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OpenCV 4 with Python Blueprints

OpenCV 4 with Python Blueprints - Second Edition

By : Dr. Menua Gevorgyan , Michael Beyeler (USD), Mamikonyan, Michael Beyeler
5 (4)
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OpenCV 4 with Python Blueprints

OpenCV 4 with Python Blueprints

5 (4)
By: Dr. Menua Gevorgyan , Michael Beyeler (USD), Mamikonyan, Michael Beyeler

Overview of this book

OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.
Table of Contents (14 chapters)
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11
Profiling and Accelerating Your Apps
12
Setting Up a Docker Container
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Setting Up a Docker Container

Docker is a convenient platform that can package an application and its dependencies in a replicable virtual environment that can run on different operating systems. In particular, it is well integrated with any Linux system.

The replicable virtual environment is described in a Dockerfile that contains instructions that should be executed in order to achieve the desired virtual environment. These instructions mainly include the installation procedure, which is pretty much similar to the installation procedure with a Linux shell. Once the environment has been created, you can be sure that your app will have the same behavior on any other machine.

In Docker terminology, the resulting virtual environment is called a Docker image. You can create an instance of the virtual environment, which is called a Docker container. After the container is created...

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Programming languages
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OpenCV 4 with Python Blueprints
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