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facebookresearch/segment-anything

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.

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Please check out our new release on Segment Anything Model 2 (SAM 2). SAM 2 code: https://github.com/facebookresearch/segment-anything-2 SAM 2 demo: https://sam2.metademolab.com/ SAM 2 paper: https://arxiv.org/abs/2408.00714 *Segment Anything Model 2 (SAM 2) is a foundation model towards solving promptable visual segmentation in images and videos. We extend SAM to video by considering images as a video with a single frame. The model design is a simple transformer architecture with streaming memory for real-time video processing. We build a model-in-the-loop data engine, which improves model an…

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