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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:

  • gestures: A module that consists of an algorithm for recognizing hand gestures. We separate this algorithm from the rest of the application so that it can be used as a standalone module without the need for a GUI.

  • gestures.HandGestureRecognition: A class that implements the entire process flow of hand-gesture recognition. It accepts a single-channel depth image (acquired from the Kinect depth sensor) and returns an annotated RGB color image with an estimated number of extended fingers.

  • gui: A module that provides a wxPython GUI application to access the capture device and display the video feed. This is the same module that we used in the last chapter. In order to have it access the Kinect depth sensor instead of a generic camera, we will have to extend some of the base class functionality.

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

  • chapter2: The main script for the chapter...

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OpenCV with Python Blueprints
Published in: Oct 2015Publisher: PacktISBN-13: 9781785282690

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)