OpenCV--Use the track bar to color the picture

1. Create a window and create a track bar

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",85,255,empty)
cv2.createTrackbar("Val Max","TrackBars",255,255,empty)

2. Associate the parameter change of the track bar with the picture

    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")

3. Apply to pictures

    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)

4. Complete code

import cv2
import numpy as np

def empty(a):
    pass

path="D:/shijue/bij.jpg"
#创建轨迹条
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",85,255,empty)
cv2.createTrackbar("Val Max","TrackBars",255,255,empty)

while True:
    img=cv2.imread(path)
    imgHSV=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    #应用于图片
    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_max,h_min,s_min,s_max,v_max,v_min)
    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.namedWindow("Orginal",0)
    cv2.resizeWindow("Orginal",600,400)
    cv2.namedWindow("rest",0)
    cv2.resizeWindow("rest",600,400)
    cv2.imshow("Orginal", img)
    cv2.imshow("rest",imgResult)
    if cv2.waitKey(1)&0xFF==ord('p'):  #按任意键停止
        break

5. Running results