collectdata.py

import numpy as np
from grabscreen import grab_screen
import cv2
import time
from getkeys import key_check
import os

def keys_to_output(keys):
    #[forward,jump,mouse_movement_left,mouse_movement_right)]
    output = [0,0,0]
    
    if 'W' in keys:
        output[0] = 1
    elif 'LEFT' in keys:
        output[1] = 1
    elif 'RIGHT' in keys:
        output[2] = 1
    return output

file_name = 'training_data.npy'

if os.path.isfile(file_name):
    print('File exists, loading previous data!')
    training_data = list(np.load(file_name))
else:
    print('File does not exist, starting fresh!')
    training_data = []

def main():

    for i in list(range(4))[::-1]:
        print(i+1)
        time.sleep(1)


    paused = False
    while(True):

        if not paused:
            # 800x600 windowed mode
            screen = grab_screen(region=(0,30,800,630))
            last_time = time.time()
            screen = cv2.cvtColor(screen, cv2.COLOR_BGR2GRAY)
            screen = cv2.resize(screen, (80,63))
            # resize to something a bit more acceptable for a CNN
            keys = key_check()
            output = keys_to_output(keys)
            training_data.append([screen,output])
            
            if len(training_data) % 500 == 0:
                print(len(training_data))
                np.save(file_name,training_data)

        keys = key_check()
        if 'T' in keys:
            if paused:
                paused = False
                print('unpaused!')
                time.sleep(1)
            else:
                print('Pausing!')
                paused = True
                time.sleep(1)

main()