TypeError：structure_similarity() 需要 2 个位置 arguments 但给出了 8 个

Question

当我在 python 和 opencv 中计算两个灰度图像之间的相似度时，错误地报告了名为compare_ssim()的 function。

gray1 = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY)
gray2 = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY)
(score, diff) = compare_ssim(gray1, gray2, full=True)

错误信息如下：

TypeError：structure_similarity() 需要 2 个位置 arguments 但给出了 8 个

这是来自图书馆的 function。 来自_structural_similarity.py文件。目录是\skimage\measure\_structural_similarity.py 。

def compare_ssim(X, Y, win_size=None, gradient=False,
                 data_range=None, multichannel=False, gaussian_weights=False,
                 full=False, **kwargs):
    warn('DEPRECATED: skimage.measure.compare_ssim has been moved to '
         'skimage.metrics.structural_similarity. It will be removed from '
         'skimage.measure in version 0.18.', stacklevel=2)
       return structural_similarity(X, Y, win_size, gradient,
                                 data_range, multichannel, gaussian_weights, 
                                 full, **kwargs)

return行，此行显示错误信息。

还有structural_similarity() 。这个function的目录是\skimage\metrics\_structural_similarity.py ，function如下：

def structural_similarity(im1, im2,
                          *,
                          win_size=None, gradient=False, data_range=None,
                          multichannel=False, gaussian_weights=False,
                          full=False, **kwargs):

这是什么问题，这是为什么？

Answer 1

from skimage.metrics import structural_similarity

试试...

Answer 2

我尝试使用这个：

from skimage.metrics import structural_similarity as ssim
...
s = ssim(gray_image_1,gray_image_2)

在这里，gray_image_1.shape = gray_image_2.shape = (420,420)。 这对我有用（python 3.6.6）。

`

Answer 3

感谢您的耐心等待。 我已经解决了这个问题。 It should be a function call error.when I replace the header file 'from skimage.measures import compare_ssim' with from skimage.metrics import structural_similarity , and replace the function call with a (score, diff) = structural_similarity(gray1, gray2, full=True) ，编译成功