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i tried using the code with the dataset mentioned and the addons. my code is stuck at at this step. : "Jitting Chamfer 3D" i see just one file added...

Hi, thanks for your sharing. I found related codes using multiple gpus [here](https://github.com/zhaofang0627/AnchorUDF/blob/main/lib/net_util.py#L254), but not sure whether it works. I have tried it a few times, but the final reconstruction...

How to get reconstructed garment as shown in the results and anchor points ? When doing: python -m apps.eval_hd --results_path {path_of_output} --name {folder_of_output} --dataroot {path_of_dataset} --test_folder_path {folder_of_test_data, e.g., 290-1} --load_netMR_checkpoint_path...

gen_targets.py生成太慢了,希望能直接分享一下,真的非常感谢了。

@zhaofang0627 Hi! Thanks for your excellent research and implementation. However, when we try to reproduce the results following your instruction, we found the evaluation performance (on both training/test subsets) is...

您好,最近在阅读您的代码中发现数据及处理文件TrainDatasetDF3D.py中 ![017c11c8a5e78438a39d1fb101ec39b](https://user-images.githubusercontent.com/61148900/170954072-392e65ec-25fa-41a4-9c0c-9609dac2871b.png) 第265行中对应的udf值labels乘以缩放比例scale_intrinsic,可以请问这样做的含义是什么吗

是不是只有.png 和 .off 没有.obj格式的文件吗?感谢您。,。

![image](https://user-images.githubusercontent.com/41534222/167299787-4ed16984-3adf-4002-8779-abe587441ff5.png) 您好,我按照您的办法,在get_targets部分生成sigma分别为0.02 0.08 0.003 的npz文件,但是生成过程较慢,平均6分钟一个,随机无序生成,一个2000个左右的文件,请问这是正常的吗?

![微信图片_20220313145943](https://user-images.githubusercontent.com/72601089/158048983-bac2b199-1797-4d3e-abe3-9e9875120cdf.jpg)

The speed is slow when we train this interesting model. Could you tell the GPU parameters, for example the GPU card and memory?