    "model_debug_max_sub_surgery": create_model_config(
        source=AttrDict(
            model_url="",
            meta_arch_url= "",
            infer_shape=True,
        ),
        preprocess=AttrDict(
            resize=[800, 800],
            crop=[800, 800],
            data_layout="NCHW",
            reverse_channels=False,  # RGB -> BGR 변환
            resize_with_pad=[True, "center"],
            # resize_with_pad=False,
            pad_color=[114, 114, 114],
        ),
        session=AttrDict(
            session_name="onnxrt",
            model_path='~/edgeai-tidl-tools/model_surgery/12best_origin.onnx',
            # meta_layers_names_list = "", 
            meta_layers_names_list="~edgeai-tidl-tools/examples/models/prototxt/yolo/yolov8_small_lite_640x640_20231117_model.prototxt",
            meta_arch_type=8,     
            od_type='yolo_v8',
            input_mean=[0.0, 0.0, 0.0],
            input_scale=[0.003921568627, 0.003921568627, 0.003921568627], 
            input_optimization=False,
            input_shape=[1, 3, 800, 800], 
        ),
        postprocess=AttrDict(
            formatter="DetectionBoxSL2BoxLS",
            resize_with_pad=True,
            keypoint=False,
            object6dpose=False,
            normalized_detections=False,
            shuffle_indices=None,
            squeeze_axis=None,
            ignore_index=None,
            reshape_list=[(-1, 5), (-1, 1)],
        ),
        task_type="detection",
        extra_info=AttrDict(
            od_type="YoloV5",
            framework="SSD",
            num_images=20, 
            num_classes=3,   
            label_offset_type=None,
            label_offset=1,
            label_names=["fire", "default","smoke"],
        ),
    )