facecrop-thumb 1.0.6

Generate thumbnails of detected faces in images using Python.

FaceCropThumb

FaceCropThumb is a Python package for generating thumbnails of detected faces in images. It utilizes the MTCNN (Multi-Task Cascaded Convolutional Neural Network) for accurate face detection and OpenCV for image processing.

All documentation is in the “docs” directory and online at https://facecrop-thumb.readthedocs.io/en/stable/. If you’re just getting started, here’s how we recommend you read the docs:

Features

• Detect faces in images using the MTCNN model
• Crop detected faces with a configurable margin
• Generate square thumbnails of detected faces
• Option to resize the entire image if no face is detected or face detection is skipped
• Command-line utility for easy usage

Quick Installation

You can install FaceCropThumb via pip:

pip install facecropthumb

Quick Usage

facecropthumb <image_path> [-d/--dir <output_directory>] [-m/--margin <margin_size>] [-F/--no-face] [-S/--skip-face] [-a/--all]

• <image_path>: Path to the input image file.
• -d/--dir <output_directory>: Directory to store the output thumbnail. Default is the current directory.
• -m/--margin <margin_size>: Margin around the detected face. Default is 50 pixels.
• -F/--no-face: Skip face detection and resize the whole image if no face is detected.
• -S/--skip-face: Skip face detection and resize the whole image.
• -a/--all: Process all images in the specified directory. If no directory is provided, it processes images in the current directory.
• -v/--version: Show installed version.
• -h/--help: Show help.

Example:

facecropthumb input_image.jpg -d output_directory -m 30 -F

This command will generate a thumbnail of the detected face in input_image.jpg, with a margin of 30 pixels, and if no face is detected, it will resize the whole image to a square of 74 x Y pixels (~approx).

Development Documentation

DISCLAIMER: This documentation is for the contributers of FaceCropThumb, not for general package users.

Firstly install dev dependencies from requirements.txt file

Usage

To run and test the package, use python -m facecrop-thumb <args>

Build Docs

You can see the production build docs in docs/build/index.html

Update the documentation at any cost after any change in feature

Run this to watch the docs/ folder while you're making documentation changes

watchmedo shell-command --patterns="*.rst;conf.py;_templates/*" --recursive --command='sphinx-build -b html docs docs/_build' docs

Release

After a successful change in the package, it's time to publish it officially.

• Update the version in facecrop_thumb/version.py

• Create a new release on release page. (This will automatically trigger GitHub actions to release a new version on PYPI)

That's it, the newer version will be available to everyone.

But if you want to publish a version by yourself, you can use following command:

• python setup.py sdist

• twine upload dist/*

License

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