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Copy pathhandTrackingModule.py
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70 lines (55 loc) · 2.1 KB
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import time
import cv2
import mediapipe as mp
class hand_Detector():
def __init__(self,mode=False, maxHands = 2, detectionCon = 0.5, trackingCon = 0.5, modelComplex = 1 ):
self.mode = mode
self.maxHands = maxHands
self.detectionCon = detectionCon
self.trackingCon = trackingCon
self.modelComplex = modelComplex
self.mp_hands = mp.solutions.hands
self.hands = self.mp_hands.Hands(self.mode, self.maxHands, self.modelComplex, self.detectionCon, self.trackingCon)
self.mpDraw = mp.solutions.drawing_utils
def findHands(self, img, draw = True):
imageRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.hands.process(imageRGB)
if self.results.multi_hand_landmarks:
for handLms in self.results.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, handLms, self.mp_hands.HAND_CONNECTIONS)
return img
def findPosition(self, img, handno = 0, draw = True):
lmlist = []
if self.results.multi_hand_landmarks:
my_hand = self.results.multi_hand_landmarks[handno]
for id, lm in enumerate(my_hand.landmark):
h, w, c = img.shape
cx, cy = int(lm.x*w), int(lm.y*h)
lmlist.append([id, cx, cy])
if draw:
cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
return lmlist
def main():
pTime = 0
cTime = 0
cap = cv2.VideoCapture(0)
detector = hand_Detector()
while True:
success, img = cap.read()
img = detector.findHands(img)
lm = detector.findPosition(img, draw=False)
if len(lm) != 0:
print(lm[0])
cTime = time.time()
fps = 1/(cTime - pTime)
pTime = cTime
cv2.putText(img, str(int(fps)), (10,70), cv2.FONT_HERSHEY_PLAIN,
3, (255, 0, 255), 3)
cv2.imshow("Image", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
main()