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
!!!!Attention: The new version will be available at May, 2021
The new version will be released on 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 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
Install
Please refer to the INSTALL
Usage
Specifically usage please refer to USAGE
The introduction of some useful tools is in TOOLS
The API document is in API
License
This project is released under the Apache 2.0 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},
}