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I looked around the code a bit and didn't see an easy way to generate a large number of images to do a FID calculation. I'm thinking something like:
stylegan2-pytorch --generate 50000 --results_dir /…
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@stylegan-human, the FID I am getting for stylegan_human_v2_1024.pkl seems higher than what is reported in the paper.
I did the following two methods for FID computation:
1. Generated 10 K imag…
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List of future Web Vitals Module features planned
https://github.com/getsentry/sentry/discussions/59620
```[tasklist]
### Tasks
- [ ] Desktop vs Mobile perf score profiles
- [ ] Replace FID in …
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ake_seq: 1.077584, lossG_fake_img: 0.687996, lossG_overlap_fake: 0.000686, lossG_overlap_real: 0.003858,
sampling for testing data
calculating FID
100%|████████████████████████████████████████████…
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Hi there, thanks for this package, it's really helpful!
On a cluster with multiple GPUs, I have my model on device `cuda:1`.
When calculating FID with a passed `gen` function, new samples are …
janfb updated
3 months ago
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**Feature description.**
Sometimes when you save the result of a tool it can generate features with duplicates in the "fid" field, for example when using the various "Join" tools. If you save it a te…
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I am trying to train StyleGAN on CelebA-HQ-256 dataset. The PyTorch FID decreases continuously as progressive growing reaches 128 resolution (it achieves around FID 19 for 128 resolution). But when it…
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I am working on AttnGAN. Do anyone have an idea regarsing Inceptio Score (IS) & Fretchet Inception Distance (FID) calculation?
ErSKS updated
4 years ago
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### 🐛 Describe the bug
Just use FrechetInceptionDistance on any images.
```python
import torch
from torcheval.metrics import FrechetInceptionDistance
imgs_1 = ...
imgs_2 = ...
fid = Frechet…
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I am training from scratch on all FFHQ dataset (70k), with `base learning rate` as 1.0e-06, and I use the `scale_lr=True` parameter.
1. But the training process seems very oscillating. With the s…