Skip to content

Latest commit

 

History

History
327 lines (273 loc) · 13.5 KB

output_file_en_us.md

File metadata and controls

327 lines (273 loc) · 13.5 KB

Overview

After executing the magic-pdf command, in addition to outputting files related to markdown, several other files unrelated to markdown will also be generated. These files will be introduced one by one.

some_pdf_layout.pdf

Each page layout consists of one or more boxes. The number at the top left of each box indicates its sequence number. Additionally, in layout.pdf, different content blocks are highlighted with different background colors.

layout example

some_pdf_spans.pdf

All spans on the page are drawn with different colored line frames according to the span type. This file can be used for quality control, allowing for quick identification of issues such as missing text or unrecognized inline formulas.

spans example

some_pdf_model.json

Structure Definition

from pydantic import BaseModel, Field
from enum import IntEnum

class CategoryType(IntEnum):
     title = 0               # Title
     plain_text = 1          # Text
     abandon = 2             # Includes headers, footers, page numbers, and page annotations
     figure = 3              # Image
     figure_caption = 4      # Image description
     table = 5               # Table
     table_caption = 6       # Table description
     table_footnote = 7      # Table footnote
     isolate_formula = 8     # Block formula
     formula_caption = 9     # Formula label

     embedding = 13          # Inline formula
     isolated = 14           # Block formula
     text = 15               # OCR recognition result


class PageInfo(BaseModel):
    page_no: int = Field(description="Page number, the first page is 0", ge=0)
    height: int = Field(description="Page height", gt=0)
    width: int = Field(description="Page width", ge=0)

class ObjectInferenceResult(BaseModel):
    category_id: CategoryType = Field(description="Category", ge=0)
    poly: list[float] = Field(description="Quadrilateral coordinates, representing the coordinates of the top-left, top-right, bottom-right, and bottom-left points respectively")
    score: float = Field(description="Confidence of the inference result")
    latex: str | None = Field(description="LaTeX parsing result", default=None)
    html: str | None = Field(description="HTML parsing result", default=None)

class PageInferenceResults(BaseModel):
     layout_dets: list[ObjectInferenceResult] = Field(description="Page recognition results", ge=0)
     page_info: PageInfo = Field(description="Page metadata")


# The inference results of all pages, ordered by page number, are stored in a list as the inference results of MinerU
inference_result: list[PageInferenceResults] = []

The format of the poly coordinates is [x0, y0, x1, y1, x2, y2, x3, y3], representing the coordinates of the top-left, top-right, bottom-right, and bottom-left points respectively. Poly Coordinate Diagram

example

[
    {
        "layout_dets": [
            {
                "category_id": 2,
                "poly": [
                    99.1906967163086,
                    100.3119125366211,
                    730.3707885742188,
                    100.3119125366211,
                    730.3707885742188,
                    245.81326293945312,
                    99.1906967163086,
                    245.81326293945312
                ],
                "score": 0.9999997615814209
            }
        ],
        "page_info": {
            "page_no": 0,
            "height": 2339,
            "width": 1654
        }
    },
    {
        "layout_dets": [
            {
                "category_id": 5,
                "poly": [
                    99.13092803955078,
                    2210.680419921875,
                    497.3183898925781,
                    2210.680419921875,
                    497.3183898925781,
                    2264.78076171875,
                    99.13092803955078,
                    2264.78076171875
                ],
                "score": 0.9999997019767761
            }
        ],
        "page_info": {
            "page_no": 1,
            "height": 2339,
            "width": 1654
        }
    }
]

some_pdf_middle.json

Field Name Description
pdf_info list, each element is a dict representing the parsing result of each PDF page, see the table below for details
_parse_type ocr | txt, used to indicate the mode used in this intermediate parsing state
_version_name string, indicates the version of magic-pdf used in this parsing

pdf_info

Field structure description

Field Name Description
preproc_blocks Intermediate result after PDF preprocessing, not yet segmented
layout_bboxes Layout segmentation results, containing layout direction (vertical, horizontal), and bbox, sorted by reading order
page_idx Page number, starting from 0
page_size Page width and height
_layout_tree Layout tree structure
images list, each element is a dict representing an img_block
tables list, each element is a dict representing a table_block
interline_equations list, each element is a dict representing an interline_equation_block
discarded_blocks List, block information returned by the model that needs to be dropped
para_blocks Result after segmenting preproc_blocks

In the above table, para_blocks is an array of dicts, each dict representing a block structure. A block can support up to one level of nesting.


block

The outer block is referred to as a first-level block, and the fields in the first-level block include:

Field Name Description
type Block type (table|image)
bbox Block bounding box coordinates
blocks list, each element is a dict representing a second-level block

There are only two types of first-level blocks: "table" and "image". All other blocks are second-level blocks.

The fields in a second-level block include:

Field Name Description
type Block type
bbox Block bounding box coordinates
lines list, each element is a dict representing a line, used to describe the composition of a line of information

Detailed explanation of second-level block types

type Description
image_body Main body of the image
image_caption Image description text
table_body Main body of the table
table_caption Table description text
table_footnote Table footnote
text Text block
title Title block
interline_equation Block formula

line

The field format of a line is as follows:

Field Name Description
bbox Bounding box coordinates of the line
spans list, each element is a dict representing a span, used to describe the composition of the smallest unit

span

Field Name Description
bbox Bounding box coordinates of the span
type Type of the span
content | img_path Text spans use content, chart spans use img_path to store the actual text or screenshot path information

The types of spans are as follows:

type Description
image Image
table Table
text Text
inline_equation Inline formula
interline_equation Block formula

Summary

A span is the smallest storage unit for all elements.

The elements stored within para_blocks are block information.

The block structure is as follows:

First-level block (if any) -> Second-level block -> Line -> Span

example

{
    "pdf_info": [
        {
            "preproc_blocks": [
                {
                    "type": "text",
                    "bbox": [
                        52,
                        61.956024169921875,
                        294,
                        82.99800872802734
                    ],
                    "lines": [
                        {
                            "bbox": [
                                52,
                                61.956024169921875,
                                294,
                                72.0000228881836
                            ],
                            "spans": [
                                {
                                    "bbox": [
                                        54.0,
                                        61.956024169921875,
                                        296.2261657714844,
                                        72.0000228881836
                                    ],
                                    "content": "dependent on the service headway and the reliability of the departure ",
                                    "type": "text",
                                    "score": 1.0
                                }
                            ]
                        }
                    ]
                }
            ],
            "layout_bboxes": [
                {
                    "layout_bbox": [
                        52,
                        61,
                        294,
                        731
                    ],
                    "layout_label": "V",
                    "sub_layout": []
                }
            ],
            "page_idx": 0,
            "page_size": [
                612.0,
                792.0
            ],
            "_layout_tree": [],
            "images": [],
            "tables": [],
            "interline_equations": [],
            "discarded_blocks": [],
            "para_blocks": [
                {
                    "type": "text",
                    "bbox": [
                        52,
                        61.956024169921875,
                        294,
                        82.99800872802734
                    ],
                    "lines": [
                        {
                            "bbox": [
                                52,
                                61.956024169921875,
                                294,
                                72.0000228881836
                            ],
                            "spans": [
                                {
                                    "bbox": [
                                        54.0,
                                        61.956024169921875,
                                        296.2261657714844,
                                        72.0000228881836
                                    ],
                                    "content": "dependent on the service headway and the reliability of the departure ",
                                    "type": "text",
                                    "score": 1.0
                                }
                            ]
                        }
                    ]
                }
            ]
        }
    ],
    "_parse_type": "txt",
    "_version_name": "0.6.1"
}