OpenGait is a flexible and extensible gait recognition project provided by the Shiqi Yu Group and supported in part by WATRIX.AI.
The workflow of All-in-One-Gait involves the processes of pedestrian tracking, segmentation and recognition. See here for details.
Distributed Data Parallel (DDP)
mode is used during both the training and testing phases.Auto Mixed Precision (AMP)
option is available.tensorboard
and logging
to log everything, which looks pretty.Please see 0.get_started.md. We also provide the following tutorials for your reference:
Results and models are available in the model zoo.
Open Gait Team (OGT)
@InProceedings{Fan_2023_CVPR,
author = {Fan, Chao and Liang, Junhao and Shen, Chuanfu and Hou, Saihui and Huang, Yongzhen and Yu, Shiqi},
title = {OpenGait: Revisiting Gait Recognition Towards Better Practicality},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2023},
pages = {9707-9716}
}
Note: This code is only used for academic purposes, people cannot use this code for anything that might be considered commercial use.
Author: ShiqiYu
Source: https://github.com/ShiqiYu/OpenGait