person_reID_DualNorm
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BJTUJia
This is the pytorch implementation of our BMVC 2019 paper "Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice"
HI, thanks for your god job, I want to download test set at https://drive.google.com/open?id=1-5JqXxqQ14MCngGLMPqiA-zbI2CUBFxV, you shared, but VIPeR is empty and PRID cam_a is empty too. Could you please reshare...
请问你自己的数据集可以运行了吗？gt的IIM生成了吗？run the provided pre-processed code to tackle the overlapping. 请问官方生成IIM的代码公布了吗？可以交流一下？
Hi, Could you please upload the items you shared on Baidu onto Google Drive? There's no language switch on Baidu and navigating it blindly always takes me to Baidu Drive...
Hi there, I am following your work but I do not know how to load the cuhk-sysu person seatch dataset. Could you please share with me your code to load...
Hi there, I am following your work but I do not know how to load the cuhk-sysu person seatch dataset. Could you please share with me your code to load...
Hi there, I am following your work but I do not know how to load the cuhk-sysu person seatch dataset. Could you please share with me your code to load...
Hi, thanks for sharing the code and pretrained model! I have a question regarding the usage of pretrained model. It seems that the structure of model in net_MobileNet_IFN.pth is different...
Hi, thanks for sharing the code. Can you please help clarify the specific running environments for training scripts, like PyTorch and CUDA version? I find it hard to reproduce your...
Hi, Thank you for sharing you code! Could you please clarify how to prepare the dataset folder?
您好 我使用您提供的resnet_o.py，在open-reid的框架上，使用5个source dataset进行训练和测试。 仅能够得到精度如下： PRID: 24； GRID: 20; VIPeR: 38； iLIDS：60 这远不如您在论文 Table 5 给出的resnet baseline的数据，请问您该baseline中，是否有额外的FC、dropout或者其他的设定，而导致能够得到如此高的精度？您是否是使用resnet_o.py中的def resnet50进行的实验？ 您在baseline的实验中，使用的loss是torch自带的CE吗？
