Question

代码没有给我任何错误，但我无法移动跟踪条来查找我喜欢的值。我已经完整阅读了文档，但没有找到任何有用的信息。我试图使用轨迹栏为我的颜色范围找到一个好的上限值和下限值。它应该很简单。

例如，

rh表示红色高，如红色上边界。

这是我的代码：

import cv2
import numpy as np

def nothing(x):
    return()


cap = cv2.VideoCapture('video.MOV')


while(1):

    #Gets retval and frames from each video 

    ret ,frame = cap.read()

    #Check to see if retval is not None or empty
    if not ret:
        break;

    trackbar = np.zeros((300,512,3), np.uint8)
    trackbar2 = np.zeros((300,512,3), np.uint8)
    cv2.namedWindow("trackbar")
    cv2.namedWindow("trackbar2")


    cv2.createTrackbar('RL','trackbar',0,255,nothing)
    cv2.createTrackbar('GL','trackbar',0,255,nothing)
    cv2.createTrackbar('BL','trackbar',0,255,nothing)

    cv2.createTrackbar('RH','trackbar2',0,255,nothing)
    cv2.createTrackbar('GH','trackbar2',0,255,nothing)
    cv2.createTrackbar('BH','trackbar2',0,255,nothing)


    r = cv2.getTrackbarPos('RL','trackbar')
    g = cv2.getTrackbarPos('GL','trackbar')
    b = cv2.getTrackbarPos('BL','trackbar')

    rh = cv2.getTrackbarPos('RH','trackbar2')
    gh = cv2.getTrackbarPos('GH','trackbar2')
    bh = cv2.getTrackbarPos('BH','trackbar2')

    trackbar[:] = [b,g,r]
    trackbar2[:] = [bh,gh,rh]



    boundaries = [([r,g,b],[rh,gh,bh])]

    for (lower,upper) in boundaries:     
            lower = np.array(lower, dtype = "uint8")   
            upper = np.array(upper, dtype = "uint8")

            mask = cv2.inRange(frame,lower,upper)
            output = cv2.bitwise_and(frame, frame, mask = mask)
            cv2.imshow("video", np.hstack([frame, output]))   




    if (cv2.waitKey(1) & 0xFF) == ord("q"):
        break


cv2.destroyAllWindows()

Answer 1

正如烧杯所提到的，我在循环中进行了启动，所以我只是将它们移到了外面并且它有效：下面的工作代码：

import cv2
import numpy as np

def nothing(x):
    return()


cap = cv2.VideoCapture('movie.MOV')

trackbar = np.zeros((300,512,3), np.uint8)
trackbar2 = np.zeros((300,512,3), np.uint8)
cv2.namedWindow("trackbar")
cv2.namedWindow("trackbar2")


cv2.createTrackbar('RL','trackbar',0,255,nothing)
cv2.createTrackbar('GL','trackbar',0,255,nothing)
cv2.createTrackbar('BL','trackbar',0,255,nothing)

cv2.createTrackbar('RH','trackbar2',0,255,nothing)
cv2.createTrackbar('GH','trackbar2',0,255,nothing)
cv2.createTrackbar('BH','trackbar2',0,255,nothing)



while(1):

    #Gets retval and frames from each video 

    ret ,frame = cap.read()

    #Check to see if retval is not None or empty
    if not ret:
        break;


    r = cv2.getTrackbarPos('RL','trackbar')
    g = cv2.getTrackbarPos('GL','trackbar')
    b = cv2.getTrackbarPos('BL','trackbar')

    rh = cv2.getTrackbarPos('RH','trackbar2')
    gh = cv2.getTrackbarPos('GH','trackbar2')
    bh = cv2.getTrackbarPos('BH','trackbar2')

    trackbar[:] = [b,g,r]
    trackbar2[:] = [bh,gh,rh]



    boundaries = [([r,g,b],[rh,gh,bh])]

    for (lower,upper) in boundaries:     
            lower = np.array(lower, dtype = "uint8")   
            upper = np.array(upper, dtype = "uint8")

            mask = cv2.inRange(frame,lower,upper)
            output = cv2.bitwise_and(frame, frame, mask = mask)
            cv2.imshow("video", np.hstack([frame, output]))   




    if (cv2.waitKey(1) & 0xFF) == ord("q"):
        break


cv2.destroyAllWindows()

无法在OpenCV中移动跟踪栏。他们立即回归零。

1 个答案: