Learn OpenCV 4 by building projects : build real-world computer vision and image processing applications with OpenCV and C++

Learn OpenCV 4 by building projects : build real-world computer vision and image processing applications with OpenCV and C++

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Millán Escrivá, David (19..-....). (Egilea)
Beste egile batzuk:	Mendonça, Vinícius Godoy. (Auteur), Joshi, Prateek (19..-....).
Formatua:	E-Book
Hizkuntza:	Anglais
Argitaratua:	Birmingham : Packt Publishing, 2018.
Autres localisations:	Voir dans le Sudoc
Sarrera elektronikoa:	Accès à l'E-book

Antzeko izenburuak

OpenCV 4 Computer Vision Application Programming Cookbook : Build complex computer vision applications with OpenCV and C++
nork: Millán Escrivá, David (19..-....).
Argitaratua: (2019)

Building computer vision projects with OpenCV 4 and C++ : implement complex computer vision algorithms and explore deep learning and face detection
nork: Millán Escrivá, David (19..-....).
Argitaratua: (2019)

Machine Learning for OpenCV 4 : intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn
nork: Sharma, Aditya.
Argitaratua: (2019)

OpenCV : Computer Vision Projects with Python
nork: Howse, Joseph.
Argitaratua: (2016)

OpenCV 4 with Python Blueprints : Build creative computer vision projects with the latest version of OpenCV 4 and Python 3
nork: Gevorgyan, Menua.
Argitaratua: (2020)

Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++
nork: Shilkrot, Roy.
Argitaratua: (2018)

OpenCV 3 blueprints : expand your knowledge of computer vision by building amazing projects with OpenCV 3
nork: Howse, Joseph.
Argitaratua: (2015)

OpenCV by Example : enhance your understanding of computer vision and image processing by developing real-world projects in opencv 3
nork: Joshi, Prateek (19..-....).
Argitaratua: (2016)

Machine learning for OpenCV
nork: Beyeler, Michael (1981-....).
Argitaratua: (2017)

OpenCV essentials : acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCV
nork: Deniz Suarez, Oscar.
Argitaratua: (2014)

OpenCV with Python by Example : Buil real-world computer vision applications and develop cool demos using OpenCV for Python
nork: Joshi, Prateek (19..-....).
Argitaratua: (2015)

OpenCV with Python Blueprints : design and develop advanced computer vision projects using OpenCV with Python
nork: Beyeler, Michael (1981-....).
Argitaratua: (2015)

Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV
nork: Minichino, Joe.
Argitaratua: (2015)

Instant OpenCV for iOS : learn how to build real-time computer vision applications for the iOS platform using the OpenCV library
nork: Kornyakov, Kirill.
Argitaratua: (2013)

Mastering OpenCV 3 : get hands-on with practical Computer Vision using OpenCV 3
nork: Baggio, Daniel Lelis.
Argitaratua: (2017)

OpenCV 3 Computer Vision with Python Cookbook : Leverage the power of OpenCV 3 and Python to build computer vision applications
nork: Spizhevoy, Alexey.
Argitaratua: (2018)

Computer vision projects with OpenCV and Python 3 : six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
nork: Rever, François (1753-1828).
Argitaratua: (2018)

Learning OpenCV 3 application development
nork: Datta, Samyak.
Argitaratua: (2016)

OpenCV computer vision application programming cookbook : over 50 recipes to help your build computer vision applications in C++ using the OpenCV library
nork: Laganière, Robert (19..-....).
Argitaratua: (2014)

OpenCV 4 for Secret Agents : Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers
nork: Howse, Joseph.
Argitaratua: (2019)

OpenCV computer vision application programming cookbook : recipes to help your build computer vision applications that make the most of the popular C++ library OpenCV 3
nork: Laganière, Robert (19..-....).
Argitaratua: (2017)

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
nork: Fernández Villán, Alberto.
Argitaratua: (2019)

OpenCV Android programming by example : develop vision-aware and intelligent Android applications with the robust OpenCV library
nork: Muhammad, Amgad.
Argitaratua: (2015)

OpenCV 3.0 computer vision with Java
nork: Baggio, Daniel Lelis.
Argitaratua: (2015)

OpenCV 3.x with Python By Example : Make the most of OpenCV and Python to build applications for object recognition and augmented reality
nork: Garrido, Gabriel.
Argitaratua: (2018)

Learning OpenCV 4 Computer Vision with Python 3 : Get to grips with tools, techniques, and algorithms for computer vision and machine learning
nork: Howse, Joseph.
Argitaratua: (2020)

OpenCV for secret agents : use OpenCV in six secret projects to augment your home, car, phone, eyesight, and any photo or drawing
nork: Howse, Joseph.
Argitaratua: (2015)

Hands-on GPU-accelerated computer vision with OpenCV and CUDA
nork: Vaidya, Bhaumik.
Argitaratua: (2018)

Computer vision with OpenCV 3 and Qt5 : build visually appealing, multithreaded, cross-platform computer vision applications
nork: Tazehkandi, Amin Ahmadi.
Argitaratua: (2018)

Neural Network Computer Vision with OpenCV 5 : Build computer vision solutions using Python and DNN module
nork: Krishna Nuti, Gopi.

iOS application development with OpenCV 3
nork: Howse, Joseph.
Argitaratua: (2016)

Mastering OpenCV Android application programming : master the art of implementing computer vision algorithms on Android platforms to build robust and efficient applications
nork: Kapur, Salil.
Argitaratua: (2015)

Android application programming with OpenCV : build Android apps to capture, manipulate, and track objects in 2D and 3D
nork: Howse, Joseph.
Argitaratua: (2013)

Mastering OpenCV with practical computer vision projects : step-by-step tutorials to solve common real-world computer vision problems for desktop or mobile, from augmented reality and number plate recognition to face recognition and 3D head tracking
nork: Baggio, Daniel Lelis.
Argitaratua: (2012)

Traitement d'images et de vidéos avec OpenCV 4 : en Python : Windows, Linux, Raspberry
nork: Berger, Laurent (1963-....).
Argitaratua: (2020)

Traitement d'images et de vidéos avec OpenCV 3 : en C++ (Windows, Linux, Raspberry)
nork: Berger, Laurent (1963-....).
Argitaratua: (2017)

Raspberry Pi Computer Vision Programming : Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3
nork: Pajankar, Ashwin.
Argitaratua: (2020)

Practical Computer Vision : Extract insightful information from images using TensorFlow, Keras, and OpenCV
nork: Dadhich, Abhinav.
Argitaratua: (2018)

Artificial Intelligence for Robotics : Build intelligent robots using ROS 2, Python, OpenCV, and AIML techniques for real-world tasks
nork: Govers, Francis X..

Building Websites with OpenCms
nork: Butcher, Matt.
Argitaratua: (2004)

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