IMAGE_SIZE = (224, 224) # ①
CELL_SIZE = 32          # ②

def convert_to_corner_coordinates(x, y, bbox, image_size):# ③
    bbox_x = (CELL_SIZE * x + bbox[0] * CELL_SIZE) * image_size[0] / IMAGE_SIZE[0]
    bbox_y = (CELL_SIZE * y + bbox[1] * CELL_SIZE) * image_size[1] / IMAGE_SIZE[1]
    bbox_w = bbox[2] * image_size[0]
    bbox_h = bbox[3] * image_size[1]
    
    min_x = int(bbox_x - bbox_w/2)
    min_y = int(bbox_y - bbox_h/2)
    max_x = int(bbox_x + bbox_w/2)
    max_y = int(bbox_y + bbox_h/2)
    
    return [min_x, min_y, max_x, max_y]

def process_single_bbox(x, y, bbox, image_size, classes_score, class_names): # ④
    idx_highest_score = np.argmax(classes_score)
    highest_score = classes_score[idx_highest_score]
    highest_score_name = class_names[idx_highest_score]
    
    corner_coords = convert_to_corner_coordinates(x, y, bbox, image_size)
    
    return corner_coords + [highest_score, highest_score_name]