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Hello @JessieW0806.
1. We have tested CLOCs on nuScenes, but we can not share it with you for now.
2. nuScenes has 10 classes. CLOCs is a very small network (similar size to a detection head in othe…
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When training 3D object detection on my dataset, the rot_loss is much larger than all other losses, is it normal ? Below is part of my training loss:
![2019-06-17 19-44-01屏幕截图](https://user-images.g…
jjldr updated
3 years ago
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## 🚀 Feature
It would be great if the backward pass of the rotated IoU CUDA module would be implemented, since this way one could train a detector to directly optimize it.
Moreover, recent papers i…
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**Check if issue already exists**
Created at the suggestion of @luxonis-eric
**Describe the bug**
I'm trying to optimize the speed at which I can track objects in 3D using an Oak-D-lite. This i…
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#ECCV2018 submittion
Institute: Valeo ?
URL: https://arxiv.org/pdf/1803.06199.pdf
Keywork: Velodyne based Detection
Interest: 5
@nlkim0817 ㅠㅠ
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### Actions before raising this issue
- [X] I searched the existing issues and did not find anything similar.
- [X] I read/searched [the docs](https://opencv.github.io/cvat/docs/)
### Steps to Repro…
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I see the function " evaluate3d_detection()" in file “evaluation.py ”. And I find that you obtain the 3D centres based on the 2d labels. Also, the objects' 3D sizes are related to the samples' label…
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These names appear in opt.py and in folder detectors.Could anybody tell me what are their precise meaning?Thanks in advance!
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HI,
@all I have a general doubt regarding velocity, How velocity is used in 3d object detection?
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Is there the implementation of the paper ?
I want to reproduce the results of this code, but I could't download the pretrained resnet model. Can you provide another download link? Thanks a lot :)