所以我的问题是，当我去编辑照片时，我无法从轨迹栏获得最终设置来保存和更新图像。
我在 github 上找到了基于我的代码的代码：
https://github.com/opencv/opencv/blob/master/samples/python/morphology.py
这只是轨迹栏的实现。一旦你离开函数定义，它甚至不会在模式之间保存，最终图像根本不会改变。所以我尝试了其他方法。这是一种看起来很有希望的方法：
def nothing(x):
pass
def isOrdered(img, cur_mode):
str_mode = 'ellipse'
cv2.namedWindow('edit')
cv2.createTrackbar('op/size', 'edit', 11, 20, nothing)
cv2.createTrackbar('iters', 'edit', 1, 10, nothing)
while(100):
cv2.imshow('edit', img)
k = cv2.waitKey(100) & 0xFF
if k == 27:
break
sz = cv2.getTrackbarPos('op/size', 'edit')
iters = cv2.getTrackbarPos('iters', 'edit')
opers = cur_mode.split('/')
if len(opers) > 1:
sz = sz - 10
op = opers[sz > 0]
sz = abs(sz)
else:
op = opers[0]
sz = sz*2+1
str_name = 'MORPH_' + str_mode.upper()
oper_name = 'MORPH_' + op.upper()
st = cv2.getStructuringElement(getattr(cv2, str_name), (sz, sz))
res = cv2.morphologyEx(img, getattr(cv2, oper_name), st, iterations=iters)
draw_str(res, (10, 20), 'mode: ' + cur_mode)
draw_str(res, (10, 40), 'operation: ' + oper_name)
draw_str(res, (10, 60), 'structure: ' + str_name)
draw_str(res, (10, 80), 'ksize: %d iters: %d' % (sz, iters))
cv2.destroyAllWindows()
return(sz, iters, op)
modes = ['erode/dilate', 'open/close', 'blackhat/tophat', 'gradient']
str_mode = 'ellipse'
for cur_mode in modes:
sz, iters, op = isOrdered(im, cur_mode)
str_name = 'MORPH_' + str_mode.upper()
oper_name = 'MORPH_' + op.upper()
st = cv2.getStructuringElement(getattr(cv2, str_name), (sz, sz))
im = cv2.morphologyEx(im, getattr(cv2, oper_name), st, iterations=iters)
cv2.imshow('final', im)
cv2.waitKey(0) & 0xFF
cv2.destroyAllWindows()
通过这种方式，当我更改轨迹栏设置以便能够看到它在做什么时，我无法更新图片，即使模式之间的中间图像不是，最终图像也是黑色的。