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repparser

RepParser: End-to-End Multiple Human Parsing with Representation Parts

https://github.com/josonchan1998/repparser

Science Score: 57.0%

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    Low similarity (8.0%) to scientific vocabulary
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Repository

RepParser: End-to-End Multiple Human Parsing with Representation Parts

Basic Info
  • Host: GitHub
  • Owner: JosonChan1998
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 901 KB
Statistics
  • Stars: 7
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

RepParser

ReSParser: Fully Convolutional Multiple Human Parsing With Representative Sets

Installation

Dataset

You need to download the datasets and annotations follwing this repo's formate

Make sure to put the files as the following structure:

├─data │ CIHP │ │ ├─train_img │ │ ├─train_parsing │ │ ├─train_seg │ │ ├─val_img │ │ ├─val_parsing │ │ ├─val_seg │ │ │─annotations | ├─work_dirs | ├─resparser_r50_fpn_3x_cihp | | ├─epoch_75.pth

Results

CIHP

| Backbone | LR | mIOU | APvol | AP_p50 | PCP50 | download | |--------------|:----:|:----:|:-----:|:------:|:-----:|:--------:| | R-50 | 1x | 53.6 | 53.7 | 62.7 | 59.3 |model | | R-50 | 3x | 57.0 | 55.2 | 66.2 | 62.6 |model |

Evaluation

```

inference

CUDAVISIBLEDEVICES=0,1,2,3,4,5,6,7 ./tools/disttest.sh configs/ReSParser/resparserr50fpn3xcihp.py workdirs/resparserr50fpn3xcihp/epoch75.pth 8 --eval bbox --eval-options "jsonfileprefix=workdirs/resparserr50fpn3xcihp/resparserr50fpn3xcihpval_result"

eval, noted that should change the json path produce by previous step.

python utils/eval.py ```

Training

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 ./tools/dist_train.sh configs/ReSParser/resparser_r50_fpn_3x_cihp.py 8

Citation

``` @misc{chen2022repparser, title={RepParser: End-to-End Multiple Human Parsing with Representative Parts}, author={Xiaojia Chen and Xuanhan Wang and Lianli Gao and Jingkuan Song}, year={2022}, eprint={2208.12908}, archivePrefix={arXiv}, primaryClass={cs.CV} }

@ARTICLE{10138431, author={Dai, Yan and Chen, Xiaojia and Wang, Xuanhan and Pang, Minghui and Gao, Lianli and Shen, Heng Tao}, journal={IEEE Transactions on Multimedia}, title={ReSParser: Fully Convolutional Multiple Human Parsing With Representative Sets}, year={2024}, volume={26}, number={}, pages={1384-1394}, keywords={Pipelines;Task analysis;Kernel;Semantics;Pose estimation;Detectors;Crops;Multiple human parsing;human instance-level analysis;instance-aware modeling}, doi={10.1109/TMM.2023.3281070}} ```

Owner

  • Name: JosonChan
  • Login: JosonChan1998
  • Kind: user

SZU to UESTC

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

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Dependencies

requirements/albu.txt pypi
  • albumentations >=0.3.2
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • markdown <3.4.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
  • sphinx_rtd_theme ==0.5.2
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.17
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scipy *
  • sklearn *
  • timm *
requirements/readthedocs.txt pypi
  • mmcv *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • six *
  • terminaltables *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • protobuf <=3.20.1 test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi