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AI_Painter.py
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AI_Painter.py
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import cv2
import numpy as np
import time
import os
import handTrackingModule as htm
###########################
brushThickness = 5
eraserThickness = 20
##########################
folderPath = "Header"
myList = os.listdir(folderPath)
print(myList)
overLayList = []
for imgPath in myList:
image = cv2.imread(f'{folderPath}/{imgPath}')
overLayList.append(image)
# print(len(overLayList))
header = overLayList[0]
drawColor = (255, 0, 255)
cap = cv2.VideoCapture(0)
cap.set(3, 1920)
cap.set(4, 720)
detector = htm.HandDetector(detectionCon=0.7)
xp, yp = 0, 0
imgCanvas = np.zeros((720, 1280, 3), np.uint8)
while True:
# 1. import the image
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)
# 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()
# print(fingers)
# 4. If Selection Mode - Two Fingers are up
if fingers[1] and fingers[2]:
xp, yp = 0, 0
# print("Selection mode")
# Checking for the click
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)
if 1050 < x1 < 1200:
header = overLayList[3]
drawColor = (0, 0, 0)
cv2.rectangle(img, (x1, y1 - 25), (x2, y2 + 25), drawColor, cv2.FILLED)
# 5. If Drawing Mode - Index finger is up
if fingers[1] and fingers[2] == False:
cv2.circle(img, (x1, y1), 15, drawColor, cv2.FILLED)
# print("Drawing mode")
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)
else:
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(img, imgInv)
img = cv2.bitwise_or(img, imgCanvas)
# Setting 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.imshow("Inv", imgInv)
cv2.waitKey(1)