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HandTrackingModule.py
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66 lines (54 loc) · 2.14 KB
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import cv2
import mediapipe as mp
import time
class handDetector():
def __init__(self, mode=False, maxHands=1, modelComplexity=1, detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.maxHands = maxHands
self.modelComplex = modelComplexity
self.detectionCon = detectionCon
self.trackCon = trackCon
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.modelComplex,
self.detectionCon, self.trackCon)
self.mpDraw = mp.solutions.drawing_utils
def findHands(self, img, draw=True):
# convert image to rgb
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.hands.process(imgRGB)
# print(results.multi_hand_landmarks)
if self.results.multi_hand_landmarks:
for handLms in self.results.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
return img
def findPosition(self,img,handNo=0,draw=True):
lmList=[]
if self.results.multi_hand_landmarks:
myHand=self.results.multi_hand_landmarks[handNo]
for id, lm in enumerate(myHand.landmark):
# print(id,lm) # each landmark has 3 values x,y,z
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
#print(id, cx, cy)
lmList.append([id,cx,cy])
if draw:
cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
return lmList
def main():
cap = cv2.VideoCapture(0)
detector = handDetector()
while True:
success, img = cap.read()
img = detector.findHands(img)
lmList=detector.findPosition(img)
if len(lmList)!=0:
print(lmList[0])
cv2.imshow("Image", img)
#cv2.waitKey(1)
if cv2.waitKey(1) == 27:
cv2.destroyAllWindows()
cap.release()
break
if __name__ == "__main__":
main()