Awesome
Introduction
This is the source code of our CVPR 2024 paper "Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification". Please cite the following paper if you use our code.
Zhenyu Cui, Jiahuan Zhou, Xun Wang, Manyu Zhu and Yuxin Peng, "Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification", 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, June 17 - 21, 2024.
Dependencies
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Python 3.7
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PyTorch 1.13.1
Data Preparation
- Please follow PatchKD to download datasets and unzip them to your data path.
Environment Preparation
- Please follow PatchKD to prepare the execution environment.
Usage
- Start training by executing the following commands.
-
For Order-1:
- Train:
CUDA_VISIBLE_DEVICES=0 python train1.py
- Test:
CUDA_VISIBLE_DEVICES=0 python test1.py
- Train:
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For Order-2:
- Train:
CUDA_VISIBLE_DEVICES=1 python train2.py
- Test:
CUDA_VISIBLE_DEVICES=1 python test2.py
- Train:
For any questions, feel free to contact us (cuizhenyu@stu.pku.edu.cn).
Welcome to our Laboratory Homepage for more information about our papers, source codes, and datasets.
Acknowledgement
Our code is based on the PyTorch implementation of PatchKD.