cropy : Python content based image crop

Command line tool and module to crop an image to a specific resolution removing less important parts first.

First started with the approch of this publication but seems a bit complex and slow (http://research.microsoft.com/en-us/um/people/jiansun/papers/SalientDetection_CVPR07.pdf).

cropy uses entropy information to identify slices of the image with less informations.

Usage

To use with command line:

cropy -i [input image] -r [width] [height] -o [output name] -s [maxSteps]

• input image : location of the image to crop
• width, eight : dimensions of the resultant cropped image
• output name : name of the output image (default : original_name.width.eight.orginal_extension)
• maxSteps : number of iteration : greater means more precision but slower (default : 10)

More info and examples on http://blog.mapado.com/cropy-how-to-crop-an-image-keeping-the-best-content/

Installation

You can install cropy using pip:

$ pip install cropy

Note that cropy requires scikit-learn, which itself is based on numpy and scipy and requires cython to compile.

Possible upgrade

• locate faces inside image to prevent removing
• locate text on images to crop first

Thanks

Inspired from slycrop (php entropy based crop) : https://github.com/stojg/slycrop