Opencv-Python（7）-Trackbar动态调节HSV的值

'''
import cv2
import numpy as np

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

def empty(a):
    pass

path='Resources/car.jpeg'


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)


#工具条上最大最小值
while True:
    img = cv2.imread(path)
    imgHSV = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    #根据字符取数据值
    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("imgResult",imgResult)

    imgStack=stackImages(0.3,([img,imgHSV],[mask,imgResult]))
    cv2.imshow("stacked images",imgStack)
    cv2.waitKey(1)