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An image flow for PyQt which is easy to use and highly configurable.

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README
============
This is an easy to use and highly configurable image flow for PyQt. 
Features:

- Reflection
- Fading out of images to the sides
- Images are loaded and scaled in a separate thread,
  so the animation is always smooth.
- 5 different curves on which the images can flow.
- Detect image orientation from exif data
  (requires the Wand library from www.wand-py.org).
- Configurable: Disable all features that you don't want.
- Pure Python 3 and PyQt

To test the imageflow, download and extract the zip-file from
https://github.com/MartinAltmayer/ImageFlow/
and use
python3 imageflow/__init__.py  <folder with images>
Try also 
python3 imageflow/__init__.py  --help


To use the image flow in a PyQt-application, simply create an
imageflow.ImageFlowWidget
and add it to your layout. To configure the image flow have a look at the
available options at the top of imageflow/__init__.py and use setOption(s).

This package is copyright of Martin Altmayer <[email protected]>
and licensed under the GPL v3 or later (confer the file LICENSE).


INSTALLATION
=============
Download and extract zip-file from
https://github.com/MartinAltmayer/ImageFlow/
Change into the extracted directory.
Type 
sudo python3 setup.py install
or, to install without root permissions,
python3 setup.py install --user



DEVELOPMENT
=============
To contribute in development, get the current HEAD from the git repository:
git clone https://github.com/MartinAltmayer/imageflow.git
Send patches and ideas to <[email protected]>.


ATTRIBUTIONS
==============
The image flow script uses process-working.png from the Tango project
(http://tango.freedesktop.org/).

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An image flow for PyQt which is easy to use and highly configurable.

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