From f925a65170677b5e27c2456065f619011d484df3 Mon Sep 17 00:00:00 2001 From: alexander1999-hub Date: Tue, 10 Sep 2024 19:15:57 +0300 Subject: [PATCH] partially fixed code --- .../data_classes/line_with_location.py | 8 +--- dedoc/readers/pdf_reader/pdf_base_reader.py | 33 +++++++------- .../table_recognizer/gost_frame_recognizer.py | 43 ++++++++++++++++++ .../table_recognizer/table_recognizer.py | 34 -------------- .../table_utils/img_processing.py | 4 +- docs/source/dedoc_api_usage/api.rst | 7 +++ docs/source/parameters/pdf_handling.rst | 11 +++++ tests/data/tables/gost_multipage_table.pdf | Bin 0 -> 376654 bytes .../test_module_gost_frame_recognizer.py | 40 +++++++++------- 9 files changed, 105 insertions(+), 75 deletions(-) create mode 100644 dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/gost_frame_recognizer.py create mode 100644 tests/data/tables/gost_multipage_table.pdf diff --git a/dedoc/readers/pdf_reader/data_classes/line_with_location.py b/dedoc/readers/pdf_reader/data_classes/line_with_location.py index 004c4f90..9babf0d6 100644 --- a/dedoc/readers/pdf_reader/data_classes/line_with_location.py +++ b/dedoc/readers/pdf_reader/data_classes/line_with_location.py @@ -14,13 +14,7 @@ def __init__(self, line: str, metadata: LineMetadata, annotations: List[Annotati super().__init__(line, metadata, annotations, uid) def shift(self, shift_x: int, shift_y: int, image_width: int, image_height: int) -> None: - import json - from dedoc.data_structures.concrete_annotations.bbox_annotation import BBoxAnnotation - for i_ann, annotation in enumerate(self.annotations): - if self.annotations[i_ann].name == "bounding box": - bbox, page_width, page_height = BBoxAnnotation.get_bbox_from_value(annotation.value) - bbox.shift(shift_x, shift_y) - self.annotations[i_ann].value = json.dumps(bbox.to_relative_dict(image_width, image_height)) + super().shift(shift_x=shift_x, shift_y=shift_y, image_width=image_width, image_height=image_height) self.location.shift(shift_x, shift_y) def __repr__(self) -> str: diff --git a/dedoc/readers/pdf_reader/pdf_base_reader.py b/dedoc/readers/pdf_reader/pdf_base_reader.py index 5ef1ef8b..6003e690 100644 --- a/dedoc/readers/pdf_reader/pdf_base_reader.py +++ b/dedoc/readers/pdf_reader/pdf_base_reader.py @@ -13,6 +13,7 @@ from dedoc.readers.pdf_reader.data_classes.line_with_location import LineWithLocation from dedoc.readers.pdf_reader.data_classes.pdf_image_attachment import PdfImageAttachment from dedoc.readers.pdf_reader.data_classes.tables.scantable import ScanTable +from dedoc.readers.pdf_reader.pdf_image_reader.table_recognizer.gost_frame_recognizer import GOSTFrameRecognizer ParametersForParseDoc = namedtuple("ParametersForParseDoc", [ "orient_analysis_cells", @@ -29,7 +30,8 @@ "with_attachments", "attachments_dir", "need_content_analysis", - "need_gost_frame_analysis" + "need_gost_frame_analysis", + "pdf_with_txt_layer" ]) @@ -53,6 +55,7 @@ def __init__(self, *, config: Optional[dict] = None, recognized_extensions: Opti self.attachment_extractor = PDFAttachmentsExtractor(config=self.config) self.linker = LineObjectLinker(config=self.config) self.paragraph_extractor = ScanParagraphClassifierExtractor(config=self.config) + self.gost_frame_recognizer = GOSTFrameRecognizer(config=self.config) def read(self, file_path: str, parameters: Optional[dict] = None) -> UnstructuredDocument: """ @@ -83,7 +86,9 @@ def read(self, file_path: str, parameters: Optional[dict] = None) -> Unstructure with_attachments=param_utils.get_param_with_attachments(parameters), attachments_dir=param_utils.get_param_attachments_dir(parameters, file_path), need_content_analysis=param_utils.get_param_need_content_analysis(parameters), - need_gost_frame_analysis=param_utils.get_param_need_gost_frame_analysis(parameters) + need_gost_frame_analysis=param_utils.get_param_need_gost_frame_analysis(parameters), + pdf_with_txt_layer=param_utils.get_param_pdf_with_txt_layer(parameters) + ) lines, scan_tables, attachments, warnings, metadata = self._parse_document(file_path, params_for_parse) @@ -108,12 +113,8 @@ def _parse_document(self, path: str, parameters: ParametersForParseDoc) -> ( last_page = math.inf if parameters.last_page is None else parameters.last_page images = self._get_images(path, first_page, last_page) - if parameters.need_gost_frame_analysis: - from dedoc.readers.pdf_reader.pdf_image_reader.table_recognizer.table_recognizer import GOSTFrameRecognizer - self.gost_frame_recognizer = GOSTFrameRecognizer(config=self.config) - gost_analyzed_images = Parallel(n_jobs=self.config["n_jobs"])( - delayed(self.gost_frame_recognizer.rec_and_clean_frame)(image) for image in images - ) + if parameters.need_gost_frame_analysis and parameters.pdf_with_txt_layer == "false": + gost_analyzed_images = Parallel(n_jobs=self.config["n_jobs"])(delayed(self.gost_frame_recognizer.rec_and_clean_frame)(image) for image in images) result = Parallel(n_jobs=self.config["n_jobs"])( delayed(self._process_one_page)(image, parameters, page_number, path) for page_number, (image, box) in enumerate(gost_analyzed_images, start=first_page) @@ -151,14 +152,14 @@ def _parse_document(self, path: str, parameters: ParametersForParseDoc) -> ( all_lines_with_paragraphs = self.paragraph_extractor.extract(all_lines_with_links) if page_angles: metadata["rotated_page_angles"] = page_angles - if parameters.need_gost_frame_analysis: - self._shift_all_contents(all_lines_with_paragraphs=all_lines_with_paragraphs, + if parameters.need_gost_frame_analysis and parameters.pdf_with_txt_layer == "false": + self._shift_all_contents(lines=all_lines_with_paragraphs, mp_tables=mp_tables, attachments=attachments, gost_analyzed_images=gost_analyzed_images) return all_lines_with_paragraphs, mp_tables, attachments, warnings, metadata - def _shift_all_contents(self, all_lines_with_paragraphs: List[LineWithMeta], mp_tables: List[ScanTable], attachments: List[PdfImageAttachment], + def _shift_all_contents(self, lines: List[LineWithMeta], mp_tables: List[ScanTable], attachments: List[PdfImageAttachment], gost_analyzed_images: List[Tuple[np.ndarray, BBox]]) -> None: # shift mp_tables for scan_table in mp_tables: @@ -185,13 +186,13 @@ def _shift_all_contents(self, all_lines_with_paragraphs: List[LineWithMeta], mp_ attachments[i_att].location.shift(shift_x, shift_y) # shift lines - for i_lin, line in enumerate(all_lines_with_paragraphs): + for i_lin, line in enumerate(lines): page_number = line.metadata.page_id image_width, image_height = gost_analyzed_images[page_number][0].shape[1], gost_analyzed_images[page_number][0].shape[0] - all_lines_with_paragraphs[i_lin].shift(shift_x=gost_analyzed_images[page_number][1].x_top_left, - shift_y=gost_analyzed_images[page_number][1].y_top_left, - image_width=image_width, - image_height=image_height) + lines[i_lin].shift(shift_x=gost_analyzed_images[page_number][1].x_top_left, + shift_y=gost_analyzed_images[page_number][1].y_top_left, + image_width=image_width, + image_height=image_height) @abstractmethod def _process_one_page(self, image: ndarray, parameters: ParametersForParseDoc, page_number: int, path: str) \ diff --git a/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/gost_frame_recognizer.py b/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/gost_frame_recognizer.py new file mode 100644 index 00000000..1b113c48 --- /dev/null +++ b/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/gost_frame_recognizer.py @@ -0,0 +1,43 @@ +import logging +from typing import Optional, Tuple + +import cv2 +import numpy as np +from dedocutils.data_structures import BBox + +from dedoc.readers.pdf_reader.data_classes.tables.table_tree import TableTree +from dedoc.readers.pdf_reader.pdf_image_reader.table_recognizer.table_utils.img_processing import detect_horizontal_and_vertical_lines as detect_lines + +MIN_FRAME_CONTENT_AREA = 0.7 + + +class GOSTFrameRecognizer: + def __init__(self, *, config: dict = None) -> None: + self.logger = config.get("logger", logging.getLogger()) + self.config = config + + def rec_and_clean_frame(self, image: np.ndarray) -> Tuple[np.ndarray, BBox]: + if len(image.shape) < 3: # check if an image is already converted to grayscale + thresh, img_bin = cv2.threshold(image, 225, 255, cv2.THRESH_BINARY) + else: + thresh, img_bin = cv2.threshold(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY), 225, 255, cv2.THRESH_BINARY) + lines_bin = detect_lines(255 - img_bin, self.config, "tables") + contours, hierarchy = cv2.findContours(lines_bin, cv2.RETR_TREE, cv2.CHAIN_APPROX_TC89_KCOS) + tree_table = TableTree.parse_contours_to_tree(contours=contours, hierarchy=hierarchy, config=self.config) + + img_area = image.shape[0] * image.shape[1] + has_gost_frame, main_box = self._analyze_cells_on_frame(tree_table, img_area) + if has_gost_frame: + return BBox.crop_image_by_box(image, main_box), main_box + return image, BBox(0, 0, image.shape[1], image.shape[0]) + + def _analyze_cells_on_frame(self, tree_table: "TableTree", img_area: "int") -> Tuple[bool, Optional[BBox]]: + try: + sub_bboxes = tree_table.children[0].children + for box in sub_bboxes: + if box.cell_box.square / img_area > MIN_FRAME_CONTENT_AREA: + return True, box.cell_box + return False, None + except Exception as ex: + self.logger.warning(ex) + return False, None diff --git a/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_recognizer.py b/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_recognizer.py index 147d3854..c1124ca4 100644 --- a/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_recognizer.py +++ b/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_recognizer.py @@ -11,47 +11,13 @@ from dedoc.data_structures.line_with_meta import LineWithMeta from dedoc.readers.pdf_reader.data_classes.tables.scantable import ScanTable -from dedoc.readers.pdf_reader.data_classes.tables.table_tree import TableTree from dedoc.readers.pdf_reader.data_classes.tables.table_type import TableTypeAdditionalOptions from dedoc.readers.pdf_reader.pdf_image_reader.table_recognizer.table_extractors.concrete_extractors.multipage_table_extractor import MultiPageTableExtractor from dedoc.readers.pdf_reader.pdf_image_reader.table_recognizer.table_extractors.concrete_extractors.onepage_table_extractor import OnePageTableExtractor -from dedoc.readers.pdf_reader.pdf_image_reader.table_recognizer.table_utils.img_processing import __detect_horizontal_and_vertical_lines as detect_lines """-------------------------------------entry class of Table Recognizer Module---------------------------------------""" -class GOSTFrameRecognizer(object): - def __init__(self, *, config: dict = None) -> None: - self.logger = config.get("logger", logging.getLogger()) - self.config = config - - def rec_and_clean_frame(self, image: np.ndarray) -> Tuple[np.ndarray, BBox]: - if len(image.shape) < 3: # check if an image is already converted to grayscale - thresh, img_bin = cv2.threshold(image, 225, 255, cv2.THRESH_BINARY) - else: - thresh, img_bin = cv2.threshold(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY), 225, 255, cv2.THRESH_BINARY) - lines_bin = detect_lines(255 - img_bin, self.config, "tables") - contours, hierarchy = cv2.findContours(lines_bin, cv2.RETR_TREE, cv2.CHAIN_APPROX_TC89_KCOS) - tree_table = TableTree.parse_contours_to_tree(contours=contours, hierarchy=hierarchy, config=self.config) - - img_area = image.shape[0] * image.shape[1] - has_gost_frame, main_box = self._analyze_table_on_frame(tree_table, img_area) - if has_gost_frame: - return BBox.crop_image_by_box(image, main_box), main_box - return image, BBox(0, 0, image.shape[1], image.shape[0]) - - def _analyze_table_on_frame(self, tree_table: "TableTree", img_area: "int") -> Tuple[bool, Optional[BBox]]: - try: - sub_bboxes = tree_table.children[0].children - for box in sub_bboxes: - if box.cell_box.square / img_area > 0.7: - return True, box.cell_box - return False, None - except Exception as ex: - self.logger.warning(ex) - return False, None - - class TableRecognizer(object): def __init__(self, *, config: dict = None) -> None: diff --git a/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_utils/img_processing.py b/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_utils/img_processing.py index f8cda475..c060d9d6 100644 --- a/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_utils/img_processing.py +++ b/dedoc/readers/pdf_reader/pdf_image_reader/table_recognizer/table_utils/img_processing.py @@ -83,7 +83,7 @@ def get_contours_cells(img: np.ndarray, table_type: str, *, config: dict) -> [An if config.get("debug_mode", False): cv2.imwrite(os.path.join(get_path_param(config, "path_detect"), "image_bin.jpg"), img_bin) # step 2 - img_final_bin = __detect_horizontal_and_vertical_lines(img_bin, config, "tables") + img_final_bin = detect_horizontal_and_vertical_lines(img_bin, config, "tables") # step 3 img_final_bin_houph, angle_alignment = __apply_houph_lines_and_detect_angle(img_final_bin, config) @@ -182,7 +182,7 @@ def __apply_houph_lines_and_detect_angle(image: np.ndarray, config: dict) -> [np return img_final_bin_houph, angle_alignment -def __detect_horizontal_and_vertical_lines(img_bin: np.ndarray, config: dict, task: str) -> np.ndarray: +def detect_horizontal_and_vertical_lines(img_bin: np.ndarray, config: dict, task: str) -> np.ndarray: # Defining a kernel length if task == "orientation": diff --git a/docs/source/dedoc_api_usage/api.rst b/docs/source/dedoc_api_usage/api.rst index 380e5258..4e7fbdb0 100644 --- a/docs/source/dedoc_api_usage/api.rst +++ b/docs/source/dedoc_api_usage/api.rst @@ -224,6 +224,13 @@ Api parameters description * **true** -- if any text is detected in a PDF file, Dedoc assumes that textual layer is detected and it is correct. Much faster but less accurate. * **false** -- use the textual layer classifier to detect textual layer and prove its correctness. + * - need_gost_frame_analysis + - True, False + - False + - This option is used to enable GOST(Russian government standard) frame recognition for PDF documents or images. + The GOST frame recognizer is used in :meth:`dedoc.readers.PdfBaseReader.read`. Its main function is to recognize and + ignore the GOST frame on the document. It allows :class:`dedoc.readers.PdfImageReader` to properly process the content + of the document containing GOST frame. Currently works only when ``pdf_with_text_layer="false"``. * - language - rus, eng, rus+eng, fra, spa diff --git a/docs/source/parameters/pdf_handling.rst b/docs/source/parameters/pdf_handling.rst index 6a9a3d3a..ba8770db 100644 --- a/docs/source/parameters/pdf_handling.rst +++ b/docs/source/parameters/pdf_handling.rst @@ -151,6 +151,17 @@ PDF and images handling If the document has a textual layer, it is recommended to use :class:`dedoc.readers.PdfTabbyReader`, in this case tables will be parsed much easier and faster. + * - need_gost_frame_analysis + - True, False + - False + - * :meth:`dedoc.DedocManager.parse` + * :meth:`dedoc.readers.PdfAutoReader.read`, :meth:`dedoc.readers.PdfBaseReader.read` + * :meth:`dedoc.readers.ReaderComposition.read` + - This option is used to enable GOST(Russian government standard) frame recognition for PDF documents or images. + The GOST frame recognizer is used in :meth:`dedoc.readers.PdfBaseReader.read`. Its main function is to recognize and + ignore the GOST frame on the document. It allows :class:`dedoc.readers.PdfImageReader` to properly process the content + of the document containing GOST frame. 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z`YeWul)!}`Y_b`R^8@kNp~_fBC@g!aPh23S|E4!VzoTIN+z`IkeSWg%?!NvMkMK5( z!R%oT{^zb_0#&LdX2ckl2MjGq6><0V_j?JS&~PZrq{hYE)YL1^+uu_>^yu_egN|-k zvBC0Z)xnQ-Z|{%j%%Xvu-ZG=MR*P+I&_7+jj{^;u(MS%AY1*YwJ}fD&C&Z^j z@hX*r!0>EWk@FbRyZv+F)0}jP{0_!gCV>G5v@v#YvSzXFVTI%4gZrPpu9?*POpPom3}8a=KZJQn zq~TGtrk3ZYd;SR#bEZi1_X+fp-0KI~N=@*nN(AeBS z$kr90#qedp%E=1gU}4gMqgMnv*gDx80UZGUu~e5gv;Z18{*N&Ofc?u<@jq@~552Ih zjU&*;(E;#ZSc-68>)L-!0ZjkP=6?qL-~4|C{r?bffTNc-H+BGMG5=={_>ZOH7rL;m z(|=3+xBmZhXZ%0hg$*1HtZYsH12p}j`Txb^{NEfD>}`#mjK0$R%Us6R8K@v4M)?)F zt+B{g&H=wfxR@B2SQt1N85o&Z*csS0DgSre|I+fmcq^H^0|AVTU)iy>bp-rJ=__7I z8xvc=e`x=WMF3hn9HL^Z9PF%|jDig8j4Yg-f None: - image_names = [ - "gost_frame_1.png", "gost_frame_2.png", "gost_frame_3.png", "example_with_table6.png", "example_with_table5.png", "example_with_table3.png" - ] - gt = [True, True, True, False, False, False] - for index, image_name in enumerate(image_names): - path_image = os.path.join(self.test_data_folder, image_name) - image = cv2.imread(path_image) - result_image, result_bbox = self.gost_frame_recognizer.rec_and_clean_frame(image) - self.assertEqual(not np.array_equal(result_image, image), gt[index]) # check if we cut something from original image or not - - def test_coordinates_shift(self) -> None: - file_path = os.path.join(self.test_data_folder, "gost_frame_2.png") - parameters = {"need_gost_frame_analysis": "True"} + def _get_params_for_parse(self, parameters: Optional[dict], file_path: Optional[str]) -> ParametersForParseDoc: + parameters = parameters if parameters else {} + file_path = file_path if file_path else "" params_for_parse = ParametersForParseDoc( language=param_utils.get_param_language(parameters), orient_analysis_cells=param_utils.get_param_orient_analysis_cells(parameters), @@ -46,8 +36,26 @@ def test_coordinates_shift(self) -> None: with_attachments=param_utils.get_param_with_attachments(parameters), attachments_dir=param_utils.get_param_attachments_dir(parameters, file_path), need_content_analysis=param_utils.get_param_need_content_analysis(parameters), - need_gost_frame_analysis=param_utils.get_param_need_gost_frame_analysis(parameters) + need_gost_frame_analysis=param_utils.get_param_need_gost_frame_analysis(parameters), + pdf_with_txt_layer=param_utils.get_param_pdf_with_txt_layer(parameters) ) + return params_for_parse + + def test_gost_frame_recognition(self) -> None: + image_names = [ + "gost_frame_1.png", "gost_frame_2.png", "gost_frame_3.png", "example_with_table6.png", "example_with_table5.png", "example_with_table3.png" + ] + gt = [True, True, True, False, False, False] + for index, image_name in enumerate(image_names): + path_image = os.path.join(self.test_data_folder, image_name) + image = cv2.imread(path_image) + result_image, result_bbox = self.gost_frame_recognizer.rec_and_clean_frame(image) + self.assertEqual(not np.array_equal(result_image, image), gt[index]) # check if we cut something from original image or not + + def test_coordinates_shift(self) -> None: + file_path = os.path.join(self.test_data_folder, "gost_frame_2.png") + parameters = {"need_gost_frame_analysis": "True", "pdf_with_text_layer": "false"} + params_for_parse = self._get_params_for_parse(parameters=parameters, file_path=file_path) result = self.pdf_image_reader._parse_document(path=file_path, parameters=params_for_parse) self.assertTrue(len(result[0]) > 0) self.assertTrue(abs(result[0][0].location.bbox.x_top_left - 365) < 10)