The project takes a set of input photos (in JPEG format) from a specified folder (input_photo_folder). It then processes these photos to generate collage sheets that combine multiple images in a grid format.

Features

• Collage Generation: Utilizes the PIL (Python Imaging Library) to create harmonious and aesthetically pleasing collage sheets.
• Customizable Layout: Easily tailor sheet size, photo size, and grid parameters to suit your preferences.
• Batch Processing: The convert_photos_to_sheets function automates the process, generating collage sheets for multiple images in a specified input folder.
• Output Folder Creation: Ensures a clean organization by creating the output folder if it doesn't exist.

Usage

1. Installation:

   • Ensure you have Python installed.
   • Install the required PIL library using: pip install pillow.

2. Run the Project:

   • Modify the input_photo_folder and output_sheet_folder variables in the example usage section of the script to point to your photo collection and desired output location.
   • Execute the script to generate collage sheets: python your_script_name.py.

3. Customization:

   • Adjust sheet size, photo size, rows, columns, and margins as needed in the create_photo_sheet function.

Example

input_photo_folder = '/path/to/your/photo/folder'
output_sheet_folder = '/path/to/your/output/folder'

convert_photos_to_sheets(input_photo_folder, output_sheet_folder)

Future Scope

The Photographic Ensemble Composer is a dynamic project with the following future scope possibilities:

1. User Interface (UI) Integration: Incorporate a user-friendly GUI for a more intuitive and interactive experience.

2. Image Filtering and Effects: Add options for applying filters and effects to enhance individual photos or the entire collage.

3. Automatic Layout Optimization: Implement an algorithm for intelligent photo arrangement based on content or user-defined preferences.

4. Template System: Develop a template system for predefined layouts or user-created templates.

5. Support for Additional Image Formats: Extend compatibility to support various image formats beyond JPEG.