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Open-source toolbox for visual fashion analysis based on PyTorch

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MMFashion

Introduction

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.

Updates

[2019-11-01] MMFashion v0.1 is released.

Features

  • 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

Requirements

Installation

  1. Install from pypi.

    pip install mmfashion
  2. Install from source.

    git clone https://github.com/open-mmlab/mmfashion.git
    python setup.py install

Get Started

Please refer to GETTING_STARTED.md for the basic usage of MMFashion.

Data Preparation

Please refer to DATA_PREPARATION.md for the dataset specifics of MMFashion.

Model Zoo

Please refer to MODEL_ZOO.md for a comprehensive set of pre-trained models in MMFashion.

Contributing

We appreciate all contributions to improve MMFashion. Please refer to CONTRIBUTING.md for the contributing guideline.

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License

This project is released under the Apache 2.0 license.

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