Building a Self-Driving Car in Atari 2600 Grand Prix Game – Full tutorial
Take your Python skills to the next level with this tutorial on using computer vision and OpenCV to play and control an Atari 2600 Grandprix game.
With this tutorial, you'll learn how to detect the cars in the game using OpenCV, control the car using keyboard commands, and create a self-driving car program that avoids obstacles.
Whether you're a beginner or an experienced programmer, this tutorial will help you enhance your knowledge of computer vision, game development, and artificial intelligence.
If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here :
Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks
Perfect course for every computer vision enthusiastic
Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
You can find the link for the tutorial here :
Creating a Self-Driving Car in Atari 2600 Grand Prix | Full tutorial
In this Python tutorial, you'll learn how to run an Atari 2600 Grandprix game and use computer vision and OpenCV to detect the cars in the game. You'll also ...
The code is in the video description.
Enjoy
Eran
#Atari #python #opencv #computervision
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