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A toolkit for processing the ASM's Mammal Image Library (MIL).

Project description

mil-kit

Tests GitHub Tag PyPI - Version

A Python toolkit for batch processing the Mammal Image Library (MIL) images. Reshape, convert, and optimize images for the mammal diversity database and other applications.

Features

  • 🚀 Batch process multiple PSD files in a directory
  • ⚡ Parallel processing for faster execution
  • 📊 Progress bar with detailed status
  • 📝 Automatically hide all text layers
  • 🖼️ Export processed files as PNG (default) or other formats
  • 📁 Support for recursive directory processing
  • ⚡ Preserve folder structure in output

Installation

Install using pip:

pip install mil-kit

Or using uv:

uv add mil-kit

Usage

Command Line

Process PSD files in a directory:

mil-kit -d /path/to/psd/files

Process recursively, specify output directory, and use JPEG format:

mil-kit -d /path/to/psd/files -o /path/to/output -r -f jpeg --max-resolution 500

Options

  • -d, --dir: Input directory containing PSD files (required)
  • -o, --output: Output directory for processed files (default: input directory)
  • -f, --output-format: Output image format (default: png)
  • -r, --recursive: Process subdirectories recursively
  • --max-resolution: Set maximum resolution for output images (if needed)

Python API

You can also use mil-kit as a Python library:

from mil_kit.psd.processor import PSDProcessor
from mil_kit.job import BatchJob

# Process a single file
processor = PSDProcessor("image.psd")
processor.load()
processor.hide_non_image_layers()
processor.export("output.jpg", format="jpeg")

# If you want to export with max resolution
processor.export("output_resized.jpg", format="jpeg", max_resolution=500)

# Batch process
job = BatchJob(
    input_dir="./psd_files",
    output_dir="./output",
    recursive=True,
    output_format="png",
    max_workers=4
)
job.run()

Requirements

  • Python >= 3.10
  • psd-tools >= 1.12.0
  • pillow >= 12.0.0
  • tqdm >= 4.67.1

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Issues

Report bugs and request features on GitHub Issues.

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