Result nan

[arvisioncode]

Hello,

I have been doing tests with the clipiqa_single_image_demo.py and the "test degradation attributes" and sometimes the result is nan. It is true that for some images it returns scores, but usually not.

python demo/clipiqa_single_image_demo.py --config configs/clipiqa/clipiqa_attribute_test.py --checkpoint checkpoint/iter_80000.pth --file_path dataset/img.jpg

>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
['Quality', 'Brightness', 'Sharpness', 'Noisiness', 'Colorfulness', 'Contrast', 'Quality']
[0.9892578  0.98876953 0.99853516 0.06488037 0.7416992  0.66796875]

>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
['Quality', 'Brightness', 'Sharpness', 'Noisiness', 'Colorfulness', 'Contrast', 'Quality']
[nan nan nan nan nan nan]

Do you know why this can be and how to fix it?

[IceClear]

Hi. I did not meet such a problem before. You may check the input if there is nan. Thanks.

[arvisioncode]

The image is similar to the one that gives good scores. In the code, I just modify the clipiqa_single_image_demo.py as mentioned before and the attribute_list to ['Quality', 'Brightness', 'Sharpness', 'Noisiness', 'Colorfulness', 'Contrast'] in the clipiqa_single_image_demo.py

Does the entry have to have some special characteristic, such as a minimum size?

[arvisioncode]

Resize from (674, 1069, 3) to (1289, 2048, 3) solves the problem