main.py

import cv2
import numpy as np
from tensorflow.keras.models import load_model
from cvzone.HandTrackingModule import HandDetector

model = load_model("Model/keras_model.h5", compile=False)
labels = open("Model/labels.txt").readlines()

cap = cv2.VideoCapture(0)
detector = HandDetector(maxHands=1)

while True:
    success, img = cap.read()
    hands, img = detector.findHands(img)

    if hands:
        hand = hands[0]
        x,y,w,h = hand['bbox']

        crop = img[y-20:y+h+20, x-20:x+w+20]
        crop = cv2.resize(crop,(224,224))

        image = np.asarray(crop,dtype=np.float32)
        image = (image / 127.5) - 1
        image = np.expand_dims(image, axis=0)

        prediction = model.predict(image, verbose=0)
        index = np.argmax(prediction)

        label = labels[index].strip()

        cv2.putText(img,label,(x,y-20),
                    cv2.FONT_HERSHEY_SIMPLEX,
                    1,(0,255,0),2)

    cv2.imshow("Hand Sign Detection", img)

    if cv2.waitKey(1)==27:
        break