Hello, thanks for your great work! I am currently training your network on my own dataset with gray-scale images but the code, to be specific, metric/fid_score.py and metric/inception.py failed to execute correctly. Gray-scale input is not considered when computing fid_score in metric/fid_score.py, and the pretrained inception_v3 model does not support single-channel input.
I made a few modification on the code on my forked repo to make it run on my dataset: commit
Still I do not know whether my code works well or not. Hoping that you will let me know if official support is provided :)
Could you just convert the gray scale images to the RGB ones? FID calculation does not support single channel. Also, you could duplicate the channels three times, but I am not sure if the FID number is reliable.
Hello, thanks for your great work! I am currently training your network on my own dataset with gray-scale images but the code, to be specific,
metric/fid_score.py
andmetric/inception.py
failed to execute correctly. Gray-scale input is not considered when computingfid_score
inmetric/fid_score.py
, and the pretrainedinception_v3
model does not support single-channel input.I made a few modification on the code on my forked repo to make it run on my dataset: commit
Still I do not know whether my code works well or not. Hoping that you will let me know if official support is provided :)