KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#developer-tools #codex #typescript #claude-code #dsh #dsh-plugin #ai-agents #deepseek-harness #ai-agent #mcp #macos #cli

PyAnomaly

★ 110 Open GitHub ↗

Useful Toolbox for Anomaly Detection

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

![logo](https://raw.githubusercontent.com/YuhaoCheng/PyAnomaly/master/docs/Logo.jpg)
---
### Introduction
PyAnomaly is the open-source tool for anomaly detection, which provides a tool for researchers and engineers to accelerate their study and development.

More introduction of the toolbox is in [INTRO](./docs/intro.md)

~~**!!!!Attention: The new version will be available at May, 2021**~~

The new version will be released on [YuhaoCheng/PyAnomaly2](https://github.com/YuhaoCheng/PyAnomaly2)  and the repo is still under the developing. I will make it as soon as possible. Thanks for you attention.

### News

- [Dec 2020] Add the API document, please refer to [API](./docs/api.md) for more information 
- [Nov 2020] Change the methods to get model, make it much easier to use
- [Jun 2020] The repo is open!!

**Note: For the detailed changing logs, please refer to the [CHANGE](./docs/change_log.md)**

### Install

Please refer to the [INSTALL](./docs/install.md)

### Usage 
Specifically usage please refer to [USAGE](./docs/usage.md)

The introduction of some useful tools is in [TOOLS](./docs/tools.md)

The API document is in [API](./docs/api.md)

### License
This project is released under the [Apache 2.0 license](./LICENSE).

### Citation

```
@inproceedings{pyanomaly,
author = {Cheng, Yuhao and Liu, Wu and Duan, Pengrui and Liu, Jingen and Mei, Tao},
title = {PyAnomaly: A Pytorch-Based Toolkit for Video Anomaly Detection},
year = {2020},
publisher = {Association for Computing Machinery},
booktitle = {Proceedings of the 28th ACM International Conference on Multimedia},
pages = {4473–4476},
keywords = {open-source, toolkit, video anomaly detection},
location = {Seattle, WA, USA},
}
```

PyAnomaly

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README