autocrop

Perfect for batch work for ID cards or profile picture processing for your website, autocrop will output images centered around the biggest face detected.

Use

usage: autocrop [-h] [-p PATH] [-w WIDTH] [-H HEIGHT] [-v]

optional arguments:
  -h, --help            show this help message and exit
  -p PATH, --path PATH  folder where images to crop are located. Default:
                        photos/
  -w WIDTH, --width WIDTH
                        width of cropped files in px. Default: 500
  -H HEIGHT, --height HEIGHT
                        height of cropped files in px. Default: 500
  -v, --version         show program's version number and exit

Installation

Simple! In your command line, type:

cd ~
git clone https://github.com/Insightzen/autocrop.git
cd autocrop
pip install .

Gotchas

Autocrop uses OpenCV to perform face detection, which is installed through binary wheels. If you already have OpenCV 3+ installed, you may wish to uninstall the additional OpenCV installation: pip uninstall opencv-python.

conda

Development of a conda-forge package for the Anaconda Python distribution is also currently slated for development. Please leave feedback on issue #7 if you are insterested in helping out.

Requirements

Best practice for your projects is of course to use virtual environments. At the very least, you will need to have pip installed.

Autocrop is currently being tested on:

• Python:
  • 2.7
  • 3.4
  • 3.5
  • 3.6
• OS:
  • Linux
  • macOS
  • Windows

More Info

Check out:

• http://docs.opencv.org/master/d7/d8b/tutorial_py_face_detection.html#gsc.tab=0
• http://docs.opencv.org/master/d5/daf/tutorial_py_histogram_equalization.html#gsc.tab=0

Adapted from:

• http://photo.stackexchange.com/questions/60411/how-can-i-batch-crop-based-on-face-location