Tkinter-OpenCV/FC_Hand_Tracking_Module.py at main · aryabagde/Tkinter-OpenCV · GitHub

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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)
        # 21 points
        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),15,(255,0,255),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[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)
        # multiple hands
        # print(results.multi_hand_landmarks)

        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__=="__main__":
    main()