google-deepmind/tapnet

CoTracker is a model for tracking any point (pixel) on a video.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

JoyAI-VL-Interaction: An Open Real-time Video-Language Interaction System

Lightweight Python library for adding real-time multi-object tracking to any detector.

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"