Python Object Detection Tutorial: Control Atari 2600 Pacman with a Pen! | Demo

In this Python object detection tutorial, you'll learn how to control the classic video game Atari 2600 Pacman using a regular pen! By using object detection and color HSV masking techniques with OpenCV, we can track the pen's movements and simulate a joystick to play the game.

In this video, we'll take you through the step-by-step process of creating this innovative gaming experience. We'll show you how to code and implement the object detection and masking techniques, and then demonstrate how you can use the pen to control Pacman's movements in the game.

Not only is this project fun and exciting, it's also a great way to learn more about Python, OpenCV, and object detection. You'll also gain some insight into how object detection can be used in other real-world applications.

Join us as we explore the world of retro gaming in a new and modern way!

This is a demo video . You can watch a full tutorial in this link : https://youtu.be/EMb1gpVJIKE

You can find the code here : https://github.com/feitgemel/Object-Detection/tree/main/PacManOpenCV

You can find more similar videos here : https://www.youtube.com/watch?v=gYg9ZuHm6vU&list=PLdkryDe59y4bntrhmeAjPqmn8KaOJRL6J

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : http://bit.ly/3HeDy1V
Perfect course for every computer vision enthusiastic

Atari Joystick (perfect quality, my own experience ) : https://amzn.to/3924LDf

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