Megvii-BaseDetection / Megvii-BaseDetection/BEVDepth
mats_dict['ida_mats'][:, 0, :, 0, 0]这里用了2次[0,0],是不是应该还有个是[1,1]
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 881
- Forks
- 124
- PR merge metrics
- No merged PRs in 30d
Description
https://github.com/Megvii-BaseDetection/BEVDepth/blob/d78c7b58b10b9ada940462ba83ab24d99cae5833/bevdepth/layers/backbones/fusion_lss_fpn.py#L62
这里两个都是[0,0]有问题吗?
aug_scale = torch.sqrt(mats_dict['ida_mats'][:, 0, :, 0, 0]**2 +
mats_dict['ida_mats'][:, 0, :, 0,
0]**2).reshape(-1, 1)
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Read bevdepth/layers/backbones/fusion_lss_fpn.py around line 62 and trace how ida_mats is constructed and used. Confirm whether the repeated [0, 0] selects the intended matrix components; the issue is done when the indexing is verified and corrected if necessary.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100