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You're reading from  OpenCV with Python Blueprints

Product typeBook
Published inOct 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781785282690
Edition1st Edition
Languages
Python
Tools
SciPyOpenCV
Concepts
Computer Vision
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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 a Python class for detecting, matching, and tracking image features, as well as a wxPython GUI application that accesses the webcam and displays each processed frame.

The project will contain the following modules and scripts:

  • feature_matching: A module containing an algorithm for feature extraction, feature matching, and feature tracking. 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.

  • feature_matching.FeatureMatching: A class that implements the entire feature-matching process flow. It accepts an RGB camera frame and tries to locate an object of interest in it.

  • 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 previous chapters.

  • gui.BaseLayout: A generic layout from which more complicated layouts can be built. This chapter does not require any modifications...

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OpenCV with Python Blueprints
Published in: Oct 2015Publisher: PacktISBN-13: 9781785282690
© 2015 Packt Publishing Limited All Rights Reserved

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)

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