Metadata-Version: 1.1
Name: smartcrop
Version: 0.3.1
Summary: smartcrop implementation in Python
Home-page: https://github.com/smartcrop/smartcrop.py
Author: Hideo Hattori
Author-email: hhatto.jp@gmail.com
License: MIT
Description: .. image:: https://travis-ci.com/smartcrop/smartcrop.py.svg?branch=master
            :target: https://travis-ci.com/smartcrop/smartcrop.py
        
        smartcrop.py
        ============
        
        smartcrop implementation in Python.
        
        smartcrop finds good crops for arbitrary images and crop sizes, based on Jonas Wagner's `smartcrop.js`_.
        
        .. _`smartcrop.js`: https://github.com/jwagner/smartcrop.js
        
        .. image:: https://i.gyazo.com/c602d20e025e58f5b15180cd9a262814.jpg
            :width: 50%
        
        .. image:: https://i.gyazo.com/5fbc9026202f54b13938de621562ed3d.jpg
            :width: 25%
        
        .. image:: https://i.gyazo.com/88ee22ca9e1dd7e9eba7ea96db084e5e.jpg
            :width: 50%
        
        Requirements
        ------------
        
        * PIL or Pillow
        * numpy for `smartcrop_numpy.py` (see https://github.com/smartcrop/smartcrop.py/issues/12)
        
        Installation
        ------------
        
        .. code-block:: sh
        
            pip3 install smartcrop
            pip3 install numpy  # if you want to use smartcrop_numpy.py
        
        or directly from GitHub:
        
        .. code-block:: sh
        
            pip install -e git+git://github.com/hhatto/smartcrop.py.git@master#egg=smartcrop
        
        Usage
        -----
        
        Use the basic command-line tool:
        
        .. code-block:: sh
        
            $ smartcroppy --help
            usage: smartcroppy [-h] [--debug] [--width WIDTH] [--height HEIGHT]
                               INPUT_FILE OUTPUT_FILE
        
            positional arguments:
              INPUT_FILE       input image file
              OUTPUT_FILE      output image file
        
            optional arguments:
              -h, --help       show this help message and exit
              --debug          debug mode
              --width WIDTH    crop width
              --height HEIGHT  crop height
        
        Processing an image:
        
        .. code-block:: sh
        
          smartcroppy --width 300 --height 300 tests/images/business-work-1.jpg output.jpg
        
        Or use the module it in your code (this is a really basic example):
        
        .. code-block:: python
        
            import json
            import sys
        
            import smartcrop  # or smartcrop_numpy
            from PIL import Image
        
            image = Image.open(sys.argv[1])
        
            sc = smartcrop.SmartCrop()
            result = sc.crop(image, 100, 100)
            print(json.dumps(result, indent=2))
        
        License
        -------
        
        MIT
        
Keywords: image,crop,PIL,Pillow
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Utilities
