config.json

{
    "mode": "paddle",
    "draw_threshold": 0.5,
    "metric": "COCO",
    "use_dynamic_shape": false,
    "Global": {
        "model_name": "PicoDet-S_layout_17cls"
    },
    "arch": "GFL",
    "min_subgraph_size": 3,
    "Preprocess": [
        {
            "interp": 2,
            "keep_ratio": false,
            "target_size": [
                480,
                480
            ],
            "type": "Resize"
        },
        {
            "is_scale": true,
            "mean": [
                0.485,
                0.456,
                0.406
            ],
            "std": [
                0.229,
                0.224,
                0.225
            ],
            "type": "NormalizeImage"
        },
        {
            "type": "Permute"
        }
    ],
    "label_list": [
        "paragraph_title",
        "image",
        "text",
        "number",
        "abstract",
        "content",
        "figure_title",
        "formula",
        "table",
        "table_title",
        "reference",
        "doc_title",
        "footnote",
        "header",
        "algorithm",
        "footer",
        "seal"
    ],
    "Hpi": {
        "backend_configs": {
            "paddle_infer": {
                "trt_dynamic_shapes": {
                    "image": [
                        [
                            1,
                            3,
                            480,
                            480
                        ],
                        [
                            1,
                            3,
                            480,
                            480
                        ],
                        [
                            8,
                            3,
                            480,
                            480
                        ]
                    ],
                    "scale_factor": [
                        [
                            1,
                            2
                        ],
                        [
                            1,
                            2
                        ],
                        [
                            8,
                            2
                        ]
                    ]
                },
                "trt_dynamic_shape_input_data": {
                    "scale_factor": [
                        [
                            2,
                            2
                        ],
                        [
                            1,
                            1
                        ],
                        [
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67,
                            0.67
                        ]
                    ]
                }
            },
            "tensorrt": {
                "dynamic_shapes": {
                    "image": [
                        [
                            1,
                            3,
                            480,
                            480
                        ],
                        [
                            1,
                            3,
                            480,
                            480
                        ],
                        [
                            8,
                            3,
                            480,
                            480
                        ]
                    ],
                    "scale_factor": [
                        [
                            1,
                            2
                        ],
                        [
                            1,
                            2
                        ],
                        [
                            8,
                            2
                        ]
                    ]
                }
            }
        }
    },
    "NMS": {
        "keep_top_k": 100,
        "name": "MultiClassNMS",
        "nms_threshold": 0.5,
        "nms_top_k": 1000,
        "score_threshold": 0.3
    },
    "fpn_stride": [
        8,
        16,
        32,
        64
    ]
}