VirtualPainter.py

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

#######################
brushThickness = 25
eraserThickness = 40
########################

folderPath = "Header Files"
myList = os.listdir(folderPath)
overlayList = []
for imPath in myList:
    image = cv2.imread(f'{folderPath}/{imPath}')
    overlayList.append(image)

header = overlayList[0]
drawColor = (255, 0, 255)

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

detector = htm.handDetector(detectionCon=0.65, maxHands=1)
xp, yp = 0, 0
imgCanvas = np.zeros((720, 1280, 3), np.uint8)

eraser = False
while True:
    # 1. Import image
    success, img = cap.read()
    img = cv2.flip(img, 1)

    # 2. Find Hand Landmarks
    img = detector.findHands(img)
    lmList, bbox = detector.findPosition(img, draw=False)
    if len(lmList) != 0:
        # tip of index and middle fingers
        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]:
            # Checking for the click
            if y1 < 125:
                if 250 < x1 < 450:
                    eraser = False
                    header = overlayList[0]
                    drawColor = (255, 0, 255)
                elif 550 < x1 < 750:
                    eraser = False
                    header = overlayList[1]
                    drawColor = (250, 0, 0)
                elif 800 < x1 < 950:
                    eraser = False
                    header = overlayList[2]
                    drawColor = (0, 255, 0)
                elif 1050 < x1 < 1200:
                    eraser = True
                    header = overlayList[3]
                    drawColor = (0, 0, 0)
                cv2.rectangle(img, (x1, y1 - 25), (x2, y2 + 25), drawColor, cv2.FILLED)
                xp, yp = 0, 0

        # 5. If Drawing Mode – Index finger is up
        if 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 eraser:
                cv2.line(imgCanvas, (xp, yp), (x1, y1), drawColor, eraserThickness)
            else:
                cv2.line(imgCanvas, (xp, yp), (x1, y1), drawColor, brushThickness)


            xp, yp = x1, y1

    # # Modify canvas
    imgGray = cv2.cvtColor(imgCanvas, cv2.COLOR_BGR2GRAY)
    _, imgInv = cv2.threshold(imgGray, 50, 255, cv2.THRESH_BINARY_INV)
    imgInv = cv2.cvtColor(imgInv, cv2.COLOR_GRAY2BGR)
    img = cv2.bitwise_and(img, imgInv)
    img = cv2.bitwise_or(img, imgCanvas)

    height, width, channel = header.shape
    # Setting the header image
    img[0:height, 0:1280] = header

    cv2.imshow("Image", img)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cv2.destroyAllWindows()
cap.release()