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Multi Model 3D Object Tracker

A 3D object tracker for pre-computed detections, currently based on Kalman Filter.

Installation

We strongly recommend to use conda environments since the dataset APIs require incompatible python versions!

Usage Examples

Fake data

If you don't have any pre-computed detection results run an example for on-the-fly generated fake data.

python run.py fake

Argoverse (ArgoAI)

For the Argoverse dataset you may download the detection results of coming soon. Use wildcards to define a list of input files. Replace $DATAROOT with where ever you used to store all the data.

python run.py argoverse \
	--inputfiles '$DATAROOT/results/agroverse_detections_2020/validation/*/*/*.json' \
	--groundtruth '$DATAROOT/argoverse-tracking/val/*/per_sweep_annotations_amodal/*.json'