Metadata-Version: 1.1
Name: autocrop
Version: 0.1.4
Summary: Automatically crops faces from batches of pictures
Home-page: https://github.com/leblancfg/autocrop
Author: Francois Leblanc
Author-email: leblancfg@gmail.com
License: BSD 2-Clause
Description: 
        # autocrop
        [![Travis Build Status](https://img.shields.io/travis/leblancfg/autocrop.svg)](https://travis-ci.org/leblancfg/autocrop) [![AppVeyor Build Status](https://img.shields.io/appveyor/ci/leblancfg/autocrop.svg?label=%22Windows%22)](https://ci.appveyor.com/project/leblancfg/autocrop/branch/master) [![PyPI version](https://badge.fury.io/py/autocrop.svg)](https://badge.fury.io/py/autocrop) 
        
        <p align="center"><img title="obama_crop" src="https://cloud.githubusercontent.com/assets/15659410/10975709/3e38de48-83b6-11e5-8885-d95da758ca17.png"></p>
        
        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:
        
        ~~~python
        pip install autocrop
        ~~~
        
        ### Gotchas
        Autocrop uses OpenCV to perform face detection, which is installed through binary [wheels](http://pythonwheels.com/). 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](https://www.anaconda.com/download/) is also currently slated for development. Please leave feedback on [issue #7](https://github.com/leblancfg/autocrop/issues/7) if you are insterested in helping out.
        
        ### Installing directly
        In some cases, you may wish the package directly, instead of through [PyPI](https://pypi.python.org/pypi):
        
        ~~~
        cd ~
        git clone https://github.com/leblancfg/autocrop
        cd autocrop
        pip install .
        ~~~
        
        ## Requirements
        Best practice for your projects is of course to [use virtual environments](http://docs.python-guide.org/en/latest/dev/virtualenvs/). At the very least, you will need to [have pip installed](https://pip.pypa.io/en/stable/installing/).
        
        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
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
