GitHub / Zhongdao / UniTrack
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zhongdao%2FUniTrack
PURL: pkg:github/Zhongdao/UniTrack
Stars: 346
Forks: 35
Open issues: 22
License: mit
Language: Python
Size: 62.7 MB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: 3 months ago
Pushed at: about 3 years ago
Last synced at: 2 months ago
Topics: multi-object-track, multi-object-tracker, multi-object-tracking, multi-object-tracking-segmentation, object-tracking, pose-tracking, single-object-tracking, tracking-by-detection, video-instance-segmentation, video-object-segmentation, video-object-tracking