I have this code here and I still need to implement the actual logic for identifying features or patterns in local player and enemy images based on your requirements. But how can I do this? I already have the frames annoted with boxes and labels. Like localPlayer label above the box, enemy label above the box. Can you make it so the AI understands this boxes and what's above them (labels) and try to replicate these boxes then in real time in the game, like a wallhack

import os
import cv2
import pygetwindow as gw
from PIL import ImageGrab
import numpy as np
import time

MAX_EPISODE_LENGTH = 1000  # Define MAX_EPISODE_LENGTH here

# Function to check if the game is open
def is_game_open():
    game_window = gw.getWindowsWithTitle('Superfighters Deluxe')
    return bool(game_window)

def draw_boxes(frame, local_player_box, enemy_box):
    # Draw dynamic boxes based on local player and enemy coordinates
    color = (0, 255, 0)  # Green color for bounding boxes (you can adjust this)

    if local_player_box is not None:
        x_lp, y_lp, w_lp, h_lp = local_player_box
        cv2.rectangle(frame, (x_lp, y_lp), (x_lp + w_lp, y_lp + h_lp), color, 2)
        cv2.putText(frame, "localPlayer", (x_lp, y_lp - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)

    if enemy_box is not None:
        x_enemy, y_enemy, w_enemy, h_enemy = enemy_box
        cv2.rectangle(frame, (x_enemy, y_enemy), (x_enemy + w_enemy, y_enemy + h_enemy), color, 2)
        cv2.putText(frame, "enemy", (x_enemy, y_enemy - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)

    cv2.imshow("Annotated Frame", frame)
    cv2.waitKey(1)

def process_frame(frame):
    # Placeholder for processing logic to understand local players and enemies
    # Replace this with your actual logic using a trained model

    # Example: Identify local player and enemy based on some conditions
    local_player_box = (50, 50, 100, 100)
    enemy_box = (150, 150, 100, 100)

    local_player_image = frame[local_player_box[1]:local_player_box[1] + local_player_box[3],
                                     local_player_box[0]:local_player_box[0] + local_player_box[2]]
    enemy_image = frame[enemy_box[1]:enemy_box[1] + enemy_box[3],
                               enemy_box[0]:enemy_box[0] + enemy_box[2]]

    # Add your logic to identify features or patterns in local_player_image and enemy_image
    # For example, you can use a pre-trained model, image processing, etc.

    # Placeholder output (replace with your actual output)
    local_player_detected = True
    enemy_detected = True

    return local_player_detected, enemy_detected

def visualize_and_process_frames():
    try:
        game_window = gw.getWindowsWithTitle('Superfighters Deluxe')[0]

        # Initialize variables for dynamic box coordinates
        local_player_box = None
        enemy_box = None

        for t in range(6, MAX_EPISODE_LENGTH, 6):
            frame = np.array(ImageGrab.grab(bbox=(game_window.left, game_window.top, game_window.right, game_window.bottom)))

            # Process the frame
            local_player_detected, enemy_detected = process_frame(frame)

            # Update dynamic box coordinates based on detection results
            if local_player_detected:
                # Replace these values with the actual logic from your detection model
                local_player_box = (50, 50, 100, 100)
            if enemy_detected:
                # Replace these values with the actual logic from your detection model
                enemy_box = (150, 150, 100, 100)

            # Visualize the frame with dynamic boxes
            draw_boxes(frame, local_player_box, enemy_box)

            # Print the results (replace with your actual logic)
            if local_player_detected:
                print("Local player detected!")
            if enemy_detected:
                print("Enemy detected!")

            time.sleep(0.1)  # Adjust the delay as needed for a smooth display

            cv2.waitKey(1)

        print("Done watching all frames. Press Ctrl + C to exit.")

        while True:
            cv2.waitKey(1)

    except KeyboardInterrupt:
        print("Script interrupted by user. Exiting...")

if __name__ == "__main__":
    if is_game_open():
        visualize_and_process_frames()
    else:
        print("Superfighters Deluxe is not open. Please open the game and try again.")