LuckyDC / RGB-IR-ReID-Baseline

A Strong Baseline for RGB-Infrared Cross-Modality Person Re-Identification

A Strong Baseline for RGD-Infrared Cross-Modality Person Re-Identification

Dependency

• Python 3.7
• PyTorch 1.10
• Ignite 0.4.7
• Yacs

Utilization

Download SYSU-MM01 dataset and uncompress it. Change the entry data_root in configs/default.py to the path of the dataset. Put the rand_perm_cam.mat in exp directory in dataset root. This file is used to assign gallery items for each trial while testing. Run

CUDA_VISIBLE_DEVICES=0 python3 train.py configs/baseline.yml --work-dir work_dirs/baseline 

Performance

We evaluate the performance on SYSU-MM01 under the setting of one-shot & all-search.

model	mAP	rank-1	rank-5	rank-10	rank-20
baseline	54.60	57.51	82.77	90.05	95.28

Reference

L1aoXingyu/reid_baseline