facebookresearch/co-tracker

Tracking Any Point (TAP)

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.

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.

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

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

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