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我正在尝试使用滑块来控制 HSV 掩码的下限和上限。我能够得到滑块，但不能让它保持我设定的位置；每次拉入新框架时，它都会一直回到零。 

import numpy as np
import cv2

def nothing(x):
    pass

cap = cv2.VideoCapture(0)

while(True):

    # Make a window for the video feed  
    cv2.namedWindow('frame',cv2.CV_WINDOW_AUTOSIZE)

    # Capture frame-by-frame
    ret, frame = cap.read()

    # Make the trackbar used for HSV masking    
    cv2.createTrackbar('HSV','frame',0,255,nothing)

    # Name the variable used for mask bounds
    j = cv2.getTrackbarPos('HSV','image')

    # Convert BGR to HSV
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    # define range of color in HSV
    lower = np.array([j-10,100,100])
    upper = np.array([j+10,255,255])

    # Threshold the HSV image to get only selected color
    mask = cv2.inRange(hsv, lower, upper)

    # Bitwise-AND mask the original image
    res = cv2.bitwise_and(frame,frame, mask= mask)

    # Display the resulting frame
    cv2.imshow('frame',res)

    # Press q to quit
    if cv2.waitKey(3) & 0xFF == ord('q'):
        break


# When everything is done, release the capture
cap.release()
cv2.destroyAllWindows()
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1 回答 1

2

您正在 while 循环内创建跟踪栏，这就是为什么您在每一帧上都获得新的跟踪栏。

所以改变你的代码，

# Make a window for the video feed  
cv2.namedWindow('frame',cv2.CV_WINDOW_AUTOSIZE)
# Make the trackbar used for HSV masking    
cv2.createTrackbar('HSV','frame',0,255,nothing)

while(True):

    # Capture frame-by-frame
    ret, frame = cap.read()
    ........................
    ........................
于 2014-04-18T03:49:29.257 回答