eval-ab-3d-mot 2.0.0

Evaluation for the Pure AB-3D-MOT.

Evaluation of a base of 3D multiple-object tracking (AB3DMOT)

Evaluation part of the AB3DMOT by Xinshuo Weng (https://github.com/xinshuoweng/AB3DMOT) The purpose of the package is to enable calculation of the detection+tracking quality metrics for 3D tracking with KITTI data set.

Apart from the refactored evaluation part of the AB3DMOT, a binary classifier of the association outcomes is included. The corresponding CLI needs to be implemented still.

Installation

Should be as easy as pip install eval-ab-3d-mot, but if you downloaded the repo, then uv sync standing in the root folder.

Download the detections & annotations

Should be as easy as

git clone https://github.com/kovalp/eval-ab-3d-mot.git

The detections (R-CNN) and annotations (training subset of KITTI) are now in the folder eval-ab-3d-mot/assets.

Command-line scripts

The command-line scripts are equipped with --help option which should be sufficient to learn their usage.

Batch run the pure AB-3D-MOT tracker

batch-run-ab-3d-mot assets/detections/kitti/point-r-cnn-training/car/*.txt

Batch evaluation of the pure AB-3D-MOT tracker

batch-eval-ab-3d-mot assets/annotations/kitti/training/*.txt