Volumize/HandTrackingModule.py at main · Ronak-Dagale/Volumize · GitHub

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#  Hand Tracking Module

import cv2
import mediapipe as mp
import time

class handDetector():
    def __init__(self,mode=False,maxHands=2,mcomp=1,detectionCon=0.5,trackCon=0.5):
        self.mode=mode
        self.maxhands=maxHands
        self.mcomp=mcomp
        self.detectionCon=detectionCon
        self.trackCon=trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode,self.maxhands,self.mcomp,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 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), 7, (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_ITALIC, 3, (255, 0, 255), 2)

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

if __name__=="__main__":
    main()