Comments (1)
mseitzer
commented on July 17, 2024
Hi,
you do not have change anything to calculate the FID score for a GAN trained on CIFAR10/100. Images are automatically resized to the image size expected by the Inception model.
One nice thing about FID and IS is that they are dataset independent (because they are based on an Inception model trained on ImageNet). Otherwise you would have to retrain a network for each dataset you want to evaluate, which is inconvenient and also makes it more difficult to compare scores from different people.
from pytorch-fid.
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
- OSError: image file is truncated 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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from pytorch-fid.