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I trained a model giving back this result :
with this comand : python train.py --label_nc 0 --no_instance --name Dal --dataroot .\pix2pixHD\datasets\Dal --save_epoch_freq 5
But when I test the model I get this :
with this command : python test.py --name Dal --netG local --ngf 32 --resize_or_crop none --label_nc 0 --no_instance --dataroot "./pix2pixHD/Test"
I don't know if it's normal, there seems to be a very big difference between the two.
The text was updated successfully, but these errors were encountered:
The command you used to train the network only train the global generator. But the test command you used here is supposed to run with the local enhancer + global generator. (the '--netG local' argument)
So modify the test command to:
python test.py --name Dal --ngf 32 --resize_or_crop none --label_nc 0 --no_instance --dataroot "./pix2pixHD/Test
And it should be fine.
I trained a model giving back this result :
with this comand : python train.py --label_nc 0 --no_instance --name Dal --dataroot .\pix2pixHD\datasets\Dal --save_epoch_freq 5
But when I test the model I get this :
with this command : python test.py --name Dal --netG local --ngf 32 --resize_or_crop none --label_nc 0 --no_instance --dataroot "./pix2pixHD/Test"
I don't know if it's normal, there seems to be a very big difference between the two.
The text was updated successfully, but these errors were encountered: