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OpenCV 4 with Python Blueprints - Second Edition
book

OpenCV 4 with Python Blueprints - Second Edition

by Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler
March 2020
Intermediate to advanced
366 pages
9h 8m
English
Packt Publishing
Content preview from OpenCV 4 with Python Blueprints - Second Edition

Preparing the dataset

As mentioned previously, in this chapter, we are going to use the Oxford-IIIT-Pet dataset. It will be a good idea to encapsulate the preparation of the dataset in a separate data.py script, which can then be used throughout the chapter. As with any other script, first of all, we have to import all the required modules, as shown in the following code snippet:

import globimport osfrom itertools import countfrom collections import defaultdict, namedtupleimport cv2import numpy as npimport tensorflow as tfimport xml.etree.ElementTree as ET

In order to prepare our dataset for use, we will first download and parse the dataset into memory. Then, out of the parsed data, we will create a TensorFlow dataset, which allows us to ...

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Publisher Resources

ISBN: 9781789801811Supplemental Content