Learn Computer Vision Using OpenCV With Deep Learning CNNs and RNNs /

• Main Author: Gollapudi, Sunila (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Python (Computer program language).; Open source software.; Computer programming.; Artificial Intelligence.; Python.; Open Source.

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...

Table of Contents:

• 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. .