Run python inception_score.py --dataroot "path/to/image/folder" to calculate IS
Because I use Pytorch ImageFolder class from torchvision.datasets, path/to/image/folder should contain folder of images. Please refer to the documentation for more detail.
path
└── to
└── image
└── folder
└── class0
├── 0.jpg
└── 1.jpg
└── class1
├── 0.jpg
└── 1.jpg
IS code is derived from sbarratt
Run python fid_score.py path/to/image/folder1 path/to/image/folder2 --gpu 0 to calculate FID. The folder1 and folder2 should contain images.
path
└── to
└── image
└── folder
├── 0.jpg
└── 1.jpg
Option to calculate FID on multiple generated image folders. python fid_score.py path/to/image/folder path/to/generated/folder --gpu 0 --multiple_gen_dir. This command will output a summary file called fid.csv. Run this command to find the best FID epoch.
path
└── to
└── generated
└── folder
└── epoch0
├── 0.jpg
└── 1.jpg
└── epoch1
├── 0.jpg
└── 1.jpg
FID code is derived from mseitzer
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