RT-DETR-L_wired_table_cell_det/config.json

{
    "mode": "paddle",
    "draw_threshold": 0.5,
    "metric": "COCO",
    "use_dynamic_shape": false,
    "Global": {
        "model_name": "RT-DETR-L_wired_table_cell_det"
    },
    "arch": "DETR",
    "min_subgraph_size": 3,
    "Preprocess": [
        {
            "interp": 2,
            "keep_ratio": false,
            "target_size": [
                640,
                640
            ],
            "type": "Resize"
        },
        {
            "mean": [
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            ],
            "norm_type": "none",
            "std": [
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                1.0,
                1.0
            ],
            "type": "NormalizeImage"
        },
        {
            "type": "Permute"
        }
    ],
    "label_list": [
        "cell"
    ],
    "Hpi": {
        "backend_configs": {
            "paddle_infer": {
                "trt_dynamic_shapes": {
                    "im_shape": [
                        [
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                        ],
                        [
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                        ]
                    ],
                    "image": [
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                        ],
                        [
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                        ],
                        [
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                        ]
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                    "scale_factor": [
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                            1,
                            2
                        ],
                        [
                            1,
                            2
                        ],
                        [
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                        ]
                    ]
                },
                "trt_dynamic_shape_input_data": {
                    "im_shape": [
                        [
                            640,
                            640
                        ],
                        [
                            640,
                            640
                        ],
                        [
                            640,
                            640,
                            640,
                            640,
                            640,
                            640,
                            640,
                            640,
                            640,
                            640,
                            640,
                            640,
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                            640
                        ]
                    ],
                    "scale_factor": [
                        [
                            2,
                            2
                        ],
                        [
                            1,
                            1
                        ],
                        [
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                        ]
                    ]
                }
            },
            "tensorrt": {
                "dynamic_shapes": {
                    "im_shape": [
                        [
                            1,
                            2
                        ],
                        [
                            1,
                            2
                        ],
                        [
                            8,
                            2
                        ]
                    ],
                    "image": [
                        [
                            1,
                            3,
                            640,
                            640
                        ],
                        [
                            1,
                            3,
                            640,
                            640
                        ],
                        [
                            8,
                            3,
                            640,
                            640
                        ]
                    ],
                    "scale_factor": [
                        [
                            1,
                            2
                        ],
                        [
                            1,
                            2
                        ],
                        [
                            8,
                            2
                        ]
                    ]
                }
            }
        }
    }
}