HandTracking_openCV/HandTrackingModule.py at main · anujayavidmal2002/HandTracking_openCV · GitHub

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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(static_image_mode=self.mode,        # Keyword argument
            max_num_hands=self.maxHands,        # Keyword argument
            min_detection_confidence=self.detectionCon,  # Keyword argument
            min_tracking_confidence=self.trackCon      # Keyword argument
            )
        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(f"Landmark ID {id}: ({cx}, {cy})")
                lmList.append([id,cx,cy])
                if draw:

                    #if id ==0:
                    cv2.circle(img, (cx,cy), 5 , (255,0,255), cv2.FILLED)
    #draw connections & dots
        return lmList


def main():

    pTime =0
    cTime =0

    cap = cv2.VideoCapture(0)
    if not cap.isOpened():
        print("Error: could not open camers.")
        exit()
    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)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()