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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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: RSIP-NJUPT
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 17.4 MB
Statistics
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
SPSNet
This an official Pytorch implementation of our paper "SPSNet: A Selected Pyramidal Shape-constrained Network for SAR Small Target Detection".
Installation
Step 1: Create a conda environment
shell
conda create --name SPSNet python=3.9
conda activate SPSNet
Step 2: Install PyTorch 2.0.1+CU118
shell
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
Step 3: Install OpenMMLab codebases
```shell
openmmlab codebases
pip install -U openmim dadaptation --no-input mim install mmengine "mmcv>=2.0.0" "mmdet>=3.0.0" "mmsegmentation>=1.0.0" "mmrotate>=1.0.0rc1" mmyolo
heatmap generation dependencies
pip install grad-cam
other dependencies
pip install ninja --no-input pip install scikit-learn pip install psutil ```
Step 4: Install SPSNet
Note: make sure you have cd to the root directory of SPSNet
shell
python setup.py develop
Owner
- Name: RSIP-NJUPT
- Login: RSIP-NJUPT
- Kind: organization
- Repositories: 1
- Profile: https://github.com/RSIP-NJUPT
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - name: "SPSNet Contributors" title: "SPSNet Toolbox and Benchmark" date-released: 2023-10-9 url: "https://github.com/RSIP-NJUPT/SPSNet.git" license: Apache-2.0
GitHub Events
Total
- Issues event: 1
- Watch event: 2
- Issue comment event: 1
Last Year
- Issues event: 1
- Watch event: 2
- Issue comment event: 1
Dependencies
- 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
- urllib3 <2.0.0
- mmcv >=2.0.0rc4,<2.1.0
- mmengine >=0.7.1,<1.0.0
- nltk *
- pycocoevalcap *
- transformers *
- cityscapesscripts *
- imagecorruptions *
- scikit-learn *
- mmcv >=2.0.0rc4,<2.1.0
- mmengine >=0.7.1,<1.0.0
- scipy *
- torch *
- torchvision *
- urllib3 <2.0.0
- matplotlib *
- numpy *
- pycocotools *
- scipy *
- shapely *
- six *
- terminaltables *
- asynctest * test
- cityscapesscripts * test
- codecov * test
- flake8 * test
- imagecorruptions * test
- instaboostfast * test
- interrogate * test
- isort ==4.3.21 test
- kwarray * test
- memory_profiler * test
- nltk * test
- onnx ==1.7.0 test
- onnxruntime >=1.8.0 test
- parameterized * test
- prettytable * test
- protobuf <=3.20.1 test
- psutil * test
- pytest * test
- transformers * test
- ubelt * test
- xdoctest >=0.10.0 test
- yapf * test
- mmpretrain *
- motmetrics *
- numpy <1.24.0
- scikit-learn *
- seaborn *