Learn Computer Vision Using OpenCV With Deep Learning CNNs and RNNs

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer visi...

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Detalles Bibliográficos
Autor principal:	Gollapudi, Sunila. author (author)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2019.
Edición:	1st ed. 2019.
Materias:	Artificial intelligence. Python (Computer program language). Open source software. Computer programming. Artificial Intelligence. Python. Open Source.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630492106719

Tabla de Contenidos:

Chapter 1: Artificial Intelligence and Computer Vision
Chapter 2: OpenCV with Python
Chapter 3: Deep learning for Computer Vision
Chapter 4: Image Manipulation and Segmentation
Chapter 5 : Object Detection and Recognition
Chapter 6: Motion Analysis and Tracking. .

Learn Computer Vision Using OpenCV With Deep Learning CNNs and RNNs

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