Színkezelés

        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", 640,240)
        cv2.createTrackbar("Hue min", "Trackbars", 0, 179, empty)
        cv2.createTrackbar("Hue max", "Trackbars", 18, 179, empty)
        cv2.createTrackbar("Sat min", "Trackbars", 162, 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("Resources/lambo.png")
            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("Original", img)
            #cv2.imshow("HSV", imgHSV)
            #cv2.imshow("Mask", mask)
            #cv2.imshow("Result", imgResult)

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

            cv2.waitKey(1)