Book

Machine Learning for OpenCV 4

Machine Learning for OpenCV 4, Second Edition will help the readers to implement and train machine learning algorithms with OpenCV 4 and scikit-learn in Python. By the end of this book, you will be able to build intelligent applications with OpenCV 4 using various optimization techniques for your machine learning algorithms.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

14h

Language

English

About Book

Who Is This Book For?

This book is for Computer Vision professionals, machine learning developers, or anyone who wants to learn machine learning algorithms and implement them using OpenCV 4. If you want to build real-world Computer Vision and image processing applications powered by machine learning, then this book is for you. Working knowledge of Python programming is required to get the most out of this book.

Book content

chapters 14h total length

A Taste of Machine Learning

Working with Data in OpenCV

First Steps in Supervised Learning

Representing Data and Engineering Features

Using Decision Trees to Make a Medical Diagnosis

Detecting Pedestrians with Support Vector Machines

Implementing a Spam Filter with Bayesian Learning

Discovering Hidden Structures with Unsupervised Learning

Using Deep Learning to Classify Handwritten Digits

Ensemble Methods for Classification

Selecting the Right Model with Hyperparameter Tuning

Using OpenVINO with OpenCV

Conclusion

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