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Ⓜ️ BIIGLE module for the Magic SAM image annotation instrument

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biigle/magic-sam

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BIIGLE Magic SAM Module

Test status

This is a BIIGLE module that offers the Magic SAM image annotation instrument.

Installation

  1. Run composer require biigle/magic-sam.
  2. Run php artisan vendor:publish --tag=public to refresh the public assets of the modules. Do this for every update of this module.
  3. Configure a storage disk for the image embedding files. Set the MAGIC_SAM_EMBEDDING_STORAGE_DISK variable in the .env file to the name of the respective storage disk. The content of the storage disk should be publicly accessible. Example for local disks:
    'magic-sam' => [
        'driver' => 'local',
        'root' => storage_path('app/public/magic-sam'),
        'url' => env('APP_URL').'/storage/magic-sam',
        'visibility' => 'public',
    ],
    This requires the link storage -> ../storage/app/public in the public directory.

Configuration

Image embeddings are computed in jobs submitted to the default on the CPU. They require a queue worker Docker container that satisfies the Python requirements of this repository. Embeddings can be computed much faster on a GPU. You can cnfigure the queue name with the MAGIC_SAM_REQUEST_QUEUE and the device (cpu or cuda) with the MAGIC_SAM_DEVICE environment variables.

Image embedding files are automatically deleted after 30 days. You can configure this with the MAGIC_SAM_PRUNE_AGE_DAYS environment variable.

References

Reference publications that you should cite if you use Magic SAM for one of your studies.

Developing

Take a look at the development guide of the core repository to get started with the development setup.

Want to develop a new module? Head over to the biigle/module template repository.

Contributions and bug reports

Contributions to BIIGLE are always welcome. Check out the contribution guide to get started.