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01_hand_track_module.py
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01_hand_track_module.py
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import cv2
import mediapipe as mp
import time
class handDetector():
def __init__(self,mode=False,maxHands=2,detectionCon=0.5,trackCon=0.5):
self.mode=mode
self.maxHands=maxHands
self.detectionCon=detectionCon
self.trackCon=trackCon
self.mpHands=mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode,self.maxHands,
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)
print(id,cx,cy)
lmList.append([id,cx,cy])
if draw:
cv2.circle(img,(cx,cy),8,(255,0,0),cv2.FILLED)
return lmList
def main():
ptime = 0
ctime = 0
cap = cv2.VideoCapture(0,cv2.CAP_DSHOW)
detector =handDetector()
while True:
success,img = cap.read()
img=detector.findHands(img)
lmList=detector.findPosition(img)
if len(lmList)!=0:
print(lmList[4])
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
if __name__=="__main__":
main()