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Resize and blur-pad photos to square format for photos

Project description

SoftCropper

PyPI version License: MIT Build Status (https://github.com/khaledalam/softcropper/actions) Python

SoftCropper is a Python tool that automatically resizes rectangular images into squares and adds soft, blurred borders — ideal for prepping images for print or display.

This package is part of the internal tools used at CanvasMagnet for order preparation and production automation.



📸 Example Results

Before ➡️ After
Baby.webp (600×900)
Output (900×900)
Kid.jpg (1100×733)
Output (1100×1100)

🚀 Features

  • Pads any image to a perfect square
  • Fills padding using soft Gaussian blur from original image
  • Automatically saves output in a separate folder

📦 Requirements

  • Python >= 3.7
  • opencv-python
  • numpy

🔧 Installation

pip install softcropper

⚙️ Usage

softcropper ./path/input_photos ./path/output_ready
  • input_photos: folder with png, jpg, jpeg, or webp files
  • output_photos: optional (defaults to ./input_photos/output/)

✅ Testing

PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 pytest tests/test_softcropper.py -v

🛠️ Makefile Commands

make venv         # create .venv
make install      # install in editable mode
make test         # run unit/integration tests
make build        # build for PyPI
make clean        # remove all build artifacts and caches

🤝 Contribution

Pull requests are welcome! If you'd like to suggest improvements or fix issues, feel free to fork and submit.

Author

Khaled Alam

📧 khaledalam.net@gmail.com
🌍 Website | LinkedIn | X(Twitter)

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