Mastering OpenCV 4 with Python : a practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7 / Alberto Fernández Villán

By:

Fernández Villán, Alberto [VerfasserIn]

Resource type: Ressourcentyp: BuchBookLanguage: English Publisher: Birmingham ; Mumbai : Packt, March 2019Description: viii, 516 Seiten : IllustrationenISBN:

9781789344912

Subject(s):

Additional physical formats: Erscheint auch als: Mastering OpenCV 4 with Python. Online-Ausgabe Birmingham : Packt Publishing Ltd, 2019. 1 Online-Ressource (VIII, 502 Seiten)DDC classification:

005.133

RVK: RVK: ST 250 | ST 331Summary: Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques.Summary: Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to OpenCV 4 and Python -- Chapter 1: Setting Up OpenCV -- Technical requirements -- Code testing specifications -- Hardware specifications -- Understanding Python -- Introducing OpenCV -- Contextualizing the reader -- A theoretical introduction to the OpenCV library -- OpenCV modules -- OpenCV users -- OpenCV applications -- Why citing OpenCV in your research work -- Installing OpenCV, Python, and other packages -- Installing Python, OpenCV, and other packages globally -- Installing Python -- Installing Python on Linux -- Installing Python on Windows -- Installing OpenCV -- Installing OpenCV on Linux -- Installing OpenCV on Windows -- Testing the installation -- Installing Python, OpenCV, and other packages with virtualenv -- Python IDEs to create virtual environments with virtualenv -- Anaconda/Miniconda distributions and conda package-and environment-management system -- Packages for scientific computing, data science, machine learning, deep learning, and computer vision -- Jupyter Notebook -- Trying Jupiter Notebook online -- Installing the Jupyter Notebook -- Installing Jupyter using Anaconda -- Installing Jupyter with pip -- The OpenCV and Python project structure -- Our first Python and OpenCV project -- Summary -- Questions -- Further reading -- Chapter 2: Image Basics in OpenCV -- Technical requirements -- A theoretical introduction to image basics -- Main problems in image processing -- Image-processing steps -- Images formulation -- Concepts of pixels, colors, channels, images, and color spaces -- File extensions -- The coordinate system in OpenCV -- Accessing and manipulating pixels in OpenCV -- Accessing and manipulating pixels in OpenCV with BGR images.PPN: PPN: 1680830589

Holdings ( 1 )

Holdings
Item type	Home library	Call number	Status	Date due	Barcode	Item holds
Institutsbestand	IPEK	17288	Not for loan

Total holds: 0