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Hello, I trained GMM to work with bottom clothes according to issue #65 and #92, I used 1000 images and 200 000 steps
 contains significant artifacts. Just attaching here first …
snarb updated
4 years ago
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Since the clothflow,this was the other job on appearance warping,awesome!
And how is your FID(10.09) calculated? The test dataset has 2032 clothing images, there are countless kinds of try-on possi…
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I followed the steps in the readme and ran the test in command line as
```
python test.py --name GMM --stage GMM --workers 1 --datamode test --data_list test_pairs.txt --checkpoint checkpoints/GMM/…
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I wanted to know how did you calculate Warped Blended (IoU), SSIM, LPIPS, IS metrics for quantitative evaluation and where exactly did you implement in the code for quantitative evaluation?
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I clone the repo, and then create an anaconda environment
I then type in python test.py
I have checkpoints
── GMM
│ └── gmm_final.pth
└── TOM
└── tom_final.pth
My traceback looks like
…
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Hi there. I wanted to use your code to create a binary mask for a white cloth on a white background image; however, I only got an absolutely black mask image and I couldn't see the cloth at all. Could…
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conda install pytorch=0.4.1 torchvision=0.2.1 -c pytorch not working
Result:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Ret…