rawpipe

CI

A collection of reference ISP algorithms, sufficient for producing a reasonably good looking image from raw sensor data. Each algorithm takes in a frame in RGB or raw format and returns a modified copy of the frame. The frame is expected to be a NumPy float array with either 2 or 3 dimensions, depending on the function. Some of the algorithms can be applied in different orders (demosaicing before or after linearization, for example), but the reference ordering is as shown below.

Example:

import rawpipe
...
raw = rawpipe.linearize(raw, blacklevel=64, whitelevel=1023)
rgb = rawpipe.wb(rgb, [1.5, 2.0], "RGGB")
rgb = rawpipe.demosaic(raw, "RGGB", downsample=True)
rgb = rawpipe.downsample(rgb, iterations=1)
rgb = rawpipe.lsc(rgb, my_vignetting_map)
rgb = rawpipe.lsc(rgb, my_color_shading_map)
rgb = rawpipe.ccm(rgb, my_3x3_color_matrix)
rgb = rawpipe.resize(rgb, 400, 300)
rgb = rawpipe.gamut(rgb, "ACES")
rgb = rawpipe.tonemap(rgb, "Reinhard")
rgb = rawpipe.chroma_denoise(rgb)
rgb = rawpipe.saturate(rgb, lambda x: x ** 0.75)
rgb = rawpipe.gamma(rgb, "sRGB")
rgb = rawpipe.quantize8(rgb)

Installing on Linux:

pip install rawpipe

Installing development dependencies:

uv sync --extra dev

Documentation:

pydoc rawpipe

Building & installing from source:

make install

Running tests locally:

uv run pytest

Building distributions locally:

uv build

Releasing to PyPI:

Publishing is handled by GitHub Actions with PyPI Trusted Publishing.

Project links

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Credits

Author: Tomi Aarnio

GitHub Statistics

Data verified by PyPI on Aug 21, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

dev

Tags

camera image-processing isp numpy raw

Classifiers

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