def METHOD_NAME(boxes, scores, center_point_box,
                            max_output_boxes_per_class, iou_threshold,
                            score_threshold):
    model = make_onnx_model(boxes.shape, scores.shape, center_point_box)
    session = ort.InferenceSession(model, providers=["CPUExecutionProvider"])
    outputs = session.run(None, {
        "boxes": boxes,
        "scores": scores,
        "max_output_boxes_per_class": [max_output_boxes_per_class],
        "iou_threshold": [iou_threshold],
        "score_threshold": [score_threshold]
    })
    return outputs[0]