Gait Recognition in the Wild: A Benchmark

GREW-BENCHMARCH

This repository contains the code for our ICCV 2021 paper Gait Recognition in the Wild: A Benchmark

GREW-BENCHMARK project is mainly maintained By Xianda Guo and Zheng Zhu.

For all main contributors, please check contributing.

Dataset

Download GREW datasets.

You can decompress the compressed package with the following command

unzip -P password train.zip (password 是要解压的密码 )
tar -xzvf train.tgz
cd train
ls *.tgz | xargs -n1 tar xzvf

Folder structure after decompression is as follows: