Comments (2)
Owen-Liuyuxuan
commented on July 18, 2024
Sorry for the late reply.
I just trained a new model using current code (some errors may occur related to contiguous tensors, but I have to look deeper into that before making public commit).
Here is the result at validation:
mean mae : 1.3309486414196072
mean rmse : 2.9350815975989972
mean inverse mae : 0.00470681552990103
mean inverse rmse : 0.007207281043113217
mean log mae : 0.06445663321755596
mean log rmse : 0.1023890602669587
mean scale invariant log : 0.09383321789658851
mean abs relative : 0.0633444312927093
mean squared relative : 0.011379228718697884The config and checkpoints:
http://gofile.me/4jm56/f3lCTDkce
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GFENGG
commented on July 18, 2024
Thank you for your time, this is helpful for me
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Related Issues (20)
- Dockerfile HOT 1
- cpu HOT 1
- Training on custom dataset with shifted camera angle HOT 1
- Template problem HOT 4
- Mismatch between 2D bbox and projected 3D bbox after affine transformation HOT 2
- Support for mono 3D random resize augmentation HOT 4
- A problem with pretrain dla model HOT 6
- Preprocessing another data HOT 7
- How to Create Custom DATA Like Kitti HOT 1
- How to build ops (deform convs and iou3d)?
- 运行./launchers/det_precompute.sh config/Stereo3D.py train时报错 HOT 5
- 请问大佬使用的双目匹配方法和stereo3d.md文件的作用 HOT 3
- 请问作者有没有检测视频和摄像头的代码 HOT 2
- About lack of dataset HOT 2
- which datasets to download？
- Inference on Nuscenes HOT 1
- The Version of pytorch /cuda HOT 1
- 自制的KITTI数据集训练闪退问题 HOT 3
- Problem with allocating memory (CUDA out of memory) HOT 2
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