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An image flow for PyQt which is easy to use and highly configurable.
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MartinAltmayer/imageflow
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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 <martin.altmayer@web.de> 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 <martin.altmayer@web.de>. 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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