This release is a pre-release and may not be stable for production use.
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.
PyTorch can read straight into a CUDA tensor on Linux or an MPS tensor on macOS:
chip = rumi.read(path, header, framework="torch", device="cuda:0",
window=(row, column, height, width))
mps_chip = rumi.read(path, header, framework="torch", device="mps",
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.
1 maintainer
Metadata
1 maintainer
Release files for rumi-eo 0.27.0a3
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Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rumi_eo-0.27.0a3-py3-none-manylinux_2_28_x86_64.whl | Python 3 | none | Linux glibc 2.28+ x86-64 | Details for rumi_eo-0.27.0a3-py3-none-manylinux_2_28_x86_64.whl |
| rumi_eo-0.27.0a3-py3-none-macosx_11_0_arm64.whl | Python 3 | none | macOS 11.0+ ARM64 | Details for rumi_eo-0.27.0a3-py3-none-macosx_11_0_arm64.whl |
Total release size: 17.6 MB
Release files / rumi_eo-0.27.0a3-py3-none-manylinux_2_28_x86_64.whl
| Download URL | rumi_eo-0.27.0a3-py3-none-manylinux_2_28_x86_64.whl |
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| Size | 12.9 MB |
| Tags | Linux glibc 2.28+ x86-64 Python 3 |
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| Size | 4.7 MB |
| Tags | Python 3 macOS 11.0+ ARM64 |
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