×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

OpenCV 3 Computer Vision with Python Cookbook. Leverage the power of OpenCV 3 and Python to build computer vision applications

(ebook) (audiobook) (audiobook) Książka w języku 1
OpenCV 3 Computer Vision with Python Cookbook. Leverage the power of OpenCV 3 and Python to build computer vision applications Aleksei Spizhevoi, Aleksandr Rybnikov - okladka książki

OpenCV 3 Computer Vision with Python Cookbook. Leverage the power of OpenCV 3 and Python to build computer vision applications Aleksei Spizhevoi, Aleksandr Rybnikov - okladka książki

OpenCV 3 Computer Vision with Python Cookbook. Leverage the power of OpenCV 3 and Python to build computer vision applications Aleksei Spizhevoi, Aleksandr Rybnikov - audiobook MP3

OpenCV 3 Computer Vision with Python Cookbook. Leverage the power of OpenCV 3 and Python to build computer vision applications Aleksei Spizhevoi, Aleksandr Rybnikov - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
306
Dostępne formaty:
     PDF
     ePub
     Mobi
OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. OpenCV's convenient high-level APIs hide very powerful internals designed for computational efficiency that can take advantage of multicore and GPU processing. This book will help you tackle increasingly challenging computer vision problems by providing a number of recipes that you can use to improve your applications.

In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. Then, we'll show you how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene. We’ll explore techniques to achieve camera calibration and perform a multiple-view analysis.

Later, you’ll work on reconstructing a 3D scene from images, converting low-level pixel information to high-level concepts for applications such as object detection and recognition. You’ll also discover how to process video from files or cameras and how to detect and track moving objects. Finally, you'll get acquainted with recent approaches in deep learning and neural networks.

By the end of the book, you’ll be able to apply your skills in OpenCV to create computer vision applications in various domains.

Wybrane bestsellery

O autorach książki

Alexey Spizhevoy has over 7 years of experience in computer vision R&D. He has worked for 5 years at Itseez, the main OpenCV contributor, before it was acquired by Intel. He has contributed to video stabilization and photo stitching modules into OpenCV library. He has successfully participated in numerous Computer Vision projects in such areas as 3D reconstruction, video conferencing, object detection and tracking, semantic segmentation, driving assistance, and others. He holds a master's degree in computer science, and he is currently pursuing PhD.
Aleksandr Rybnikov has over 5 years of experience in C++ programming, including 3 years in the Computer Vision (CV) domain. He worked at Itseez, a company that supported and developed OpenCV, and then at Intel. He enriched OpenCV's dnn module by adding support of another two Deep Learning (DL) frameworks and many features, along with improving the existing functionality. As an engineer, he participated in CV and DL projects such as iris recognition, object detection, semantic segmentation, 6-DOF pose estimation, and digital hologram reconstruction. He has a master's degree in physics.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności