config.json

{
  "mode": "paddle",
  "draw_threshold": 0.5,
  "metric": "COCO",
  "use_dynamic_shape": false,
  "Global": {
    "model_name": "PP-DocLayoutV3"
  },
  "arch": "DETR",
  "min_subgraph_size": 3,
  "Preprocess": [
    {
      "interp": 2,
      "keep_ratio": false,
      "target_size": [800, 800],
      "type": "Resize"
    },
    {
      "mean": [0.0, 0.0, 0.0],
      "norm_type": "none",
      "std": [1.0, 1.0, 1.0],
      "type": "NormalizeImage"
    },
    {
      "type": "Permute"
    }
  ],
  "label_list": [
    "abstract",
    "algorithm",
    "aside_text",
    "chart",
    "content",
    "display_formula",
    "doc_title",
    "figure_title",
    "footer",
    "footer_image",
    "footnote",
    "formula_number",
    "header",
    "header_image",
    "image",
    "inline_formula",
    "number",
    "paragraph_title",
    "reference",
    "reference_content",
    "seal",
    "table",
    "text",
    "vertical_text",
    "vision_footnote"
  ],
  "Hpi": {
    "backend_configs": {
      "paddle_infer": {
        "trt_dynamic_shapes": {
          "image": [
            [1, 3, 800, 800],
            [1, 3, 800, 800],
            [8, 3, 800, 800]
          ],
          "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, 800, 800],
            [1, 3, 800, 800],
            [8, 3, 800, 800]
          ],
          "scale_factor": [
            [1, 2],
            [1, 2],
            [8, 2]
          ]
        }
      }
    }
  }
}