HandTrackingModule.py

import cv2
import mediapipe as mp

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)

        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):
                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[4])
        cv2.imshow("Image",img)
        cv2.waitKey(1)



if __name__== "__main__":
    main()