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VirtualPainter.py
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import cv2
import numpy as np
frameWidth = 640
frameHeight = 480
cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)
cap.set(4, frameHeight)
cap.set(10, 150)
# picked base colors using color_picker.py
myColors = [[173, 150, 0, 179, 255, 255],
[59, 129, 0, 109, 255, 255],
[173, 150, 0, 179, 255, 255]]
myColorValues = [[0, 0, 255],
[230, 215, 14],
[0, 0, 255]]
myPoints = []
def findColors(img, myColors):
imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
count = 0
newPoints = []
for color in myColors:
lower = np.array(color[0:3])
upper = np.array(color[3:6])
mask = cv2.inRange(imgHSV, lower, upper)
x, y = getContours(mask)
cv2.circle(imgResult, (x, y), 10, myColorValues[count], cv2.FILLED)
if x != 0 and y != 0:
newPoints.append([x, y, count])
count += 1
# cv2.imshow(str(color[0]), mask)
return newPoints
def getContours(img):
contours, hierarchy = cv2.findContours(
img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
x, y, w, h = 0, 0, 0, 0
for cnt in contours:
area = cv2.contourArea(cnt)
if area > 70:
cv2.drawContours(imgResult, cnt, -1, (255, 0, 0), 2)
peri = cv2.arcLength(cnt, False)
approx = cv2.approxPolyDP(cnt, 0.02*peri, False)
x, y, w, h = cv2.boundingRect(approx)
cv2.rectangle(imgResult, (x, y), (x+w, y+h), (0, 255, 0), 1)
return x+w//2, y
def drawOnCanvas(myPoints, myColorValues):
for point in myPoints:
cv2.circle(imgResult, (point[0], point[1]),
10, myColorValues[point[2]], cv2.FILLED)
while True:
success, img = cap.read()
imgResult = img.copy()
newPoints = findColors(img, myColors)
if len(newPoints) != 0:
for newP in newPoints:
myPoints.append(newP)
if len(myPoints) != 0:
drawOnCanvas(myPoints, myColorValues)
cv2.imshow("Video", imgResult)
if cv2.waitKey(1) & 0xFF == ord('q'):
break