yangchris11/samurai

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.

Tracking Any Point (TAP)

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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.

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

End-to-End Object Detection with Transformers