Comments (4)
Thank you for being willing to provide a PR. I guess I would slightly prefer to use np.asarray(PIL.Image.open(...))
, just to avoid adding another dependency.
Of course, we need to make sure that np.asarray(PIL.Image.open(...))
returns the same thing as scipy.misc.imread
.
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I will get on it!
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Thanks. Merged #27.
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Related Issues (20)
- Imaginary component 3.1913775165377e+114 HOT 4
- How to calculate fid score with label HOT 1
- Can I implement the code with video data? HOT 1
- ValueError: Imaginary component 4.082076360939105e+125 HOT 12
- Batch-size Error HOT 5
- FID is a negative value HOT 2
- ValueError: batch_size should be a positive integer value, but got batch_size=0 HOT 8
- Invalid path error HELP PLS
- CUDNN_STATUS_NOT_SUPPORTED
- transforms: ToTensor(), Normalization HOT 1
- python: symbol lookup error: /home/xxx/miniconda3/envs/torch/lib/python3.7/site-packages/mk│ l/../../../libmkl_intel_thread.so.1: undefined symbol: __kmpc_global_thread_num HOT 1
- RuntimeError: unexpected EOF, expected 877244 more bytes. The file might be corrupted. HOT 3
- Query: WGAN-GP FID SCORE (PyTorch) HOT 1
- No module named pytorch_fid
- RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED HOT 1
- batch_size error HOT 7
- A better way to compute the FID
- Faster computation for FID
- Dataset sizes
- Error while loading weights from url HOT 1
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