Neural Network Computer Vision with OpenCV 5 by Gopi Krishna Nuti

Author:Gopi Krishna Nuti [Krishna Nuti, Gopi]
Language: eng
Format: epub, pdf
ISBN: 9789355516961
Publisher: BPB Publications
Published: 2023-01-15T00:00:00+00:00

Exercises

Implement a classification using perceptron on the iris dataset.

After training the deep learning model, store the model weights to disk. Then read them from a separate python program and perform inference on data.

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Chapter 6

OpenCV DNN Module

Introduction

In this chapter, we will delve into the OpenCV deep neural networks (DNNs) module. It is a powerful tool that combines the best aspects of both computer vision and deep learning. Over the years, this module has seen significant development, expanding its support for multiple deep learning frameworks, pre-trained models, and hardware acceleration. With a rich history of integration and enhancement, the DNN module has become an indispensable asset for building cutting-edge computer vision applications.

With a comprehensive overview of the OpenCV DNN module's key aspects, including its history, supported and unsupported layers, and essential classes, this chapter shall explore the depths of the OpenCV DNN module and explain the building blocks to powerful computer vision solutions.

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