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You're reading from  OpenCV with Python Blueprints

Product typeBook
Published inOct 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781785282690
Edition1st Edition
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Authors (2):
Michael Beyeler
Michael Beyeler
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Michael Beyeler

Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
Read more about Michael Beyeler

Michael Beyeler (USD)
Michael Beyeler (USD)
author image
Michael Beyeler (USD)

Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
Read more about Michael Beyeler (USD)

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Planning the app


The final app will consist of the following modules and scripts:

  • filters: A module comprising different classes for the three different image effects. The modular approach will allow us to use the filters independently of any graphical user interface (GUI).

  • filters.PencilSketch: A class for applying the pencil sketch effect to an RGB color image.

  • filters.WarmingFilter: A class for applying the warming filter to an RGB color image.

  • filters.CoolingFilter: A class for applying the cooling filter to an RGB color image.

  • filters.Cartoonizer: A method for applying the cartoonizer effect to an RGB color image.

  • gui: A module that provides a wxPython GUI application to access the webcam and display the camera feed, which we will make extensive use of throughout the book.

  • gui.BaseLayout: A generic layout from which more complicated layouts can be built.

  • chapter1: The main script for this chapter.

  • chapter1.FilterLayout: A custom layout based on gui.BaseLayout that displays the camera feed and a row of radio buttons that allows the user to select from the available image filters to be applied to each frame of the camera feed.

  • chapter1.main: The main function routine for starting the GUI application and accessing the webcam.

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Authors (2)

author image
Michael Beyeler

Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
Read more about Michael Beyeler

author image
Michael Beyeler (USD)

Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
Read more about Michael Beyeler (USD)