MMFashion is an open source visual fashion analysis toolbox based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Lab, CUHK.
[2019-11-01] MMFashion v0.1 is released.
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Flexible: modular design and easy to extend
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Friendly: off-the-shelf models for layman users
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Comprehensive: support a wide spectrum of fashion analysis tasks
- Fashion Attribute Prediction
- Fashion Recognition and Retrieval
- Fashion Landmark Detection
- Fashion Parsing and Segmentation
- Fashion Compatibility and Recommendation
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Install from pypi.
pip install mmfashion
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Install from source.
git clone https://github.com/open-mmlab/mmfashion.git python setup.py install
Please refer to GETTING_STARTED.md for the basic usage of MMFashion.
Please refer to DATA_PREPARATION.md for the dataset specifics of MMFashion.
Please refer to MODEL_ZOO.md for a comprehensive set of pre-trained models in MMFashion.
We appreciate all contributions to improve MMFashion. Please refer to CONTRIBUTING.md for the contributing guideline.
This project is released under the Apache 2.0 license.
- Xin Liu (veralauee)
- Jiancheng Li (lijiancheng0614)
- Jiaqi Wang (myownskyW7)
- Ziwei Liu (liuziwei7)