Comments (2)
- As far as I know, any backbone works but I have not tested it
- You can use/modify a data preparation file to work on your dataset. Personally I took the JHU file and modified it to work on my data
- The loss function is still not released
- I did not find early stopping in the script but it shouldn't be that hard to implement through pytroch. But again, I did not try this so I am not 100% sure
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Hello authors,
Thank you for the great work. I have the following queries in which I need your inputs, as I am trying to work on this crowd localization task.
May I check if there is an alternate backbone, say VGG has been released in this repository that can be used instead of the current backbone as it's slow while training a large number of images of my own custom dataset, or where do I refer it to
Let's say if my custom dataset having different scenes and of different resolution, can we just use the data preparation scripts (say NWPU) to generate the FIDT maps and supply in the training such that the longest size is not more than 2048
The loss function mentioned in the paper has been released already? Right now it's still MSE loss, like the general way
Also, is there any minimum validation loss to lookout to in general to decide the number of epochs or early stopping it
Thank you in advance for the response.
hello , have you tried this to implement?
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Related Issues (20)
- HRNet vs. VGG-16 HOT 1
- 视频测试出现问题 HOT 3
- 你好,代码似乎只用了L2 Loss没有用SSIM? HOT 2
- 1-SSIM 损失
- 请问XX_pred_fidt.txt这个预测位置的文档怎么生成,代码里好像没见有 HOT 1
- Has anyone deployed FIDTM in C++ HOT 2
- 请问可以提供下 nwpu 的generate代码吗 HOT 3
- Training on custom dataset HOT 2
- Huge or normal loss while training? HOT 2
- ISSIM-Loss HOT 1
- How to train on NWPU-Crowd dataset? Can you provide data preprocessing script? thank you HOT 1
- Real Time tracking / counting? HOT 6
- mat怎么生成?
- Testing & demo counts discrepancy HOT 1
- Testing issue HOT 2
- Is there a light weight version for crowd counting ? HOT 2
- Experimental result problem
- Question on JHU dataset
- Tracking not working as expected HOT 2
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