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pytorch_jppnet's Introduction

Pytorch_JPPNet

JPPNet implementation with Pytorch

Citation

@article{liang2018look,
  title={Look into Person: Joint Body Parsing \& Pose Estimation Network and a New Benchmark},
  author={Liang, Xiaodan and Gong, Ke and Shen, Xiaohui and Lin, Liang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2018},
  publisher={IEEE}
}

@InProceedings{Gong_2017_CVPR,
  author = {Gong, Ke and Liang, Xiaodan and Zhang, Dongyu and Shen, Xiaohui and Lin, Liang},
  title = {Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = {July},
  year = {2017}
}

Related work

  • Self-supervised Structure-sensitive Learning SSL, CVPR2017
  • Instance-level Human Parsing via Part Grouping Network PGN, ECCV2018
  • Graphonomy: Universal Human Parsing via Graph Transfer Learning Graphonomy, CVPR2019

pytorch_jppnet's People

Contributors

ocean-joo avatar minglee68 avatar

Stargazers

YeChongjie avatar Jian Wang avatar  avatar UMEI avatar Guan Zhong avatar  avatar Xianing Chen avatar  avatar

Watchers

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Forkers

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pytorch_jppnet's Issues

Request for pre-trained model

Hi, I'm interested about this pytorch implementation.
But it seems like I cannot download weights (pre-trained models) from dropbox.
I would appreciate it if you can upload a new one.
Thx!

parameters files

Hello, I planed to train a JPPNet model with pytorch, recently. Fortunately, I happened to find this repo,thanks very much. However, after I downloaded the LIP dataset and tried to run "train.py", it told me that the "parameters" files is missing:

backbone.load_state_dict(torch.load("parameters/backbone_parameter.pt"))
parsing_net.load_state_dict(torch.load("parameters/parsing_net_parameter.pt"))
parsing_refine.load_state_dict(torch.load("parameters/parsing_refine_net_parameter.pt"))
pose_net.load_state_dict(torch.load("parameters/pose_net_parameter.pt"))
pose_refine.load_state_dict(torch.load("parameters/pose_refine_net_parameter.pt"))

So may I ask how can I download the parameters, your responce will be greatly appreciated!

Pytorch and Torchvision version

Hello, I'm interested about this implementation.
But I got a problem about the version of pytorch and torchvision.
So may I ask what the version of these two modules are?

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