Book Image

Hands-On OpenCV 4 with Python [Video]

By : Sourav Johar
Book Image

Hands-On OpenCV 4 with Python [Video]

By: Sourav Johar

Overview of this book

<p>The scope of computer vision has been booming in the past few years and it has become a highly sought-after skill. There are tons of real-life problems just waiting to be solved with computer vision. If you want to get your hands dirty with this technology and use it to craft your own, unique solutions, then look no further because this course is made for you!</p> <p>The course is designed so you'll learn as you develop interesting apps. First you’ll learn to set up your environment, before building five exciting applications. We'll introduce you to all necessary concepts and slowly transition into the field of Artificial Intelligence (AI) and deep learning such as classification and object detection.</p> <p>This course will not only help you use OpenCV 4 but also apply your computer vision and AI skills to your projects. All you need is a basic working knowledge of Python and you’re good to go!</p> <p>The code bundle for the video course is available at <a href="https://github.com/PacktPublishing/Hands-On-OpenCV-4-with-Python" target="_blank">https://github.com/PacktPublishing/Hands-On-OpenCV-4-with-Python</a></p> <h2>Style and Approach</h2> <p>The best way to learn something new in programming is to start building as soon as possible and learning the topic as you develop. This is the exact approach we follow in this course. A hands-on, practical approach ensures that the course is never boring and you learn through interactive examples and apps. All the necessary information is conveyed as and when required, with an emphasis on where to apply it in real life.</p>
Table of Contents (6 chapters)
Chapter 3
Building a Hand Detector
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Section 4
Bounding the Hand – Contour Extraction
Once we segment the hand, we need to outline its boundaries and display it so that we can quantify its location. - Implement Contour Extraction Algorithms - Find the largest contour - Draw the contour and display the image