Python / FastAI CNN - Playing Fall Guys

This code was used to gather and process data while playing the game Fall Guys. The network was then trained using the FastAI Libary.

Setup

• I used dual monitors with a game playing at a 800 X 600 resolution on one screen.
• You can start data collection by running CreateData.py
• Pressing B will start the screen / key grab. These will be stored in lists until the episode is done.
• Once the episode ( Round ) ends pressing h will stop the screen / key grab process and all data will be moved to a numpy array.
• Then I used a script in util folder called CreateImages.py to put then onto a disk drive in folders corresponding to their actions.

Train

• Use the file called training.py
• Point it at your image directory

Run Agents

• Fully random agent is RandomAgent.py
• Trained Agent is TrainedAgent.py
• You will have to load in the pkl created from training.

Inputs (Observations)

• Uses inputs to the nural network (Observations) of pixes in the game.
• 224 X 224
• Line detection

Contact!

• YouTube Clarity Coders
• Chat with me! Discord