Comments (6)
你好,
感谢分享代码!!!
为什么我用msmt17进行测试最后只得到了map数据,而没有得到生成的图片。
还有就是生成测试后的图片,对应着那部分的代码。 @ @CHENGY12
from apnet.
Thanks for your interest in our paper.
APNet is a discriminative model for the person ReID task. Given a benchmark (including MSMT), APNet extracts the features of both query and gallery images and matches them for evaluation. This evaluation process is not related to image generation. The details can be found in the paper. Hope you find it helpful.
from apnet.
不好意思我可能能没表达清楚,我想要的是数据可视化的代码。
from apnet.
@CHENGY12 Can you share the code for your visualization part? I really won't, thanks
from apnet.
@CHENGY12 Can you share the code for your visualization part? I really won't, thanks
Hello,
As mentioned in our paper, we used Grad-CAM to visualize the attention map. Please consider using the open-source implementation of Grad-CAM such as https://github.com/jacobgil/pytorch-grad-cam.
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@Gutianpei thank you
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Related Issues (11)
- There is only one SAMS layer when ap_level = 2? HOT 5
- APNet算法中cuhk03测试结果问题 HOT 4
- accuracy HOT 1
- The map of the datasets MSMT is different from that in the paper HOT 4
- The code in APNet/modeling/baseline.py does not match the description in Figure 2 HOT 5
- SAM part of the code HOT 1
- SAM fig2 HOT 2
- 关于APlevel=3时报错 HOT 1
- the code of spatial attention HOT 1
- 测试时加载模型 HOT 1
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from apnet.