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OpenCV 4 with Python Blueprints

You're reading from   OpenCV 4 with Python Blueprints Build creative computer vision projects with the latest version of OpenCV 4 and Python 3

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789801811
Length 366 pages
Edition 2nd Edition
Languages
Tools
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Authors (4):
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Michael Beyeler (USD) Michael Beyeler (USD)
Author Profile Icon Michael Beyeler (USD)
Michael Beyeler (USD)
Dr. Menua Gevorgyan Dr. Menua Gevorgyan
Author Profile Icon Dr. Menua Gevorgyan
Dr. Menua Gevorgyan
Michael Beyeler Michael Beyeler
Author Profile Icon Michael Beyeler
Michael Beyeler
Arsen Mamikonyan Arsen Mamikonyan
Author Profile Icon Arsen Mamikonyan
Arsen Mamikonyan
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Toc

Table of Contents (14) Chapters Close

Preface 1. Fun with Filters 2. Hand Gesture Recognition Using a Kinect Depth Sensor FREE CHAPTER 3. Finding Objects via Feature Matching and Perspective Transforms 4. 3D Scene Reconstruction Using Structure from Motion 5. Using Computational Photography with OpenCV 6. Tracking Visually Salient Objects 7. Learning to Recognize Traffic Signs 8. Learning to Recognize Facial Emotions 9. Learning to Classify and Localize Objects 10. Learning to Detect and Track Objects 11. Profiling and Accelerating Your Apps 12. Setting Up a Docker Container 13. Other Books You May Enjoy

Planning the app

We have multiple concepts to familiarize ourselves with. With a view to building your toolbox for image processing, we are going to develop the algorithms that we are going to familiarize ourselves with into Python scripts that use OpenCV to accomplish real-life problems.

We will use OpenCV to implement the following scripts so that you will be able to use them whenever you need to do photo processing:

  • gamma_correct.py: This is a script that applies gamma correction to the input image and shows the resulting image.
  • hdr.py: This is a script that takes images as input and produces a high dynamic range (HDR) image as an output.
  • panorama.py: This is a script that takes multiple images as input and produces a single stitched image that is larger than the individual images.

We'll first start with a discussion of how digital photography works and the reason we...

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