3D Object Tracking on the Waymo Open Dataset
An approach to 3D Object Tracking which is evaluated on segments on the Waymo Open Dataset. The approach is heavily influenced by Weng's Baseline for 3D Multi-Object Tracking.
Setup
Create a virtual environment and install dependencies
python3 -m venv venv
source venv/bin/active
pip install -r requirements.txt
Usage
Download a dataset segment (.tfrecord file) and run the tracker evaluation with
python main.py \
--tracker predictive \
--segment path/to/segment.tfrecord \
--dropout 0.2