Metadata-Version: 2.3
Name: lureva
Version: 0.1.0
Summary: Learn and reproduce a photographer's Lightroom editing style
Requires-Python: >=3.12
Description-Content-Type: text/markdown

# 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

```bash
uv sync
uv run lureva
```

Expected output:

```text
Hello from Lureva 0.1.0!
```

## Rust

```bash
cargo run
```

Expected output:

```text
Hello from Lureva 0.1.0!
```

## Status

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