prs-eth / PCAccumulation

[ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation
https://shengyuh.github.io/pcaccumulation/index.html
MIT License
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Ground Truth Data Format #6

Closed plpalmer closed 1 year ago

plpalmer commented 1 year ago

Hi, thank you for the great project.

I would like to adapt other datasets to use with this Code but i am facing some issues in the GT generation.

Is there a timeline on when you plan to publish the preprocessing code or could you elaborate on the ground truth data format? Especially on what time indices represents the "current" frame and if the ego_motion_gt/bbox_tsfm represent the transformation between some previous and the current frame or between two adjacent frames.

Thanks in advance

RaymondByc commented 1 year ago

Hi, would you like to release the pre-process code this month?

Are there differences with FastFlow3D?

ShengyuH commented 1 year ago

@plpalmer hi, thank you for your interest in our project. Please excuse me for this super late reply, I will upload some scripts used for GT data generation now, they are not immediately runnable but contain most of the functions I used to create the dataset. As we mentioned in the paper, "We denote the first frame X 1 the target frame, while the remaining frames { X t | t > 1 } are termed source frames.", and ego_motion_gt/bbox_tsfm represent the transformation between some previous and the current frame.

@RaymondByc Please check the dataset_toolbox folder.

RaymondByc commented 1 year ago

thanks for your reply. I am checking your preprocessing code, but it seems that the code related to the "lidarrec_oracle" folder which obtains the "est_tsfm" label and "inst_labels" is missing.

I appreciate it if you upload related code.

ShengyuH commented 1 year ago

"lidarrec_oracle was used for other tasks and is not relevant to this project. I failed to mention that my preprocessing code is mostly based on the toolboxes provided by waymo and nuscene, I was mostly extracting the flow vectors from the odometry and tracking information and re-organising the dataset.

ShengyuH commented 1 year ago

close due to in-activity.