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Image Compression Challenge

License Code Style semantic-release: angular Interrogate Coverage Python

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Prepare Submission

After running your image compression algorithm on the test dataset: block_005, block_006, block_007, block_008, block_009; submit your results in a single ZIP archive with the following files:

  • Compressed Images

    • Format: Any
    • Filename: compressed_{num}.{extension}
  • Segmentations

    • Format: .tiff
    • Filename: segmentation_{num}.tiff
    • Generate segmentations using the provided model ([download here](insert link)).
    • Use the aind-exaspim-neuron-segmentation repository to compute affinity maps, and convert them to segmentations by following the Predict section of the README with default inference.predict parameters.
  • SWCs

    • Format: .zip
    • Filename: skeletons_{num}.zip
    • Must be generated from the segmentations by following the final step in the “Predict” section of the repository’s README.

Example of Submission Layout

  submission.zip
  ├── compressed_005.zarr
  ├── segmentation_005.tiff
  ├── skeletons_005.zip
  ├── ...
  ├── compressed_009.zarr
  ├── segmentation_009.tiff
  └── skeletons_009.zip

Score Submission

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Installation

To use the software, in the root directory, run

pip install -e .

License

image-compression-challenge is licensed under the MIT License.

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