hdformer's Introduction

Intro

Code for HDFormer: High-order Directed Transformer for 3D Human Pose Estimation

Train

bash run_train.sh

Test

bash run_test.sh

The pretrained model of Human3.6M with 2D GT input can be found in checkpoints/model.

Dataset

Set the dataset path data_path in config/hdformer.yaml. Note that the Human3.6M dataset need licenses, the developer should apply for authorisation from Human3.6M.

Citation

@article{chen2023-hdformer,
  title = {HDFormer: High-order Directed Transformer for 3D Human Pose Estimation},
  author = {Chen, Hanyuan and He, Jun-Yan and Xiang, Wangmeng and Liu, Wei and Cheng, Zhi-Qi and Liu, Hanbing and Luo, Bin and Geng, Yifeng and Xie, Xuansong},
  year = {2023},
  eprint = {2302.01825},
  doi = {10.48550/arXiv.2302.01825},
}

@article{h36m_pami,
  author = {Ionescu, Catalin and Papava, Dragos and Olaru, Vlad and Sminchisescu, Cristian},
  title = {Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments},
  journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence}，
  publisher = {IEEE Computer Society}，
  year = {2014}
}

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hdformer's Issues

May I ask when the code will be open source, thank you very much！

Can you provide the processed dataset files?

When I tried to reproduce your code, I found that your code need the processed dataset files and it seems like you didn't provide it. Could you please provide these files?

Error reported by running sh command line

When I tried to use the run.sh command line, I just ran it and output the file, and didn't start training. The file structure is as follows

Dataset settings and code execution

Hello, may I ask what format is required for the dataset and what is required?Is the code running step just a command?Looking forward to your reply, thank you.

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