OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3?s Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we?ll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? OpenCV Computer Vision with Python by Joseph Howse ? OpenCV with Python By Example by Prateek Joshi? OpenCV with Python Blueprints by Michael Beyeler
Accessing your eBook through Kortext
Once purchased, you can view your eBook through the Kortext app, available to download for Windows, Android and iOS devices. Once you have downloaded the app, your eBook will be available on your Kortext digital bookshelf and can even be downloaded to view offline anytime, anywhere, helping you learn without limits.
In addition, you'll have access to Kortext's smart study tools including highlighting, notetaking, copy and paste, and easy reference export.
To download the Kortext app, head to your device's app store or visit https://app.kortext.com to sign up and read through your browser.
NB: eBook is only available for a single-user licence (i.e. not for multiple / networked users).