HandTrackingModule.py

import cv2 
import mediapipe as mp
import time


class handDetector():
    def __init__(self, mode = False , maxHands=2, detectioncon=1, trackCon=0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.dectioncon = detectioncon
        self.trackCon = trackCon
        self.mpHands = mp.solutions.hands 
        self.hands = self.mpHands.Hands(self.mode, self.maxHands ,self.dectioncon,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:
            myHands = self.results.multi_hand_landmarks[handNo]

            for id , lm in enumerate(myHands.landmark):
                #print(id,lm)
                h, w, c = img.shape
                cx , cy = int(lm.x*w), int(lm.y*h)
                lmList.append([id , cx , cy])

        return lmList 

def main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(1)
    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) == ord('q'):
            break





if __name__ == "__main__":
    main()