If you need help configuring your development environment for OpenCV, I highly recommend that you read my pip install OpenCV guide - it will have you up and running in a matter of minutes. Luckily, OpenCV is pip-installable: $ pip install opencv-contrib-python In order to learn the basics of augmented reality, you need to have the OpenCV library installed. In this tutorial you will learn the basics of augmented reality with OpenCV. We’ve made incredible strides in a short amount of time - and I believe the best is yet to come (and will likely be coming in the next 10-20 years).īut before we can start building state-of-the-art augmented reality applications, we first need to learn the fundamentals. While augmented reality (as we understand it today) has existed since the late 1980s/early 1990s, it’s still very much in its infancy.

Players then must capture these Pokemon and collect all of them.Įntire companies have been built surrounding augmented reality and virtual reality applications, including Oculus and MagicLeap. The Pokemon Go app places creatures (called Pokemon) inside this virtual world. Players then observe the world through their camera, walking through real-world environments, including city streets, tranquil parks, and crowded bars and restaurants.

To play Pokemon Go, users open the app on their smartphone, which then accesses their camera. Figure 2: The popular Pokemon Go app is a great example of computer vision-based augmented reality ( image source).

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