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CONTRIBUTING.md

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Contribution Guide

Thanks for your interest in contributing. This project was released to create a unified framework for purposes of reproducing video anomaly detection methods, and beyond its publication there are limited plans for future development of the repository.

While we welcome new pull requests and issues please note that our response may be limited. Forks and out-of-tree improvements are strongly encouraged.

Before you get started

By submitting a pull request, you represent that you have the right to license your contribution to our organization - SKKU Automation Lab, and agree by submitting the patch that your contributions are licensed under the LICENSE.

We ask that all community members read and observe our Code of Conduct.