cpi-parser
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: JosonChan1998
- License: apache-2.0
- Language: Python
- Default Branch: master
- Size: 13.4 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
CPI-Parser
Official implementation of CPI-Parser. It based on mmdetection.
Installation
- pytorch 1.10.0
- python 3.7.0
- mmdet 2.25.1
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
│ MHP-v2
│ │ ├─train_img
│ │ ├─train_parsing
│ │ ├─train_seg
│ │ ├─val_img
│ │ ├─val_parsing
│ │ ├─val_seg
│ │ │─annotations
|
├─work_dirs
| ├─causal_parser_r50_inter_8_135k_cihp
| | ├─epoch_75.pth
Results
CIHP
| Backbone | LR | mIOU | APvol | AP_p50 | PCP50 | download | |--------------|:----:|:----:|:-----:|:------:|:-----:|:--------:| | R-50 | 3x | 59.0 | 58.4 | 72.2 | 67.8 |model | | ConvNext-B | 3x | 66.5 | 63.1 | 80.9 | 74.6 |model |
MHP
| Backbone | LR | mIOU | APvol | AP_p50 | PCP50 | download | |--------------|:----:|:----:|:-----:|:------:|:-----:|:--------:| | R-50 | 3x | 38.1 | 45.8 | 39.0 | 49.9 |model | | ConvNext-B | 3x | 41.8 | 48.9 | 48.6 | 57.4 |model |
Evaluation
```
inference
CUDAVISIBLEDEVICES=0,1,2,3,4,5,6,7 ./tools/disttest.sh configs/COSParser/causalparserr50inter8135kcihp.py workdirs/causalparserr50inter8135kcihp/epoch75.pth 8 --eval bbox --eval-options "jsonfileprefix=workdirs/causalparserr50inter8135kcihp/causalparserr50inter8135kcihpvalresult"
eval, noted that should change the json path produce by previous step.
python utils/eval.py ```
Training
```
training
CUDAVISIBLEDEVICES=0,1,2,3,4,5,6,7 ./tools/disttrain.sh configs/COSParser/causalparserr50inter8135k_cihp.py 8 ```
Owner
- Name: JosonChan
- Login: JosonChan1998
- Kind: user
- Repositories: 2
- Profile: https://github.com/JosonChan1998
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
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- albumentations >=0.3.2
- cython *
- numpy *
- docutils ==0.16.0
- myst-parser *
- sphinx ==4.0.2
- sphinx-copybutton *
- sphinx_markdown_tables *
- sphinx_rtd_theme ==0.5.2
- mmcv-full >=1.3.17
- cityscapesscripts *
- imagecorruptions *
- scipy *
- sklearn *
- timm *
- mmcv *
- torch *
- torchvision *
- matplotlib *
- numpy *
- pycocotools *
- six *
- terminaltables *
- 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