vdashboard.py

import cv2
import numpy as np
from cvzone.HandTrackingModule import HandDetector
import cvzone

cap = cv2.VideoCapture(0)
cap.set(3, 1920)
cap.set(4, 1080)

detector = HandDetector(detectionCon=0.8)
colorR = (21, 50, 175)
# cx, cy, w, h = 100, 100, 200, 200

class DragRect():
    def __init__(self, posCenter, size=[100, 100]):
        self.posCenter = posCenter
        self.size = size
    
    def update(self, cursor):
        cx, cy = self.posCenter
        w, h = self.size
        x1, y1, x2, y2 = cx - w // 2, cy - h // 2, cx + w // w, cy + h // 2
        if X1 < cursor[0] < X2 and y1 < cursor[1] < y2:
            # colorR = (0, 255, 0)
            self.posCenter = cursor
            
rectList = []
for x in range(8):
    rectList.append(DragRect([x * 150 + 110, 160]))
    
while True:
    _, img = cap.read()
    img = cv2.flip(img, 1)
    img = detector.findHands(img)
    lmList, _ = detector.findPosition(img)
    
    if lmList:
        l, _, _ = detector.findDistance(4, 8, img)
        if l < 40:
            cursor = lmList[8]
            for rect in rectList:
                rect.update(cursor)
     # Drag solid
     # for rect in rectList
     #  cx, cy = rect.posCenter
     #  w, h = rect.size
     #  x1, y1, x2, y2 = cx-w//2, cy-h//2, cx+w//2, cy+h//2
     #  cv2.rectangle(img, (x1, y1), (x2, y2), colorR, cv2.FILLED)
     #  cvzone.cornerRect(img, (cx-w//2, cy-h//2, w, h), 28, rt=0)
     
     ## Draw Transperency
    imgNew = np.zeros_like(img)
    count = 0
    for rect in rectList:
       cx, cy = rect.posCenter
       w, h = rect.size
       x1, y1, x2, y2 = cx-w//2, cy-h//2, cx+w//2, cy+h//2
       cv2.rectangle(imgNew, (x1, y1), (x2, y2), colorR, cv2.FILLED)
       cvzone.cornerRect(imgNew, (cx-w//2, cy-h//2, w, h), 20, rt=0)
       myName = ["C", "A", "T", "I", "N", "O", "R", "S"]
       cv2.putText(imgNew, myName[count], (x1+20, y2-20), cv2.FONT_HERSHEY_COMPLEX, 3, (1, 1, 1), 5)
        
    cv2.putText(img, 'Word Create Game', (300, 70), cv2.FONT_HERSKEY_DUPLEX, 2, (255, 0, 0), 4)
    out = img.copy()
    alpha = 0.1
    mask = imgNew.astype(bool)
    out[mask] = cv2.addWeighted(img, alpha, imgNew, 1 - alpha, 0)[mask]
     
    cv.imshow("Image", out)
    cv2.waitKey(1)