Multi-band image calculation FSIM is Nan value about image-similarity-measures HOT 4 OPEN

The problem may be in the PC component; the 4th element of the PC is all zero, but I don't know why.

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@MC1016 thanks for reporting.
Can you share minimalist code to reproduce the issue?

from image-similarity-measures.

@MC1016 thanks for reporting. Can you share minimalist code to reproduce the issue?
Yes can u try this thanks
from image_similarity_measures.quality_metrics import fsim
def mfsim(y, out):
gts = y
imgs = out
big_res = []

for gt, img in zip(gts, imgs):
    assert gt.shape == img.shape
    res = []
    for ii in range(gt.shape[0]):
        gt_band = gt[ii, :, :][np.newaxis, :, :] * 255
        img_band = img[ii, :, :][np.newaxis, :, :] * 255
        gt_band = np.transpose(gt_band, (1,2,0))
        img_band = np.transpose(img_band, (1,2,0))
        # NOTE: FSIM expects dynamic range [0, 255]
        res.append(fsim(gt_band, img_band))
    big_res.append(np.mean(res))
return np.mean(big_res)

if name == 'main':
ref = np.random.rand(1,1, 3, 3)
tar = np.random.rand(1,1, 3, 3)

print(mfsim1(ref,tar))

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data structure [batch,channel,x,y]

from image-similarity-measures.