GestureVolumeControl/HandTrackingModule.py at master · Elizabeth-Mathew1/GestureVolumeControl · GitHub

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import cv2.cv2 as cv2
import numpy as np
import mediapipe as mp
import time

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


        self.mpHands=mp.solutions.hands
        self.hands=self.mpHands.Hands(self.mode,self.maxHands,self.modelcomplexity,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
                #for handLms in results.multi_hand_landmarks:
                # for id,lm in enumerate(handLms.landmark):
                #     #print(id,lm)
                #     h,w,c =img.shape
                #     cx,cy=int(lm.x*w),int(lm.y*h)
                #     print(id,cx,cy)
                #     #if id==0:
                #     cv2.circle(img,(cx,cy),15,(255,0,255),cv2.FILLED)


    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 id==0:
                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[0])
        cTime = time.time()
        fps = 1 / (cTime - pTime)
        pTime = cTime
        cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (200, 0, 0), 3)

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

if __name__=="__main__":
    main()