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Simple image filters
====================
A collection of simple image processing utilities using basic convolution
matrices.
Prerequisites
-------------
* Python 3.4 or higher
* [numpy]
* [opencv-python]
The versions below have been verified to work properly.
| Software | Version |
| ------------- | ------- |
| CPython | 3.5.1 |
| numpy | 1.11.0 |
| opencv-python | 3.1.0 |
[numpy]: http://www.numpy.org/
[opencv-python]: http://opencv.org/
Windows binaries for CPython can be acquired at
http://www.lfd.uci.edu/~gohlke/pythonlibs/.
OpenCV's Python bindings require [Visual C++ Redistributable for Visual Studio
2015] on Windows.
[Visual C++ Redistributable for Visual Studio 2015]: https://www.microsoft.com/en-us/download/details.aspx?id=48145
Usage
-----
Run the scripts from the top-level directory using `python -m`.
Pass the `--help` flag to a script to examine its detailed usage information.
For example (using Windows path format):
> python -m bin.box_blur img\Lenna.png --radius 3
The complete list of usable scripts is given below.
* box_blur.py — Apply box blur to an image.
* gaussian_blur.py — Apply Gaussian blur to an image.
* shift.py — Shift an image by a few pixels in a specified direction.
Linting
-------
Requires [PyLint].
Run from the top-level directory:
> pylint filters
...
> pylint bin
...
[PyLint]: https://www.pylint.org/
License
-------
Distributed under the MIT License.
See [LICENSE.txt] for details.
[LICENSE.txt]: LICENSE.txt
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