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Lureva

Lureva is an experimental tool for learning a photographer's Lightroom editing style from paired RAW and edited examples.

The initial goal is straightforward: given a RAW image, predict adjustments that reproduce the photographer's editing decisions and emit either:

  • a DNG containing the resulting edit metadata, or
  • the original RAW file with an accompanying XMP sidecar.

The project is Python-first. A minimal Rust crate is published under the same name to reserve the namespace and leave room for native components later.

Python

uv sync
uv run lureva

Expected output:

Hello from Lureva 0.1.0!

Rust

cargo run

Expected output:

Hello from Lureva 0.1.0!

Status

Early development. No editing or prediction functionality has been implemented yet.

Metadata

Release files for lureva 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lureva 0.1.0
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lureva-0.1.0.tar.gz 1.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for lureva 0.1.0
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lureva-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 3.3 kB

Release files / lureva-0.1.0.tar.gz

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Size 1.1 kB
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Release files / lureva-0.1.0-py3-none-any.whl

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Size 2.2 kB
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0.1.0 This release

2 release files

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