https://github.com/liuziwei7/fashion-detection

Fashion Detection in the Wild (Deep Clothes Detector)
https://github.com/liuziwei7/fashion-detection

clothes-detection clothes-detector computer-vision deep-learning vision-for-fashion

Last synced: about 2 months ago
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Fashion Detection in the Wild (Deep Clothes Detector)

• Host: GitHub
• URL: https://github.com/liuziwei7/fashion-detection
• Owner: liuziwei7
• Created: 2017-05-05T14:04:40.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-10-09T02:24:08.000Z (over 3 years ago)
• Last Synced: 2024-08-03T23:07:15.237Z (5 months ago)
• Topics: clothes-detection, clothes-detector, computer-vision, deep-learning, vision-for-fashion
• Language: MATLAB
• Homepage: https://liuziwei7.github.io/projects/DeepFashion.html
• Size: 16.4 MB
• Stars: 484
• Watchers: 29
• Forks: 110
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• Awesome-CoreML-Models - Fashion Detection

README

        
## Fashion Detection in the Wild (Deep Clothes Detector)

[[Project]](http://personal.ie.cuhk.edu.hk/~lz013/projects/DeepFashion.html) [[Paper]](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)   



## Overview

`Deep Clothes Detector` is a clothes detection framework based on [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn). Given a fashion image, this software finds and localizes potential *upper-body clothes*, *lower-body clothes* and *full-body clothes* in it, respectively. 



Further information please contact [Tingwu Wang](http://www.cs.toronto.edu/~tingwuwang/) and [Ziwei Liu](https://liuziwei7.github.io/).

## Requirements

* [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn)

* [EdgeBox](https://github.com/pdollar/edges)

* [Piotr's Computer Vision Toolbox](https://github.com/pdollar/toolbox)

## Getting started

* Install and compile the [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn), [EdgeBox](https://github.com/pdollar/edges) and [Piotr's Computer Vision Toolbox](https://github.com/pdollar/toolbox) libraries.

* Download the pre-trained model [fashion_detector.caffemodel](https://drive.google.com/file/d/0B7EVK8r0v71pUlZjeGZuNWZLaFU/view?usp=sharing&resourcekey=0-JolmdxQ_-MhjZBWA65NcKg):

``` bash

Place "fashion_detector.caffemodel" into "./models/" 

```

* Run the testing script:

``` bash

matlab ./demo.m

```

## Dataset

[Large-scale Fashion (DeepFashion) Database](http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html)

## License and Citation

The use of this software is RESTRICTED to **non-commercial research and educational purposes**.

```

@inproceedings{liu2016deepfashion,

 author = {Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang},

 title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations},

 booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

 month = {June},

 year = {2016} 

}

```