GE55ihw9xbjKMPDEUZeZqisQFZpxTxyVdo+GAp0xjHn9jQvM/eX6Dpze3x5l5nsHMONwcNpy5hzhza4Vhnme0kIzU4Mck4yeNk2ebo5anuPwL6J5TM+WJuomo9u9MyBExy08ta5PKNQiYGqnmFjOBsWX196jBZ/3JCLS8eYIynutEYA0RiL2cu3R74XP4GYQmLxLXSKCAFSZEDmVC3LbqnscsuKADfm//Pr7RPgE6MLOg927rhg5ORZBd4/b1ttC8uykXjK+2D3FDE/7jzTes6xq8Zpp2ulvCBKTbUodq1AKQmCBP8J0W06RH3E5Tw9R2uTZp9l2yWUOMDa1/r6NQJgsxdHWkyITRg2LWZ5yODA3BGks6yFAvlWMcJgTi8QDHHANzjS8xwrpwZ64ll44zmRdz3ZcvbTjzanHm+7uvgNvbgTNvffYB/nz3Lr53/s1b4cwfGs58xGf4gPe3xBn/7a09jTOHwwHMonyw4cyY4x7gzO2XJOau6+ahpUtGdLcXCqQ0xRQ7FeRRKNKgqM9wJYJk99RhSMJg0+Ear6CDMEPX1tukdbLkNqlGBHd1UgVtnJVQqcN/W436lM9WaBy2mAmYhghZ7reutegXZrMOdPXs7Z3R5xnzPKvAdQZLWg5sk3IUIkUASTDMHC7ogG/v3sfX+hPcHOq6nTJnDBdgR82W++G55ea86qUr2OOAs/4cT3lSM+Q0oZ1POsNqExqpEHIjnamJgEXtbGzeP70Dcxe0iTFNE/Y7wU4mYNJjXt2E6I5lruXHGEgB5GQ+G4Lc7gaCRYbLfDmmsNwKNl3URNgBdOixxgxddyQ7C5HI6SwBguT8ZGtG4i+YYezV7z4FdynCOXaCPMPu1Lz0oSkMG868Xpw5zAc852s86U/uBc7MvasipsTdcOae4cztFYbeAUJZXzSnoKhMsim+dkSLptCUOcOkbn6v1hPC2KmJgE7AZILpi0TcVW8jItC0w54aurhHa3UctB2wBYW8veR/1kQG4PteVXs0Ipsnbpik2LupzN9Ihzgbnl6ubJYD7qo1c+/ovWOe7e9wCGGGcMz6g2QGFj4j8i1ABMIF3eDv736B9+RTHG5SeBrlmpgLtnohT+q4KIoGhDTtteaOYir93Dt+u32Keb/Hv3/2NS23TWhth/20R5vU7CtQz3E1t3WwmSh1zc4EDA2QpjuHbJmFhEJICcpXHg5nhNU0A9IQttdp02JbnOdVXUtK2FYd/s6MWYADswqyNBPsFmbDoBkp7xATmrnPN2O/BsHkwk0dNeqmPshDO+s45Lgqr6zs5re+obwYH07acOb14kzvHbPMuMHhXuCMsAA72nDmnuLMnbZVHnv3eqrmlVr5mFlMK4R7mi4aSkdPuB5lLBMdV5IzM7g1HaTI5yFT9F+BaYRoEVf9uF/BKi79oW2TaZ8JU9lCSWxQLdTNctYxZ1o205wfr0sl6IvAZwbdOTDaEto4UVxXEW24bDP+cPc+vk5PbIukrLbLSgrhjzwMiLA6NE4Tpt2EaVJLgvtKtNbwWCa8jYbncob92R77szPsdjudWVkAJiH1lhbk892BGqSuv62Z2bB6PSdoRrt8PKj2o4xP5ZijEGm1JIpxVKG2sQChQ02cHQQmnQUcCZTNIBoE3eCq+02bgUH8xSa2TW/RPjOnrh5Fu2zu2nUa5eOhpA1nxj69WpxxpeV+4MzZ9R4TTTg/P99w5h7izO0VBjqu94h8izWhpafp6FByqhcrSVID9DWkWB/ziIGNIGTOSe6hJylQPjNJy45do2SFgCFjoGBEpEYaLFU0OiGxgC8S1yC5E0G/p5ASNUytQSbdytQA8NQiDw28kGbIJjrLuGyMf3T2MX67XYP7Xk2NLOEcSdXrlgqAhErpbU/T4m7aYbff6bixgk+bGn6PZkwXz/H9/hXsdjtMu53OEkTQeQ7TXCuevcw9BVn3ZEKderRMggzDP/C5CzFy37k2ewGuLqg5kjE2Hkylw2cA6eTpZtsuOnNla6fvkXaaCwuotZilsEjwiLDYKXNOP4Ew5Wxk6IsMfLSll6QNZ+Lf2tVXhTONW/EF0Oe+SJzBJ+eY+BkuLi42nLmHOHNrhYFApZHa4Za84pnSUEK0GCGkI82JTh07noRogQSmW8L1MN3X2gFurCYqUERrESC2PnmNuRZVB7020wTfcrnDja+3VRjS50y4HR0k70lsW8y1KRAihCrMWWdqE3jaqbbt+8Cl0irpMlHD44nxR+cf45v7GSKX4G7RGruFY+akmYOYj4UbUJnVC5ebmlp30w5Tm7CbVPsHYNufdAvUFV/h0XwVgZsAFVbfW6z5nRnK7Aeq5WvAGx3EtjLzCiB182IZr+wMMJjgFrncn77bKEf/gdj7zKKmUBaBdDVEMhh9WAtUT+WmU0uAphiP5juhWEDEuq7KVNZsvSf23deeA3i29LK04czrxZl2UGVht9vdC5zp14LpesLZ2RmADWfuG87c6bTKcGWJNToXaB9N+603cRSyJKcIprXbUNASKGp2GWbcDGAqOVxQmAXSBBHAhAj1rAH/GJ2L7HNhCiRKAdRDmMQfLs/lgGXccP+NIsBJs2aR4ggWCKk1NGb01kGd0Lj0x9aznC5EhIka/vDiQ3zr/DmmdhZAo1q/aaRszC45A/H6XfPn3tXrGOppvNvt4m/aTaBGmKYJU5uABlz0C5wdzrV3MeNKKiTdDCzJIq2Th3lNSPb1Qhg4DmyBBADnkrxu18ifzzMm3MwXnznpAxuos4GOB1fpEMyRh6MPYg1iUT5oIjYL0MAsBFgYV7ZAKw1NRvhJ+UDQ7JS1cEtj2nDG+/16cAbkctruBc7c7G9ANxpldsOZ+4czd1IYgBQuoGjMko0mqtuXaiYgTh5w6jdlxBYdp2FUkxzqKuKxtlHW2rjkZ2vHNMpvNNL3tRqfV1HWuuyLM6mpo0WGBcsRiUtSNe4qwDDGttPumtNAJY1NSDtpzHMPzCTCYLEodFC2PW8zdtSN2SjOcpimlkehOCeOp5RE/0EUwVuAjNpItm+5WVAUn3GICCZRMyNz1x3etqZYdHMrz2YYDSbIZpBoGQGvmShX6lcADZUdDvDjGHpeRCkJDYx0SmJQCjNgWr9FYOtAZ+RzDvRU+USbwQaGjQFuOuckAZjV85rNztgMrBpVAR7bfnKNcUuRNpzBa8UZ50m+Rzij5n3ecOYe4szdTqtcY+LxSiH0SioakcdyB5Gdke6mLM9qAlzHPJ8GhRZNgM0aUmukyg9ryvpY3KKfWr+M2n58X/S/2EldiOsaqprpSt9NW/R6IDw4XKmnL0dVAphzDuHv79/H16cnYJ4wo4OE0ahhZ9uPpqbmR5JCSynlBNp6vy0XFcGIkyRnW3NjED/H1J/i+Uw6y4DPjDrE9heDMERgo/gN+PpmzgV1UH1drw7yqPkvxuYFg6cCTEWYFeQ7i3kqq/B2RvwWIT2HPuYYtBhi3zLnAqu86ofbaJRA20gnjvs+Q1kGBN7SbdKGM9n+of+vEGe86/cBZ/byHNw7bq6vN5y5hzhzN4UBIzF9zS2Oo6Wqk9mFUf2JcVCtMvgpstPR8HlKVs/KcgD8u0A0Xnwwx9iWXF8MymeL76SZ1XKzz87keociCxwIG1Sz91mIaZYedCXWJL0EUtC6nBhnTdceGQzpADphaoK2ozDXNhOYOH7V5dmFzdcZDWBy/VOFuLNaNXpvZuUQvEu/wu/JDf7t9dfgW6UQ/TTgajqz0xgpbfBQduDwlsFAmlz7VpzKTxfmlOmgt5uCfSYiMDOgCbGA7NAXsv3Pgi5kIVlVkFkQnsgsrvGrA1fF/DC1SrZBfEYhCLoNXFHybhaFu6cNZ44oUsp9BTgTdMK9wJk36Ff4GwZubm42nLmHOHOnbZVSWu2iQuX6UbtlGIkUcNeOStStk/Jbk2uobr5D/u6dQVNTgRYf4KbrkMTw0KIp4jkIbpKSgXNMC3xJu0TkyEVmrd2NCpM0dX4hVs9Yag0TERqpqZCJQdzAJrgigj/Y/xLv0SeY2cN1FDAAAWbOS/yy8KIuvICd3IbQzEG+xpuOU+4UxfMM52AWwc3hBnM/jDT00L3NNlORh35taDvbc02AxKzMRSEdx4YtYkFUu1KBfRCYLM8FmA0piHYKrKSzls7A3BkH86juYnnLs4E0ASQl2eSTSG+yiEVr0/8mCFqT4fyDyg00vKm2dJu04cxxemU4Y34Eu93uXuDMYT6AZcLMhw1n7iHO3O20SnKyOssXDTXylWcArO1HHnPcvpNmzIrjZZ3kHaOD0lGKxo1VC2RcM1w0R7z5dXArmJXF1WUvT85gnIYiADUNOUt2muTQYN2fLCw4kxucmelS4OuNCh/ukTtjBgToFuDD69e6nMmtZcm3od27MOfhNDlrEioHX4k71uTA++xEBdn+yOuMivMR8jbxQNKlmc77u0xSPt3MJ7AIfbA1RCAjq7E6F8Uaok9DAMBWfQNk4+2E6LsCQ+5/9zZX73TfTy4SG0mc+qAodEsvSxvO+MXXgzMEsvMYdvcCZ0KeOm84g/uHM59zScL5ftwB7TOAIHR9YChsmDfETzf/aPk2kGF2w0BsNoYcvZk9z5rkju0Uce2tiCFlLW7G9CjNLvDiglD6G+19SYpWuanOaKFbZwjcCGACdcHUJrjZ8bvT3+Ib8lTPWvfgKeJOShwC1hubCBOaBwM1uqa279ufkt5uNpUixMvP3ueIwuedSaiwFd6GiOiW9SHBfAnqQgUUnOnTgzt5wPKU2ZMdOjwILtt4uTmQbS1RnZHUXOiBdgB3mkshrkcYiNftvCkp1D72ItAtZiR2/od5u7OYQ5Zg8llXzI43xeFFacMZvFacITu0abff3Quc0cBSU1gVNpy5Xzhz5yUJCnNdClc1BB3L7krDhwUZKoR01w/ruA+opGYt/ng4CyEGOwR92QpTDcXq1ohraXJ0JrbRKoJqra9BMWhs/lKojwaKKquvUMQ0Y2mCxg3SBNxcUAl7HHDZGna8w3yYwaScKSJh+uMOdGI0mm19r4H8FDmXoUZoIVgIYY4GOQ2MpnFYihGBbXuUO39VyKTaTwcJDdhezK0F5MXze/kpQXUOVb/FuPtwknIbl2tMTYUXhM5i33NN0ctwb2aAjve9L+qEBcpphhgCRkOLkz5BbC70GtKVmgV+9ReF1bPpCbdPG868Ppxp1LCbdnh81u4HzhjN8oENZ5QA9wNnbm9h8JdFGVCBzQCqdl4aHBrbyeRSSPl1Jb/XpgPh64ZKXG9N1cKFvEj74hxbyk8tN/vhDObt1r6VsC6FIbX1NJpKTw1WXaQ0jZLKraxPEclNTQTgj3a/xG/jOeaDrjFi1jUzzKbpCgDpWqaQzQaa9jUywMx4pY1BktTw43oRdCICNYo1R3dzCqciz6NqPyLELAKjQlDr+qIOe0phXKv0daB2sI9AORQCosKszkjOFx5Xptsn24zNtzwJp+OSJp8NZOjWgKrCb4nsSgdfYwQEsCiAzWyFjXx7mO2F95ffpjm8MG0483pxxi0Mf3T50b3AGbElExbecOYe4sydLAzB6eV3Hf8cjMy9ytx2I9dc8rmjkJdGwFqW+C3/ftQu17RHUBCYSceFuAhyqK7B+LWPdd2ehvKyrpenqm2Hlhx1HbcXAky7CTvZwVVUEkIXRp86qHtIWOgxqra32lXbDOGKooVXWNRqq3k2t2chz5afGmae0eeOZg5frdl+arLQsvbnZbS6Ubj2K8zJjHIxhDhnHwVZARViQTyloCImxCpo6a0MzGKx22OLk1at5DFgIYW9aKF7Rge4OtAVI7ZAT82zPukMgI19fFFRTb8yKViIiNW1pdulDWdeF840k9X7gjPuJ8XMG87cQ5y5vcJgNF1q5rTMM9yIh9aLlCowK2Ws5M/ij4X0NimgwxmqmCERptAXtc8FYAS0VcRyrdj/c1W4xritdZstz6+eoePMthHtLI8KpzJxY4DJApywaGS12Y6x7SbUUiHCYKto99Sq9l609kaQqQi7mw0h9px2pTVSb2UL9zq19Foe+UUKMHOMc96VUgclsCfSBujm7E/jQjCAGRquVQVa0Lvtg2ZWejHb2mOLwoIu8S6pgFPHMU2aaromnQFZoBgRjcxJwiCZhlnoSzhkS8u04czYiFeNM0S4aIz9vcGZ7OuGM/cPZ+5kYVhu60ndrAYzWUvNnj4OMvFC8SsEqXrxEXi4fZJFt9BAo7qddpyWCIwxgcGkccEa0pzjQnxsIqXQDGnZFnuxks8iSgfrlipaXNNnqVBQ//3u/n18oz0B96b7j+2QGDGZ6AI0EXAjUNHMe1drgO7D9qa7UFrDrR8a9ISKUKuQNjvOldpOBVUaJtFZgMZ/n0KAmwkwtQkh4SF2iem5t93GwKQoGN/65VpybIuy5ouVYWoLPAxrOCJ5eFYhmwkh/0C6J9rNtiQAWpq2K4BjuUZeIgcObKRwom0jiLAdTdu8sfBZa3jBO38M8mJ53KQ6vLEenpqx4czrwxkC4btn7+PpTu4HzpiFYsOZykb3B2durzBMpe1RT23ScYWVST1gRWV9Wc+9+ryWoMSHFEL7F3MUQWO0XcNkSja6JBWpgUSdR0QY3VaYmjAaEbp0O+M9F+GMtDkYcDFbaWxdmKo0CZyRYEy/XP+cJmGcIjUx0dQwUQOJxnnftY65zXrk7jSptj9N2E+MeZpwc2g40AHSeWAZk184P+tyYBu0/zZNqs3vJov7rhr9Bc5x3s/1VLumsd4n0/bbNIGogSayQ2WqEVXyl5s1vRFiwWEEFkGyjroKcciDXxMdm9zalALNdl/j3QPSBTMDzATGBBAws5vtCkg47V1ofLAr0NoToMoXJnQ8o4vS+iAd+90OwgSJw3CgvEdNY/Crpxbo9JvmxS+4L3PacOa14oxA5eG+4MyObzD1CReXFxvO1PG6JzhzRx8GDBxHqzf819KYdzsNZshtKjYNF2HBK9wAt6wlVMTlKES7nWnro4sVpFxLlGR8L2b0uB2vubCEwFiVaXeUfMrWnNYoc4YZ06JvemQrRd+ZNLjT1EyYG8fJb1NrkK5ApYqk9m90MkpNXoXY47yrJWG3m/Q4692EC7nA5XwBmsY1RV1jVG3fZxBHTCjxjyYuwlNeDDLk19R9GAJEHS9VgLuVwVAw0ONlyf4AeEhVL9a1a6d6oFwZhWE/s4/ZCDMxptFYmxcL0kFUyPZNUxxVq9l9FjwC/TrZHqjqsOHMa8GZaGtJXyTO7OdrTDcTzi/ON5xBGdN7gjN3Ot56qILyY8j3uUyopyGBFpoW4AKzrEeJn5649hyNTBCmopV6VWgFGmPd9hdTLUPLp1qo11yFeNGqWLOUMDxGP/zaMn337Bf4evsEjgrUyJRR3QrFbYpT43ju6JOtKe4ZvN+Du2RbtQkaOqQIMkjXBtHcgciWHCabbUyTXts1POJHuJqvNC8A91T2TtcQsMkeqfXXwCPjOqLeY5MJN91VEXEToXsv+wZPv+9ORyzmeASxfdFZh25bWhmbVSk6zcN1PN2nIzCaBGDSGRnrbBIWZIVFQOw1EnK7XiL+cr/955Gk3/S04Qyi/NeBM7DnvJ1fNM6cXX+G3fMJl1eXG87cQ5y5u4UBGKXDG4YXC3HVquvVVI3Hy6am2U/XxutvXzs0ZvBnnTkgxbTn/1Iq37ZWVpM+48zCQcjEhTqApblRkECkrD0WU5ADwTAjiNlCXdMs64FZAQh6Ahs1zd9aUw9lEXCbsJtUqN0ByXvu2jiQghxrn0WgfW2RTLARJ8rp3znrEdc+I5ISiMTJKxBIqNnp7StGFxdtPwxG4p7m64XYZfhNaO26aE/EZhjVlNhNYFyoff84nCQu00ObsbiY91aTS23pn/cLYvS1qJidyAKq3P3llrEIHnDacGZs7ivAmUUFXzjO7Hd7tAacn51hw5n7hzO3tzDUQhemMmA5M/Br+e9aniXtavaldq3V6pBRyVsdf3Kwi1ZVTIIUbXBmppETYF6oljvAwOsBm6CWPpnwiYhFHnNhduZFvGRNvbO21loM6OLeSB2ibDcEKmy68RZNgEYNMqky6SfzEWUfne7NGEudpA1UzGTo8fZztkO5tZyA1ic09nVDp1m2tM6uBBL7iXXnlc0BZBTiCIZSv5c2eOUebU2p1SKPwDyWJR2S4s/qFvG90ILknjUBaeVqMISPQOmZDHy5fIEwgGaC7KcF5qxxRUpWZOkhpw1nXi/ODFx+H3Bm0r7pORgbztSc0Ql8cThzZwuDr8mNBq6VhnyextHRF6R4+rfUnGvuMMAJjHgp4C6wwdLVxCW5PukmRtdG3ZGGmve5CqW1zgQ7ZwSULSRfr8y+5FA66Ix9O6XtRZ+t+Lq32gOoEPJwFrKgHkAL7X8CmVKvAs7eFxdspHFPzBnH29VEnwltHUXoghYI2qXQVi1f6SWSJYiY5zFKHtPqEQKQsiMBDmoKnIWG0+E8gIp/T6H3UXPAeklaMllpgw/EINRlWJkl/oiqQDv/Silf6f4wFyBOpw1nvAXWugeCM+qboKO+4Yy36/7gzOezMCA17oGv7yq8VB8bWX6ZXkp4y+Szg+OnUsDcC3XVeXSY5avdi7uYxJjn9EKQEiT02NXUU232ANfysWoCWuEZXMuELg27ZSNd6ExwHZwIvvZI4SBEIdTqnNTQtBuUYxeiW4Q5rtu05wDCgXdl/bAhbYIoQuKCKeZJnL9d84+RsTB5YjTJoTKvYmmIrU122x2O/HsHlTPobTuTWIjWyONtrODj9QBrW/BiNEIrX/LR+KJBlCPjZQcyZnDwiwG8qEUWyJfQMj3EZYkNZ14vzpxMXxDOADsQbjQ+w4Yz5ff9wJk7nlaZbV0tfmnaO5lx+ZgxUGhPNuBW3mpfUjUsaJIZR4cksrjumY6LlKNvoakp7XWjLZEdGJL5Y03QY8GX+8u1yDpDIBeglRb94PAezhvjd3afRps8DC3B1vwsRGsEbSkb2KtgURcICyZSBxmx9UJxJiVrV42b79o3BH81v4kfzu/BwteZwlq18wQ/1/x9DF1o6vi4OHtE2RQwMwuWEKxS88loFlSBzTPo3aHJZwY+N/Wy8s1xmxeDC2zJeSTUpW+LGUCN8mfnxiQ/xeeJmmnJxw8nbTiD14ozcangxheJM0/mGV+j/5wt3XCm5PviceZuCkNpqwDpgCknCPMyrUVK2VDiuwz4kIe2vHzIGcbW8PT0MMZEutVFl/Vs3y78qFRjfPHvul7mbVBzmNVsAula8BJcALKlS1trJAKYDTT0J7UGOqG9xSW2HyukOmCHjimsDALzgoVt+Sp9qoUqWRhibfQWdzeheqYIqzoaMGtK4VwAHenRsmq6s/vOvCR2iIy2UVmnQcgOmvET7rK1BnCu8cMC3lD0uZtA6FgT2MpwwZ5NljwPKNcro/zoaysiSpEn+7h8W9XBqU9SCLefrke291mE0dnqbZKOUa0I8hChSOL5h2hZ8LThzBeBM9OGM9hw5jbpbqdVhuRl3Wu6EOB6rUr4WqPCbDQQyzRVBwj4Z11VzCsk6mXcoKE7W5RDGIm/aJtrypT1DiYjQbTd11BjbYh8fRIYQqi5WSk6QHEtgIhoyGcsHPSoswQiwvdvvoY9Mb5lVoZjGiK0WG2OlDGh4fQ9Tx0FdRkBQmQkiy1B4vkJN9zMRGdiLWUN0jV8C4nKQSvo4TVwQU56FjKXyGn+Z5q6xr0B4M5E+qwGT9Hx76CMvoZ0RPJALACBaTkDWTMNImiu7VzyzuprKkqUeDZzi0CjwBGDerdxbpiqIFMdIwNdF+LTVX7p04Yzrw9nAOD7N+/hsj+6FzjjykD4JWw4EyXeB5y502mVtVsv00t84LBgzqN84oTzF2WtK4Uoa1ZNk+B7as3jmAQoh5IkdtizpNDiWr+GILVY5KxCIFzqEv+edbuMFoSJOBpElFMXNq3btNOcGUi0o9KpekTXNUsi4ICGGYRd9EM/tFoJzZoLolIV4tIfL9cjjAigIW6JIlzrgIME/MX8Fr5/8w5EXGtnVKpA/AogwhbQROx77eMIxdkk2zYlLvAWAMUOwfG47XGErK8tkgmx5FpiPAuKY2l1cBJ3q6ZPlaDAwKfkDUz7NTDejevGWfp6KaAdB8ZANfqY3aCAtr8YSnk58314acOZ14sznu4LznwHv9CXNPcNZ+4hzny+OAx3Sa7prlxPBcu1YCxGOUU6FWzXxRGEY7F1vfKy9ScGuTMu8hmCHqeqGUjccchNTJp5ABGpgud5PP63hJfqOKOguJ6HiCQ9FHRs8HyW4CY/AX5w8x72JPjW9MkRPcSkmMWj0qHMUrLZwSrk9LPv0P3gGhffTZ5WCBE6EW5YTbAAYgvTOExKFxaOWYEzo0BNZE6fMqxajOSan2vsLogqwLaGyEAXBoudP0+5fugzAQ/h6n0bNHzvflWoV98tVahOv3yGYq1Qij7X2YB7MKfHtqxJ6UL7T3l4qGrD50gbznxunAHuD86k1WDDmaHYe4Izr15hAFL7BBDmMsBlY8xq/1Tl+qi4EGWEIDfjZBciCtuXRH6Cee5KPt/sDldt7KXdcGYltMYhmEshFGlFOP05n5mkRplBWEZlwa8dmDA3YIJ7QvtA579uOi3NC2el6kjmZ8NLEFeF2aO7FcjEX/a38b2bdxEgFsKYNBKouVZQhB223mgHs6Sh1416iHZnUTFCyvBEBhzm/Wz7nN3pqNsjOgOgECIf1SiTKBBchZwwmnhr/dZ/nynUtsbXse/kYz/0q3It2fPlpSN6mE9mOTYZLum8pVukDWfujDN5737gTCgKsuFM7ft9wZnPpTCc0kdinWylAUkHObrmX1RbukMjfP1ukZqZDBe1qAAJBanTmYTinDsiN/mc6ID/NMZXc5DPOKpGn4KZ+6eNryjbR0S+i2oFCLTS7998FRMY39p9bKYoG+zyEncnKJQ/NRlm+8URkkr57gXNxsCm/TM13HQyJ5pj4PVz5jnaYPHVgQwly+ZA5A8GmAXFoN45Md1w6iG0YftUDV+yTvLrCtPaAjP/ehlOJL9n14f108xSNO0y2MO4rwuW969yts/k/L6IhqtFIz0uGKyH6QwFSaHOw3V89LThzGvCGei1+4AzISsxOdlwJq9+8Tjzuc6S8PKD7LKeV1A0roX4L4U4fgpCCzrdDxNEdxMWrq3LjzpIwflWcLnuq32TH2piZ5unNrYCTMFo5X4VQjId0A5QkSK4RDxo/x6xDTbg6dhiDCLAgdVkNpExBuf9hjJjEYwCjTI+5KORmq/mzbmU3iX8bH4T37v5CnKH8UgFhjsaGZP6LuiupsVwWnLvbM08kInKjxAzoZjdQDyKmvUZ7nBkMwEfRqI61AjN38EeBrpeU+D/umDmnVH/r0w1vKwkZzGOI8H11j8F/A6Qel9TzECz7VQ7MXbowaQNZ5btfLU449X6rP2Lxhn38udYBt1wJjN/8ThzZ4WBxovH4hn8JHlt7dmVNFhPojjV64RUO4fooDRKaKGWGuuyOVGet4tG4CHTFuPxJpgEALExihwRtK6fRTWEcQ+2aLQz0RiewVC6voiwVvkwOphoONViCrXKv3f4Ghoxfnf3iT2VeXwLVE0WMgEQpLMQzCw4KNoCYQK17GYH4SBIcPA+B/CkAxLgB72o8MIcuhwMXYsPDrfOp/EWAXLudcxGHynXJDiBxnvmzORhXcU7Dx8UYKBOVcYGcy1QiJ4fYT72ccKQUVIMy6fftVmNCXoXQDpjmibE6bPAgm8peP9l8vJlTBvO1Ha+epxR2Ul5/uJxhlWxCAVhw5n7hDN3UBiGahY3jTTOOYuHQqeU1LIJwDTsk01tMokigQ0ECWEjX58hQZuAqU3YTfpHkzsHAa7hxxATjHqibeYeQ+HRsCYQaDehNYC5oc8zuHewcK5fGTPXfvq9wdRnXz2AG0sHdT2hDgI7ulUgFlYVLGhgNGk4MhMJ8LwDNw2YoGXkmKjUBlj5MIj/0E/yNhHUEcvZ0mdCoibCn85v4IeHrwA0L4aZQhDU69wAjV3Ll9wHDEqEg/Y1OcFFybc36SgwATKZQsIp0ExAF3VQmiFgX2e0frE2zkYvxNnGwAWJAjCUAFXgHJiriXj5ipLhmQrDOZXR/fj+KBt9iAFpQJOmHvLNSWftEovcRwRiK9lE4KEpDRvOvF6c8d1P3SMqfsE44+dBsPCGM3H//uDM7X0YyB1WMvEii2CZ3Oylph0a8uR6kP4CPOxlCH4EPDEm1KPBTJAl5HJqhN1uwn63w9Qa0Hz9SErZL+ha6YB/b9QAEjA1tGabi8yXZnSqOU7eA5YskKDnMQgEQgxiAjcFB93bTQA1MAhTQzi5RBuJ8L2br4Ih+L3dJ9i5eVSMkuyCVZpWBdpB0IWI7eXfEOuKIOCnhzd1GyU4ZwjZCGRAFok/Fg7QWFsfpYUA2OrtQP0YdTHBJsqY7V6W+H3T9IUsFr3OAKjkQ7S9LRhgnRscVEBVmOsjxsdrt2D1GBiQE9tyaLsN5BrKZwKXAOmSbW+sNGk+oLThzGvFGX85+06oLxpnfJvkzK7AbDgzlvbF4swdzpJYaP2FSYcxWQxaVaRCaKWw1KK1oZsRhelNzXlKCHBG/BI0tNaw2+9xfnaGs/0e5NJWvHD8v6r4IUzsMjRbRIeEbf2nTQ1ig8SA7X2GCbQLDi34Q6IswyNAdK+vw1aYXplBrYGZ1APbHKxamP+9bQRCw/effxXTWcfv7j5K1s0FuPyrTSEECEesFyr5vRhquOm6B3otLYvWixwXBUUInBlzRKPvdX3TZx0u3LE9qtAZLgRB84T6WycXaiD57YSkHF/2V9D4KlpLblqOfov3B2AyUG4NrZhdg66laFr8fihpw5nXizPCqkj03u8FznBnCDPmw2G8seHMkL4onPkch09lp0J/c4cSWal76Pv6ANShVhG3dSyIfndtUQQQVi0UwG6v56efn53j4uIMu2kCeAbPbuJK8+JKh0CQlZm8fjYAbARXoW5opN9vS+AwJ9qWnySFD7Ku82lYV4ClocmkYBXOS4i1Twelg7iZzDVuACzj4EsBklKlm0yFxusg4Kfzm/jB4SuwOG0JVNoZ5LpceXQhCFTWEE9736ZmC+gabPGtSuZ24TVe8I5l2wg6dalmyDreDiZABG5xoi6/H/XjlDDfLoVXubfZQYgR59hzY112bta2xcty7MvDSBvOvGacEeNF7vcCZ7oty8xzLlNsOHM6vW6cudu2yoEAWJHIaez9ci9pPOgXnbtMqFwjT5VvqK7KUGsNZ/s9Li7OcXlxgbOzPRoB/cCmTao/rb/ikl+XA+bggdDQva1kkdFaU85n01QbNXDjsjcWL6B4rkM6/KEbWzYKAfXtSiLQQ1uc/SxPI9KoKUL4/vW7EGb83vQRGoqDpBT6mQDopzO0xJjEyoK1qlPDdRfM3c2gKUQxgkuFgSpd3Rvb2rNch2tWqdgziWUxqD7iKbwYjLJre9cXoznSecizuioeAJs30xP88y4JlNXVUr+OBaMIcu+5mt6cCw1oBbnm+9DShjOvDWcgYgoD3wuc6cwQllFh2HBmNX0ROHOH0NApBKGFLSkjiN4PmiWRab/jI1TLso4qUY0BIfAQaeZvZ0eo7nBxcYarywtcXZ7j/GyP/dQg3cMWL4eu+spqPyhySNwg6FqV8xaZ4IIa2qS86OFgyZhyiGjmAluIn6YzRJ9iYNlaRrn9hZktnKzWw2yzjkYgbgE8/8f8Dng/4/d2Hx7ti/aKUxCpEJ+jPd4SpoY/m9/Cnxy+AmBeFOT5rIAioA4wSTc7boWq0LiAO5GLJJ+cGawlQpoVASqafP0cSvTyKfP6u6KUmuMRj9EqaNw1rcGOiJpdO2nc9+RJd0wDYNvffg1N+I1LG868XpxhETB3zPN8L3CGbatk77lcseHMi9PrxJnPd/hUSUVxS2b1megwUKmh6h5kZZYkMZcoYGL581NYQCzYTxMuzvd4dHWJN64ucH6+x85Oa7uRA0Q6RLTcVsugUHqNEbJu/Z2MItFewkQNYibCHak5jzpAbIZSse1EIqnFYV1LHSgZIOBaJgWDu/+C76FWK0MLofF0jRnXMmMSCWGWQBVE+0QQ+7WjdwVo/3x+Cz88vA1gsW7odDA5LHOkaK8QIuSrSlI0Qq8tZ4so/DJUU4DDNN9lPuepmNxQ7dHxe+XoqivW5dIpc+DfSZjrYzSUCh17BjNhxgw/NS/W0YnQmNUC6oD3wNKGM68PZ5gZvTMOh/le4Exsq+zphLnhzIn0BeDM5w4NvdbFwkNHI0GLnBSfysrNf5PoOlkT017ZtD0GgbCfJlyen+Pq8gKXF+fY7yaQqNmFuAPiu2hR/opWh3EWcNx+E5WiRlJr+hwDsa2GSLf+8LhDdkkc1+BqwBNlvnRE8Rtp5St6c1UY2ijI3+tfQd93/P70oYKS7U0udkD9MMGgqDlHRIhw6ILeiy+6m0/rRvJKDy/eN5v7nutTae1muRaCK24uLvnsO7tEANAQMkaLotWP5es/MkjtmEWHRHIm4rOkyi9++UQaxv0FqazEa38iMA1AXffi6zkDzZzegHb6wLsHkzacebU4I6LOh/M83wuc8UBRGeZ6wxkv8j7gzOdTGAaFPvWu5fan4ZHCTH4Sm5jQNSFMrYExo0HA6Ni1CdwZDMY8H7DfTTjfn+Hq6hxvvfEIj64ucb7foaFjPnTMh2sVZmE0r4fU79gdmUKwCWi2lYpS1Y+G+riS5OCKlUcAuOlSQeOmHqminr0wE5/54aIKZwQ9EY8gZjnENGV7Vow+BAMQAnpXgjdjZnfyaSD8h5u3cLM/4NvTB/pcSJmBQuHTUEMBUBMwGv7s8A5+dPhqPudkaMjDcUxbVlOgQIrgpkJDtt97StYo9HZzYYoKRf81FKzRCUkvZrGY7gLBVBpnswr701lbi/bkfcRMIR5cSHOdNVAja4+1MGhyx+WB48nO0XeIgHvHbAfugBt66+qBrwwKkVY2cT3AtOHMK8cZYS2z9/le4AwHnTaceWn6AnDmcx1vva5qYRBq/atbYWw1yPi2wYKYiEDkgPnQ0WhSIdO9PpB5BoGxa8DZfodHV+e4Oj/DbmogYfTDcz1dbJ4B7mh2kpkLnJKAy5D7sMsLOuE98MEsDFzuu0NSQxsnOcwQP53OnmcRtDioxATVCeEtsRnOUAuzaa52zdfWjMF8/vTD63fAO8a3dx8Gu7sQez4HTy+GAfxkNiE+6nvm81+xpop6tK9fI9tPXiqo370NQy1r9F9e876bl1gpYZlzuS/7uJwUzmoCDI38SMVPIQY+v09BlYjV3gWQaQQZZrZTB/Xpz1Hlb3TacOb14l2l8IIAACF8SURBVIy/TJlLW79gnAHpi3nDmdun14Uzt1cYFiUmzZJ4JOO9YZOKabiax4RJBBDWE7VEMJEaSlhm8KFreMtdw26/w+PLc7z5+BEu9up4hH7AzDOEZ2i4rq57jaVnsBXy+kQjXI3NHfqSTin1xjKfMmOzyHGN7MQzwcC4ofeLnjBHodN6oRKauT5cBRpZJhbMuWhPQ27z+WF/ByLAd/YfjSa+IsxeDwH4s/ld/Mnhq0EUB65U1cdqiSxi3EKQPXIY/H4rK7Yuz4U23gpaaNPigiLVZDoyst42YCDPUwSEaBC/oQPlggtzzkZTmKk8Lc6rNM52Ps+aY6zzljH1UpgZEII0Qe92dDHssCB6WOsSG868XpwBNA6Dm67X2vNaccb+/GCvDWfull41ztx5SULqlyOqmQYFyev+4gPCNBjkNqFrBA1cIjOkM7gfAOnYtYazXcOjq0s8fnSFRxfnenALdwjP4PkA2HqiO8s04wIXYgrN34UQxYQI/TcAqGis0S9jSIvkpXxPug4kotq/tBjcBhNgEJj1bDqyXoekel23YogkdJj9LLGV7TvI/+TwLhoB395/CLdARh0eScVaNDNsRkJBgtz6VbX00l4UAW4+C/CtWLaH2wSb8kf5LABD6pFu9khlcjefVvEUREjXvOStK59FOPIdk37q+n3Zn/yNAhDLvuehPSsvNNw+ndLjHaxF7AjdaYoQt9TuDhpfhrThDF4TztTX4RePM65IbDiDId0XnLnjLonk7Vp8aIaEUP9pyFRMd5LHibTQ+jUI53x9rYJHwDSRbme6usDV5QUeXV5gagCkA9whfTbnI1bnJYuF7oPVTIgh6tRBEmOdAuztWhuN0AKLAJKxuEhs74lDViS1amVwiTjx6pmt9bnAuGlLkmSuf3r1t04xJqQHunTx8CHKyFLAk0H4yeFd/On8VbM82j2yQgzhjmd2Vdv39Tzb7tQ0Rr0KR8uyQoiHYnCCn6Mvij9lBlCC3gSFTGKPiqp1rw/sUNuaQOe2fQdbKW04Njee7szobJaX5QjIWdQ7v+sqLgiC3e5uQPFlSRvOvD6cuUt6bThjbd9w5v7hzJ1CQzs7VA2qNjgFJUXF/yEBJjMHcVcBVOcPXUOc5xncb7CfGs7Pz3F5tsdbbz7G+cUZ9vs99jsCzx3CHeiq+TeL9151KrK1Gq+aKIVYGU+wxkkE83RdDH7wBdx/WgslIdW8ibTOsDtpheocw3YGvW6Zki6IbV2uZVNhVM647SPtqdD5eJWu3MZ/vHkXAuA7uw8GumjNwJ8e3sGfzu8iDaO5tzn43/4DcamjKAtEcZyuX/NZQQru4nto5un9TCuyUL28h+ve4gDV42cXer/1rjx7lDJvDnvOkIA6ExAb3tsK8dqPE89VgbZwud3zTmsPfHnThjOvG2dCDbsfOGP3N5y5nzhzJwuDC7MtpmnDpJKPjl54fr0RdA3QbFjSGfOsvqpNOhoJLi40OMrjqytcXJ7hzcePNfoZqfAHAAzn0ptwGMHFt/zEYK+Y101rJeDooJu0xxnD1sF2BjfNv8EjsTU0ZjPZwUxpDJEJHmbWPZPF47FrKC64pyygQsJOtCUjW5/U4ifZFjgfhM6M/3j9DlgE39l9EK1nAH86q8bvAzOYxWIQWwgf2Yl7aR60bUZViFsKMYHKHh1HhbrlqHasdnDsrBh9Weozqn3LOFqL545wOJsCYAj3hhEAg1MLA8e6Y6HT3YV4eVnHbnkKocuJ+rAx0IfGPai04czrwxkvJ9a7v2icaW5V2HDmpekLwJk7KAy28UJynVBQz31Ls4tvIQqaEjRWugnhJIzOB8yHGY0Y+/1eBfjRFc73e7xxdYn92Q6X5+fofAB3xtzV2QjC1l0VYJEO18ldQyPpaqqT5jwJ3XkKNdmd4AXV1VHWHe2qrRXmYJMpiJKmwta0ffoVzM20eoYeFaax6aVlebpdKt2EWtMZhTCnc05NA2ii6PX225xYiIAfHd6FCPDt3YcAqRD/ZH4HI+wifueMotw37Z1InZBUYbAnzUToZKFCnyxckkmtP2TtJhAagB7e4Rx9DP4R2NGt2a5VhZrGa8WqV943suhdkTcDbn3J5N2FNa8ksnsumi9KcvyLELMef7WYvRkpzKLnFT+4tOHM68QZgDCBsRedcYY/QtRJxzN0YcCOvf7pzdvYMePbe8WZP5vfwc8Ob2Ovp1AELjTSba26vVXPziB4pAMbOwA7xwwPYbzhzL3CmVsrDA1NBRE5IA2TKXcmyJZXt/j0NCtBA4/sRTDPN5gPBwh3NBFMDTjfT3h8dYE3H1/h6uIcF2dnenws26EZrE5GbGuJ6gnKIHToIeACMaejRoLWzDgkHSQUTNkEAEmG4wgmzLaPu3uNyKNYK2z4KDd7RgRMDlYAUbf1saZmUjR0dI3ZLqpVC9mMgDUePWgyrZfsvHfz3xVjQ6JgrrVVSKrsKoQfHd7Fjw7v2gyiBQCnI5FvU1LPY+8pCWKtkJrOSEavZSDOY/fZiZUXckfjDo8QZsjQ/gYXXP/D+FkgohFs/7xtrVqQQC9JvHBApLMFRdqBUuNnvb5EB1lkbfBd3tE9F2hxBUtfMpnG+wKVmeMx1PtsL0ku1T+UtOGM0+H14Ay3hv/u2Z/jv3v25y8YlTU+XU//V/ztiwd4mVaK+sGbvwuapg1n7iHO3N7CQOrg441wAntHYiZgSszevVnBeia6qCa1nybsADTaoTXCxW6Hx4+v8OjyHG88eoTz/R5TaxDu4D6jm/MRWPdK68xDNX+RnAHAX6yEcExKJkgt+TSrH99PzZDiZZu50qFELI/2MT/TdOXWgjT9kd3UfcsEd1KNAbQtwRqVS1DVfDKFYN11ybRXVyZtvAJsfXnBlQg3ATa9Vs+xCHNqEUgJ8KsUK/1ayleZAdRuyEIHJxPcKDec2ixncRK6TaoiaaiA5Nla9/IJt7MIsErf49LXaltt6gvbX2c1ARUPb0Viw5nXijP/j8f/EP/9o39g3ZIRU2R86Wbbo7fwSYw2rcXygv9udu0kzjTkAXtlUuJv7w1n7hfO3F5hEP1n1JlG78zQ0NDCPCcskK77mIU7GgHTfo/zsx3Oz/Z4dHGGR1eXuDw/w/l+h4kIzB3MM7jrMx6YRR2PUngp2uVtkWSU5B174Q7QE71IxgmWtOezryG+YQpd6IdObYJp9boOVvfVqnwTpGyNEjP9MUPXXaMerSBMkjCg9DPcQ/t8EaNlbyiE2qwILZ2IqAhpCHJTQSZQLBXGLKnQsQrvsvajiytJXLkpVHaTKDHK+C4AiyiExc27Lj4RsayMVQjJckBfkHxilwF1lEHSe7pA2S2DrbyYIsfiHxamh5Q2nNlwZsOZe4szt98lATXH+fcwwFH2EyxmkDHznTAkHIjUJDbtJlxenOPR5UXEaT/fTTjbT5A+Y+7qodwPBws00SGsa5K+v1rLd8ZnCNiCqLggjxp6wI6M5qu1Xsa3yJfXqld0lFm04KbhYKAngnFsdQJ8FmCSwIzWJp25sAbzlqij0g8QYyQCgSk9s7UFt1CFXQJBIbAEpMBSvV4+gSLEDgoUY061+Eq+AqwrkHfElmKdlkLfF6UGivXfTgIPKxMo43RRNFnXwuPCOPsY7+X6oQu19lf7tNbUIR9Ob147PW5rwvyw0oYzG85sOHN/ceb2CoNI0YIA9RhuxmT6W9VUDg9dPdGto4EwTQ3TtMflxTneeHSFR1cXuDw/x25q2JFYTHObIXQXVNv/LAzhboLq2j+7mhhbnijUff90J6IXEytM8Me9xmmypwYohTGarX4JUtsGZPgu1GxN0WZInCfQqRxrPrY+ia3JUZjPYE6RJxglNPJcXlhkKD9cLBDMX2k0CHoD0NxzGjA7J4LpK9miNwUIjVleJK9S8mr0ulNtpxwZyutumk3xzH6M7ZMo5Tild7FvbyKnTeBSmaksmzcIs7dinbsG6zPKy8JF7YGtSWw4s0wbzmw4c39w5g5LEio8g8esJHOFBidspkHT+InQdhN2uwmPzs9xdXmuXspnelxsA6PPHdwPGiAFqg3r4S7m8SvdAoTkuqIL8fhZOi5V9zTtORg1afcyi1Zl0PWVKYFLsjuYkM8BLJCL739uTdsqogLKUDMhkcb1ru1iYTQ7lCYOlCHYiWu2xko+LqfbXgVx6P1iZjP0hxIMltl9duD9pQU9K6+vQWOtxj88znlOGmS4P7a0PIxWwKSCj7fUXIeiTVIJAIrnjtsajlWl77p2nfQ6OVMZhPm47LWU69CoBHxo+sKGM9hwxmmw4cz9w5k7KAwZO92TOweBVYAJAPMB6B2AoBHhbL/D5eUFri7P8cbVFS7OznB2tlddk2ewRVPjftAAKVaXmwPJhbiJbQPq8HW1dBhxYUZ81kESVCodJ7fgVQKOnrcmwFXzNhW2mo7SjKZMRSbjrv8pc3hFbKY4M67WtcUGCwNr/bEj1qgBwrY+CTt9DK0wVM4GfO9yPcTF91irw5iMQl60+3R6rPcrMLgYWF/IG/dyhvXkXaucSsD4olhJCugtNHo2Qc32IX8MZS0LXhFgyl8uWIMgrfLI7dYVh3RU8Ilks74HlTac2XBmw5l7izN3tDA4I3t3dRsTuEOE1XkIeuxraw3n+x2uri7w5ptv4o1HV7i6OMN+2oGI0OcbdDshjZq5yTCZ2Q9qOpQ0BwJAC62/aHLlo9xY6wBeqoHR0qCjzLpWJAEZdQ3ONzSsbeo4j163SzeaKlCRx7J48a0ZkIjW4UejsglzPlq1XxXiVgQx+nS0pojMQ/QSOlU6GmCZlny8kpfC8nkOUnlpIgZhKk0K5FQhGGYEhVeMYMlDBs0n2WchwSv3fQxEXsSD8Ewv69k4C3pIacOZxZ0NZzacyftfNM7cXmHgbuEkc3BIBNz1yFfVx4D9bsKlafcXl+d4/PgKbzx+jMuLC4vC1u2EuFnBgbtq+iIWoU2di0C6dQrNGFiMaYKoOUxV6fe2jSQZGUy14qblF5WfUEEKQ36Ue+4tS/adTOIalI+aRV5TM6fmFTP5uXRqmQ3TRCASTNME9jPLyftkrGZdYIvN4uU1oahHGVd3dzfTzutshyi3LXmf/FCXmLHYd9/mRNR0dkK29SlIW9XfgVBLC6S1P7VjN4mazlzaUsvNtV4Sp3QWmZ9ULhjqqW02wNPDw6wDTBXycdxPWgGtLimZdEhfIOwp5csbcas5QOu0dW1e8jDShjMbzgRpN5y5bzhz++OteQYfDgAERM00fRXA/TRhv59wfrbHfqcOR48eXeLq6hKXlxfY7yZlCGdUcTNgBkeJtUvzRJbCyNqhyjzH2tUpDT3JsRwoXSfKq7eYGZwo+VS9aZ4zZrU+pXxRaPYaUKnpOeXkwusMLBamNfR6AzdSsGAa+tKag88oyMNaINXY7HkvhTiZjI7I4kJd1xn9njvejN67gwAsCPgy3TapABsmc6DSzfA29q7ZSwp2pOVspdwXn2a9iANOCygBMftaFf7yoniRifCUp/MrmC/d67ThzOmSN5zZcOaLxpnbKwyHA+b5Btw7hC1wCgj7fcPl+Q5Xl5d4/PgK+/0ZHl9d4upKBZiI0Lljvr4BzzNEuq5FsoZahQjIwrAKXHkTU/cB8Mo+ZfcCDp3Q1xmTqU6JpM8iwjQXA+91rHuaHqXloNiAuXFRhrGze+Tc4lG4XJG2mQFznPMuKN7JomuSVPoZswEhO8u8Co0L49heQjFJFk1/nA34p88ekjKaitPUihCPmvQIc3WMbpsqQIcJNWUv5nUDy7vEHyGQnPgpAZqnLXPjjQoeS8et7Hb1erbeF3C/Vbr7u+U3Om04s0gbzmw4c49w5g4WBjOQdUbvHW0/4eJcj4N94/EjPLq6xKNHlzg/2+Pi7By73QThjsP1cxzmAzprjHZS7vOeQs+TN4E2U6GPTmWDMMUM8uPXbE0vnIVepI97eWLjpyZPZ4ZxUJbScPsU620qqcjAKrZ9prZFH1B4Eugeaxd4ge2RFmNee94uqVOXl0YpPxiFNBX+qv1nnijBpNeF2AEhNf2kzfi99IhG+h8pvOX2HVgacIA0GgoxNGBuBRCroq7pVrCmMa+2S8212bjTKXiLgON14+X3hBrnM+C0MK9p/69kTfYepw1n7pY2nNlw5nXizJ0UhgnAtJ/QLs5weX6Gx1eP8PjRFd54/AgXFkHNPWPn+Rp9PqDPs8Y1546dxwXXFio9WMJ8SNFo3dZ03AmC+6+GuZCcqALifP5FA+Kav46va2Tlvmv/ND4DHGt5NHCplUaur47CrOXoml6tLfZ6mwBkfDXVHDU8NGyrkzOCRaWD03RBq6KVDzOZat5zdqM1LdmF3IUYw2wgzoqzvlS6LHXkAG37x61zEKffUdUvTMoFmnqsxVKhAxn4UQgulVli5ElmzJnaUU1rDdBOkNfrpVDyA5Uje6Na/xr897CUgdukDWc2nNlwxi/fP5y5tcLAfcZu13BxdYk3rh7j6uoCVxeXuLq8xNXFOc72EwAGH2bMN9fgftB1LykBT2Dq6vDHFpPdTWNSYrSPKdghCFg5AgUkqlntdAoHJwu5eWTy+RxpfdbhwkPHWnARpnBYAlsfADUxCXwNzZlO1xWhdQmQQVFKBW76Kwx5rKEvBD20fp8RyJEQ+9rhsP5Yek3lQprTBHJKME4kx+pGCmTdZRau8Xv/R9BNvtBoeFILxFq+U+kYkoK+QUcp9ylAali1ljHflk6nDWdulzac2XDmi8CZWysMj68ehTfym4/fwPnFGS7suNhdI0AY3DVSmgdUEakhXgGJ0K2p7QZto7M24OLaGIXAjUQ3YoqGRFVN3bW6Wt5SQF0DX+xtprz74qE9zrGqxRXtX+uLG0dKth/YkoFWPH+Ge/VguDBwFFm2sjKOg4MJXNyjY7Ba/GwqtXG4zzLRcgz82jFCFWCVxRMvTySn6DzOHDKLZOFH95aNKnkdCLBggmzI+KwMHVsB/0KTE/3erAun04Yzfn/DmUwbztwXnLm1wvBbX3tX1w4tLvtEhP3UsN9N4D7jMF+D5xtABI0Y1Gx7joiGv5gaqLt2n17M4rOB0NRthgBgIPhqx93BpwhwSdXct8aU6Xjka1VhPEP1FQbKRAPlcmHewVMZo+du1k9DN4hUI85umpBzs3Wz5rBmwsnQiCcCdrOo1AqOhdvXEjPbEYosnihavpcYmqyAykmYFCBBa+Qv7F6SIEaZQ6hsnib+nFNfsu1i8wZ3GgIbWOo+8wA20jwx03BTos2mhvYF3VXqq8x6LbUPmXelX36FShsDUHxr3gLsCv/I4vdDTRvOlCo2nNlwZtkvv/IF4cytFYavf+0dtKlhahP2TTVDSMfh5gbo3RyKukUL033UU3RMNCqbSJgF9TAXgem58CNkPTtCc08CKzFccFA6vfLpa46WOVjOlTspTEKmfZOalULoBiZPUMhUtMVSdgt70QqDD5qq2JnkktHtSLcrMRQJ2cqJSY7RRMO/jsLrUdyo0dHMQDX5Fc1/0T6yxcQGAnxPdDQ8T+5rdla8tqCwfWtDeb7fW0xoutMFDdQEnQVMKphumvTSGjm8+xUds8F3XRi94jhZ+c1oY2ufbq6rUK3s6XunjwFNG075m15kfqbF12zz8qQ8bydhQX6RZTMeXNpwZsOZDWfuL87cYUniPNacVA0SdD6EaVC1Qt3jrEJiTCWu2aaGv/5XkkuuaU2BB9njzFoeCx3qFmEuV2cCZj5k5DAc1zKUsv6rgMXy0QQSLZ/MvFlbrCwqFpzFrxWAkfUtWVN1clqYo1zk2uK5oxnK8O8opiha/51SVLF8sMJEA9BjoH09sc4ufNaRLVYea9B1R8QvuzVVrnHg819LCtoL4qiN+dyKOL44rWV8qXb/sDWGDWdWS1n/teHMmDacyfSKcObWCsN+mjD3DqBDWCOvMWv0tVOCuSbE8X1h3qNbk+cF+SoAfM6kWrh6vzrjLJkgqju1TmddI1qaDNP0RGQzC3ecMmek6rjimjrbmmO139W1ylq/t0kE2v6jewvwWV9ATA0aR4+UZ43xj8yNRVN3GhTNO9vuJkHN3xxEKctppLOYMOMWRzMJsyHK52iW819Bt9ohH14f35N8YyVLPlM54kVzATdHnsxTAXdbkthwZsOZlf5vOFPrP6IPXh/O3H5bpXT0w3NrEtvalh3/CgE8Hru4l3LZruTMKeN1WQzBSq3l+xo3yYnvf7dUhRly7DwEpAAc76fGIJhrGnrmbqHhw9YOh2eIQNTQmM1saSzhbZLjXg9bmRZNO27vqXad1vCr8C6F2GcmQQpbM1TzY3K0Y6MKsYqanz8fq4U10D0IJM0sblmOGO3q6yB/jKC4lFOnkjuXxfa0EPXSeX+wnph4xzTO+BIM9J6Db4L1y0fpy5k2nBnThjMbztwlvWqcubXCMN88gwttA0DNHYt0XdCdjJzKEtR2YXbN1rUoW0uM9bdjB56Xp7vnFznNzC7AAIoQH2v9a0LsntDKMG7gWrbveBuXCzFBwGhojctgq+YvFv8d/tsA82iXT22TJEt6WSFBL02C6pDkrcl/RyGPKmsG+x7CXJ/3WYAsCqGG1sQi/PkMocE5y4yJcP7y9UGvLL3FDRoEALGviC4098xLlj+CrRyh4/pPWf72fg0zJopQvSG+myXhZNpwJtOGMxvORDfq7y8QZ+5w+BQXkpqJR8yZyNYSwyPZTYFF43ehV2EqIvuyDsnRF9yOGY8LOhLJag7zplZwsYEdrHQv0pxTYbfiRq24Ogh5UJQQeCKNgU+tkMSch0QwFScfd5JabpkZfpE7cZF1c2S/VQoWk9ULNc8kRs4ESumjJpvCrK2xXFJFSM2hHkiGATQyYAOpY5E0zWPSKAT0KAcAuenQNHnFYWNBSZARWLz8BeJUQRv08iWNRjLclhPD9aiYBl9Qy8NNG87YIxvObDiTZLgvOHNrhaGRgHmGoJsCK0FAhOexmw3lSON3AXYBX5IxOiVZhOdbrs/dPdVnXsii1uQUZmVML+P0sxGGdUUj1u8UN+vMwc1DItDjYKuWau0lKyznDTJ8rHaztoXKd/+yAqAS7VsRyNKWpfAOVS5mQ3ULGCBlixHsBaBJD8LxUCkqqBN5m1oAE7mQip/KN3bT3LgMEkyaKbdMaefIFPziaBXj27A21oNjV5R3S2F8QaZ6a1MgNpzZcCbbsuHM/cOZ2/swzNd6YImwbdExGYaHWi3mQYIKt+/pdYkAH/FP8FiO7rLmE9fX8qzlpxzPIY8HKElt7EVaffBAyXcqjGtN41pfYXL/N8oEYlsMucONyVuUYabOBSB4YuHsdQWR0LEdEmXVDFjpSOOgnOhbEegXzYiWzzlAQp2smoN8aYOKk5Y5GUJGfSyYTOgZdvyufQ9+GhzTHGQpzIXOj3B/7mFm9JK+SCmvFneXVMyFUfO2VLHhzIYzK33bcOa+4MztlyREIF2PnQ2jFUH3QKPUb9xHpIyVswAJrfGosfGs53EGL0yOQmIZtb3aRgBj8JNBr6rZqrYHuHlsXBdakkDik4K5Bok5Eq5kdIDQFvzOgwYtq9u0qOQ2YZXK+NYuyTPgazv8Xpa2UsfpLuv1lndaFSg3FXpdcO4o68hD3bqvXowWLICwQJoAO0Kz712ALoSJCIJJQ7WKbr2nRqDWdBsYEw7zDIevibImB60ONSGS0YJ007W3RltNU7STnH5ODallDheUHmZuzslRFUYHb9EAOUKDF7ocyY6cHIMHkzac2XAGG87cV5y5vcIAhruCZJJRYNy+t7guK044ayk6cSvl5w4a0h200tWaVmYFZTyO8mqVawI+DtRRD1bbOWqDbn6rAKBbp0oejIxyMi3rcyZcgtFixrIU4uXa4sD0L1CLXbBZYB7L2uYmiJkaQ2wtVU2EjQQsCoFibZ5zzgnnNzcx+ktHvHuwLVAiABhEOpulGiM/euAvlPIykZEWd06bFeElacOZ8dqGMxvOfI70inDmDhaG2b8c3woNT4WZRIw4StQWJPYtRPpcGrCWRee+2jU+oOVFG/SBPi8gWDXfkWluR4NSJgXex5dtFaoyEPmXzD7I9xitrGrl1bvWrzaJ+ZOVUwBypasSzy6ItfrdL9HR14E6SwFe0KRRDeQyBnWJKhcDThYtz86jAzc3BVI8ZMMEYTWjEgBpBKIJjQXMjC4p0FqyCrQCAnxSaqxKpQU5C3TNvwaeEYoaYw1UgSHHJ9YbT6DW+rxhLeMDVyg2nNlwxi5uOHP/cOb2PgyDNm91esPE7+ufb2WKM+ethPFB++12vaO2V4E/7tiRMGOFBitmu3QEOtnV43a4Jn1LYT5ZvgnBWPaJ9rqGKckkAqj22ww8S7vWGSAIiMWXY6V/5RsWtFquk4bJsNSW0FJYdzFWMXaWpZnwQoAmpN7OIiGwDaKmQwDSgFlgjkkNkwBzE/QOELOaHyU1fIFmVmEmsDGsavDm4EQaJ54IaKQhXGmFZnGy3+Je7c4Rp556E9nsTb3lb/8S+rKnDWc2nNlw5v7izO2Pt451j9ox+5BSb/0hKoTjaXJkzxXWiXJcExwJdFRhPEgrlDtBu7VcRetfFdBgtoXQLPIvPVtvm055AOtNrVMiL4wZJUOXroHkUQe8XVnOi5T/hYXz6BpsfXTVCcmEpDIo1rT/o+o9nruDkrdcR1IsgIwQ4CcSMxE6dDZEDgBoYNZ946HpG+FcK2dJfqu1kK0vNkdLODgamwyP0PLryHNBk0E6MbpuL+jguP0w9YRIG85sOKNpw5n7iDN38GGQUsk4eCG37NuecvDUZGjPD6axha50UmmlIFgSc8GgC61yzTo1/F4wqwYPub0A1kaq0n3i2dLF4z25g/J71Lg4CIdSmAUeqYxLOFnvBVYFZjT3CeoQrLW7HU0Jxt/kZa322cXlBLras2MzZcgSIlCBMvapE9hAZLZZQax2m8OUezRrbzVqmwZiMRO21bgG9IrrYq3U+gQrmUtbo6z68nkRcDl/LrT/LDVfFC8q58ubNpw5ThvOjGnDmS8KZ+6gMBynQfMsdUr5tw3X7LiVqhiRXV7VzWmVKYIpY8pQyep5VgZrwX93E92l2K2IoY86lSAsJ4T4pSkaah6vyD4116xdgMk/S9CVMCVW0BtbsdamRu3o2qJhd+rGbRIBIRHpee4Cpd+dpwgMkDoseeAVsZkDmtKmG15JywAtHuUODWAzRQZVqaGuA9c+DhRcMFSIXwHbZc987G4rkrT2JnrgacOZDWd+HWnDmfLE58QZkoc5jdnSlra0pS1taUt3SC9T87a0pS1taUtb2tKWNoVhS1va0pa2tKUtvTxtCsOWtrSlLW1pS1t6adoUhi1taUtb2tKWtvTStCkMW9rSlra0pS1t6aVpUxi2tKUtbWlLW9rSS9OmMGxpS1va0pa2tKWXpk1h2NKWtrSlLW1pSy9Nm8KwpS1taUtb2tKWXpr+/ySkmSxCGGPGAAAAAElFTkSuQmCC\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "e6c57683"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "IALy8WWQmm5f"
+ },
+ "id": "8f52f2c0"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMElementWiseExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "UHVPhGsCmpmq",
+ "outputId": "470b22aa-a784-4657-b837-82d22fd94378"
+ },
+ "execution_count": 26,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "2d17c684"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## LayerCam\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "T9T9pAv3iuZX"
+ },
+ "id": "28f61f9a"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Spatially weight the activations by positive gradients. Works better especially in lower layers"
+ ],
+ "metadata": {
+ "id": "LnYa1_wkmPx1"
+ },
+ "id": "552b6546"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import LayerCAMExplainer"
+ ],
+ "metadata": {
+ "id": "YtSp-4SZmJZo"
+ },
+ "execution_count": 28,
+ "outputs": [],
+ "id": "78e01e82"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "xQgGzdwnmcsB"
+ },
+ "id": "2d415fb9"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = LayerCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "xfZf465omi5M",
+ "outputId": "19500630-b889-4d0d-ffe6-aa6a660521d4"
+ },
+ "execution_count": 34,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "83655163"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-GCVIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "EKKc18cYmny5"
+ },
+ "id": "fe0883d9"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = LayerCAMExplainer(\n",
+ " model_name = \"ms_eff_gcvit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "4bAnK0_ZmqlR",
+ "outputId": "4a247bce-b2ff-4b79-a53a-cee30c05502f"
+ },
+ "execution_count": 35,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "3e32579e"
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "l8NCX5XoxT1Q"
+ },
+ "execution_count": null,
+ "outputs": [],
+ "id": "84993716"
+ }
+ ]
+}
diff --git a/tutorials/ms_eff_vit_high_level.ipynb b/tutorials/ms_eff_vit_high_level.ipynb
new file mode 100644
index 0000000..68dd3fa
--- /dev/null
+++ b/tutorials/ms_eff_vit_high_level.ipynb
@@ -0,0 +1,643 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "G4"
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NqILQnqgiI2m",
+ "outputId": "872620d0-8ffe-4dbf-be19-7ac204e38bb9"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Cloning into 'DeepGuard'...\n",
+ "remote: Enumerating objects: 3257, done.\u001b[K\n",
+ "remote: Counting objects: 100% (725/725), done.\u001b[K\n",
+ "remote: Compressing objects: 100% (283/283), done.\u001b[K\n",
+ "remote: Total 3257 (delta 547), reused 517 (delta 435), pack-reused 2532 (from 1)\u001b[K\n",
+ "Receiving objects: 100% (3257/3257), 57.90 MiB | 40.30 MiB/s, done.\n",
+ "Resolving deltas: 100% (2025/2025), done.\n"
+ ]
+ }
+ ],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ],
+ "id": "b24e401e"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "cd DeepGuard"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "ijppv_W-iT_H",
+ "outputId": "4b9f2e28-6b21-4298-f41a-4ee9437686c6"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/DeepGuard\n"
+ ]
+ }
+ ],
+ "id": "0f23ece7"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q grad-cam"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "HSKrjUy8jA5I",
+ "outputId": "1c086372-5bb4-44bf-d946-23b76e3ddfbf"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/7.8 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/7.8 MB\u001b[0m \u001b[31m112.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m139.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ " Building wheel for grad-cam (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
+ ]
+ }
+ ],
+ "id": "19aed405"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q ultralytics"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "0x3o8lPRj-8F",
+ "outputId": "9eb22e34-d9f3-402d-d9ad-f0aa43cd0113"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/41.3 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.3/41.3 kB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m42.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h"
+ ]
+ }
+ ],
+ "id": "c1e825e1"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt"
+ ],
+ "metadata": {
+ "id": "7NJpIIOtiWpV"
+ },
+ "execution_count": 5,
+ "outputs": [],
+ "id": "94db73fb"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## EigenGradCAM\n",
+ "---\n"
+ ],
+ "metadata": {
+ "id": "6ha_d3Ghj7CS"
+ },
+ "id": "075efb05"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like EigenCAM but with class discrimination: First principle component of Activations*Grad. Looks like GradCAM, but cleaner"
+ ],
+ "metadata": {
+ "id": "7DoR2bddkP_U"
+ },
+ "id": "8c5361cd"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import EigenGradCAMExplainer"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "n1KIKp4BkE0-",
+ "outputId": "e3d69789-5781-4059-caf0-d4e38e289ae0"
+ },
+ "execution_count": 6,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Creating new Ultralytics Settings v0.0.6 file ✅ \n",
+ "View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n",
+ "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
+ ]
+ }
+ ],
+ "id": "1f29416b"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "QduZG3aSinDV"
+ },
+ "id": "2839cbdc"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = EigenGradCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "ct2duBjnjL-v",
+ "outputId": "cfa38eb6-c546-4bfc-d714-daf707ea7a82"
+ },
+ "execution_count": 17,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "47c0f884"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "cDUsj9wLlAIj"
+ },
+ "id": "14bad8c6"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = EigenGradCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.7, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.7, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "IYE3yaBelCBK",
+ "outputId": "8c428d17-5993-46e2-b6e8-2e20b58086ef"
+ },
+ "execution_count": 27,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "36e76d84"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## GradCamPlusPlus\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "nx0KTlREiony"
+ },
+ "id": "e89320c9"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but uses second order gradients"
+ ],
+ "metadata": {
+ "id": "TKIQacaOmNJ4"
+ },
+ "id": "4daa6d83"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import GradCAMPlusPlusExplainer"
+ ],
+ "metadata": {
+ "id": "uKSARiIxmS26"
+ },
+ "execution_count": 9,
+ "outputs": [],
+ "id": "683ec37b"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "2XW5lY91mb_f"
+ },
+ "id": "e310e3a8"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMPlusPlusExplainer(\n",
+ " model_name = \"ms_eff_vit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "7mmXgmWEmj3t",
+ "outputId": "4c1a3d23-7912-4740-9996-487b1d148b4f"
+ },
+ "execution_count": 35,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "040b62e7"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "IALy8WWQmm5f"
+ },
+ "id": "b44b6b92"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMPlusPlusExplainer(\n",
+ " model_name = \"ms_eff_vit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.7, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.7, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "UHVPhGsCmpmq",
+ "outputId": "796c4493-0f85-40f2-fca2-dd5a76402791"
+ },
+ "execution_count": 42,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "edebaca5"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## XGradCAM\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "T9T9pAv3iuZX"
+ },
+ "id": "262da0d3"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but scale the gradients by the normalized activations"
+ ],
+ "metadata": {
+ "id": "LnYa1_wkmPx1"
+ },
+ "id": "36f2ed97"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import XGradCAMExplainer"
+ ],
+ "metadata": {
+ "id": "YtSp-4SZmJZo"
+ },
+ "execution_count": 12,
+ "outputs": [],
+ "id": "dc885821"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "xQgGzdwnmcsB"
+ },
+ "id": "192282df"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = XGradCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.7, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.7, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "xfZf465omi5M",
+ "outputId": "c5dcf7a6-e5b2-4118-93d9-06e86a5c92b5"
+ },
+ "execution_count": 50,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "b0a2d013"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "EKKc18cYmny5"
+ },
+ "id": "25ab790b"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = XGradCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"high\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "4bAnK0_ZmqlR",
+ "outputId": "c79e05aa-dbd2-4e07-f098-2fb8de9848a6"
+ },
+ "execution_count": 53,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "2dd98d53"
+ }
+ ]
+}
diff --git a/tutorials/ms_eff_vit_low_level.ipynb b/tutorials/ms_eff_vit_low_level.ipynb
new file mode 100644
index 0000000..9395f8e
--- /dev/null
+++ b/tutorials/ms_eff_vit_low_level.ipynb
@@ -0,0 +1,690 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "G4"
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "NqILQnqgiI2m",
+ "outputId": "4b753bc0-e05c-4cc7-e1f0-dd50907cedd1"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Cloning into 'DeepGuard'...\n",
+ "remote: Enumerating objects: 3257, done.\u001b[K\n",
+ "remote: Counting objects: 100% (729/729), done.\u001b[K\n",
+ "remote: Compressing objects: 100% (276/276), done.\u001b[K\n",
+ "remote: Total 3257 (delta 551), reused 528 (delta 446), pack-reused 2528 (from 1)\u001b[K\n",
+ "Receiving objects: 100% (3257/3257), 57.90 MiB | 114.89 MiB/s, done.\n",
+ "Resolving deltas: 100% (2025/2025), done.\n"
+ ]
+ }
+ ],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ],
+ "id": "9a09fb30"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "cd DeepGuard"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "ijppv_W-iT_H",
+ "outputId": "531d16e7-b889-498f-80ae-53f7e3504b66"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "/content/DeepGuard\n"
+ ]
+ }
+ ],
+ "id": "a94319e1"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q grad-cam"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "HSKrjUy8jA5I",
+ "outputId": "68c8f916-500d-4022-cb39-11c4804904df"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m67.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ " Building wheel for grad-cam (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
+ ]
+ }
+ ],
+ "id": "bc285094"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q ultralytics"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "0x3o8lPRj-8F",
+ "outputId": "aab183e5-1268-4734-f8cc-299431379116"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.3/41.3 kB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m28.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h"
+ ]
+ }
+ ],
+ "id": "583404f9"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt"
+ ],
+ "metadata": {
+ "id": "7NJpIIOtiWpV"
+ },
+ "execution_count": 5,
+ "outputs": [],
+ "id": "65c26f0f"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## HiresCAM\n",
+ "---\n"
+ ],
+ "metadata": {
+ "id": "6ha_d3Ghj7CS"
+ },
+ "id": "8106ff2a"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but element-wise multiply the activations with the gradients; provably guaranteed faithfulness for certain models"
+ ],
+ "metadata": {
+ "id": "7DoR2bddkP_U"
+ },
+ "id": "f49a1a5d"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import HiResCAMExplainer"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "n1KIKp4BkE0-",
+ "outputId": "60897b91-7f25-465f-ed79-664bc5c5aea6"
+ },
+ "execution_count": 6,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Creating new Ultralytics Settings v0.0.6 file ✅ \n",
+ "View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n",
+ "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
+ ]
+ }
+ ],
+ "id": "cacc3b9f"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "QduZG3aSinDV"
+ },
+ "id": "86820ff5"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = HiResCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 393,
+ "referenced_widgets": [
+ "8e0c14c2c66a462e9e3e67c80806cca5",
+ "f46be4873ef44194ac75aaed427014e6",
+ "55d44f019da14d1c84060174b7d099ec",
+ "46bea390370f4389b77ea2c7faefe351",
+ "51e7226274b54e3cb828f657d48f227f",
+ "964e905545b34924bb718b6645b304cc",
+ "c5cbe59bee9a42d5ac838c3098dca8f6",
+ "be0d482042f44a47a0968eb08c07f847",
+ "746d53adef2d47bab90a1dc477037d49",
+ "91fb3e7047cd4f9da21e56b0c49ff70f",
+ "7a50356611184ea3b3c9396c88e9bad2"
+ ]
+ },
+ "id": "ct2duBjnjL-v",
+ "outputId": "b83c7ce1-17da-48f1-97c5-d89962fdd622"
+ },
+ "execution_count": 7,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n",
+ "WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/21.4M [00:00, ?B/s]"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Downloading: \"https://github.com/HanMoonSub/DeepGuard/releases/download/v0.1.0/ms_eff_vit_b0_ff++.bin\" to /root/.cache/torch/hub/checkpoints/ms_eff_vit_b0_ff++.bin\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "6c295dff"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "cDUsj9wLlAIj"
+ },
+ "id": "1d703c93"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = HiResCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b5\",\n",
+ " dataset = \"celeb_df_v2\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "IYE3yaBelCBK",
+ "outputId": "ac26dcf5-99b0-4034-a814-18471d1a7780"
+ },
+ "execution_count": 25,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "c0e79778"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## GradCamElementwise\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "nx0KTlREiony"
+ },
+ "id": "de85c28f"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Like GradCAM but element-wise multiply the activations with the gradients then apply a ReLU operation before summing"
+ ],
+ "metadata": {
+ "id": "TKIQacaOmNJ4"
+ },
+ "id": "6e671d0d"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import GradCAMElementWiseExplainer"
+ ],
+ "metadata": {
+ "id": "uKSARiIxmS26"
+ },
+ "execution_count": 9,
+ "outputs": [],
+ "id": "24f48abc"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "2XW5lY91mb_f"
+ },
+ "id": "7ba4d3bd"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMElementWiseExplainer(\n",
+ " model_name = \"ms_eff_vit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "7mmXgmWEmj3t",
+ "outputId": "11e299d2-97ff-475e-972b-a583cb3a72bb"
+ },
+ "execution_count": 32,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "d8ec7aa1"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "IALy8WWQmm5f"
+ },
+ "id": "6d55b9ef"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = GradCAMElementWiseExplainer(\n",
+ " model_name = \"ms_eff_vit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = False, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "UHVPhGsCmpmq",
+ "outputId": "dd8be9c5-8872-45c9-b825-4e9324f0e2b9"
+ },
+ "execution_count": 43,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "c1b42448"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## LayerCam\n",
+ "---"
+ ],
+ "metadata": {
+ "id": "T9T9pAv3iuZX"
+ },
+ "id": "699a64a1"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Spatially weight the activations by positive gradients. Works better especially in lower layers"
+ ],
+ "metadata": {
+ "id": "LnYa1_wkmPx1"
+ },
+ "id": "d3fa3664"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from explainability import LayerCAMExplainer"
+ ],
+ "metadata": {
+ "id": "YtSp-4SZmJZo"
+ },
+ "execution_count": 12,
+ "outputs": [],
+ "id": "5683d25d"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B0 (⚡ Fast Model)"
+ ],
+ "metadata": {
+ "id": "xQgGzdwnmcsB"
+ },
+ "id": "6c462d60"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = LayerCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b0\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.8, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = True, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "xfZf465omi5M",
+ "outputId": "896faff0-716f-41a3-9aff-2ef994813129"
+ },
+ "execution_count": 51,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "f378a1c2"
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "#### MS-EFF-VIT-B5 (🔥 Pro Model)"
+ ],
+ "metadata": {
+ "id": "EKKc18cYmny5"
+ },
+ "id": "2cfc9eb3"
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "explainer = LayerCAMExplainer(\n",
+ " model_name = \"ms_eff_vit_b5\",\n",
+ " dataset = \"ff++\",\n",
+ " branch_level = \"low\",\n",
+ ")\n",
+ "\n",
+ "heatmap_result = explainer.display_heatmap_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "heatmap_bbox_result = explainer.display_heatmap_bbox_on_image(\n",
+ " img_path = \"/content/DeepGuard/docs/samples/images/western/western_fake_1.JPG\",\n",
+ " category = 1, # 0: Real, 1: Fake\n",
+ " threshold = 0.9, # binarization cutoff (0.5~1.0), or \"auto\" for Otsu\n",
+ " image_weight = 0.7, # 0.0: heatmap only ← → 1.0: original only\n",
+ " aug_smooth = False, # TTA smoothing (not supported on 'pro' models)\n",
+ " eigen_smooth = True, # PCA noise reduction\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(6,3))\n",
+ "plt.subplot(1,2,1); plt.imshow(heatmap_result); plt.axis(\"off\")\n",
+ "plt.subplot(1,2,2); plt.imshow(heatmap_bbox_result); plt.axis(\"off\")\n",
+ "plt.tight_layout(); plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 307
+ },
+ "id": "4bAnK0_ZmqlR",
+ "outputId": "1e4618b5-7f32-44c7-9dd3-484d54ca94f7"
+ },
+ "execution_count": 57,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "id": "143e325b"
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "l8NCX5XoxT1Q"
+ },
+ "execution_count": null,
+ "outputs": [],
+ "id": "2802bc72"
+ }
+ ]
+}
diff --git a/tutorials/predict_image.ipynb b/tutorials/predict_image.ipynb
new file mode 100644
index 0000000..f3f102d
--- /dev/null
+++ b/tutorials/predict_image.ipynb
@@ -0,0 +1,238 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "c2359c6a",
+ "metadata": {
+ "id": "6OR7ZJv7JYVS"
+ },
+ "source": [
+ "## Git Clone"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9e1c39f6",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "a35V0LmzN573",
+ "outputId": "a6de362e-3031-4f65-d87a-f6ecb304c727"
+ },
+ "outputs": [],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "7c0687ce",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "ga6XATSlOAU1",
+ "outputId": "e2a85ad1-9db6-4af6-fc1e-56038014e719"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/content/DeepGuard\n"
+ ]
+ }
+ ],
+ "source": [
+ "%cd DeepGuard"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "c64a0858",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "dRw6GrfDOYpu",
+ "outputId": "23f97fc9-5d9a-49d8-8376-161372534323"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/41.2 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.2/41.2 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m44.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install -q ultralytics"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1800e58a",
+ "metadata": {
+ "id": "v0ERV43YOg07"
+ },
+ "source": [
+ "## Predict DeepFake Image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "cb5c35a6",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "LciBIc8fOGdS",
+ "outputId": "2cd051b6-31b0-4770-ae13-c41a611fba14"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Creating new Ultralytics Settings v0.0.6 file ✅ \n",
+ "View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n",
+ "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from time import time\n",
+ "from inference.image_predictor import ImagePredictor"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9f3fdb0a",
+ "metadata": {
+ "id": "IPOKgWGgScxD"
+ },
+ "source": [
+ "**ms_eff_gcvit_b0 (fast model)**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "af2fec0f",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "00DiR-1FSUgO",
+ "outputId": "cf4e72c4-6814-48a1-b47a-de0701df4cef"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Deepfake Probability: 0.7854\n"
+ ]
+ }
+ ],
+ "source": [
+ "\n",
+ "from inference.image_predictor import ImagePredictor\n",
+ "\n",
+ "# Initialize the predictor\n",
+ "predictor = ImagePredictor(\n",
+ " margin_ratio = 0.2, # Margin ratio around the detected face crop\n",
+ " conf_thres = 0.5, # Confidence threshold for face detection\n",
+ " min_face_ratio = 0.01, # Minimum face-toframe size ratio to process\n",
+ " model_name = \"ms_eff_gcvit_b0\", # ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5\n",
+ " dataset = \"kodf\" # ff++, celeb_df_v2\n",
+ " )\n",
+ "\n",
+ "# Run Inference\n",
+ "result = predictor.predict_img(\n",
+ " img_path=\"/content/DeepGuard/docs/samples/images/asian/asian_fake_1.JPG\",\n",
+ " tta_hflip=0.0 # Horizontal Flip for Test-Time Augmentation\n",
+ " )\n",
+ "\n",
+ "print(f\"Deepfake Probability: {result:.4f}\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6377461d",
+ "metadata": {
+ "id": "Gf_9L5om_ObA"
+ },
+ "source": [
+ "**ms_eff_gcvit_b5 (pro model)**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "7076a275",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "5aI4RYvs_Qub",
+ "outputId": "8c05e2d5-7615-4430-f40f-6049007d7be2"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Downloading: \"https://github.com/HanMoonSub/DeepGuard/releases/download/v0.2.0/ms_eff_gcvit_b5_kodf.bin\" to /root/.cache/torch/hub/checkpoints/ms_eff_gcvit_b5_kodf.bin\n",
+ "Deepfake Probability: 0.8487\n"
+ ]
+ }
+ ],
+ "source": [
+ "\n",
+ "# Initialize the predictor\n",
+ "predictor = ImagePredictor(\n",
+ " margin_ratio = 0.2, # Margin ratio around the detected face crop\n",
+ " conf_thres = 0.5, # Confidence threshold for face detection\n",
+ " min_face_ratio = 0.01, # Minimum face-toframe size ratio to process\n",
+ " model_name = \"ms_eff_gcvit_b5\", # ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5\n",
+ " dataset = \"kodf\" # ff++, celeb_df_v2\n",
+ " )\n",
+ "\n",
+ "# Run Inference\n",
+ "result = predictor.predict_img(\n",
+ " img_path=\"/content/DeepGuard/docs/samples/images/asian/asian_fake_1.JPG\",\n",
+ " tta_hflip=0.0 # Horizontal Flip for Test-Time Augmentation\n",
+ " )\n",
+ "\n",
+ "print(f\"Deepfake Probability: {result:.4f}\")\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "accelerator": "GPU",
+ "colab": {
+ "gpuType": "G4",
+ "provenance": []
+ },
+ "kernelspec": {
+ "display_name": "Python 3",
+ "name": "python3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tutorials/predict_video.ipynb b/tutorials/predict_video.ipynb
new file mode 100644
index 0000000..5cca88a
--- /dev/null
+++ b/tutorials/predict_video.ipynb
@@ -0,0 +1,215 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "ab98f14b",
+ "metadata": {
+ "id": "6OR7ZJv7JYVS"
+ },
+ "source": [
+ "## Git Clone"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ab2425f7",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "a35V0LmzN573",
+ "outputId": "a6de362e-3031-4f65-d87a-f6ecb304c727"
+ },
+ "outputs": [],
+ "source": [
+ "!git clone https://github.com/HanMoonSub/DeepGuard.git"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "8f952fd3",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "ga6XATSlOAU1",
+ "outputId": "e2a85ad1-9db6-4af6-fc1e-56038014e719"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/content/DeepGuard\n"
+ ]
+ }
+ ],
+ "source": [
+ "%cd DeepGuard"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "c599551c",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "dRw6GrfDOYpu",
+ "outputId": "23f97fc9-5d9a-49d8-8376-161372534323"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/41.2 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.2/41.2 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m44.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install -q ultralytics"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "04902a51",
+ "metadata": {
+ "id": "f0nQ-hWZAdnm"
+ },
+ "source": [
+ "## Predict DeepFake Video"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d8f1a68f",
+ "metadata": {
+ "id": "WzyvhDvvKReA"
+ },
+ "source": [
+ "**ms_eff_gcvit_b0 (fast model)**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "id": "b6c2813f",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "QUJTFp0O_Zpy",
+ "outputId": "006f3fbe-bee3-4abd-e265-84af43828a24"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Deepfake Probability: 0.9838\n"
+ ]
+ }
+ ],
+ "source": [
+ "\n",
+ "from inference.video_predictor import VideoPredictor\n",
+ "\n",
+ "# Initialize the predictor\n",
+ "predictor = VideoPredictor(\n",
+ " margin_ratio = 0.2, # Margin ratio around the detected face crop\n",
+ " conf_thres = 0.5, # Confidence threshold for face detection\n",
+ " min_face_ratio = 0.01, # Minimum face-toframe size ratio to process\n",
+ " model_name = \"ms_eff_gcvit_b0\", # ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5\n",
+ " dataset = \"ff++\" # celeb_df_v2, kodf\n",
+ " )\n",
+ "\n",
+ "# Run Inference\n",
+ "result = predictor.predict_video(\n",
+ " video_path = \"/content/DeepGuard/docs/samples/videos/western/western_fake.mp4\",\n",
+ " num_frames = 20, # Number of frames to sample per video\n",
+ " agg_mode = \"conf\", # Aggregation Method: 'conf', 'mean', 'vote'\n",
+ " tta_hflip=0.0 # Horizontal Flip for Test-Time Augmentation\n",
+ " )\n",
+ "\n",
+ "print(f\"Deepfake Probability: {result:.4f}\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0aeeb7bb",
+ "metadata": {
+ "id": "JBEeoPpvKjSN"
+ },
+ "source": [
+ "**ms_eff_gcvit_b5 (pro model)**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "473c3e1c",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "wI8ZKpf9An0M",
+ "outputId": "3625c82f-e28d-4e5a-9ffd-991a9e55c28c"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Deepfake Probability: 0.9855\n"
+ ]
+ }
+ ],
+ "source": [
+ "from inference.video_predictor import VideoPredictor\n",
+ "\n",
+ "# Initialize the predictor\n",
+ "predictor = VideoPredictor(\n",
+ " margin_ratio = 0.2, # Margin ratio around the detected face crop\n",
+ " conf_thres = 0.5, # Confidence threshold for face detection\n",
+ " min_face_ratio = 0.01, # Minimum face-toframe size ratio to process\n",
+ " model_name = \"ms_eff_gcvit_b5\", # ms_eff_vit_b5, ms_eff_gcvit_b0, ms_eff_gcvit_b5\n",
+ " dataset = \"ff++\" # celeb_df_v2, kodf\n",
+ " )\n",
+ "\n",
+ "# Run Inference\n",
+ "result = predictor.predict_video(\n",
+ " video_path = \"/content/DeepGuard/docs/samples/videos/western/western_fake.mp4\",\n",
+ " num_frames = 20, # Number of frames to sample per video\n",
+ " agg_mode = \"conf\", # Aggregation Method: 'conf', 'mean', 'vote'\n",
+ " tta_hflip=0.0 # Horizontal Flip for Test-Time Augmentation\n",
+ " )\n",
+ "\n",
+ "print(f\"Deepfake Probability: {result:.4f}\")\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "accelerator": "GPU",
+ "colab": {
+ "gpuType": "G4",
+ "provenance": []
+ },
+ "kernelspec": {
+ "display_name": "Python 3",
+ "name": "python3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}