-
On ne peut renseigner qu'un seul attribut, or, une BEV peut cumuler plusieurs problèmes.
Voir si on peut éclater les choses avec plusieurs attributs
- contraste
- implantions
- taille
-
Thank you for your work! I am wondering if I can use the local features output by the group convolutional network for registration between BEV images to get 2D pose?
-
```py
# bev_mask = bev_mask.permute(2, 1, 3, 0, 4).squeeze(-1)
bev_mask = bev_mask.permute(2, 1, 3, 0, 4)[..., 0]
```
-
有没有关于BEV算法的部署教程
-
我跑了一下,在
![image](https://github.com/HuangJunJie2017/BEVDet/assets/4549184/790a0734-7107-4bf0-be49-e648146cc6a0)
这个配置下,比那个原始的bevFusion慢一倍以上,怎么解决,bev_pool_v2感觉就是节省内存,但是花费的时间直接变长
-
I have tried exporting the onnx file of FB-OCC, but I face the following error during tracing at the custom op of `QuickCumsumCuda` specifically when `torch.onnx.export` while the feed-forward inferen…
-
### What's the feature?
Will mmdetection3d support bev-depth?
### Any other context?
_No response_
-
Hello, amazin work!!
I would like to extarct BEV/3D lanes from RGB images.
Do you think it is possible to get the BEV lanes from the image plane?
That would be really helpful since I would like to …
-
Hi,
I saw that you are using the GlobalRotScaleTrans data augmentation, but why do you not scale the BEV ground truth map in the LoadBEVSegmentation class as well? Is it on purpose or did you just fo…
-
When use g.op define layer, in torch.onnx.export, we can use `None` para as input.
```
import torch
class TRT_SCA(torch.autograd.Function):
@staticmethod
def forward(ctx,
…