Overview of this book
<p><span id="description" class="sugar_field">This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections: </span></p>
<ul>
<li>The Fundamentals of Image Processing </li>
<li>Applied Computer Vision</li>
<li>Object detection</li>
<li>Making Applications Smarter</li>
<li>Extending your Capabilities using OpenCV</li>
<li>Getting Hands on</li>
</ul>
<p><span id="description" class="sugar_field">Throughout this video course, three image processing libraries: Pillow, Scikit-Image, and OpenCV are used to implement different computer vision algorithms.</span></p>
<p><span id="description" class="sugar_field">The course will help you build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we look at in the course are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.</span></p>
<h2><span class="sugar_field">Style and Approach</span></h2>
<p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">Each stage of the course elaborates on various concepts and algorithms in image processing/computer vision using Python. This step-by-step practical guide can be used both as a tutorial and as a reference.</span></span></p>
