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用于红外可见人员重新识别的特征束自解耦
Feature Bundle Self-disentanglement for Infrared-Visible Person Re-Identification
Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong
跨模态行人重识别,实现在RGB图像和近红外(infrared)图像之间的检索
在和RegDB上达到当前最优性能
在RegDB上,rank 1 = 74.02%,mAP = 70.51%;
rank1
mAP
RegDB
类别 | 名称 | 版本 |
---|---|---|
os | ubuntu | 16.04.4 |
深度学习框架 | pytorch | 1.0.1 |
名称 | 说明 |
---|---|
输入 | 红外图像 |
输出 | RGB图像 |
在terminal下运行以下命令:
#训练方法
python tools/train.py --config_file='configs/all.yml' MODEL.DEVICE_ID "('your device id')" OUTPUT_DIR "('your path to save checkpoints and logs')"
#测试方法
python test.py -data_dir <directory of processed data> --save_dir <directory of log and model>
用于红外可见人员重新识别的特征束自解耦
Text Python Shell other
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