ICRA/README.md

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<div style="display:flex; gap:16px; align-items:center;">
<img src="app/assets/logo.png" alt="ICRA" width="140"/>
<div>
<strong>Interactive Color Range Analyzer (ICRA)</strong><br/>
A fully-featured, PySide6-powered desktop application for precise color matching, image analysis, and statistics generation.
</div>
</div>
## Features
- **High-Performance Image Processing:** Native, vectorized NumPy operations for lightning-fast HSV conversion and color matching.
- **Batch Folder Processing:** Load a folder of images and instantly export an aggregated `icra_stats.csv` with localized formatting (dot or comma decimals depending on your language).
- **Eyedropper Tool:** Quickly pick target matching colors directly from the image canvas.
- **Advanced Selection:** Support for exclusion zones (rectangles and free-draw polygons) overlaid on the image, all dynamically rendered via `QGraphicsView`.
- **Modern UI & UX:**
- Drag-and-drop support for files and folders.
- Custom dark and light themes with native-feeling borderless titlebars and a categorized menu bar.
- Window size and position persistence between launches.
- Keyboard shortcuts for rapid workflow.
- **Configurable:** Uses `config.toml` to drive everything from overlay matching colors to default sliders and application language (`en`/`de`).
## Requirements
- Python 3.11+
- [uv](https://github.com/astral-sh/uv) for dependency management
- Works across Windows, macOS, and Linux (requires PySide6 and numpy)
## Setup with uv
```bash
git clone https://git.lukasmahler.de/lm/ICRA.git
cd ICRA
uv venv
source .venv/Scripts/activate # macOS/Linux: source .venv/bin/activate
uv pip install .
uv run icra
```
## Running the Test Suite
The core image processing logic and UI data models are rigorously tested using `pytest`.
```bash
uv run pytest tests/ -v
```
## Project Layout
```
app/
assets/ # Shared branding
lang/ # Localization strings (TOML format)
logic/ # Configuration loading and application constants
qt/ # PySide6 implementation (main_window, custom UI widgets, vectorized image processing)
tests/ # Pytest unit tests
config.toml # Configurable overlay colors, slider defaults
main.py # Entry point -> PySide6 launcher
```
## Development Notes
- The legacy `Tkinter` codebase has been completely removed in favor of `PySide6`.
- Quick syntax check: `uv run python -m compileall app main.py`
- Contributions welcome!