open-reid

Open source person re-identification library in python

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Open-ReID

Open-ReID is a lightweight library of person re-identification for research
purpose. It aims to provide a uniform interface for different datasets, a full
set of models and evaluation metrics, as well as examples to reproduce (near)
state-of-the-art results.

Installation

Install PyTorch (version >= 0.2.0). Although we support
both python2 and python3, we recommend python3 for better performance.

git clone https://github.com/Cysu/open-reid.git
cd open-reid
python setup.py install

Examples

python examples/softmax_loss.py -d viper -b 64 -j 2 -a resnet50 --logs-dir logs/softmax-loss/viper-resnet50

This is just a quick example. VIPeR dataset may not be large enough to train a deep neural network.

Check about more examples
and benchmarks.

Main metrics

Overview
Name With OwnerCysu/open-reid
Primary LanguagePython
Program languagePython (Language Count: 1)
Platform
License:MIT License
所有者活动
Created At2017-02-20 03:30:29
Pushed At2019-04-23 11:49:54
Last Commit At2017-12-08 07:09:58
Release Count0
用户参与
Stargazers Count1.4k
Watchers Count39
Fork Count350
Commits Count212
Has Issues Enabled
Issues Count91
Issue Open Count36
Pull Requests Count7
Pull Requests Open Count1
Pull Requests Close Count2
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