Megvii-BaseDetection / Megvii-BaseDetection/BEVDepth

BEV grid resolution

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Description

Hello dear blogger, thank you very much for your great work. I modified the corresponding parameters in the bev_stereo_lss_r50_256x704_128x128_24e_2key.py file according to this #146 for get 256x256 bev grid resolution. Specifically include
`backbone_conf:
1,x_bound: [-51.2, 51.2, 0.8]-->:[-51.2, 51.2, 0.4];
2, y_bound: [-51.2, 51.2, 0.8]-->:[-51.2, 51.2, 0.4];
bbox_coder:
1, out_size_factor=4 --> 2,
2, voxel_size=[0.2, 0.2, 8] --> [0.1, 0.1, 8];
train_cfg:
1, out_size_factor=4 --> 2,
2, voxel_size=[0.2, 0.2, 8] --> [0.1, 0.1, 8];
test_cfg:
1, out_size_factor=4 --> 2,
2, voxel_size=[0.2, 0.2, 8] --> [0.1, 0.1, 8];',Other than that there are no changes.
But there is no result at all, that is, mAP=0. In addition to this, do you need to modify the parameters? Or is there still something in the test code that needs to be modified?

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  3. Fork the repository and make your change on a branch.
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Research direction

Start with configs/bev_stereo_lss_r50_256x704_128x128_24e_2key.py and compare the changed backbone_conf, bbox_coder, train_cfg, and test_cfg values with issue #146. Then trace the test configuration and evaluation path to determine which settings affect the zero mAP result. Done means identifying the additional required changes or confirming the correct configuration for a 256x256 BEV grid.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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