VirtualPainter.py

import cv2 
import os 
import HandTrackingModule as htm
import numpy as np


folderPath = "Header"
myList = os.listdir(folderPath)
overlayList = []

for imPath in myList:
    image = cv2.imread(f'{folderPath}/{imPath}')
    overlayList.append(image)

header = overlayList[0]
cap = cv2.VideoCapture(0)
# cap.set(3,1280)
# cap.set(4,720)
drawColor = (255, 0, 255)
brushThickness = 15
eraserThickness = 100
xp,yp = (0,0)
imgCanvas = np.zeros((720,1280,3),np.uint8)

detector = htm.HandDetector(detectionCon=0.85)
while True:
    # 1. Import Image
    success,img = cap.read()
    img = cv2.resize(img, (1280, 720))
    img = cv2.flip(img,1)
    # 2. Find Hand Landmarks
    img = detector.findHands(img)
    lmList = detector.findPosition(img,draw = False)
    if len(lmList) != 0:
        # Tip of Index and Middle Finger
        x1,y1 = lmList[8][1:]
        x2,y2 = lmList[12][1:]

        # 3. Check which fingers are up
        fingers = detector.fingersUp()
        # 4. If Selection mode - Two fingers are up
        if fingers[1] and fingers[2]:
            xp,yp = 0,0
            # Checking for the option being clicked
            if y1 < 125: 
                if 250 < x1 < 450 : 
                    header = overlayList[0]
                    drawColor = (255, 0, 255)
                elif 550 < x1 < 750 :
                    header = overlayList[1]
                    drawColor = (255, 0, 0)
                elif 800 < x1 < 950:
                    header = overlayList[2]
                    drawColor = (0, 255, 0)
                elif 1050 < x1 < 1200:
                    header = overlayList[3] 
                    drawColor = (0, 0, 0)
            cv2.rectangle(img, (x1,y1 - 25),(x2, y2 + 25),drawColor,cv2.FILLED)

                
        elif fingers[1] and not fingers[2]: 
            cv2.circle(img, (x1, y1),15,drawColor,cv2.FILLED)
            if xp == 0 and yp == 0 :
                xp,yp = x1,y1

            if drawColor == (0,0,0):
                cv2.line(img, (xp, yp),(x1,y1),drawColor,eraserThickness)
                cv2.line(imgCanvas, (xp, yp),(x1,y1),drawColor,eraserThickness)

            cv2.line(img, (xp, yp),(x1,y1),drawColor,brushThickness)
            cv2.line(imgCanvas, (xp, yp),(x1,y1),drawColor,brushThickness)
             
            xp,yp = x1, y1

        # 5. If Drawing mode - Index finger is up
       


    # Set the header image 
    img[0:125,0:1280] = header
    img = cv2.addWeighted(img, 0.5,imgCanvas,0.5,0)
    cv2.imshow("Image",img)
    cv2.imshow("Canvas",imgCanvas)
    cv2.waitKey(1)