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Learning OpenCV 3 Computer Vision with Python (Update)

You're reading from   Learning OpenCV 3 Computer Vision with Python (Update) Unleash the power of computer vision with Python using OpenCV

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785283840
Length 266 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Setting Up OpenCV FREE CHAPTER 2. Handling Files, Cameras, and GUIs 3. Processing Images with OpenCV 3 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Detecting and Recognizing Objects 8. Tracking Objects 9. Neural Networks with OpenCV – an Introduction Index

Creating modules


The code to capture and manipulate depth-camera data will be reusable outside Cameo.py. So, we should separate it into a new module. Let's create a file called depth.py in the same directory as Cameo.py. We need the following import statement in depth.py:

import numpy

We will also need to modify our preexisting rects.py file so that our copy operations can be limited to a nonrectangular subregion of a rectangle. To support the changes we are going to make, let's add the following import statements to rects.py:

import numpy
import utils

Finally, the new version of our application will use depth-related functionalities. So, let's add the following import statement to Cameo.py:

import depth

Now, let's go deeper into the subject of depth.

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