OpenCVTutorial/ColorDetection.py at master · sanketkar24/OpenCVTutorial · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
import cv2
import numpy as np
def empty():
    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


img = cv2.imread("resources/lambo.png")
cv2.namedWindow("trackbars")
cv2.resizeWindow("trackbars",640,240)
cv2.createTrackbar("Hue Min", "trackbars", 0, 179, empty)
cv2.createTrackbar("Hue Max", "trackbars", 19, 179, empty)
cv2.createTrackbar("Sat Min", "trackbars", 110, 255, empty)
cv2.createTrackbar("Sat Max", "trackbars", 240, 255, empty)
cv2.createTrackbar("Val Min", "trackbars", 153, 255, empty)
cv2.createTrackbar("Val Max", "trackbars", 255, 255, empty)

while True:
    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")
    print(h_min,h_max,s_min,s_max,v_min,v_max)
    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)


    # cv2.imshow("HSV",imgHSV)
    # cv2.imshow("Mask", mask)
    # cv2.imshow("Result", imgResult)

    imgStack = stackImages(0.6,([img,imgHSV], [mask, imgResult]))
    cv2.imshow("Stacked image", imgStack)
    cv2.waitKey(1)