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# ColorCalc Interactive Colour Range Analyzer
# ColorCalc
ColorCalc is a desktop app for Windows/macOS/Linux that helps you identify and highlight colours in images. It is built with Python, Tkinter, and Pillow and is tuned for fullHD screens. Instead of focusing on a single hue (like purple), you can target any colour range, tweak saturation/value thresholds, and export overlays in seconds.
---
ColorCalc is a small Tkinter tool for analysing colour ranges in images. You load a picture, pick or click a reference colour, adjust hue/saturation/value sliders, and the app marks matching pixels while showing quick stats.
## Features
- Two synced previews (original + overlay)
- Hue/Sat/Value sliders with presets and image colour picker
- Exclusion rectangles to ignore regions
- Theme toggle (light/dark) with rounded toolbar buttons
- Quick overlay export (PNG) and optional defaults via `config.toml`
- 🎯 **Configurable hue detection** adjust hue, saturation, and value windows or pick colours directly from the image/preset swatches.
- 🪟 **Responsive dual-preview UI** original image on the left, processed overlay on the right, sized for 1080p.
- 🖱️ **Interactive masks** draw exclusion rectangles to ignore specific regions when calculating results.
- 🌗 **Light & dark mode** rounded toolbar buttons adapt to the current theme; toggle any time.
- 🟨 **Realtime stats** centre-aligned labels show match ratios with/without exclusions plus filenames and dimensions.
- 💾 **Overlay export** save PNG overlays blended with the source image for reporting or further editing.
- ⚙️ **Config file defaults** populate `config.toml` to ship different starting values across machines.
- 🎨 **Preset palette** one-click access to common colours (red, cyan, grey, black, …).
---
## Getting Started
### Requirements
- Python 3.11+ (includes the standard `tomllib`; for 3.10 install `tomli`)
- Tkinter (ships with most Python distributions; on Linux install `python3-tk`)
## Requirements
- Python 3.11+ (3.10 works with `tomli`)
- Tkinter (install separately on some Linux distros)
- Pillow (`pip install pillow`)
### Installation
## Setup
```bash
git clone https://github.com/<your-org>/ColorCalc.git
cd ColorCalc
python3 -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt # or pip install pillow
```
### Launch
```bash
pip install pillow
python3 main.py
```
The window opens maximized; load an image, tweak sliders, and watch the overlay update in real time.
---
## Usage Tips
- **Pick colours quickly:** use the 🎨 button to open a colour chooser or click directly inside the left preview (enable 🖱️ first).
- **Fine-tune defaults:** edit `config.toml` and set keys under `[defaults]`. Restart the app to apply changes.
- **Reset & compare:** `🔄 Slider zurücksetzen` reverts to defaults and clears the status message.
- **Exclude areas:** right-drag on the original preview to mark rectangles; use `↩️` to undo or `🧹` to clear all.
- **Copy stats:** right-click the filename or ratio labels to copy.
- **Export overlay:** `💾` saves a PNG with your overlay merged onto the source image.
- **Theme switch:** `🌓` toggles between light/dark; button palettes update instantly.
---
## Project Structure
```
ColorCalc/
├── app/
│ ├── app.py # ColorCalcApp composition root
│ ├── __init__.py # Package exports
│ ├── gui/
│ │ ├── color_picker.py # Colour selection & presets
│ │ ├── exclusions.py # Exclusion rectangle handlers
│ │ ├── theme.py # Theme detection & style updates
│ │ └── ui.py # Tkinter layout and custom widgets
│ └── logic/
│ ├── constants.py # Config defaults & preview sizing
│ ├── image_processing.py # Loading, overlay creation, stats
│ └── reset.py # Slider reset mixin
├── config.toml # Default HSV/alpha overrides
├── images/ # Optional sample inputs
└── main.py # CLI entry point (`python3 main.py`)
```
---
## Configuration (`config.toml`)
## Workflow
1. Load an image (`📂`).
2. Pick a colour (`🎨` dialog, `🖱️` image click, or preset swatch).
3. Finetune sliders; watch the overlay update on the right.
4. Draw exclusions with right drag; reset or save when ready.
## Config Defaults
Optional `config.toml`:
```toml
[defaults]
hue_min = 250.0 # 0..360°
hue_min = 250.0
hue_max = 310.0
sat_min = 15.0 # percentage 0..100
sat_min = 15.0
val_min = 15.0
val_max = 100.0
alpha = 120 # overlay opacity 0..255
alpha = 120
```
All values are optional; omit them to fall back to built-in defaults. Hue min/max support wrap-around (e.g. 350 to 20).
## Project Layout
```
app/
app.py # main app assembly
gui/ # UI, theme, picker mixins
logic/ # image ops, defaults, reset
config.toml # optional defaults
main.py # entry point
```
---
## Development Workflow
- Format: project sticks to standard Python style; no formatter enforced.
- Testing: primary quick check is compilation via `python3 -m compileall app main.py`.
- Platform quirks: some theme detection uses Windows registry; errors are swallowed when unavailable.
---
## Contributing
1. Fork + clone.
2. Create a feature branch.
3. Make changes and run `python3 -m compileall app main.py`.
4. Submit a PR with a clear description and screenshots if UI changes are visible.
---
## License
MIT License © 2024 ColorCalc contributors. See `LICENSE` (add one if missing) for details.
## Development
- Quick check: `python3 -m compileall app main.py`
- Contributions welcome; include screenshots for UI tweaks.