sun-semseg
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 (0.2%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: main-2983
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 1.73 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 3 years ago
· Last pushed about 3 years ago
Metadata Files
Readme
License
Citation
README.md
Sun*AI Research Semantic Segmentation
Owner
- Login: main-2983
- Kind: user
- Repositories: 3
- Profile: https://github.com/main-2983
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
GitHub Events
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Dependencies
requirements/docs.txt
pypi
- docutils ==0.16.0
- myst-parser *
- sphinx ==4.0.2
- sphinx_copybutton *
- sphinx_markdown_tables *
requirements/mminstall.txt
pypi
- mmcls >=0.20.1
- mmcv-full >=1.4.4,<1.7.0
requirements/optional.txt
pypi
- cityscapesscripts *
requirements/readthedocs.txt
pypi
- mmcv *
- prettytable *
- torch *
- torchvision *
requirements/runtime.txt
pypi
- matplotlib *
- mmcls >=0.20.1
- numpy *
- packaging *
- prettytable *
requirements/tests.txt
pypi
- codecov * test
- flake8 * test
- interrogate * test
- pytest * test
- xdoctest >=0.10.0 test
- yapf * test