Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

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ncnn is a high-performance neural network inference framework optimized for the mobile platform

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

PyTorch code and models for the DINOv2 self-supervised learning method.