Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs - Tapa blanda

Gollapudi, Sunila

 
9781484242605: Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs
Tapa blanda
ISBN 10: 1484242602 ISBN 13: 9781484242605
Editorial: Apress, 2019

Sinopsis

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 vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you'll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.

After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work.

What You Will Learn
  • Understand what computer vision is, and its overall application in intelligent automation systems
  • Discover the deep learning techniques required to build computer vision applications
  • Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy
  • Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis

Who This Book Is For
Those who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications. 


"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Sunila Gollapudi has over 17 years of experience in developing, designing and architecting data-driven solutions with a focus on the banking and financial services sector. She is currently working at  Broadridge, India as vice president. She's played various roles as chief architect, big data and AI evangelist, and mentor.
She has been a speaker at various conferences and meetups on Java and big data technologies. Her current big data and data science expertise includes Hadoop, Greenplum, MarkLogic, GemFire, ElasticSearch, Apache Spark, Splunk, R, Julia, Python (scikit-learn), Weka, MADlib, Apache Mahout, and advanced analytics techniques such as deep learning, computer vision, reinforcement, and ensemble learning.

De la contraportada

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 vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you’ll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.

After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work.

You will:
  • Understand what computer vision is, and its overall application in intelligent automation systems
  • Discover the deep learning techniques required to build computer vision applications
  • Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy
  • Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1484242602
ISBN 13 
9781484242605
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
172
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781484242629: Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Edición Destacada

ISBN 10:  1484242629 ISBN 13:  9781484242629
Editorial: Apress, 2019
Tapa blanda