class Visual_Processing:
    def __init__(self):
        self.image_recognition_model = None  # Pre-trained model for image recognition
        self.video_analysis_tool = None      # Tool for analyzing video content
        self.object_detection_system = None  # System to detect objects in images/videos

    def initialize_models(self):
        self.image_recognition_model = load_pretrained_image_recognition_model()
        self.video_analysis_tool = configure_video_analysis_tool()
        self.object_detection_system = setup_object_detection_system()

    def process_image(self, image_path):
        if not self.image_recognition_model:
            self.initialize_models()

        recognized_objects = recognize_objects_in_image(image_path, self.image_recognition_model)
        return recognized_objects

    def process_video(self, video_path):
        if not (self.video_analysis_tool and self.object_detection_system):
            self.initialize_models()

        analyzed_frames = analyze_video_content(video_path, self.video_analysis_tool)
        detected_objects_over_time = detect_objects_in_video(analyzed_frames, self.object_detection_system)
        return detected_objects_over_time

    def recognize_objects_in_image(self, image_path, model):
        # Implementation for recognizing objects in an image
        pass

    def analyze_video_content(self, video_path, tool):
        # Implementation for analyzing content of a video frame-by-frame
        pass

    def detect_objects_in_video(self, frames, system):
        # Implementation for detecting objects across multiple frames in a video
        pass