main.py

import cv2
from cvzone.HandTrackingModule import HandDetector

cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)

detector = HandDetector(detectionCon=0.7)

startDis = None
scale = 0
cx, cy = 200, 200

while True:
    success, img = cap.read()
    hands, img = detector.findHands(img)
    
    img1 = cv2.imread("one.jpg")

    if len(hands) == 2:
        # print("Zoom Gesture")
        # print(detector.fingersUp(hands[0]), detector.fingersUp(hands[1]))
        hand1 = hands[0]
        hand2 = hands[1]

        hand1_fingers = detector.fingersUp(hands[0])
        hand2_fingers = detector.fingersUp(hands[1])

        if hand1_fingers == [1,1,0,0,0] and hand2_fingers == [1,1,0,0,0]:
            lmList1 = hand1["lmList"]
            lmList2 = hand2["lmList"]

            if startDis is None:
                # length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
                length, info, img = detector.findDistance(hand1["center"], hand2["center"], img)
                # print(length)
                startDis = length

            # length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
            length, info, img = detector.findDistance(hand1["center"], hand2["center"], img)
            scale = int((length - startDis)//2)
            cx, cy = info[4:]
            # print(scale)

    else:
        startDis = None
    
    try:
        h1, w1, _ = img1.shape
        newH, newW = ((h1 + scale)//2)*2 , ((w1 + scale)//2)*2
        img1 = cv2.resize(img1,(newH, newW))
        img[cy - newH//2 : cy + newH//2, cx - newW//2 : cx + newW//2] = img1
    
    except:
        pass
    
    

    cv2.imshow("Problem Solve with Ridoy", img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break