import mediapipe as mp
import cv2
import time
class handDetector():
    def __init__(self, mode=False, maxHands=2, detectionCon=0.5,modelComplexity=1,trackCon=0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.modelComplex = modelComplexity
        self.trackCon = trackCon
        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands,self.modelComplex,
                                    self.detectionCon, self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils # it gives small dots onhands total 20 landmark points

    def findHands(self,img,draw=True):
        # Send rgb image to hands
        imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB) # process the frame
        #     print(results.multi_hand_landmarks)

        if self.results.multi_hand_landmarks:
            for handLms in self.results.multi_hand_landmarks:

                if draw:
                    #Draw dots and connect them
                    self.mpDraw.draw_landmarks(img,handLms,
                                            self.mpHands.HAND_CONNECTIONS)

        return img
    def findPosition(self,img, handNo=0, draw=True):


        lmlist = []

        # check wether any landmark was detected
        if self.results.multi_hand_landmarks:
            #Which hand are we talking about
            myHand = self.results.multi_hand_landmarks[handNo]
            # Get id number and landmark information
            for id, lm in enumerate(myHand.landmark):
                # id will give id of landmark in exact index number
                # height width and channel
                h,w,c = img.shape
                #find the position
                cx,cy = int(lm.x*w), int(lm.y*h) #center
                # print(id,cx,cy)
                lmlist.append([id,cx,cy])


            # Draw circle for 0th landmark
            if draw:
                cv2.circle(img,(cx,cy), 15 , (255,0,255), cv2.FILLED)

        return lmlist






def main():
    #Frame rates
    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


        image = cv2.flip(img, flipCode=1)
        cv2.putText(image, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)
        cv2.imshow("Video",image)
        if cv2.waitKey(1) == ord('q'):
            break

    cap.release()
    cv2.destroyAllWindows()


if __name__ == "__main__":
    main()