adaptive-pixelizer 0.2.0

A GUI tool to pixelate images by averaging colors within an interactively adaptable grid.

README.md

adaptive-pixelizer

adaptive-pixelizer is a simple GUI tool to pixelate images by averaging colors within a user-defined grid. It's designed for easily converting high-resolution pixel art or photos into a low-resolution, dot-art style with interactive editing capabilities.

Features

• Three-Step Workflow:
  1. Initial Grid Setup: Define the initial grid size and color calculation method.
  2. Interactive Grid Editing: Manually add, delete, and move grid lines directly on the image.
  3. Color Editing: Select and edit the colors of the generated pixels.
• Grid Editing Operations:
  • Shift + Left Click: Add vertical line
  • Shift + Right Click: Add horizontal line
  • Ctrl + Click: Delete line under cursor
  • Drag line: Move line
  • Delete/Backspace: Delete line under cursor
• Color Editing Operations (Step 3):
  • Click: Select/deselect individual pixel.
  • Shift + Click: Select/deselect all pixels of the same color.
  • Drag: Select/deselect pixels within the dragged area.
  • Click outside pixels: Deselect all pixels.
  • Edit Button / Menu: Change the color of selected pixels.
• Zoom and Pan: Easily navigate large images (Mouse wheel, Alt+Drag).
• Multiple Color Calculation Methods: Choose between Average, Median, or Mode for pixelation.
• Real-time Preview: See the pixelated result instantly (can be toggled on/off for grid editing).
• Undo/Redo: Supports undo/redo for grid modifications and color edits (including selection state).
• Simple Interface: Lightweight and easy to use.

Installation

You can install adaptive-pixelizer using pip:

pip install adaptive-pixelizer

Optional Dependencies:

For potentially faster median color calculation, NumPy is recommended:

pip install adaptive-pixelizer[numpy]
# or just "pip install numpy" separately

Usage

1. Launch the application by typing the following command in your terminal:

   adaptive-pixelizer
   

2. Step 1: Initial Grid

   • Click "画像ファイルを開く" (Open Image File) to load an image.
   • Adjust the initial grid size using the spinboxes ("横", "縦").
   • Select the color calculation method ("平均", "中央値", "最頻色").
   • The preview updates automatically (if "プレビュー自動更新" is checked). Click "プレビュー更新" for manual update.
   • Click "グリッド編集へ進む →" to proceed.

3. Step 2: Grid Editing

   • Edit the grid lines on the left panel (original image) using the operations described in Features.
   • You can change the color calculation method here as well.
   • The preview updates based on the grid changes.
   • Click "色編集へ進む →" to finalize the grid and proceed.
   • Click "← 初期グリッドに戻る" to discard grid edits and return to Step 1.

4. Step 3: Color Editing

   • Select pixels on the left panel (now showing pixelated blocks) using the color editing operations.
   • Click "選択ピクセルを編集..." to open the color dialog and change the color of the selected pixels.
   • Undo/Redo works for color changes and restores the selection state before the change.
   • Click "← グリッド編集に戻る" to discard color edits and return to Step 2.

5. Saving:

   • Once satisfied with the result (usually after Step 3), save the processed image using "ファイル" > "名前を付けて保存...".

Requirements

• Python 3.8 or later
• PyQt6 >= 6.4
• Pillow >= 9.0
• NumPy (Optional, >= 1.20 recommended for Median calculation)
• OS: Primarily tested on macOS, should work on Windows/Linux.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing / Issues