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我是在算力云平台跑的,但运行完一轮后报错:
Traceback (most recent call last):
File "tools/train.py", line 395, in
main()
File "tools/train.py", line 330, in main
da_segment_results,ll_segment_results,detect_results,…
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When I implemented your code and re-run it, I got different IoU values from the ones that you reported in the paper.
There is huge difference between these values i.e., you reported 78.17 IoU while I…
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Thanks for the awesome work!
I have a question about the console output during validation.
What do the numbers in parentheses represent, as shown in the log below (0.7825) and (0.7502) ?
_Aver…
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Hi , when I test the config of **flashocc-r50-4d-stereo**, the result is 38.07 :
```
===> per class IoU of 6019 samples:
===> others - IoU = 9.37
===> barrier - IoU = 46.72
===> bicycle - IoU …
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> Mean IoU: 0.0054892840770171146
> Mean precision: 0.00883236695325248
> Mean recall: 1.0
> Validation loss: 1.0013856360545526
>
> Epoch: 0, Train loss: 0.9933058513062341
> Mean IoU: 0.005…
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I have one question. The formula of (21)~(25) is the expression of IoU, but how to derive this IoU formula, especially $I_{0,3}$ and $I_{1,2}$.
![image](https://github.com/514flowey/JDet-cobb/assets/…
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Hi, in your paper, predicted boxes with IoU larger than 0.5 will be fed into IoUNet.
I have a question that did you have a try to set the threshold as 0.0? We will regard boxes with IoU>0.5 as positi…
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If you haven’t already, check out our [contributing guidelines](https://github.com/Expensify/ReactNativeChat/blob/main/contributingGuides/CONTRIBUTING.md) for onboarding and email contributors@expensi…
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您好,我在rtdetr论文中看到有关Uncertainty-minimal Query Selection的介绍,但是在代码介绍中看到的是IoU感知查询选择,请问这两个是相同的吗?还是后续的代码中采用了IoU感知查询选择而非Uncertainty-minimal Query Selection
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Hi, as for the evaluation metric, I think most of the current change detection field uses miou, but you use overall iou. When comparing models, I find that this leads to a much lower metric than other…