Overview

Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition. This book offers a practical roadmap to explore the nuances of image processing with detailed discussions on each topic, supported by hands-on Python code examples. The readers will learn the basics of neural networks, deep learning and CNNs by using deep learning frameworks like Keras, Tensorflow, PyTorch, Caffe etc. They will be able to utilize OpenCV DNN module to classify images by using models like Inception V3, Resnet 101, Mobilenet V2. Moreover, the book will help to successfully Implement object detection using YOLOv3, SSD and R-CNN models.

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Gopi Krishna Nuti is an experienced professional with 21 years of experience in IT industry. He has done his B. Tech in Computer Science from Andhra University, M.S in Business Analytics from State University of New York at Buffalo and an Executive MBA from Amrita University, Bengaluru. He has worked extensively in analytics and software development projects and has delivered award winning products and solutions.

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