Merge pull request #966 from opendatalab/dev

Dev to 0.9.3

magic_pdf/model/pek_sub_modules/structeqtable/StructTableModel.py → magic_pdf/model/sub_modules/table/structeqtable/struct_eqtable.py

-import re
-
 import torch
 from struct_eqtable import build_model
 
+from magic_pdf.model.sub_modules.table.table_utils import minify_html
+
 
 class StructTableModel:
     def __init__(self, model_path, max_new_tokens=1024, max_time=60):
@@ -31,15 +31,7 @@ class StructTableModel:
         )
 
         if output_format == "html":
-            results = [self.minify_html(html) for html in results]
+            results = [minify_html(html) for html in results]
 
         return results
 
-    def minify_html(self, html):
-        # 移除多余的空白字符
-        html = re.sub(r'\s+', ' ', html)
-        # 移除行尾的空白字符
-        html = re.sub(r'\s*>\s*', '>', html)
-        # 移除标签前的空白字符
-        html = re.sub(r'\s*<\s*', '<', html)
-        return html.strip()
\ No newline at end of file

magic_pdf/model/sub_modules/table/table_utils.py

+import re
+
+
+def minify_html(html):
+    # 移除多余的空白字符
+    html = re.sub(r'\s+', ' ', html)
+    # 移除行尾的空白字符
+    html = re.sub(r'\s*>\s*', '>', html)
+    # 移除标签前的空白字符
+    html = re.sub(r'\s*<\s*', '<', html)
+    return html.strip()
\ No newline at end of file

magic_pdf/model/ppTableModel.py → magic_pdf/model/sub_modules/table/tablemaster/tablemaster_paddle.py

@@ -7,7 +7,7 @@ from PIL import Image
 import numpy as np
 
 
-class ppTableModel(object):
+class TableMasterPaddleModel(object):
     """
         This class is responsible for converting image of table into HTML format using a pre-trained model.
 

magic_pdf/para/para_split_v3.py

@@ -77,14 +77,12 @@ def __is_list_or_index_block(block):
 
         # 如果首行左边不顶格而右边顶格,末行左边顶格而右边不顶格 （第一行可能可以右边不顶格）
         if (first_line['bbox'][0] - block['bbox_fs'][0] > line_height / 2 and
-                # block['bbox_fs'][2] - first_line['bbox'][2] < line_height and
                 abs(last_line['bbox'][0] - block['bbox_fs'][0]) < line_height / 2 and
                 block['bbox_fs'][2] - last_line['bbox'][2] > line_height
         ):
             multiple_para_flag = True
 
         for line in block['lines']:
-
             line_mid_x = (line['bbox'][0] + line['bbox'][2]) / 2
             block_mid_x = (block['bbox_fs'][0] + block['bbox_fs'][2]) / 2
             if (
@@ -102,13 +100,13 @@ def __is_list_or_index_block(block):
                 if span_type == ContentType.Text:
                     line_text += span['content'].strip()
 
+            # 添加所有文本，包括空行，保持与block['lines']长度一致
             lines_text_list.append(line_text)
 
             # 计算line左侧顶格数量是否大于2，是否顶格用abs(block['bbox_fs'][0] - line['bbox'][0]) < line_height/2 来判断
             if abs(block['bbox_fs'][0] - line['bbox'][0]) < line_height / 2:
                 left_close_num += 1
             elif line['bbox'][0] - block['bbox_fs'][0] > line_height:
-                # logger.info(f"{line_text}, {block['bbox_fs']}, {line['bbox']}")
                 left_not_close_num += 1
 
             # 计算右侧是否顶格
@@ -117,7 +115,6 @@ def __is_list_or_index_block(block):
             else:
                 # 右侧不顶格情况下是否有一段距离，拍脑袋用0.3block宽度做阈值
                 closed_area = 0.26 * block_weight
-                # closed_area = 5 * line_height
                 if block['bbox_fs'][2] - line['bbox'][2] > closed_area:
                     right_not_close_num += 1
 
@@ -128,6 +125,7 @@ def __is_list_or_index_block(block):
         num_start_count = 0
         num_end_count = 0
         flag_end_count = 0
+
         if len(lines_text_list) > 0:
             for line_text in lines_text_list:
                 if len(line_text) > 0:
@@ -138,11 +136,10 @@ def __is_list_or_index_block(block):
                     if line_text[-1].isdigit():
                         num_end_count += 1
 
-            if flag_end_count / len(lines_text_list) >= 0.8:
-                line_end_flag = True
-
             if num_start_count / len(lines_text_list) >= 0.8 or num_end_count / len(lines_text_list) >= 0.8:
                 line_num_flag = True
+            if flag_end_count / len(lines_text_list) >= 0.8:
+                line_end_flag = True
 
         # 有的目录右侧不贴边, 目前认为左边或者右边有一边全贴边，且符合数字规则极为index
         if ((left_close_num / len(block['lines']) >= 0.8 or right_close_num / len(block['lines']) >= 0.8)
@@ -176,7 +173,7 @@ def __is_list_or_index_block(block):
                 # 这种是大部分line item 都有结束标识符的情况，按结束标识符区分不同item
                 elif line_end_flag:
                     for i, line in enumerate(block['lines']):
-                        if lines_text_list[i][-1] in LIST_END_FLAG:
+                        if len(lines_text_list[i]) > 0 and lines_text_list[i][-1] in LIST_END_FLAG:
                             line[ListLineTag.IS_LIST_END_LINE] = True
                             if i + 1 < len(block['lines']):
                                 block['lines'][i + 1][ListLineTag.IS_LIST_START_LINE] = True
@@ -187,17 +184,18 @@ def __is_list_or_index_block(block):
                         if line_start_flag:
                             line[ListLineTag.IS_LIST_START_LINE] = True
                             line_start_flag = False
-                        # elif abs(block['bbox_fs'][2] - line['bbox'][2]) > line_height:
+
                         if abs(block['bbox_fs'][2] - line['bbox'][2]) > 0.1 * block_weight:
                             line[ListLineTag.IS_LIST_END_LINE] = True
                             line_start_flag = True
-            # 一种有缩进的特殊有序list,start line 左侧不贴边且以数字开头，end line 以 IS_LIST_END_LINE 结尾且数量和start line 一致
-            elif num_start_count >= 2 and num_start_count == flag_end_count:  # 简单一点先不考虑左侧不贴边的情况
+            # 一种有缩进的特殊有序list,start line 左侧不贴边且以数字开头，end line 以 IS_LIST_END_FLAG 结尾且数量和start line 一致
+            elif num_start_count >= 2 and num_start_count == flag_end_count:
                 for i, line in enumerate(block['lines']):
-                    if lines_text_list[i][0].isdigit():
-                        line[ListLineTag.IS_LIST_START_LINE] = True
-                    if lines_text_list[i][-1] in LIST_END_FLAG:
-                        line[ListLineTag.IS_LIST_END_LINE] = True
+                    if len(lines_text_list[i]) > 0:
+                        if lines_text_list[i][0].isdigit():
+                            line[ListLineTag.IS_LIST_START_LINE] = True
+                        if lines_text_list[i][-1] in LIST_END_FLAG:
+                            line[ListLineTag.IS_LIST_END_LINE] = True
             else:
                 # 正常有缩进的list处理
                 for line in block['lines']:

magic_pdf/pdf_parse_union_core_v2.py

@@ -164,8 +164,8 @@ class ModelSingleton:
 
 
 def do_predict(boxes: List[List[int]], model) -> List[int]:
-    from magic_pdf.model.v3.helpers import (boxes2inputs, parse_logits,
-                                            prepare_inputs)
+    from magic_pdf.model.sub_modules.reading_oreder.layoutreader.helpers import (boxes2inputs, parse_logits,
+                                                                                 prepare_inputs)
 
     inputs = boxes2inputs(boxes)
     inputs = prepare_inputs(inputs, model)
@@ -206,7 +206,7 @@ def cal_block_index(fix_blocks, sorted_bboxes):
                 del block['real_lines']
 
         import numpy as np
-        from magic_pdf.model.v3.xycut import recursive_xy_cut
+        from magic_pdf.model.sub_modules.reading_oreder.layoutreader.xycut import recursive_xy_cut
 
         random_boxes = np.array(block_bboxes)
         np.random.shuffle(random_boxes)

magic_pdf/resources/model_config/model_configs.yaml

@@ -4,4 +4,5 @@ weights:
   yolo_v8_mfd: MFD/YOLO/yolo_v8_ft.pt
   unimernet_small: MFR/unimernet_small
   struct_eqtable: TabRec/StructEqTable
-  tablemaster: TabRec/TableMaster
+  tablemaster: TabRec/TableMaster
\ No newline at end of file
+  rapid_table: TabRec/RapidTable
\ No newline at end of file

magic_pdf/tools/common.py

@@ -14,6 +14,9 @@ from magic_pdf.pipe.TXTPipe import TXTPipe
 from magic_pdf.pipe.UNIPipe import UNIPipe
 from magic_pdf.rw.AbsReaderWriter import AbsReaderWriter
 from magic_pdf.rw.DiskReaderWriter import DiskReaderWriter
+import fitz
+# from io import BytesIO
+# from pypdf import PdfReader, PdfWriter
 
 
 def prepare_env(output_dir, pdf_file_name, method):
@@ -26,6 +29,42 @@ def prepare_env(output_dir, pdf_file_name, method):
     return local_image_dir, local_md_dir
 
 
+# def convert_pdf_bytes_to_bytes_by_pypdf(pdf_bytes, start_page_id=0, end_page_id=None):
+#     # 将字节数据包装在 BytesIO 对象中
+#     pdf_file = BytesIO(pdf_bytes)
+#     # 读取 PDF 的字节数据
+#     reader = PdfReader(pdf_file)
+#     # 创建一个新的 PDF 写入器
+#     writer = PdfWriter()
+#     # 将所有页面添加到新的 PDF 写入器中
+#     end_page_id = end_page_id if end_page_id is not None and end_page_id >= 0 else len(reader.pages) - 1
+#     if end_page_id > len(reader.pages) - 1:
+#         logger.warning("end_page_id is out of range, use pdf_docs length")
+#         end_page_id = len(reader.pages) - 1
+#     for i, page in enumerate(reader.pages):
+#         if start_page_id <= i <= end_page_id:
+#             writer.add_page(page)
+#     # 创建一个字节缓冲区来存储输出的 PDF 数据
+#     output_buffer = BytesIO()
+#     # 将 PDF 写入字节缓冲区
+#     writer.write(output_buffer)
+#     # 获取字节缓冲区的内容
+#     converted_pdf_bytes = output_buffer.getvalue()
+#     return converted_pdf_bytes
+
+
+def convert_pdf_bytes_to_bytes_by_pymupdf(pdf_bytes, start_page_id=0, end_page_id=None):
+    document = fitz.open("pdf", pdf_bytes)
+    output_document = fitz.open()
+    end_page_id = end_page_id if end_page_id is not None and end_page_id >= 0 else len(document) - 1
+    if end_page_id > len(document) - 1:
+        logger.warning("end_page_id is out of range, use pdf_docs length")
+        end_page_id = len(document) - 1
+    output_document.insert_pdf(document, from_page=start_page_id, to_page=end_page_id)
+    output_bytes = output_document.tobytes()
+    return output_bytes
+
+
 def do_parse(
     output_dir,
     pdf_file_name,
@@ -55,6 +94,8 @@ def do_parse(
         f_draw_model_bbox = True
         f_draw_line_sort_bbox = True
 
+    pdf_bytes = convert_pdf_bytes_to_bytes_by_pymupdf(pdf_bytes, start_page_id, end_page_id)
+
     orig_model_list = copy.deepcopy(model_list)
     local_image_dir, local_md_dir = prepare_env(output_dir, pdf_file_name,
                                                 parse_method)
@@ -66,15 +107,18 @@ def do_parse(
     if parse_method == 'auto':
         jso_useful_key = {'_pdf_type': '', 'model_list': model_list}
         pipe = UNIPipe(pdf_bytes, jso_useful_key, image_writer, is_debug=True,
-                       start_page_id=start_page_id, end_page_id=end_page_id, lang=lang,
+                       # start_page_id=start_page_id, end_page_id=end_page_id,
+                       lang=lang,
                        layout_model=layout_model, formula_enable=formula_enable, table_enable=table_enable)
     elif parse_method == 'txt':
         pipe = TXTPipe(pdf_bytes, model_list, image_writer, is_debug=True,
-                       start_page_id=start_page_id, end_page_id=end_page_id, lang=lang,
+                       # start_page_id=start_page_id, end_page_id=end_page_id,
+                       lang=lang,
                        layout_model=layout_model, formula_enable=formula_enable, table_enable=table_enable)
     elif parse_method == 'ocr':
         pipe = OCRPipe(pdf_bytes, model_list, image_writer, is_debug=True,
-                       start_page_id=start_page_id, end_page_id=end_page_id, lang=lang,
+                       # start_page_id=start_page_id, end_page_id=end_page_id,
+                       lang=lang,
                        layout_model=layout_model, formula_enable=formula_enable, table_enable=table_enable)
     else:
         logger.error('unknown parse method')

next_docs/en/_static/image/ReadTheDocs.svg

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next_docs/en/api.rst

@@ -7,4 +7,3 @@
    api/read_api
    api/schemas
    api/io
-   api/classes
\ No newline at end of file

next_docs/en/api/classes.rst

-Class Hierarchy
-===============
-
-.. inheritance-diagram:: magic_pdf.data.io.base magic_pdf.data.io.http magic_pdf.data.io.s3
-   :parts: 2
-
-
-.. inheritance-diagram:: magic_pdf.data.dataset
-   :parts: 2
-
-
-.. inheritance-diagram:: magic_pdf.data.data_reader_writer.base magic_pdf.data.data_reader_writer.filebase magic_pdf.data.data_reader_writer.multi_bucket_s3
-   :parts: 2
-

next_docs/en/user_guide/data/data_reader_writer.rst

@@ -87,6 +87,8 @@ Read Examples
 
 .. code:: python
 
+    from magic_pdf.data.data_reader_writer import *
+
     # file based related 
     file_based_reader1 = FileBasedDataReader('')
 
@@ -142,6 +144,8 @@ Write Examples
 
 .. code:: python
 
+    from magic_pdf.data.data_reader_writer import *
+
     # file based related 
     file_based_writer1 = FileBasedDataWriter('')
 
@@ -201,4 +205,4 @@ Write Examples
     s3_writer1.write('s3://test_bucket/efg', '123'.encode())
 
 
-Check :doc:`../../api/classes` for more intuitions or check :doc:`../../api/data_reader_writer` for more details
+Check :doc:`../../api/data_reader_writer` for more details

next_docs/en/user_guide/data/dataset.rst

@@ -36,5 +36,5 @@ Extract chars via third-party library, currently we use ``pymupdf``.
 
 
 
-Check :doc:`../../api/classes` for more intuitions or check :doc:`../../api/dataset` for more details
+Check :doc:`../../api/dataset` for more details
 

next_docs/en/user_guide/data/io.rst

@@ -21,5 +21,5 @@ if MinerU have not provide the suitable classes. It is easy to implement new cla
         def write(self, path: str, data: bytes) -> None:
             pass
 
-Check :doc:`../../api/classes` for more intuitions or check :doc:`../../api/io` for more details
+Check :doc:`../../api/io` for more details
 

next_docs/en/user_guide/data/read_api.rst

@@ -18,6 +18,8 @@ Read the contet from jsonl which may located on local machine or remote s3. if y
 
 .. code:: python
 
+    from magic_pdf.data.io.read_api import *
+
     # read jsonl from local machine 
     datasets = read_jsonl("tt.jsonl", None)
 
@@ -33,6 +35,8 @@ Read pdf from path or directory.
 
 .. code:: python
 
+    from magic_pdf.data.io.read_api import *
+
     # read pdf path
     datasets = read_local_pdfs("tt.pdf")
 
@@ -47,10 +51,11 @@ Read images from path or directory
 
 .. code:: python 
 
+    from magic_pdf.data.io.read_api import *
+
     # read from image path 
     datasets = read_local_images("tt.png")
 
-
     # read files from directory that endswith suffix in suffixes array 
     datasets = read_local_images("images/", suffixes=["png", "jpg"])
 

next_docs/en/user_guide/install/boost_with_cuda.rst

@@ -9,16 +9,18 @@ appropriate guide based on your system:
 
 -  :ref:`ubuntu_22_04_lts_section`
 -  :ref:`windows_10_or_11_section`
+-  Quick Deployment with Docker
 
--  Quick Deployment with Docker > Docker requires a GPU with at least
-   16GB of VRAM, and all acceleration features are enabled by default.
+.. admonition:: Important
+   :class: tip
 
-.. note:: 
+   Docker requires a GPU with at least 16GB of VRAM, and all acceleration features are enabled by default.
 
-   Before running this Docker, you can use the following command to
-   check if your device supports CUDA acceleration on Docker. 
+   Before running this Docker, you can use the following command to check if your device supports CUDA acceleration on Docker. 
 
-   bash  docker run --rm --gpus=all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
+   .. code-block:: bash
+
+      bash  docker run --rm --gpus=all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
 
 .. code:: sh
 
@@ -42,8 +44,9 @@ Ubuntu 22.04 LTS
 If you see information similar to the following, it means that the
 NVIDIA drivers are already installed, and you can skip Step 2.
 
-Notice:``CUDA Version`` should be >= 12.1, If the displayed version
-number is less than 12.1, please upgrade the driver.
+.. note::
+
+   ``CUDA Version`` should be >= 12.1, If the displayed version number is less than 12.1, please upgrade the driver.
 
 .. code:: text
 
@@ -105,8 +108,10 @@ Specify Python version 3.10.
 
    pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com
 
-❗ After installation, make sure to check the version of ``magic-pdf``
-using the following command:
+.. admonition:: Important
+    :class: tip
+
+    ❗ After installation, make sure to check the version of ``magic-pdf`` using the following command:
 
 .. code:: sh
 
@@ -127,7 +132,10 @@ the script will automatically generate a ``magic-pdf.json`` file in the
 user directory and configure the default model path. You can find the
 ``magic-pdf.json`` file in your user directory.
 
-   The user directory for Linux is “/home/username”.
+.. admonition:: TIP
+    :class: tip
+
+    The user directory for Linux is “/home/username”.
 
 8. First Run
 ~~~~~~~~~~~~
@@ -216,16 +224,16 @@ Python version must be 3.10.
 
    pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com
 
-..
+.. admonition:: Important
+    :class: tip
 
-   ❗️After installation, verify the version of ``magic-pdf``:
+    ❗️After installation, verify the version of ``magic-pdf``:
 
-   .. code:: bash
+    .. code:: bash
 
       magic-pdf --version
 
-   If the version number is less than 0.7.0, please report it in the
-   issues section.
+    If the version number is less than 0.7.0, please report it in the issues section.
 
 5. Download Models
 ~~~~~~~~~~~~~~~~~~
@@ -240,7 +248,10 @@ the script will automatically generate a ``magic-pdf.json`` file in the
 user directory and configure the default model path. You can find the
 ``magic-pdf.json`` file in your 【user directory】 .
 
-   The user directory for Windows is “C:/Users/username”.
+.. admonition:: Tip
+    :class: tip
+
+    The user directory for Windows is “C:/Users/username”.
 
 7. First Run
 ~~~~~~~~~~~~
@@ -258,23 +269,23 @@ Download a sample file from the repository and test it.
 If your graphics card has at least 8GB of VRAM, follow these steps to
 test CUDA-accelerated parsing performance.
 
-1. **Overwrite the installation of torch and torchvision** supporting
-   CUDA.
+1. **Overwrite the installation of torch and torchvision** supporting CUDA.
 
-   ::
+.. code:: sh
 
-      pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+   pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
 
-   ..
+.. admonition:: Important
+    :class: tip
 
-      ❗️Ensure the following versions are specified in the command:
+    ❗️Ensure the following versions are specified in the command:
 
-      ::
+ 
+    .. code:: sh
 
          torch==2.3.1 torchvision==0.18.1
 
-      These are the highest versions we support. Installing higher
-      versions without specifying them will cause the program to fail.
+    These are the highest versions we support. Installing higher versions without specifying them will cause the program to fail.
 
 2. **Modify the value of ``"device-mode"``** in the ``magic-pdf.json``
    configuration file located in your user directory.

next_docs/en/user_guide/install/install.rst

@@ -4,25 +4,28 @@ Install
 If you encounter any installation issues, please first consult the :doc:`../../additional_notes/faq`.
 If the parsing results are not as expected, refer to the :doc:`../../additional_notes/known_issues`.
 
-Pre-installation Notice—Hardware and Software Environment Support
-------------------------------------------------------------------
-
-To ensure the stability and reliability of the project, we only optimize
-and test for specific hardware and software environments during
-development. This ensures that users deploying and running the project
-on recommended system configurations will get the best performance with
-the fewest compatibility issues.
-
-By focusing resources on the mainline environment, our team can more
-efficiently resolve potential bugs and develop new features.
-
-In non-mainline environments, due to the diversity of hardware and
-software configurations, as well as third-party dependency compatibility
-issues, we cannot guarantee 100% project availability. Therefore, for
-users who wish to use this project in non-recommended environments, we
-suggest carefully reading the documentation and FAQ first. Most issues
-already have corresponding solutions in the FAQ. We also encourage
-community feedback to help us gradually expand support.
+
+.. admonition:: Warning
+    :class: tip
+
+    **Pre-installation Notice—Hardware and Software Environment Support**
+
+    To ensure the stability and reliability of the project, we only optimize
+    and test for specific hardware and software environments during
+    development. This ensures that users deploying and running the project
+    on recommended system configurations will get the best performance with
+    the fewest compatibility issues.
+
+    By focusing resources on the mainline environment, our team can more
+    efficiently resolve potential bugs and develop new features.
+
+    In non-mainline environments, due to the diversity of hardware and
+    software configurations, as well as third-party dependency compatibility
+    issues, we cannot guarantee 100% project availability. Therefore, for
+    users who wish to use this project in non-recommended environments, we
+    suggest carefully reading the documentation and FAQ first. Most issues
+    already have corresponding solutions in the FAQ. We also encourage
+    community feedback to help us gradually expand support.
 
 .. raw:: html
 

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