Media Summary: Ensembles with 3 Faster R-CNN with Inception-Resnet-V2 backbone is used for car Multiple Object Tracking KITTI Dataset Demo Implemented a ROS node for using the synced + rectified
Multiple Object Tracking Kitti Dataset Demo - Detailed Analysis & Overview
Ensembles with 3 Faster R-CNN with Inception-Resnet-V2 backbone is used for car Multiple Object Tracking KITTI Dataset Demo Implemented a ROS node for using the synced + rectified Multi object tracking and segmentation on KITTI dataset This is an implementation of YOLO v4 and Deep SORT on the Multi Object Tracking on KITTI training sequence 0020
A short video showing two (easy and difficult) MOT trials. This video takes a deep dive into metrics used for assessing trackers for The code is provided for the Pandaset, the video on Multiple object tracking (MOT) paradigm in EventIDE
