Python_plays_GTA still developement

This is a fun project with python to explore the uses of machine learning in GTA 5. There are several steps involve for this to work.

1. We need to a write python programs that can take the input from the screen and process that data to further use.
2. We can use Re inforcement Learning or any other logical algorithm that can train our model.
3. Make sure that your pc and python is able to give 'keyboard_press' as output to the game.
4. When it is sure that the output of 'keyboard_press' to your game as input.
5. Then use numpy and opencv to capture all the frame as feature sets with keyboard press as lable value and save this files to use as input for your model.
6. We need to use the fastest way to take screenshots as input atleast 30+ fps.
7. Still developement