bychen7

感谢您的工作，我在用FaceStylor的过程中发现了一些问题： 1. 文档中没有写配置ninja的过程，所以如果按照文档在自己的机器中配置会出现一些问题，Colab里面是写了配置ninja； 2. https://github.com/open-mmlab/MMGEN-FaceStylor/blob/a72bb3b1ee6cff50e0edd62e5a823049c3c1cd82/README.md?plain=1#L35 ，这一行似乎有些歧义，我看中文文档里面是没有的； 3. https://github.com/open-mmlab/MMGEN-FaceStylor/blob/a72bb3b1ee6cff50e0edd62e5a823049c3c1cd82/README.md?plain=1#L90 ，这个url有点问题； 4. https://github.com/open-mmlab/MMGEN-FaceStylor/blob/a72bb3b1ee6cff50e0edd62e5a823049c3c1cd82/README.md?plain=1#L211 ，`layerSwap.py`的11行应该在15行后面，希望可以给个样例； 5. https://github.com/open-mmlab/MMGEN-FaceStylor/blob/a72bb3b1ee6cff50e0edd62e5a823049c3c1cd82/README.md?plain=1#L220 ，这里我理解应该是`blend_weights.py`吗？希望可以给个样例； 6. https://github.com/open-mmlab/MMGEN-FaceStylor/blob/a72bb3b1ee6cff50e0edd62e5a823049c3c1cd82/README.md?plain=1#L235 ，`dni.py`的11行应该在15行后面，希望可以给个样例； 7. https://github.com/open-mmlab/MMGEN-FaceStylor/blob/a72bb3b1ee6cff50e0edd62e5a823049c3c1cd82/README.md?plain=1#L250 , 希望可以给个样例； 希望MMGEN-FaceStylor越来越好！

question about parsenet

1

how many steps did you train? and what is the final loss?

Thanks for the code. I have some questions: Table2 in the paper, 1.What is the result of training optical flow only and what is the training script？ 2.How to get...

https://github.com/zhanghang1989/PyTorch-Encoding/blob/d9dea1724e38362a7c75ca9498f595248f283f00/encoding/datasets/pascal_voc.py#L24 In this folder,the image was color mask,but during training i saved mask image was class 1\~N,and i did't find any code to transform the color mask to class 1\~N,how...

Question about DMTet

6

Thank you for your code. Recently, while studying your work on the implementation of DMTet code, I have some questions and would appreciate your response. Specifically: https://github.com/NVlabs/nvdiffrec/blob/e7f2181b8a60eb8fedcdb4ad4d05bff3c0cf9bc1/geometry/dmtet.py#L23 - What is...

checkpoint seem broken.

2

this checkpoint([seg_swin_l_mixed_pretrained.pth](https://drive.google.com/file/d/1XKpm_VLLJ0mkgN9ZTDErG-4XuQHib_GK/view?usp=sharing)) seem broken. ```python import torch torch.load('seg_swin_l_mixed_pretrained.pth') Traceback (most recent call last): File "", line 1, in File "/home/chen/miniconda3/envs/sota/lib/python3.9/site-packages/torch/serialization.py", line 600, in load with _open_zipfile_reader(opened_file) as opened_zipfile: File "/home/chen/miniconda3/envs/sota/lib/python3.9/site-packages/torch/serialization.py",...