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Copy pathVirtual_paint.py
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Virtual_paint.py
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import cv2
import numpy as np
frameWidth = 640
frameHeight = 480
cap = cv2.VideoCapture(1)
cap.set(3, frameWidth)
cap.set(4, frameHeight)
cap.set(10, 150)
myColors = [[5, 107, 0, 19, 255, 255],
[133, 56, 0, 159, 156, 255],
[57, 76, 0, 100, 255, 255],
[90, 48, 0, 118, 255, 255]]
myColorValues = [[51, 153, 255], ## BGR
[255, 0, 255],
[0, 255, 0],
[255, 0, 0]]
myPoints = [] ## [x , y , colorId ]
def findColor(img, myColors, myColorValues):
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), 15, 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 > 500:
# cv2.drawContours(imgResult, cnt, -1, (255, 0, 0), 3)
peri = cv2.arcLength(cnt, True)
approx = cv2.approxPolyDP(cnt, 0.02 * peri, True)
x, y, w, h = cv2.boundingRect(approx)
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 = findColor(img, myColors, myColorValues)
if len(newPoints) != 0:
for newP in newPoints:
myPoints.append(newP)
if len(myPoints) != 0:
drawOnCanvas(myPoints, myColorValues)
cv2.imshow("Result", imgResult)
if cv2.waitKey(1) and 0xFF == ord('q'):
break
# Color Picker
frameWidth = 640
frameHeight = 480
cap = cv2.VideoCapture(1)
cap.set(3, frameWidth)
cap.set(4, frameHeight)
def empty(a):
pass
cv2.namedWindow("HSV")
cv2.resizeWindow("HSV", 640, 240)
cv2.createTrackbar("HUE Min", "HSV", 0, 179, empty)
cv2.createTrackbar("HUE Max", "HSV", 179, 179, empty)
cv2.createTrackbar("SAT Min", "HSV", 0, 255, empty)
cv2.createTrackbar("SAT Max", "HSV", 255, 255, empty)
cv2.createTrackbar("VALUE Min", "HSV", 0, 255, empty)
cv2.createTrackbar("VALUE Max", "HSV", 255, 255, empty)
while True:
success, img = cap.read()
imgHsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
h_min = cv2.getTrackbarPos("HUE Min", "HSV")
h_max = cv2.getTrackbarPos("HUE Max", "HSV")
s_min = cv2.getTrackbarPos("SAT Min", "HSV")
s_max = cv2.getTrackbarPos("SAT Max", "HSV")
v_min = cv2.getTrackbarPos("VALUE Min", "HSV")
v_max = cv2.getTrackbarPos("VALUE Max", "HSV")
print(h_min)
lower = np.array([h_min, s_min, v_min])
upper = np.array([h_max, s_max, v_max])
mask = cv2.inRange(imgHsv, lower, upper)
result = cv2.bitwise_and(img, img, mask=mask)
mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2BGR)
hStack = np.hstack([img, mask, result])
cv2.imshow('Horizontal Stacking', hStack)
if cv2.waitKey(1) and 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()