CLI

MLArray includes a small command-line interface for common tasks such as inspecting file headers and converting existing image formats into MLArray. This is especially useful when you want to quickly verify metadata, debug a dataset, or batch-convert files without writing Python code.

The CLI currently focuses on core workflows (header inspection and conversion). Support for converting a wider range of image formats will be added over time.

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mlarray_header

Print the metadata header from a .mla or .b2nd file.

This command is useful for quickly checking spatial metadata, stored schemas, and other file-level information without loading the full array into memory.

mlarray_header sample.mla

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mlarray_convert

Convert a NIfTI or NRRD file to MLArray and copy metadata.

This provides an easy way to bring existing medical imaging data into an MLArray-based workflow while preserving the original metadata for downstream analysis and visualization.

mlarray_convert sample.nii.gz output.mla