fehimornek/DeepForSpeed
ConvNet learns to play Need For Speed
This project helps AI researchers and students test self-driving car algorithms in a simulated, game-based environment. It takes screen captures from Need For Speed: Most Wanted and controller inputs (steering, acceleration) as data, training a convolutional neural network to drive autonomously. The output is a model that can control a car in the game.
247 stars. No commits in the last 6 months.
Use this if you are an AI student or researcher looking for a fun and accessible platform to experiment with and benchmark different neural network architectures for autonomous driving.
Not ideal if you need a highly accurate, real-world driving simulator or a production-ready autonomous driving solution.
Stars
247
Forks
24
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 19, 2022
Commits (30d)
0
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