Comments (16)
map and nds are normal, bev projection is normal, and z prediction is poor
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There is no problem with the visualization code. The visualization of the official model is completely normal. Such problems will occur with the retrained model
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It seems ok when I use the '--show' in tools/test.py. The predicted bounding boxes of BEVDet are tightly surrounding the lidar points of the targets.
from bevdet.
It seems ok when I use the '--show' in tools/test.py. The predicted bounding boxes of BEVDet are tightly surrounding the lidar points of the targets.
There is no problem with Bev, but the accuracy of Z cannot be seen
from bevdet.
It seems ok when I use the '--show' in tools/test.py. The predicted bounding boxes of BEVDet are tightly surrounding the lidar points of the targets.
The officially provided model visualization is normal, but the Z error will be large after retraining, but this will not affect the map and NDS
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@abing222 The z prediction seems ok in my visualization.
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@abing222 The z prediction seems ok in my visualization.
There is no error in the provided model, and Z prediction is normal, but Z will have a large error if the model is retrained
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@abing222 I got it, you mean there is something wrong with the training process. I will check this.
from bevdet.
@abing222 I got it, you mean there is something wrong with the training process. I will check this.
thank you
I have checked the bbox and camera external parameters after Bev enhancement, and there is no problem, that is, GT is no problem
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@abing222 What configuration do you use for retraining, bevdet or the bevdet4d?
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@abing222 What configuration do you use for retraining, bevdet or the bevdet4d
bevdet tiny
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@abing222 What configuration do you use for retraining, bevdet or the bevdet4d
bevdet tiny
got it
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@abing222 may I have your training log? [email protected]
from bevdet.
@abing222 may I have your training log?
@abing222 may I have your training log? [email protected]
yes
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同样碰到了类似的问题,不知道作者有没有碰到,嘻嘻。
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@MandyMo It seems like some false positive result, i suggest you to use a higher score threshold~
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Related Issues (20)
- lidar supervision
- bev_pool_v2 算子 转onnx时候报shape错误 HOT 2
- Camera intrinsic matrixes cam2imgs not adapted to the input size in get_lidar_coor(...) HOT 2
- DAL将图像的backbone从res18增大到res34,发现指标上没有明显变化。 HOT 1
- There's no pretrained model for DAL-tiny
- How to run a test set and upload the results to nuscenes.org? HOT 1
- 收到一封 [email protected]的诈骗邮件 HOT 2
- 当对训练模型进行可视化的时候,检测框出现错位现象。 HOT 4
- 矩阵计算
- dockerfile error HOT 2
- dataset is too big
- 自采数据集推理 HOT 3
- 问题请教
- dataset error
- 关于ego坐标系的时间
- 关于 --no-validate HOT 1
- bev_pool_v2怎么比v1慢很多 HOT 4
- How to visualize the predicted depth map?
- Checkpoints for dev2.1
- downsample=8 HOT 2
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