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HandTrackModule.py
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HandTrackModule.py
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from cv2 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 findPos(self,img, handNo =0, draw = True):
lmList = []
# return 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),15,(255,0,255))
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.findPos(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)
cv2.waitKey(1)
if __name__ == "__main__":
main()