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Pattern recognition and image processing library for Tensorflow
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Pattern recognition and image processing library for Tensorflow (TF)
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This library is created and maintained by The University of Queensland [COMP3710](https://my.uq.edu.au/programs-courses/course.html?course_code=comp3710) students.
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The library includes the following implemented in Tensorflow:
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* fractals
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* algorithms
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* recognition problems
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In the algorithms, you will find many image processing algorithms ported to TF
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* denoise algorithms
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* image processing algorithms
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* transform algorithms
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* metrics
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* histograms
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etc.
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In the recognition folder, you will find many recognition problems solved including:
Various image analysis / pattern recognition problems solved in Tensorflow (TF)
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This library is created and maintained by The University of Queensland [COMP3710](https://my.uq.edu.au/programs-courses/course.html?course_code=comp3710) students.
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## Contributing
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* Fork the dedicated 'topic-recognition' branch
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* Create a directory for your problem and place your code into it.
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* Your code should have functions in a separate module and a driver (main) script that runs it with parameters defined.
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* The driver script should preferably either plot or save an image of the generated results
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* Add a README.md file that describes the problem, its solution and shows a picture of it.
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* You may upload a low res image (< 2 MB) into a folder called 'resources' in your problem directory for displaying on the README.md file
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* You can see an example of this in the [SMILI repository](https://github.com/shakes76/smili).
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* Then put in a pull request for the repository owner to approve and that's it!
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