Comments (1)
Hi @a2082761
You could try demo.py first to use the trained model to retrieval?
It can specify the query image.
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Related Issues (20)
- 求解损失函数使用问题 HOT 8
- Could you please share an official torch or numpy implementation for GNN reranking? HOT 13
- 请问RandomGrayscaleErasing和RandomErasing是否可以同时使用来提升模型能力 HOT 2
- reid部署时模型输出的疑问 HOT 3
- RuntimeError: Error(s) in loading state_dict for ft_net_swin HOT 1
- 作者请问我如何在本项目中使用DG-market数据集进行训练和测试 HOT 6
- 请问可以在训练过程中添加RandomGrayscaleErasing的实现么 HOT 2
- Multi-camera tracking application HOT 1
- 关于提供的pretrained的ft_ResNet50的模型,在Market测试集上的指标Rank1只有0.755048?这是符合预期的吗?
- Intuitive Visualization and Prediction of The Remaining Time HOT 2
- How to use rstp pull inference? HOT 3
- swin训练问题 HOT 2
- 请问作者hrnet18的实现是用的这个github项目么→HRNet-Image-Classification HOT 1
- 请问,像人脸识别这样的任务,能用行人重识别来做吗?做跨摄像头的图像检索和匹配? HOT 2
- model运行时候一直出现错误 HOT 6
- 多卡训练自己数据集时卡在第一个batch就不动了 HOT 6
- Errors in tutorial HOT 6
- I want to add my data HOT 1
- veri数据集训练test问题
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