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The benchmark experiments of paper "ReSGait: The real scene gait dataset".

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ReSGait: The real scene gait dataset | Code of Banchmark experiments

Paper| ReSGait Dataset

Citation

If the code or ReSGait dataset help your research, please cite :)

@inproceedings{resgait,
 title={{ReSGait}: The Real-Scene Gait Dataset},
 author={Zihao Mu and Francisco M. Castro and Manuel J. Mar\'in-Jim\'enez and Nicol\'as Guil and Yan-ran Li and Shiqi Yu},
 booktitle={International Joint Conference on Biometrics (IJCB 2021)},
 year={2021}
}

Overview

dataset image This repo is made for benchmark experiments of our paper ReSGait: The real scene gait dataset. This repo refers to [1] and [2]

Dataset Download

Dataset can be found at THIS LINK

Differences in label.csv

After downloading the dataset, mv the label.csv to this project ./data folder. And modify the label on the first line to make it easier to use.

from: 
VideoID,cloth,phoneUse,gender,carry,walkingRoute,SubjectID,ShootingDate

TO: 
ID,cloth,activity,gender,carry,path,id,date

And there is a given example at "./data/label_example.csv".

How to run?

First step: download and prepare the data set and labels as described pre.

Second step: change ./configs/config_example.yml and set your own training parameter.

Third step: set train.sh to your own config.yml

Final step: set your own testing parameter and run the test.sh.

Update

Benchmark experiments based on GaitSet will be open source as soon as possible. It will be available at https://github.com/zihaomu/GaitSet (Not finished.).

Reference of Code

[1] https://github.com/pudae/kaggle-hpa (BSD License.)

[2] https://github.com/AbnerHqC/GaitSet (non-commercial License.)

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