pysauron
[WIP] A collection of datasets for video anomaly detection
Science Score: 26.0%
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○CITATION.cff file
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✓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 (3.0%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
[WIP] A collection of datasets for video anomaly detection
Basic Info
- Host: GitHub
- Owner: KyloRen1
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://kyloren1.github.io/PySauron/
- Size: 5.94 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 3
- Releases: 2
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
License
Citation
README.md
PySauron
PySauron is a torch library for anomaly detection offering: - torchvision-like API for datasets, transforms - curated library of anomaly detection datasets
Running test
python
pytest --verbose --disable-warnings
TODO
- [x] Datasets: UCF-Crime, Avenue, XD-Violence, ShanghaiTech
- [x] Augmentation: RandomInject, FrameDrop, ChangeDirection
- [x] Test transforms
Owner
- Name: Bogdan Ivanyuk
- Login: KyloRen1
- Kind: user
- Location: Kyiv, Ukraine
- Company: somewhere
- Repositories: 2
- Profile: https://github.com/KyloRen1
GitHub Events
Total
Last Year
Packages
- Total packages: 1
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Total downloads:
- pypi 12 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
pypi.org: pysauron
A collection of datasets for video anomaly detection
- Homepage: https://github.com/KyloRen1/PySauron
- Documentation: https://pysauron.readthedocs.io/
- License: MIT License Copyright (c) 2023 Bogdan Ivanyuk-Skulskiy Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 0.0.3
published almost 2 years ago
Rankings
Dependent packages count: 10.6%
Average: 35.1%
Dependent repos count: 59.6%
Maintainers (1)
Last synced:
10 months ago
Dependencies
.github/workflows/build_docs.yml
actions
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.github/workflows/release.yml
actions
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.github/workflows/run_tests.yml
actions
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docs/requirements.txt
pypi
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- mkdocs-material ==7.3.6
- mkdocs_include_exclude_files ==0.0.1
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pyproject.toml
pypi
setup.py
pypi
test/requirements.txt
pypi
- Pillow ==10.1.0 test
- numpy ==1.26.4 test
- pytest ==7.4.4 test
- scipy ==1.11.4 test
- torch ==2.1.0 test
- torchvision ==0.16.0 test