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HandTrackingModule.py
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59 lines (54 loc) · 2 KB
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import cv2
import mediapipe as mp
import time
class HandDetector():
def __init__(self, mode=False,maxHands=2,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):
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)
h , w, c = img.shape
cx,cy= int(lm.x*w),int(lm.y*h)
lmList.append([id,cx,cy])
#print(id,cx,cy)
if draw:
cv2.circle(img, (cx,cy), 7, (255,0,0), cv2.FILLED)
return lmList
def main():
pTime=0
cTime=0
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)
cTime=time.time()
fps = 1/(cTime-pTime)
pTime=cTime
cv2.putText(img,str(int(fps)),(10,70),cv2.FONT_HERSHEY_COMPLEX,3,(255,0,255),3)
cv2.imshow("Image",img)
cv2.waitKey(1)
if __name__=='__main__':
main()