sukhitashvili/violence-detection

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

30
/ 100
Emerging

Built on vision-language model principles, it aligns image embeddings with textual descriptions to enable zero-shot generalization—users can detect custom scenarios by adding descriptive labels to `settings.yaml` without retraining. Supports 16+ configurable threat categories and integrates seamlessly into Python projects via a simple API, with optional Streamlit web interface for real-time frame-by-frame video analysis.

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 1 / 25
Community 20 / 25

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97

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26

Language

Jupyter Notebook

License

Last pushed

Dec 31, 2024

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