main.py

import time
import numpy as np
from PIL import ImageGrab
import keyboard


def capture_screen():
    start_time = 0
    filename = ''

    while True:
        if keyboard.is_pressed('F7') and start_time == 0:  # Check if F7 is pressed to start capturing
            start_time = int(time.time())  # Record start time
            filename = 'trainingData_{}.txt'.format(start_time)
            break

    while True:
        try:
            if keyboard.is_pressed('F8'):  # Check if F7 is pressed to stop capturing
                break

            # Capture entire screen
            screenshot = ImageGrab.grab()

            # Resize to 128x128
            screenshot = screenshot.resize((128, 64))

            # Convert to grayscale
            grayscale_img = screenshot.convert('L')

            # Convert image to numpy array
            grayscale_array = np.array(grayscale_img)

            # Normalize pixel values between 0 and 1 and round to 2 decimal places
            grayscale_array = np.round(grayscale_array / 255.0, 1)

            # Flatten array to 1D
            flattened_array = grayscale_array.flatten()

            # Save the image with two decimal place precision
            screenshot.save('captured_image.png')

            # Capture WASD keys
            keys = [
                int(keyboard.is_pressed(key)) for key in ['w', 'a', 's', 'd']
            ]

            # Append to training data file with Unix time
            with open(filename, 'a') as f:
                f.write("{data}\n")
                f.write(str(flattened_array.tolist()) + '\n')
                f.write("{action}\n")
                f.write(str(keys) + '\n')

            # Wait for 0.1 seconds
            time.sleep(0.1)

        except KeyboardInterrupt:
            print("Stopping screen capture.")
            break


if __name__ == "__main__":
    while True:
        capture_screen()