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from cvzone.HandTrackingModule import HandDetector
import cv2

cap = cv2.VideoCapture(1)
detector = HandDetector(detectionCon=0.8, maxHands=1)
while True:
    # Get image frame
    success, img = cap.read()
    img = cv2.flip(img, 1)
    # Find the hand and its landmarks
    hands, img = detector.findHands(img)  # with draw
    
    # hands = detector.findHands(img, draw=False)  # without draw

    if hands:
       
        # Hand 1
        hand1 = hands[0]
        lmList1 = hand1["lmList"]  # List of 21 Landmark points
        bbox1 = hand1["bbox"]  # Bounding box info x,y,w,h
        centerPoint1 = hand1['center']  # center of the hand cx,cy
        handType1 = hand1["type"]  # Handtype Left or Right

        fingers1 = detector.fingersUp(hand1)
        totalFingers = fingers1.count(1)
        cv2.putText(img, f'Fingers:{totalFingers}', (bbox1[0] + 200, bbox1[1] - 30),
                    cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)
        
        if len(hands) == 2:
            # Hand 2
            hand2 = hands[1]
            lmList2 = hand2["lmList"]  # List of 21 Landmark points
            bbox2 = hand2["bbox"]  # Bounding box info x,y,w,h
            centerPoint2 = hand2['center']  # center of the hand cx,cy
            handType2 = hand2["type"]  # Hand Type "Left" or "Right"
            
            fingers2 = detector.fingersUp(hand2)

            # Find Distance between two Landmarks. Could be same hand or different hands
            length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)  # with draw
            # length, info = detector.findDistance(lmList1[8], lmList2[8])  # with draw
        # if totalFingers == 1:
            #mode1
        # elif totalFingers == 2:
            #mode2
        #......
           
    # Display
   
    cv2.imshow("Image", img)
    cv2.waitKey(1)