chapter7.py

import cv2
import cv2 as cv
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] = cv.resize(imgArray[x][y], (0, 0), None, scale, scale)
                else:
                    imgArray[x][y] = cv.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] = cv.cvtColor(imgArray[x][y], cv.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] = cv.resize(imgArray[x], (0, 0), None, scale, scale)
            else:
                imgArray[x] = cv.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale)
            if len(imgArray[x].shape) == 2: imgArray[x] = cv.cvtColor(imgArray[x], cv.COLOR_GRAY2BGR)
        hor = np.hstack(imgArray)
        ver = hor
    return ver


path = 'Resources/lambo.PNG'

cv.namedWindow("TrackBars")
cv.resizeWindow("TrackBars", 640, 240)
cv.createTrackbar("Hue Min", "TrackBars", 0, 179, empty)
cv.createTrackbar("Hue Max", "TrackBars", 19, 179, empty)
cv.createTrackbar("Sat Min", "TrackBars", 110, 255, empty)
cv.createTrackbar("Sat Max", "TrackBars", 240, 255, empty)
cv.createTrackbar("Val Min", "TrackBars", 150, 255, empty)
cv.createTrackbar("Val Max", "TrackBars", 255, 255, empty)
img = cv.imread(path)
imgHSV = cv2.cvtColor(img, cv.COLOR_BGR2HSV)
while True:
    img = cv.imread(path)
    imgHSV = cv2.cvtColor(img, cv.COLOR_BGR2HSV)
    h_min = cv.getTrackbarPos("Hue Min", "TrackBars")
    h_max = cv.getTrackbarPos("Hue Max", "TrackBars")
    s_min = cv.getTrackbarPos("Sat Min", "TrackBars")
    s_max = cv.getTrackbarPos("Sat Max", "TrackBars")
    v_min = cv.getTrackbarPos("Val Min", "TrackBars")
    v_max = cv.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 = cv.inRange(imgHSV, lower, upper)
    imgResult = cv.bitwise_and(img, img, mask=mask)
    # cv.imshow("Original", img)
    # cv.imshow("imgHSV", imgHSV)
    # cv.imshow("Mask", mask)
    # cv.imshow("Result", imgResult)

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

    cv.waitKey(1)