Upload the collected data on Google Drive to train your model on Google Colab. Ensure the GTA-5 window size same as in the collect_data.py Use collect_data.py to generate your custom dataset. Original dataset with 100,000 images used to trained this model can be found here Custom Dataset Discover an ever-evolving world of choices and ways to play as you climb the criminal ranks of Los Santos and Blaine County in the ultimate shared online experience. However, only 39,046 images are left after balancing the data, therefore the dataset is artificially expanded by flipping the image along the horizontal axis, and multiplying the steering angle by -1. This download was scanned by our antivirus and was rated as. This free PC program is developed for Windows XP/Vista/7/8/10 environment, 32 and 64-bit versions. The program's installer is commonly called 32.exe, Manual.exe, LaunchGTAV.exe, LaunchGTAIV.exe or etc. Grand Theft Auto-5 (turn on hood camera)ġ00,000 images with respective steering angle and throttle is collected by driving the car on the highway. Grand Theft Auto V 2.0 can be downloaded from our website for free.(you need a CUDA capable Nvidia GPU to run this demo). YOLOv3, one of the most popular object detection algorithm, is also integrated with PilotNet to add steering, throttle, and brake control as per traffic density.ĭetailed Explaination: Setup and Requirements GANTheftAuto focuses mainly on the Grand Theft Auto 5 (GTA5) game, but contains other environments. After experimenting with different convolutional neural networks, NVIDIA's PilotNet is chosen due to its faster prediction rate. The project is inspired by the work done by Sentdex. The goal of this project is to build a self-driving car with deep learning and computer vision, which can navigate in different environments. Note: This AI is trained on the highway, but still performs relatively well in the city. Autonomous Self-driving Car in GTA-5 Demo Driving on the Highway

Gta v demo