python opencv 4.5.5 cv :: getTrackBarpos错误发生在新版本中

Question

我在下面遇到了一个错误：

    File "C:\Users\deniz\OneDrive\Desktop\Bitirme\2.dönem\Program\Composite Project22.py", line 814, in kızart
    kırmızı = cv.getTrackbarPos('Red Area Ratio','Filter')
cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv\modules\highgui\src\window.cpp:862: error: (-215:Assertion failed) trackbar in function 'cv::getTrackbarPos'

Traceback (most recent call last):
  File "C:\Users\deniz\OneDrive\Desktop\Bitirme\2.dönem\Program\Composite Project22.py", line 816, in kızart
    contrast = cv.getTrackbarPos("Contrast","Filter")
cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv\modules\highgui\src\window.cpp:862: error: (-215:Assertion failed) trackbar in function 'cv::getTrackbarPos'

255 127 127

我的主要问题是下面的代码与我的python旧设置效果很好。但是，我购买了新的SSD，并安装了新版本的Python和OpenCV。我在Stackoverflow上搜索了此主题，有些人解决了由错别字引起的此问题，但我的旧版本设置中没有任何错别字或其他错误。该代码也可以在新设置上工作，但功能确实可以正常工作，但不准确地像旧版本一样，并且不会以正确的形式输出图像。

def kızart(kırmızı=255,brightness=255,contrast=127):#kırmızı=255,brightness=255,contrast=127
                global effect
                global fotoolcer
                global label1
                global test
                global image1
                global effect

                brightness = cv.getTrackbarPos('Brightness','Filter')

                kırmızı = cv.getTrackbarPos('Red Area Ratio','Filter')

                contrast = cv.getTrackbarPos('Contrast','Filter')
                print(brightness,kırmızı,contrast)
                effect = pixcont(image,kırmızı,brightness,contrast)
                cv.imshow('Filtered Image', effect)
                cv.imwrite("Filtered Image.png",effect)

这两个代码称为“ pixcont”之间有一个函数。

if __name__ == '__main__':
                # The function imread loads an image
                # from the specified file and returns it.
                if vf_iter_counter==1:
                    original = cv.imread(vf_iter_basename)

                elif vf_iter_counter==0:
                    original = cv.imread(basename)

                # Making another copy of an image.

                image = original.copy()

                # The function namedWindow creates a
                # window that can be used as a placeholder
                # for images.

                cv.namedWindow('Filter')

                # The function imshow displays an

                # image in the specified window.

                cv.imshow('Filter', original)

                # createTrackbar(trackbarName,
                # windowName, value, count, onChange)
                # Brightness range -255 to 255
                # Contrast range -127 to 127
                cv.createTrackbar('Brightness','Filter', 255,2*255,kızart)
                cv.createTrackbar('Red Area Ratio','Filter', 127,255,kızart)
                cv.createTrackbar('Contrast','Filter',127, 2 * 127,kızart)

            cv.waitKey(0)

它会流利地读取跟踪栏，并且可以得到跟踪栏的结果并打印它们。在旧设置中，该功能在更改比例尺之前，该功能不会启动该过程。在此版本中，它会自动启动它。我不了解真正的问题。 PS：ı是否必须在系统路径中添加OpENCV？我不记得我做到了。 谢谢。

Answer 1

我根据Berak的建议找到解决方案。我在段循环中拆分并运行该功能。

不幸的是，如今，CreateTrackBar（）已经调用了您的Kizart回调函数，其中仅创建了3个跟踪栏中的1个。为所有跟踪栏使用相同的回调的坏主意。也许使用主循环而不是回调函数 -
休息

解决方案：

            def dead(x):
                pass
            cv.namedWindow('Filter')
            cv.createTrackbar('Brightness','Filter', 255,2*255,dead)
            cv.createTrackbar('Red Area Ratio','Filter', 127,255,dead)
            cv.createTrackbar('Contrast','Filter',127, 2 * 127,dead)
            while True:
                if vf_iter_counter==1:
                    original = cv.imread(vf_iter_basename)

                elif vf_iter_counter==0:
                    original = cv.imread(basename)
                
                image = original.copy()
                #cv.resizeWindow('Filter',hgt,wid)
                k = cv.waitKey(1) & 0xFF
                if k == 27:
                    break

                kırmızı = cv.getTrackbarPos('Red Area Ratio','Filter')
                brightness = cv.getTrackbarPos('Brightness','Filter')
                contrast = cv.getTrackbarPos('Contrast','Filter')
                effect = pixcont(image,kırmızı,brightness,contrast)

                cv.imshow('Filter',effect)

                print(kırmızı,brightness,contrast)

            cv.destroyAllWindows()