Megvii-BaseDetection / Megvii-BaseDetection/BEVDepth

some concepts that not appear at paper

Open
#40 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
881
Forks
124
PR merge metrics
No merged PRs in 30d

Description

hello! thanks for your great works!

when i go into source code, i found "sweep", "ida" and "bda". these maybe something we have not seen in LSS. can you kindly explain the meaning of the three concepts? thanks!

--- update ---

sorry for my not familiar with nuscenes data. i google and found sweep images are not annotated intermediate frames (the counterpart of annotated keyframe). maybe the first sweep image (index 0 of sweep axis) in your code is keyframe. is that correct?
but i still not know about "ida" and "bda". hope you can kindly make some explanation for them. thanks!

for example in LSSFPN

def forward(self,
                sweep_imgs,
                mats_dict,
                timestamps=None,
                is_return_depth=False):
        """Forward function.

        Args:
            sweep_imgs(Tensor): Input images with shape of (B, num_sweeps,
                num_cameras, 3, H, W).
            mats_dict(dict):
                # ...
                ida_mats(Tensor): Transformation matrix for ida with
                    shape of (B, num_sweeps, num_cameras, 4, 4).
                # ...
                bda_mat(Tensor): Rotation matrix for bda with shape
                    of (B, 4, 4).
            # ...
        """
        batch_size, num_sweeps, num_cams, num_channels, img_height, \
            img_width = sweep_imgs.shape
        # ... ...

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with LSSFPN.forward and the mats_dict docstring shown in the issue, then trace where sweep_imgs, ida_mats, and bda_mat are defined and used. Done means adding project documentation that explains sweep, ida, and bda, including the relationship between sweeps and keyframes, without requiring readers to infer their meanings from source code.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision, documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.