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rumi (python)

Python bindings for Rumi, stateless raster storage for AI4EO. Rumi stores images as (B, Y, X) and time series as (T, B, Y, X).

pip install rumi-eo

Rumi currently supports Linux and macOS and requires Python 3.11 or newer. The format and APIs may change before 1.0. See the project README for examples and the format specification for the wire format.

Reads return NumPy by default. PyTorch, JAX and TensorFlow results use DLPack; framework="dlpack" returns the one-shot producer itself. Compatibility is checked before opening the source, and Rumi never casts a dtype to make it fit.

On Linux, PyTorch can read straight into a CUDA tensor:

chip = rumi.read(path, header, framework="torch", device="cuda:0",
                 window=(row, column, height, width))

The header, byte ranges and copy plan stay on the CPU. Decoded samples remain on the selected GPU. GPU frame planning follows rumi.set_num_threads or RUMI_NUM_THREADS, set before the first read, and defaults to one thread per process. R and Julia device arrays are not implemented yet.

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Release files for rumi-eo 0.27.0a2

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rumi_eo-0.27.0a2-py3-none-manylinux_2_28_x86_64.whl Python 3 none Linux glibc 2.28+ x86-64 Details for rumi_eo-0.27.0a2-py3-none-manylinux_2_28_x86_64.whl
rumi_eo-0.27.0a2-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for rumi_eo-0.27.0a2-py3-none-macosx_11_0_arm64.whl

Total release size: 17.5 MB

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Download URL rumi_eo-0.27.0a2-py3-none-manylinux_2_28_x86_64.whl
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Tags Linux glibc 2.28+ x86-64 Python 3
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