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implementation-cvpr2015-cnn-for-reid's Introduction

Implementation-CVPR2015-CNN-for-ReID

Notice:

Code for CUHK03 has already been updated. It should be able to be trained now. More detail see the README.

Test Environment:

  • Ubuntu 16.04
  • Python 2.7.12
  • TensorFlow 1.1
  • Keras 2.0
  • CUDA 8.0
  • cudnn 5.1
  • NVIDIA GTX 1080Ti

Things to do:

  • Add some comment to the code for CUHK03.
  • Refactor the Data Preparation and Training Routine part of the code.
  • Show the Test Result Form.
  • Share the trained model to reproduce the test result with Baidu Drive or Google Drive.
  • Same to the code for Market-1501.

Implementation for CVPR 2015 Paper: "An Improved Deep Learning Architecture for Person Re-Identification".

Paper link

This architechture is implemented based on Keras with Tensorflow backen using Python Programming Language.

Train the model on which dataset?

  1. Market-1501

  2. CUHK-03

The model structure

implementation-cvpr2015-cnn-for-reid's People

Contributors

ning-ding avatar baomingwang avatar prashanthbasani avatar

Watchers

James Cloos avatar Mohd Fitri Alif Bin Mohd Kasai avatar

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