FREE E-BOOK Opencv Computer Vision Projects with Python


FREE E-BOOK Opencv Computer Vision Projects with Python


FREE E-BOOK Opencv Computer Vision Projects with Python
FREE E-BOOK Opencv Computer Vision Projects with Python




Author(s): Joseph Howse, Prateek Joshi, Michael Beyeler

Publisher: Packt Publishing, Year: 2016
ISBN: 1787125491, 978-1787125490


What this learning path covers

Module 1, OpenCV Computer Vision with Python, in this module you can have a development environment that links Python, OpenCV, depth camera libraries (OpenNI, SensorKinect), and general-purpose scientific libraries (NumPy, SciPy). 

Module 2, OpenCV with Python By Example, this module covers various examples at different levels, teaching you about the different functions of OpenCV, and their actual implementations.

 Module 3, OpenCV with Python Blueprints, this module intends to give the tools, knowledge, and skills you need to be OpenCV experts and this newly gained experience will allow you to develop your own advanced computer visio applications.



What you need for this learning path

This course provides setup instructions for all the relevant software. including package managers,.build tools.Python. NumPy.SciPy.OpenCV. OpenNI. and SensorKinect.

The setup instructions are tailored for Windows XP or later versions, Mac OS 10.6 (Snow Leopard) or later versions, and Ubuntu 12.04 or later versions.

Other Unix-like operating systems should work too if you are willing to do your own tailoring of the setup steps. You need a webcam for the projects described in the course. For additional features, some variants of the project use a second webcam or even an OpenNIcompatible depth camera such as Microsoft Kinect or Asus Xtion PRO.

Who this learning path is for


This Learning Path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV.
OpenCV's applications are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV.


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