Annotate quickly images.

Create 3D labelled bounding boxes in RViz

Easy description to run and evaluate Lego-LOAM with KITTI-data

This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accurate TLS point cloud as a reference map (this map should be accurate at least regarding the position of permanent elements such as walls and columns).

Face Video Segmentation - Face segmentation ground truth from videos

Easy description to run and evaluate A-LOAM with KITTI-data

Annotate quickly images.

Localizing the the digits in images from the Google SVHN (Street View House Numbers) dataset