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colorpicker.py
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colorpicker.py
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import cv2
import numpy as np
def empty(a):
pass
def stackImages(scale, imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width = imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range(0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]),
None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank] * rows
hor_con = [imageBlank] * rows
for x in range(0, rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0, rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale)
if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver
cv2.namedWindow("Trackbars")
cv2.resizeWindow("Trackbars", 600,300)
cv2.createTrackbar("Hue Min","Trackbars",0,179,empty)
cv2.createTrackbar("Hue Max","Trackbars",0,179,empty)
cv2.createTrackbar("Sat Min","Trackbars",0,179,empty)
cv2.createTrackbar("Sat Max","Trackbars",0,179,empty)
cv2.createTrackbar("Val Min","Trackbars",0,179,empty)
cv2.createTrackbar("Val Max","Trackbars",0,179,empty)
while True:
img = cv2.imread("assets/hhh.jpg")
imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
h_min = cv2.getTrackbarPos("Hue Min","Trackbars")
h_max = cv2.getTrackbarPos("Hue Max", "Trackbars")
s_min = cv2.getTrackbarPos("Sat Min", "Trackbars")
s_max = cv2.getTrackbarPos("Sat Max", "Trackbars")
v_min = cv2.getTrackbarPos("Val Min", "Trackbars")
v_max = cv2.getTrackbarPos("Val Max", "Trackbars")
lower = np.array([h_min,s_min,v_min])
upper = np.array([h_max,s_max,v_max])
mask = cv2.inRange(imgHSV, lower, upper)
imgResult = cv2.bitwise_and(img,img,mask=mask)
imgStack = stackImages(0.5,([img, imgHSV], [mask, imgResult]))
cv2.imshow("Output", imgStack)
cv2.waitKey(1)