APACHE-2.0 License
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MMClassification is an open source image classification toolbox based on PyTorch. It is a part of the OpenMMLab project.
Documentation: https://mmclassification.readthedocs.io/en/latest/
This project is released under the Apache 2.0 license.
v0.19.0 was released in 31/12/2021.
Highlights of the new version:
v0.18.0 was released in 30/11/2021.
Highlights of the new version:
Please refer to changelog.md for more details and other release history.
Results and models are available in the model zoo.
As for a quick start, if the conda is available, one may directly run:
conda env create -n env.yml
conda env activate mmcls_project
pip install -e .
For details, you may refer to install.md for installation and dataset preparation.
Please see getting_started.md for the basic usage of MMClassification. There are also tutorials:
Colab tutorials are also provided. To learn about MMClassification Python API, you may preview the notebook here or directly run on Colab. To learn about MMClassification shell tools, you may preview the notebook here or directly run on Colab.
If you find this project useful in your research, please consider cite:
@misc{2020mmclassification,
title={OpenMMLab's Image Classification Toolbox and Benchmark},
author={MMClassification Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmclassification}},
year={2020}
}
We appreciate all contributions to improve MMClassification. Please refer to CONTRUBUTING.md for the contributing guideline.
MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers.