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VirtualPainter.py
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VirtualPainter.py
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import cv2
import numpy as np
import os
import HandTrackingModule as htm
brushThickness = 20
folderPath = "Template"
myList = os.listdir(folderPath)
print(myList)
overlayList = []
for imPath in myList:
image = cv2.imread(f'{folderPath}/{imPath}')
overlayList.append(image)
print(len(overlayList))
header = overlayList[0]
drawColor = (255, 0, 255)
cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
detector = htm.handDetector(detectionCon=0.85) # detection confidence
xp, yp = 0, 0
imgCanvas = np.zeros((720, 1280, 3), np.uint8)
while True:
# 1. import the image and
success, img = cap.read()
img = cv2.flip(img, 1)
# 2. Find Hand landmarks
img = detector.findHands(img)
lmList = detector.findPosition(img, draw=False)
if len(lmList) != 0:
# print(lmList)
x1, y1 = lmList[8][1:] # tip of index finger
x2, y2 = lmList[12][1:] # tip of middle finger
# 3. Check which finger are up
fingers = detector.fingersUp()
# print(fingers)
# 4. If selection mode - two finger up
if fingers[1] and fingers[2]:
xp, yp = 0, 0
print("Selection Mode")
# clicking
if y1 < 125:
header = overlayList[0]
if 250 < x1 < 450:
header = overlayList[1]
drawColor = (0, 0, 255)
brushThickness = 20
elif 470 < x1 < 680:
header = overlayList[2]
drawColor = (0, 255, 0)
brushThickness = 20
elif 700 < x1 < 880:
header = overlayList[3]
drawColor = (255, 50, 0)
brushThickness = 20
elif 900 < x1 < 1280:
header = overlayList[4]
drawColor = (0, 0, 0)
brushThickness = 100
cv2.rectangle(img, (x1, y1 - 25), (x2, y2 + 25), drawColor, cv2.FILLED)
# 5. If drawing mode - index finger up
if fingers[1] and fingers[2] == False:
if xp == 0 and yp == 0:
xp, yp = x1, y1
cv2.circle(img, (x1, y1), 15, drawColor, cv2.FILLED)
print("Drawing Mode")
if drawColor != (255, 0, 255):
cv2.line(img, (xp, yp), (x1, y1), drawColor, brushThickness)
cv2.line(imgCanvas, (xp, yp), (x1, y1), drawColor, brushThickness)
xp, yp = x1, y1
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(imgInv, img)
img = cv2.bitwise_or(img, imgCanvas)
# setting the header image
img[0:120, 0:1280] = header
# img = cv2.addWeighted(img, 0.5, imgCanvas, 0.5, 0)
cv2.imshow("Image", img)
cv2.imshow("Canvas", imgCanvas)
cv2.waitKey(1)
if cv2.waitKey(10) & 0xFF == ord('q'):
break