Science Score: 44.0%

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Repository

Basic Info
  • Host: GitHub
  • Owner: CVIU-CSU
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 4.65 MB
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  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
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Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Task-Aware Transformer For Partially Supervised Retinal Fundus Image Segmentation

Environment

This code is based on mmsegmentation

  • python == 3.8

  • Pytorch == 1.9.0

  • timm

  • imgviz

```shell conda create --name mmseg-v1rc python=3.8 -y conda activate mmseg-v1rc

conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=10.2 -c pytorch -y

pip install -U openmim mim install "mmengine==0.3.2" mim install "mmcv==2.0.0rc3"

git clone https://github.com/open-mmlab/mmsegmentation.git cd mmsegmentation git checkout -b 1rc2 v1.0.0rc2 pip install -v -e . -i https://pypi.douban.com/simple/

mim install "mmdet==3.0.0rc4" mim install "mmcls==1.0.0rc4"

pip install imgviz pip install timm pip install kornia==0.5.8 ```

Note that replacing mmengine, mmcv and mmdet in the environment directory lib/python3.8/site-packages with the given packages.

Dataset Preparations

Please see PSSNet/prepare_dataset

Training

shell bash mmsegmentation/tools/dist_train.sh mmsegmentation/configs/_mask2former_/mask2former_swin-t_4xb2-40k_multi_dataset-512x512_90query_6layer_mean_teacher_query_mask_random_shift_learn_generate_query_mask_feature_pseudo_factor.py 4

Evaluation

shell python mmsegmentation/tools/vis.py images_path ann_path 7 config_file_path checkpoint_path

Models

We provide the final model and training logs here

Citation

If you find it useful for your your research and applications, please cite using this BibTeX:

bibtex @inproceedings{zeng2024task, title={Task-Aware Transformer For Partially Supervised Retinal Fundus Image Segmentation}, author={Zeng, Hailong and Liu, Jianfeng and Liang, Yixiong}, booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, pages={1--8}, year={2024}, organization={IEEE} }

Owner

  • Name: CVIU-CSU
  • Login: CVIU-CSU
  • Kind: organization

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMSegmentation Contributors"
title: "OpenMMLab Semantic Segmentation Toolbox and Benchmark"
date-released: 2020-07-10
url: "https://github.com/open-mmlab/mmsegmentation"
license: Apache-2.0

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Dependencies

docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
requirements/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx_copybutton *
  • sphinx_markdown_tables *
requirements/mminstall.txt pypi
  • mmcls >=1.0.0rc0
  • mmcv >=2.0.0rc3,<2.1.0
  • mmdet >=3.0.0rc4
  • mmengine >=0.1.0,<1.0.0
requirements/optional.txt pypi
  • cityscapesscripts *
  • nibabel *
requirements/readthedocs.txt pypi
  • mmcv >=2.0.0rc0
  • mmengine *
  • prettytable *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • packaging *
  • prettytable *
  • scipy *
requirements/tests.txt pypi
  • codecov * test
  • flake8 * test
  • interrogate * test
  • pytest * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi