1. Introduction

1.1 Tutorial's goal

This tutorial aims to introduce you to the computer vision setup for your HTML projects. By the end of this tutorial, you will be able to set up, install and use necessary libraries and APIs required for implementing computer vision in your projects.

1.2 Learning outcomes

You will learn about:
- The concept of computer vision
- Essential libraries and APIs for computer vision
- How to install and use these libraries and APIs in your HTML project

1.3 Prerequisites

Basic knowledge of HTML, JavaScript, and web development is required.

2. Step-by-Step Guide

2.1 Concepts

Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images from the real world. The main library we'll use for this is tracking.js.

2.2 Libraries and APIs

Tracking.js brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we're able to do real-time color tracking, face detection and much more.

2.3 Installing and using tracking.js

You can include tracking.js into your HTML project using script tags, or you can install it via npm:

<script src="https://trackingjs.com/assets/tracking.js"></script>

or

npm install tracking.js

3. Code Examples

3.1 Color tracking

This example shows how to track a specific color (in this case, magenta) in real-time:

<script>
  // Initialize the color tracking
  tracking.ColorTracker.registerColor('magenta', function(r, g, b) {
    if (r > 50 && g < 50 && b > 50) {
      return true;
    }
    return false;
  });

  // Create a new tracker using the color 'magenta'
  var tracker = new tracking.ColorTracker(['magenta']);

  // Start tracking!
  tracking.track('#myVideo', tracker);

  // Add event listener to the tracking process
  tracker.on('track', function(event) {
    event.data.forEach(function(rect) {
      // rect contains properties x, y, width, height, color
    });
  });
</script>

4. Summary

In this tutorial, you've learned about the concept of computer vision, the tracking.js library, and how to install it and use it to track colors in real-time.

5. Practice Exercises

5.1 Try to track a different color in the previous example.
5.2 Add an event listener to the tracking process and log all the rectangles found in the console.
5.3 Experiment with other tracking.js features, like face detection.

Remember that practice is the key to mastering any skill, so keep experimenting and building with tracking.js!