EdgeTAM for Core ML (Scut)

Meta's EdgeTAM, the on-device Track Anything Model (SAM 2 with a memory), converted to four compiled Core ML models. The Scut iOS video editor downloads them as an optional feature, Better cutout, which keeps the person you tap cut out through a clip.

Model	What it does
`EdgeTAMImageEncoder.mlmodelc`	encodes a frame
`EdgeTAMInitializer.mlmodelc`	seeds the track from a tap or a box
`EdgeTAMPropagator.mlmodelc`	carries the mask to the next frame from the memory
`EdgeTAMMemoryEncoder.mlmodelc`	writes a frame's mask into the memory

Source

Code: facebookresearch/EdgeTAM at 7711e012a30a2402c4eaab637bdb00a521302c91
Checkpoint: facebook/EdgeTAM at 14d7ecc48c656b94e5184519f698cd5386c5a2bf, edgetam.pt, SHA-256 ed2d4850b8792c239689b043c47046ec239b6e808a3d9b6ae676c803fd8780df
Converted from Meta's own code and checkpoint by Scut's tools/edgetam/convert.py and packaged by tools/edgetam/package.sh. These are not a third party's converted binaries.

The app fetches the files at a pinned commit of this repository and checks each file's size and SHA-256 before using it.

Licence

Apache License 2.0, © Meta Platforms, Inc. and affiliates. The converted models keep the licence of the code and checkpoint they were made from.

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