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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 stars3,912118,046Highest
7-day net stars——
Fork6227,471Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2023-09-192026-11-03
Maintenance notesNot verifiedNot verified
Repository created2020-08-292022-02-03
License & use
LicenseApache-2.0 · PermissiveAGPL-3.0 · Share derivative source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeDesign & creationSelf-hosted services
TypeApps & systemsApps & systems
SubcategoryDesign & creationDesign & creation
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
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.High performance self-hosted photo and video management solution.
Measured at2026-11-03 09:38 UTC2026-11-03 08:24 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.