FairMOT-X
Project Overview
FairMOT-X is a multi-class multi object tracker, which has been tailored for training on the BDD100K MOT Dataset. It makes use of YOLOX as the detector from end-to-end, and uses DCN to perform feature fusion of PAFPN outputs to learn the ReID branch. This repo is a work in progress.
Acknowledgement
This project heavily uses code from the the original FairMOT, as well as MCMOT and YOLOv4 MCMOT.
