OpenCVProjects/chapter7.py at master · Glitch-art/OpenCVProjects · GitHub

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"""
TITLE: Color Detection
"""
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


path = 'Resources/lambo.png'
cv2.namedWindow("TrackBars")
cv2.resizeWindow("TrackBars",640,240)
cv2.createTrackbar("Hue Min", "TrackBars", 0, 179, empty)
cv2.createTrackbar("Hue Max", "TrackBars", 179, 179, empty)
cv2.createTrackbar("Sat Min", "TrackBars", 0, 255, empty)
cv2.createTrackbar("Sat Max", "TrackBars", 255, 255, empty)
cv2.createTrackbar("Val Min", "TrackBars", 0, 255, empty)
cv2.createTrackbar("Val Max", "TrackBars", 255, 255, empty)

while True:
    img = cv2.imread(path)

    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)

    imgStack = stackImages(0.5, ([img, imgHSV], [mask, imgResult]))

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

    cv2.imshow("ImgStack", imgStack)

    cv2.waitKey(1)