image-padder 0.1.1

A command-line tool to pad and resize images

Image Padder

Image Padder is a command-line tool for batch processing image files. It can pad images to a specified aspect ratio, resize them, and supports custom background colors.

Features

• Supports jpg, jpeg, png, webp, and avif image formats
• Pads images to a specified aspect ratio (default 1:1)
• Customizable padding background color (default black)
• Optional image resizing
• Batch processing of entire folders
• Processed images saved in a new folder with original filenames

Installation

Install Image Padder using pip:

pip install image-padder

Usage

Basic usage:

image-padder <input_folder> [options]

Options:

• --ratio: Target aspect ratio (width/height). Default is 1.0 (square).
• --bg-color: Background color in hex format (e.g., #FFFFFF). Default is #000000 (black).
• --output-size: Output size after processing, specified as WIDTH HEIGHT.

Example:

image-padder /path/to/image/folder --ratio 1.5 --bg-color "#FFFFFF" --output-size 800 600

This command processes all supported images in /path/to/image/folder, padding them to a 3:2 aspect ratio with a white background, and resizing to 800x600 pixels.

Output

Processed images are saved in a new folder at the same level as the input folder. The new folder is named:

{original_folder_name}_padded_{random_three_letters}

For example, if the input folder is "my_images", the output folder might be "my_images_padded_xyz".

Development

To set up the development environment:

1. Clone the repository:

   git clone https://github.com/yourusername/image-padder.git
   cd image-padder
   

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use venv\Scripts\activate
   

3. Install development dependencies:

   pip install -r requirements.txt
   

4. Install the package in editable mode:

   pip install -e .
   

Contributing

We welcome issue reports and pull requests. For major changes, please open an issue first to discuss what you'd like to change.

License

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