HandTrackingModule.py

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
        self.tipIds = [4, 8, 12, 16, 20]
        
    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):

        self.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)
                self.lmList.append([id,cx,cy])
                #if draw:
                  #    cv2.circle(img, (cx,cy), 25,(255,0,255), cv2.FILLED)
        return self.lmList


    def fingersUp(self):
        fingers = []

        #Thump
        if self.lmList[self.tipIds[0]] [1] < self.lmList[self.tipIds[0] - 1][1]:
            fingers.append(1)
        else:
            fingers.append(0)

        # 4 finger
        for id in range (1, 5): 
            if self.lmList[self.tipIds[id]] [2] > self.lmList[self.tipIds[id] - 2][2]:
                fingers.append(1)
            else:
                fingers.append(0)

        return fingers

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,
                        (255,0,0),3 )


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





if __name__ == "__main__":
        main()