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Ommtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Popularity
Repository stars3,912135,047Highest
7-day net stars——
Fork62215,973Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2023-09-192026-11-02
Maintenance notesNot verifiedUnknown
Repository created2020-08-292020-01-02
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeDesign & creationDiagrams and whiteboards
TypeApps & systemsApps & systems
SubcategoryDesign & creationDesign & creation
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check hosted-service, model and infrastructure costs for the option you choose.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonTypeScript
About this projectOpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.Sketch diagrams, wireframes and ideas on a hand-drawn-style whiteboard.
Measured at2026-11-03 09:38 UTC2026-11-02 18:45 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.