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descriptron-sam3

SAM 3 for Descriptron: outline one or a few examples of a small structure (for example setae on a wing or genitalia), click on them, or type a word, and SAM 3 proposes every matching instance as a COCO file. The Descriptron GUI (descriptron-gui 2.5.1 and later) runs it from the dark green Find all instances (SAM 3) button and shows the instances together, one colour each, to be labelled in one step.

SAM 3 needs Python 3.12 and PyTorch >= 2.7, so install it in its own environment. pipx does that and puts the descriptron-sam3 command on your PATH, where the GUI finds it:

pipx install --python python3.12 descriptron-sam3

The SAM 3 checkpoints are gated: request access at https://huggingface.co/facebook/sam3 (SAM License), then log in once (pipx run --spec huggingface_hub hf auth login, or hf auth login in the environment). The first run downloads the checkpoint (3.3 GB). A CUDA GPU is strongly recommended.

descriptron-sam3 --images wings/ --text bristle --category seta --out setae.json
descriptron-sam3 --images wing1.tif --boxes "1200,800,1260,1100" --out setae.json
descriptron-sam3 --images wing1.tif --points "1520,4040,1" --points_mode each --tile 0 --out one_seta.json

Results are proposals to review in the GUI, not finished annotations. Examples work within the image they are drawn on; a word searches every image tile by tile. If the GUI cannot find the command, point it at the Python of the environment that has descriptron-sam3: DESCRIPTRON_SAM3_PYTHON=/path/to/python.

Licence: Apache-2.0 (see NOTICE for the CLIP vocabulary file and for SAM 3's own licence).

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Release files for descriptron-sam3 2.6.0

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