main.py

import cv2
import HandTrackingModule as htm
import cvzone
import numpy as np

cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
detector = htm.handDetector(detectionCon=0.8)
colorR = (255, 0, 255)

cx, cy, w, h = 100, 100, 200, 200

class DragAndDrogRectangle():
    def __init__(self, posCenter, size=[200, 200]):
        self.posCenter = posCenter
        self.size = size

    def update(self, cursor):
        cx, cy = self.posCenter
        w, h = self.size

        # If the index finger tip is in rectangle region
        if cx - w//2 < cursor[0] < cx + w//2 and cy - h//2 < cursor[1] < cy + h//2:
            self.posCenter = cursor

rectList = []
for x in range(5):
    rectList.append(DragAndDrogRectangle([x*250+150, 150]))

while True:
    success, img = cap.read()
    img = cv2.flip(img, 1)
    img = detector.findHands(img)
    lmList, _ = detector.findPosition(img)

    if len(lmList) != 0:
        length, _, _ = detector.findDistance(8, 12, img, draw=False)
        if length < 40:
            cursor = lmList[8][1:] # index finger tip landmark
            # call the update
            for rect in rectList:
                rect.update(cursor)
    
    # Draw
    imgNew = np.zeros_like(img, np.uint8)
    for rect in rectList:
        cx, cy = rect.posCenter
        w, h = rect.size
        cv2.rectangle(imgNew, (cx - w//2, cy - h//2), (cx + w//2, cy + h//2), colorR, cv2.FILLED)
        cvzone.cornerRect(imgNew, (cx - w//2, cy - h//2, w, h), 20, rt=0)

    out = img.copy()
    alpha = 0.1
    mask = imgNew.astype(bool)
    out[mask] = cv2.addWeighted(img, alpha, imgNew, 1-alpha, 0)[mask]

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