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### Summary
`pack build` from an Apple M1 will fail when using an untrusted builder. With untrusted builders, the pack library will not use the builder's embedded `lifecycle` binary and instead at…
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Hi, @minar09 @thaithanhtuan thanks for the great work!
I was wondering why `parse_head` is different in GMM and TOM stage, shouldn't they be the same?
https://github.com/minar09/cp-vton-plus/blo…
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I download the author's model, and want to test with my cunstom image. First, I run the GMM model to get wrap-cloth, but I get the error as follow:
![image](https://user-images.githubusercontent.com…
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Trying to get pose for https://github.com/minar09/cp-vton-plus i used demo_body.py for pose, it did generate file but when using in vton this error comes up.
Any idea on the problem?
![image](https…
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# Description
Explain why we're running this and what we expect.
Testing multiple frames
Testing training with one frame?
Early Stop: ?
**Planned Start Date:** 9/4/2020
**Depends on Prev…
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I'm going to try cp-vton-plus with custom images
In dataset_neck_skin_correction.py, only custom images get the following error
Traceback (most recent call last):
File "dataset_neck_skin_corr…
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Namespace(batch_size=4, checkpoint='', checkpoint_dir='checkpoints', data_list='train_pairs.txt', datamode='train', dataroot='data', decay_step=100000, display_count=20, fine_height=256, fine_width=19…
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TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
This coming from File "/content/vton/utils/pose_utils.py", line 154, in save_img
img.ap…
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I tried to fine-tune the given checkpoints with custom data. I had prepared the required data pipeline after taking reference from the given training data. Although I kept everything in the `train.py`…