MMFashion v0.1 is released.
Flexible: modular design and easy to extend
Friendly: off-the-shelf models for layman users
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
Install from pypi.
pip install mmfashion
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
Please refer to DATA_PREPARATION.md for the dataset specifics of
Please refer to MODEL_ZOO.md for a comprehensive set of pre-trained models in
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.