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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.
- Format:
-
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.
- Format:
Example of Submission Layout
submission.zip
├── compressed_005.zarr
├── segmentation_005.tiff
├── skeletons_005.zip
├── ...
├── compressed_009.zarr
├── segmentation_009.tiff
└── skeletons_009.zip
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To use the software, in the root directory, run
pip install -e .
image-compression-challenge is licensed under the MIT License.