From 192b9111e31eee4758364b1fe9f63f80aa533ec2 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Tue, 22 Apr 2025 00:23:01 +0200 Subject: [PATCH 01/57] updating eynollah README, how to use it for use cases --- README.md | 39 +++++++++++++++++++++++++++++++++++++-- 1 file changed, 37 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 16ac661..3cfb587 100644 --- a/README.md +++ b/README.md @@ -50,10 +50,16 @@ For documentation on methods and models, have a look at [`models.md`](https://gi In case you want to train your own model with Eynollah, have a look at [`train.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/train.md). ## Usage -The command-line interface can be called like this: + +Eynollah has four key use cases: layout analysis, binarization, OCR, and machine-based reading order. + +### Layout +The layout module is responsible for detecting layouts, identifying text lines, and determining reading order using both heuristic methods or a machine-based reading order detection model. It's important to note that this functionality should not be confused with the machine-based-reading-order use case. The latter, still under development, focuses specifically on determining the reading order for a given layout in an XML file. In contrast, layout detection takes an image as input, and after detecting the layout, it can also determine the reading order using a machine-based model. + +The command-line interface for layout can be called like this: ```sh -eynollah \ +eynollah layout \ -i | -di \ -o \ -m \ @@ -66,6 +72,7 @@ The following options can be used to further configure the processing: |-------------------|:-------------------------------------------------------------------------------| | `-fl` | full layout analysis including all steps and segmentation classes | | `-light` | lighter and faster but simpler method for main region detection and deskewing | +| `-tll` | this indicates the light textline and should be passed with light version | | `-tab` | apply table detection | | `-ae` | apply enhancement (the resulting image is saved to the output directory) | | `-as` | apply scaling | @@ -83,6 +90,34 @@ The following options can be used to further configure the processing: If no option is set, the tool performs layout detection of main regions (background, text, images, separators and marginals). The best output quality is produced when RGB images are used as input rather than greyscale or binarized images. +### Binarization +Document Image Binarization + +The command-line interface for binarization of single image can be called like this: + +```sh +eynollah binarization \ + -m \ + \ + +``` + +and for flowing from a directory like this: + +```sh +eynollah binarization \ + -m \ + -di \ + -do +``` + +### OCR +Under development + +### Machine-based-reading-order +Under development + + #### Use as OCR-D processor Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli), From 83211ae684513ef7f50ee88e0f641702441cde1f Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 7 May 2025 12:33:03 +0200 Subject: [PATCH 02/57] In the case of skip_layout_and_reading_order, the confidence value was not set correctly, leading to an error while writing to the XML file. --- src/eynollah/eynollah.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 022cf0a..ec8d887 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -4328,7 +4328,7 @@ class Eynollah: polygons_lines_xml = [] contours_tables = [] ocr_all_textlines = None - conf_contours_textregions =None + conf_contours_textregions = [0] pcgts = self.writer.build_pagexml_no_full_layout( cont_page, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, page_coord, polygons_of_images, polygons_of_marginals, From 21ec4fbfb538b40f0d06f55bf8c92f4ca2ebf10c Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 7 May 2025 14:04:01 +0200 Subject: [PATCH 03/57] The text region coordinates are now correctly written into the XML output when using the skip layout and reading order option --- src/eynollah/eynollah.py | 2 +- src/eynollah/writer.py | 30 ++++++++++++++++++++---------- 2 files changed, 21 insertions(+), 11 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index ec8d887..6da003b 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -4333,7 +4333,7 @@ class Eynollah: cont_page, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, page_coord, polygons_of_images, polygons_of_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, - cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) + cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions, self.skip_layout_and_reading_order) return pcgts #print("text region early -1 in %.1fs", time.time() - t0) diff --git a/src/eynollah/writer.py b/src/eynollah/writer.py index 92e353f..e589fd4 100644 --- a/src/eynollah/writer.py +++ b/src/eynollah/writer.py @@ -168,7 +168,7 @@ class EynollahXmlWriter(): with open(self.output_filename, 'w') as f: f.write(to_xml(pcgts)) - def build_pagexml_no_full_layout(self, found_polygons_text_region, page_coord, order_of_texts, id_of_texts, all_found_textline_polygons, all_box_coord, found_polygons_text_region_img, found_polygons_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_to_be_written_in_xml, found_polygons_tables, ocr_all_textlines, conf_contours_textregion): + def build_pagexml_no_full_layout(self, found_polygons_text_region, page_coord, order_of_texts, id_of_texts, all_found_textline_polygons, all_box_coord, found_polygons_text_region_img, found_polygons_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_to_be_written_in_xml, found_polygons_tables, ocr_all_textlines, conf_contours_textregion, skip_layout_reading_order=False): self.logger.debug('enter build_pagexml_no_full_layout') # create the file structure @@ -184,7 +184,7 @@ class EynollahXmlWriter(): for mm in range(len(found_polygons_text_region)): textregion = TextRegionType(id=counter.next_region_id, type_='paragraph', - Coords=CoordsType(points=self.calculate_polygon_coords(found_polygons_text_region[mm], page_coord), conf=conf_contours_textregion[mm]), + Coords=CoordsType(points=self.calculate_polygon_coords(found_polygons_text_region[mm], page_coord, skip_layout_reading_order), conf=conf_contours_textregion[mm]), ) #textregion.set_conf(conf_contours_textregion[mm]) page.add_TextRegion(textregion) @@ -303,18 +303,28 @@ class EynollahXmlWriter(): return pcgts - def calculate_polygon_coords(self, contour, page_coord): + def calculate_polygon_coords(self, contour, page_coord, skip_layout_reading_order=False): self.logger.debug('enter calculate_polygon_coords') coords = '' for value_bbox in contour: - if len(value_bbox) == 2: - coords += str(int((value_bbox[0] + page_coord[2]) / self.scale_x)) - coords += ',' - coords += str(int((value_bbox[1] + page_coord[0]) / self.scale_y)) + if skip_layout_reading_order: + if len(value_bbox) == 2: + coords += str(int((value_bbox[0]) / self.scale_x)) + coords += ',' + coords += str(int((value_bbox[1]) / self.scale_y)) + else: + coords += str(int((value_bbox[0][0]) / self.scale_x)) + coords += ',' + coords += str(int((value_bbox[0][1]) / self.scale_y)) else: - coords += str(int((value_bbox[0][0] + page_coord[2]) / self.scale_x)) - coords += ',' - coords += str(int((value_bbox[0][1] + page_coord[0]) / self.scale_y)) + if len(value_bbox) == 2: + coords += str(int((value_bbox[0] + page_coord[2]) / self.scale_x)) + coords += ',' + coords += str(int((value_bbox[1] + page_coord[0]) / self.scale_y)) + else: + coords += str(int((value_bbox[0][0] + page_coord[2]) / self.scale_x)) + coords += ',' + coords += str(int((value_bbox[0][1] + page_coord[0]) / self.scale_y)) coords=coords + ' ' return coords[:-1] From 7a22e51f5d2ebff1bd0239c913eb1ed13d97fe77 Mon Sep 17 00:00:00 2001 From: cneud <952378+cneud@users.noreply.github.com> Date: Wed, 14 May 2025 21:56:03 +0200 Subject: [PATCH 04/57] resolve some comments from review --- README.md | 30 ++++++++++++++++-------------- 1 file changed, 16 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index 3cfb587..8a2c4a4 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,8 @@ * Output in [PAGE-XML](https://github.com/PRImA-Research-Lab/PAGE-XML) * [OCR-D](https://github.com/qurator-spk/eynollah#use-as-ocr-d-processor) interface -:warning: Development is currently focused on achieving the best possible quality of results for a wide variety of historical documents and therefore processing can be very slow. We aim to improve this, but contributions are welcome. +:warning: Development is currently focused on achieving the best possible quality of results for a wide variety of +historical documents and therefore processing can be very slow. We aim to improve this, but contributions are welcome. ## Installation Python `3.8-3.11` with Tensorflow `<2.13` on Linux are currently supported. @@ -42,7 +43,7 @@ cd eynollah; pip install -e . Alternatively, you can run `make install` or `make install-dev` for editable installation. ## Models -Pre-trained models can be downloaded from [qurator-data.de](https://qurator-data.de/eynollah/) or [huggingface](https://huggingface.co/SBB?search_models=eynollah). +Pretrained models can be downloaded from [qurator-data.de](https://qurator-data.de/eynollah/) or [huggingface](https://huggingface.co/SBB?search_models=eynollah). For documentation on methods and models, have a look at [`models.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/models.md). @@ -50,13 +51,17 @@ For documentation on methods and models, have a look at [`models.md`](https://gi In case you want to train your own model with Eynollah, have a look at [`train.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/train.md). ## Usage +Eynollah supports four use cases: layout analysis (segmentation), binarization, text recognition (OCR), +and (trainable) reading order detection. -Eynollah has four key use cases: layout analysis, binarization, OCR, and machine-based reading order. +### Layout Analysis +The layout analysis module is responsible for detecting layouts, identifying text lines, and determining reading order +using both heuristic methods or a machine-based reading order detection model. -### Layout -The layout module is responsible for detecting layouts, identifying text lines, and determining reading order using both heuristic methods or a machine-based reading order detection model. It's important to note that this functionality should not be confused with the machine-based-reading-order use case. The latter, still under development, focuses specifically on determining the reading order for a given layout in an XML file. In contrast, layout detection takes an image as input, and after detecting the layout, it can also determine the reading order using a machine-based model. +Note that there are currently two supported ways for reading order detection: either as part of layout analysis based +on image input, or, currently under development, for given layout analysis results based on PAGE-XML data as input. -The command-line interface for layout can be called like this: +The command-line interface for layout analysis can be called like this: ```sh eynollah layout \ @@ -87,18 +92,19 @@ The following options can be used to further configure the processing: | `-sp ` | save cropped page image to this directory | | `-sa ` | save all (plot, enhanced/binary image, layout) to this directory | -If no option is set, the tool performs layout detection of main regions (background, text, images, separators and marginals). +If no option is set, the tool performs layout detection of main regions (background, text, images, separators +and marginals). The best output quality is produced when RGB images are used as input rather than greyscale or binarized images. ### Binarization -Document Image Binarization +The binarization module performs document image binarization using pretrained pixelwise segmentation models. The command-line interface for binarization of single image can be called like this: ```sh eynollah binarization \ - -m \ - \ + -m \ + \ ``` @@ -117,9 +123,7 @@ Under development ### Machine-based-reading-order Under development - #### Use as OCR-D processor - Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli), formally described in [`ocrd-tool.json`](https://github.com/qurator-spk/eynollah/tree/main/src/eynollah/ocrd-tool.json). @@ -127,7 +131,6 @@ In this case, the source image file group with (preferably) RGB images should be ocrd-eynollah-segment -I OCR-D-IMG -O OCR-D-SEG -P models 2022-04-05 - If the input file group is PAGE-XML (from a previous OCR-D workflow step), Eynollah behaves as follows: - existing regions are kept and ignored (i.e. in effect they might overlap segments from Eynollah results) - existing annotation (and respective `AlternativeImage`s) are partially _ignored_: @@ -138,7 +141,6 @@ If the input file group is PAGE-XML (from a previous OCR-D workflow step), Eynol (because some other preprocessing step was in effect like `denoised`), then the output PAGE-XML will be based on that as new top-level (`@imageFilename`) - ocrd-eynollah-segment -I OCR-D-XYZ -O OCR-D-SEG -P models 2022-04-05 Still, in general, it makes more sense to add other workflow steps **after** Eynollah. From 9b4e78c55ce4fc4c121a9e6afae4ebcf79f42435 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 11 Jun 2025 18:57:08 +0200 Subject: [PATCH 05/57] Fixed duplicate textline_light assignments (true and false) in the OCR-D framework for the Eynollah light version, which caused rectangles to be used instead of contours for textlines --- src/eynollah/ocrd-tool.json | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/src/eynollah/ocrd-tool.json b/src/eynollah/ocrd-tool.json index e972ec8..ce15206 100644 --- a/src/eynollah/ocrd-tool.json +++ b/src/eynollah/ocrd-tool.json @@ -38,7 +38,7 @@ "textline_light": { "type": "boolean", "default": true, - "description": "Light version need textline light" + "description": "Light version need textline light. If this parameter set to true, this tool will try to return contoure of textlines instead of rectangle bounding box of textline with a faster method." }, "tables": { "type": "boolean", @@ -65,11 +65,6 @@ "default": false, "description": "if this parameter set to true, this tool would check that input image need resizing and enhancement or not." }, - "textline_light": { - "type": "boolean", - "default": false, - "description": "if this parameter set to true, this tool will try to return contoure of textlines instead of rectangle bounding box of textline with a faster method." - }, "right_to_left": { "type": "boolean", "default": false, From 32889ef1e01dd24f0b7d5dfe0ad2a6e12a910aeb Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 12 Jun 2025 13:57:41 +0200 Subject: [PATCH 06/57] adapt binarization CLI according to #156 --- src/eynollah/cli.py | 19 ++++++++----------- src/eynollah/sbb_binarize.py | 10 +++++----- 2 files changed, 13 insertions(+), 16 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index c189aca..42f9bca 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -48,8 +48,7 @@ def machine_based_reading_order(dir_xml, dir_out_modal_image, dir_out_classes, i @main.command() @click.option('--patches/--no-patches', default=True, help='by enabling this parameter you let the model to see the image in patches.') @click.option('--model_dir', '-m', type=click.Path(exists=True, file_okay=False), required=True, help='directory containing models for prediction') -@click.argument('input_image', required=False) -@click.argument('output_image', required=False) +@click.option("--input-image", "-i", help="input image", type=click.Path(exists=True, dir_okay=False)) @click.option( "--dir_in", "-di", @@ -57,16 +56,14 @@ def machine_based_reading_order(dir_xml, dir_out_modal_image, dir_out_classes, i type=click.Path(exists=True, file_okay=False), ) @click.option( - "--dir_out", - "-do", - help="directory for output images", - type=click.Path(exists=True, file_okay=False), + "--output", + "-o", + help="output image (if using -i) or output image directory (if using -di)", + type=click.Path(file_okay=True, dir_okay=True), ) -def binarization(patches, model_dir, input_image, output_image, dir_in, dir_out): - assert (dir_out is None) == (dir_in is None), "Options -di and -do are mutually dependent" - assert (input_image is None) == (output_image is None), "INPUT_IMAGE and OUTPUT_IMAGE are mutually dependent" - assert (dir_in is None) != (input_image is None), "Specify either -di and -do options, or INPUT_IMAGE and OUTPUT_IMAGE" - SbbBinarizer(model_dir).run(image_path=input_image, use_patches=patches, save=output_image, dir_in=dir_in, dir_out=dir_out) +def binarization(patches, model_dir, input_image, dir_in, output): + assert (dir_in is None) != (input_image is None), "Specify either -di and or -i not both" + SbbBinarizer(model_dir).run(image_path=input_image, use_patches=patches, output=output, dir_in=dir_in) diff --git a/src/eynollah/sbb_binarize.py b/src/eynollah/sbb_binarize.py index f43b6ba..2d5035f 100644 --- a/src/eynollah/sbb_binarize.py +++ b/src/eynollah/sbb_binarize.py @@ -314,8 +314,8 @@ class SbbBinarizer: prediction_true = prediction_true.astype(np.uint8) return prediction_true[:,:,0] - def run(self, image=None, image_path=None, save=None, use_patches=False, dir_in=None, dir_out=None): - print(dir_in,'dir_in') + def run(self, image=None, image_path=None, output=None, use_patches=False, dir_in=None): + # print(dir_in,'dir_in') if not dir_in: if (image is not None and image_path is not None) or \ (image is None and image_path is None): @@ -343,8 +343,8 @@ class SbbBinarizer: kernel = np.ones((5, 5), np.uint8) img_last[:, :][img_last[:, :] > 0] = 255 img_last = (img_last[:, :] == 0) * 255 - if save: - cv2.imwrite(save, img_last) + if output: + cv2.imwrite(output, img_last) return img_last else: ls_imgs = os.listdir(dir_in) @@ -374,4 +374,4 @@ class SbbBinarizer: img_last[:, :][img_last[:, :] > 0] = 255 img_last = (img_last[:, :] == 0) * 255 - cv2.imwrite(os.path.join(dir_out,image_stem+'.png'), img_last) + cv2.imwrite(os.path.join(output, image_stem + '.png'), img_last) From da141bb42e6f7af4a069a77942e0695c68a56592 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 23 Jul 2025 16:44:17 +0200 Subject: [PATCH 07/57] resolving tests error --- tests/test_run.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/test_run.py b/tests/test_run.py index 607140e..b4e2dbd 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -85,8 +85,8 @@ def test_run_eynollah_binarization_filename(tmp_path, subtests, pytestconfig, ca outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.png') args = [ '-m', SBBBIN_MODELS, - str(infile), - str(outfile), + '-i', str(infile), + '-o', str(outfile), ] caplog.set_level(logging.INFO) def only_eynollah(logrec): @@ -117,7 +117,7 @@ def test_run_eynollah_binarization_directory(tmp_path, subtests, pytestconfig, c args = [ '-m', SBBBIN_MODELS, '-di', str(indir), - '-do', str(outdir), + '-o', str(outdir), ] caplog.set_level(logging.INFO) def only_eynollah(logrec): From fd0595f9207fb2f608eb1ae3c40dc6826a409d38 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Thu, 24 Jul 2025 13:52:38 +0200 Subject: [PATCH 08/57] Update Makefile --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 5f2bf34..1458427 100644 --- a/Makefile +++ b/Makefile @@ -85,7 +85,7 @@ smoke-test: tests/resources/kant_aufklaerung_1784_0020.tif eynollah layout -di $( Date: Tue, 12 Aug 2025 16:21:15 +0200 Subject: [PATCH 09/57] add feedback to command line interface --- src/eynollah/eynollah.py | 305 +++++++++++++++++++++++++++++++++++++-- 1 file changed, 290 insertions(+), 15 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index d47016b..d9939ca 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -203,6 +203,17 @@ class Eynollah: skip_layout_and_reading_order : bool = False, logger : Optional[Logger] = None, ): + if logger: + self.logger = logger + else: + self.logger = getLogger('eynollah') + console_handler = logging.StreamHandler(sys.stdout) + console_handler.setLevel(logging.INFO) + formatter = logging.Formatter('%(message)s') + console_handler.setFormatter(formatter) + self.logger.addHandler(console_handler) + self.logger.setLevel(logging.INFO) + if skip_layout_and_reading_order: textline_light = True self.light_version = light_version @@ -237,10 +248,7 @@ class Eynollah: self.num_col_lower = int(num_col_lower) else: self.num_col_lower = num_col_lower - self.logger = logger if logger else getLogger('eynollah') - # for parallelization of CPU-intensive tasks: - self.executor = ProcessPoolExecutor(max_workers=cpu_count(), timeout=1200) - atexit.register(self.executor.shutdown) + self.dir_models = dir_models self.model_dir_of_enhancement = dir_models + "/eynollah-enhancement_20210425" self.model_dir_of_binarization = dir_models + "/eynollah-binarization_20210425" @@ -293,7 +301,14 @@ class Eynollah: self.model_table_dir = dir_models + "/modelens_table_0t4_201124" else: self.model_table_dir = dir_models + "/eynollah-tables_20210319" + + + t_start = time.time() + # for parallelization of CPU-intensive tasks: + self.executor = ProcessPoolExecutor(max_workers=cpu_count(), timeout=1200) + atexit.register(self.executor.shutdown) + # #gpu_options = tf.compat.v1.GPUOptions(allow_growth=True) # #gpu_options = tf.compat.v1.GPUOptions(per_process_gpu_memory_fraction=7.7, allow_growth=True) # #session = tf.compat.v1.Session(config=tf.compat.v1.ConfigProto(gpu_options=gpu_options)) @@ -307,7 +322,11 @@ class Eynollah: tf.config.experimental.set_memory_growth(device, True) except: self.logger.warning("no GPU device available") - + + msg = "Loading models..." + print(msg) + self.logger.info(msg) + self.model_page = self.our_load_model(self.model_page_dir) self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier) self.model_bin = self.our_load_model(self.model_dir_of_binarization) @@ -334,6 +353,10 @@ class Eynollah: self.processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten") if self.tables: self.model_table = self.our_load_model(self.model_table_dir) + + msg = f"Model initialization complete ({time.time() - t_start:.1f}s)" + print(msg) + self.logger.info(msg) def cache_images(self, image_filename=None, image_pil=None, dpi=None): ret = {} @@ -4294,21 +4317,81 @@ class Eynollah: def run_single(self): t0 = time.time() + + msg = f"Processing file: {self.writer.image_filename}" + print(msg) + self.logger.info(msg) + + # Log enabled features directly + enabled_modes = [] + if self.light_version: + enabled_modes.append("Light version") + if self.textline_light: + enabled_modes.append("Light textline detection") + if self.full_layout: + enabled_modes.append("Full layout analysis") + if self.ocr: + enabled_modes.append("OCR") + if self.tables: + enabled_modes.append("Table detection") + + if enabled_modes: + msg = "Enabled modes: " + ", ".join(enabled_modes) + print(msg) + self.logger.info(msg) + + + msg = "Step 1/5: Image Enhancement" + print(msg) + self.logger.info(msg) + img_res, is_image_enhanced, num_col_classifier, num_column_is_classified = self.run_enhancement(self.light_version) - self.logger.info("Enhancing took %.1fs ", time.time() - t0) + + msg = f"Image: {self.image.shape[1]}x{self.image.shape[0]}, {self.dpi} DPI, {num_col_classifier} columns" + print(msg) + self.logger.info(msg) + if is_image_enhanced: + msg = "Enhancement applied" + print(msg) + self.logger.info(msg) + + msg = f"Enhancement complete ({time.time() - t0:.1f}s)" + print(msg) + self.logger.info(msg) + + + # Image Extraction Mode if self.extract_only_images: + msg = "Step 2/5: Image Extraction Mode" + print(msg) + self.logger.info(msg) + text_regions_p_1, erosion_hurts, polygons_lines_xml, polygons_of_images, image_page, page_coord, cont_page = \ self.get_regions_light_v_extract_only_images(img_res, is_image_enhanced, num_col_classifier) + ocr_all_textlines = None pcgts = self.writer.build_pagexml_no_full_layout( [], page_coord, [], [], [], [], polygons_of_images, [], [], [], [], [], cont_page, [], [], ocr_all_textlines, []) + if self.plotter: self.plotter.write_images_into_directory(polygons_of_images, image_page) + + msg = "Image extraction complete" + print(msg) + self.logger.info(msg) return pcgts + # Basic Processing Mode if self.skip_layout_and_reading_order: + msg = "Step 2/5: Basic Processing Mode" + print(msg) + self.logger.info(msg) + msg = "Skipping layout analysis and reading order detection" + print(msg) + self.logger.info(msg) + _ ,_, _, textline_mask_tot_ea, img_bin_light, _ = \ self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier, skip_layout_and_reading_order=self.skip_layout_and_reading_order) @@ -4349,11 +4432,21 @@ class Eynollah: all_found_textline_polygons, page_coord, polygons_of_images, polygons_of_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) + msg = "Basic processing complete" + print(msg) + self.logger.info(msg) return pcgts #print("text region early -1 in %.1fs", time.time() - t0) t1 = time.time() + msg = "Step 2/5: Layout Analysis" + print(msg) + self.logger.info(msg) + if self.light_version: + msg = "Using light version processing" + print(msg) + self.logger.info(msg) text_regions_p_1 ,erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin_light, confidence_matrix = \ self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier) #print("text region early -2 in %.1fs", time.time() - t0) @@ -4384,20 +4477,30 @@ class Eynollah: text_regions_p_1 ,erosion_hurts, polygons_lines_xml = \ self.get_regions_from_xy_2models(img_res, is_image_enhanced, num_col_classifier) - self.logger.info("Textregion detection took %.1fs ", time.time() - t1) + msg = f"Textregion detection took {time.time() - t1:.1f}s" + print(msg) + self.logger.info(msg) confidence_matrix = np.zeros((text_regions_p_1.shape[:2])) t1 = time.time() num_col, num_col_classifier, img_only_regions, page_coord, image_page, mask_images, mask_lines, \ text_regions_p_1, cont_page, table_prediction = \ self.run_graphics_and_columns(text_regions_p_1, num_col_classifier, num_column_is_classified, erosion_hurts) - self.logger.info("Graphics detection took %.1fs ", time.time() - t1) + msg = f"Graphics detection took {time.time() - t1:.1f}s" + print(msg) + self.logger.info(msg) #self.logger.info('cont_page %s', cont_page) #plt.imshow(table_prediction) #plt.show() + msg = f"Layout analysis complete ({time.time() - t1:.1f}s)" + print(msg) + self.logger.info(msg) if not num_col: - self.logger.info("No columns detected, outputting an empty PAGE-XML") + msg = "No columns detected - generating empty PAGE-XML" + print(msg) + self.logger.info(msg) + ocr_all_textlines = None pcgts = self.writer.build_pagexml_no_full_layout( [], page_coord, [], [], [], [], [], [], [], [], [], [], @@ -4408,10 +4511,18 @@ class Eynollah: t1 = time.time() if not self.light_version: textline_mask_tot_ea = self.run_textline(image_page) - self.logger.info("textline detection took %.1fs", time.time() - t1) + msg = f"Textline detection took {time.time() - t1:.1f}s" + print(msg) + self.logger.info(msg) t1 = time.time() slope_deskew, slope_first = self.run_deskew(textline_mask_tot_ea) - self.logger.info("deskewing took %.1fs", time.time() - t1) + if np.abs(slope_deskew) > 0.01: # Only log if there is significant skew + msg = f"Applied deskew correction: {slope_deskew:.2f} degrees" + print(msg) + self.logger.info(msg) + msg = f"Deskewing took {time.time() - t1:.1f}s" + print(msg) + self.logger.info(msg) elif num_col_classifier in (1,2): org_h_l_m = textline_mask_tot_ea.shape[0] org_w_l_m = textline_mask_tot_ea.shape[1] @@ -4431,6 +4542,19 @@ class Eynollah: textline_mask_tot, text_regions_p, image_page_rotated = \ self.run_marginals(image_page, textline_mask_tot_ea, mask_images, mask_lines, num_col_classifier, slope_deskew, text_regions_p_1, table_prediction) + + msg = "Step 3/5: Text Line Detection" + print(msg) + self.logger.info(msg) + + if self.curved_line: + msg = "Mode: Curved line detection" + print(msg) + self.logger.info(msg) + elif self.textline_light: + msg = "Mode: Light detection" + print(msg) + self.logger.info(msg) if self.light_version and num_col_classifier in (1,2): image_page = resize_image(image_page,org_h_l_m, org_w_l_m ) @@ -4441,7 +4565,9 @@ class Eynollah: table_prediction = resize_image(table_prediction,org_h_l_m, org_w_l_m ) image_page_rotated = resize_image(image_page_rotated,org_h_l_m, org_w_l_m ) - self.logger.info("detection of marginals took %.1fs", time.time() - t1) + msg = f"Detection of marginals took {time.time() - t1:.1f}s" + print(msg) + self.logger.info(msg) #print("text region early 2 marginal in %.1fs", time.time() - t0) ## birdan sora chock chakir t1 = time.time() @@ -4540,7 +4666,9 @@ class Eynollah: cx_bigest_d_big[0] = cx_bigest_d[ind_largest] cy_biggest_d_big[0] = cy_biggest_d[ind_largest] except Exception as why: - self.logger.error(why) + msg = str(why) + print(f"Error: {msg}") + self.logger.error(msg) (h, w) = text_only.shape[:2] center = (w // 2.0, h // 2.0) @@ -4758,6 +4886,23 @@ class Eynollah: t_order = time.time() if self.full_layout: + msg = "Step 4/5: Reading Order Detection" + print(msg) + self.logger.info(msg) + + if self.reading_order_machine_based: + msg = "Using machine-based detection" + print(msg) + self.logger.info(msg) + if self.right2left: + msg = "Right-to-left mode enabled" + print(msg) + self.logger.info(msg) + if self.headers_off: + msg = "Headers ignored in reading order" + print(msg) + self.logger.info(msg) + if self.reading_order_machine_based: order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model( contours_only_text_parent, contours_only_text_parent_h, text_regions_p) @@ -4768,21 +4913,84 @@ class Eynollah: else: order_text_new, id_of_texts_tot = self.do_order_of_regions( contours_only_text_parent_d_ordered, contours_only_text_parent_h_d_ordered, boxes_d, textline_mask_tot_d) - self.logger.info("detection of reading order took %.1fs", time.time() - t_order) + msg = f"Detection of reading order took {time.time() - t_order:.1f}s" + print(msg) + self.logger.info(msg) if self.ocr: + msg = "Step 4.5/5: OCR Processing" + print(msg) + self.logger.info(msg) + + if torch.cuda.is_available(): + msg = "Using GPU acceleration" + print(msg) + self.logger.info(msg) + else: + msg = "Using CPU processing" + print(msg) + self.logger.info(msg) + ocr_all_textlines = [] else: ocr_all_textlines = None + + msg = "Step 5/5: Output Generation" + print(msg) + self.logger.info(msg) + + output_config = [] + if self.enable_plotting: + output_config.append("Saving debug plots") + if self.dir_of_cropped_images: + output_config.append(f"Saving cropped images to: {self.dir_of_cropped_images}") + if self.dir_of_layout: + output_config.append(f"Saving layout plots to: {self.dir_of_layout}") + if self.dir_of_deskewed: + output_config.append(f"Saving deskewed images to: {self.dir_of_deskewed}") + + if output_config: + self.logger.info("Output configuration:\n * %s", "\n * ".join(output_config)) + pcgts = self.writer.build_pagexml_full_layout( contours_only_text_parent, contours_only_text_parent_h, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, all_found_textline_polygons_h, all_box_coord, all_box_coord_h, polygons_of_images, contours_tables, polygons_of_drop_capitals, polygons_of_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_h, slopes_marginals, cont_page, polygons_lines_xml, ocr_all_textlines, conf_contours_textregions, conf_contours_textregions_h) + + summary = [ + f"Total processing time: {time.time() - t0:.1f}s", + f"Output file: {self.writer.output_filename}" + ] + + if self.ocr: + summary.append("OCR processing completed") + if self.full_layout: + summary.append("Full layout analysis completed") + if self.tables: + summary.append("Table detection completed") + return pcgts contours_only_text_parent_h = None + msg = "Step 4/5: Reading Order Detection" + print(msg) + self.logger.info(msg) + + if self.reading_order_machine_based: + msg = "Using machine-based detection" + print(msg) + self.logger.info(msg) + if self.right2left: + msg = "Right-to-left mode enabled" + print(msg) + self.logger.info(msg) + if self.headers_off: + msg = "Headers ignored in reading order" + print(msg) + self.logger.info(msg) + if self.reading_order_machine_based: order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model( contours_only_text_parent, contours_only_text_parent_h, text_regions_p) @@ -4803,6 +5011,33 @@ class Eynollah: contours_only_text_parent_d_ordered, contours_only_text_parent_h, boxes_d, textline_mask_tot_d) if self.ocr: + msg = "Step 4.5/5: OCR Processing" + print(msg) + self.logger.info(msg) + + if torch.cuda.is_available(): + msg = "Using GPU acceleration" + print(msg) + self.logger.info(msg) + else: + msg = "Using CPU processing" + print(msg) + self.logger.info(msg) + + if self.light_version: + msg = "Using light version OCR" + print(msg) + self.logger.info(msg) + + if self.textline_light: + msg = "Using light text line detection for OCR" + print(msg) + self.logger.info(msg) + + msg = "Processing text lines..." + print(msg) + self.logger.info(msg) + device = cuda.get_current_device() device.reset() gc.collect() @@ -4853,12 +5088,52 @@ class Eynollah: else: ocr_all_textlines = None #print(ocr_all_textlines) - self.logger.info("detection of reading order took %.1fs", time.time() - t_order) + msg = f"Detection of reading order took {time.time() - t_order:.1f}s" + print(msg) + self.logger.info(msg) + + msg = "Step 5/5: Output Generation" + print(msg) + self.logger.info(msg) + + msg = "Generating PAGE-XML output" + print(msg) + self.logger.info(msg) + + if self.enable_plotting: + msg = "Saving debug plots" + print(msg) + self.logger.info(msg) + + if self.dir_of_cropped_images: + msg = f"Saving cropped images to: {self.dir_of_cropped_images}" + print(msg) + self.logger.info(msg) + + if self.dir_of_layout: + msg = f"Saving layout plots to: {self.dir_of_layout}" + print(msg) + self.logger.info(msg) + + if self.dir_of_deskewed: + msg = f"Saving deskewed images to: {self.dir_of_deskewed}" + print(msg) + self.logger.info(msg) + pcgts = self.writer.build_pagexml_no_full_layout( txt_con_org, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, all_box_coord, polygons_of_images, polygons_of_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) + + msg = f"\nProcessing completed in {time.time() - t0:.1f}s" + print(msg) + self.logger.info(msg) + + msg = f"Output file: {self.writer.output_filename}" + print(msg) + self.logger.info(msg) + return pcgts From 6a735daa606aa50e172c8cd6d82f18d94e8e9ea8 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Sun, 31 Aug 2025 23:30:54 +0200 Subject: [PATCH 10/57] Update README.md --- README.md | 23 +++++++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8a2c4a4..1adc3d7 100644 --- a/README.md +++ b/README.md @@ -118,10 +118,29 @@ eynollah binarization \ ``` ### OCR -Under development +The OCR module performs text recognition from images using two main families of pretrained models: CNN-RNN–based OCR and Transformer-based OCR. + +The command-line interface for ocr can be called like this: + +```sh +eynollah ocr \ + -m | --model_name \ + -i | -di \ + -dx \ + -o +``` ### Machine-based-reading-order -Under development +The machine-based reading-order module employs a pretrained model to identify the reading order from layouts represented in PAGE-XML files. + +The command-line interface for machine based reading order can be called like this: + +```sh +eynollah machine-based-reading-order \ + -m \ + -xml | -dx \ + -o +``` #### Use as OCR-D processor Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli), From c64d1026136161ee9c2ea71e9cb996390531c9de Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 18 Sep 2025 13:07:41 +0200 Subject: [PATCH 11/57] move logging to CLI and make initialization optional --- .gitignore | 1 + src/eynollah/cli.py | 54 +++++++++++++++++++++++++++++++++++++--- src/eynollah/eynollah.py | 13 +--------- 3 files changed, 52 insertions(+), 16 deletions(-) diff --git a/.gitignore b/.gitignore index 5236dde..0d5d834 100644 --- a/.gitignore +++ b/.gitignore @@ -5,3 +5,4 @@ models_eynollah* output.html /build /dist +*.tif diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index c189aca..b980e16 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -1,5 +1,6 @@ import sys import click +import logging from ocrd_utils import initLogging, getLevelName, getLogger from eynollah.eynollah import Eynollah, Eynollah_ocr from eynollah.sbb_binarize import SbbBinarizer @@ -241,15 +242,61 @@ def binarization(patches, model_dir, input_image, output_image, dir_in, dir_out) is_flag=True, help="if this parameter set to true, this tool will ignore layout detection and reading order. It means that textline detection will be done within printspace and contours of textline will be written in xml output file.", ) +# TODO move to top-level CLI context @click.option( "--log_level", "-l", type=click.Choice(['OFF', 'DEBUG', 'INFO', 'WARN', 'ERROR']), - help="Override log level globally to this", + help="Override 'eynollah' log level globally to this", +) +# +@click.option( + "--setup-logging", + is_flag=True, + help="Setup a basic console logger", ) -def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_deskewed, save_all, extract_only_images, save_page, enable_plotting, allow_enhancement, curved_line, textline_light, full_layout, tables, right2left, input_binary, allow_scaling, headers_off, light_version, reading_order_machine_based, do_ocr, num_col_upper, num_col_lower, skip_layout_and_reading_order, ignore_page_extraction, log_level): - initLogging() +def layout( + image, + out, + overwrite, + dir_in, + model, + save_images, + save_layout, + save_deskewed, + save_all, + extract_only_images, + save_page, + enable_plotting, + allow_enhancement, + curved_line, + textline_light, + full_layout, + tables, + right2left, + input_binary, + allow_scaling, + headers_off, + light_version, + reading_order_machine_based, + do_ocr, + num_col_upper, + num_col_lower, + skip_layout_and_reading_order, + ignore_page_extraction, + log_level, + setup_logging +): + if setup_logging: + console_handler = logging.StreamHandler(sys.stdout) + console_handler.setLevel(logging.INFO) + formatter = logging.Formatter('%(message)s') + console_handler.setFormatter(formatter) + getLogger('eynollah').addHandler(console_handler) + getLogger('eynollah').setLevel(logging.INFO) + else: + initLogging() if log_level: getLogger('eynollah').setLevel(getLevelName(log_level)) assert enable_plotting or not save_layout, "Plotting with -sl also requires -ep" @@ -273,7 +320,6 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ assert image or dir_in, "Either a single image -i or a dir_in -di is required" eynollah = Eynollah( model, - logger=getLogger('eynollah'), dir_out=out, dir_of_cropped_images=save_images, extract_only_images=extract_only_images, diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index d9939ca..e80b8d0 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -6,7 +6,6 @@ document layout analysis (segmentation) with output in PAGE-XML """ -from logging import Logger from difflib import SequenceMatcher as sq from PIL import Image, ImageDraw, ImageFont import math @@ -201,18 +200,8 @@ class Eynollah: num_col_upper : Optional[int] = None, num_col_lower : Optional[int] = None, skip_layout_and_reading_order : bool = False, - logger : Optional[Logger] = None, ): - if logger: - self.logger = logger - else: - self.logger = getLogger('eynollah') - console_handler = logging.StreamHandler(sys.stdout) - console_handler.setLevel(logging.INFO) - formatter = logging.Formatter('%(message)s') - console_handler.setFormatter(formatter) - self.logger.addHandler(console_handler) - self.logger.setLevel(logging.INFO) + self.logger = getLogger('eynollah') if skip_layout_and_reading_order: textline_light = True From 146102842aac15275647e2e565e5e2549b3ba1fd Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 18 Sep 2025 13:15:18 +0200 Subject: [PATCH 12/57] convert all print stmts to logger.info calls --- src/eynollah/eynollah.py | 223 ++++++++++----------------------------- 1 file changed, 56 insertions(+), 167 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index e80b8d0..39476e2 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -312,9 +312,7 @@ class Eynollah: except: self.logger.warning("no GPU device available") - msg = "Loading models..." - print(msg) - self.logger.info(msg) + self.logger.info("Loading models...") self.model_page = self.our_load_model(self.model_page_dir) self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier) @@ -343,9 +341,7 @@ class Eynollah: if self.tables: self.model_table = self.our_load_model(self.model_table_dir) - msg = f"Model initialization complete ({time.time() - t_start:.1f}s)" - print(msg) - self.logger.info(msg) + self.logger.info(f"Model initialization complete ({time.time() - t_start:.1f}s)") def cache_images(self, image_filename=None, image_pil=None, dpi=None): ret = {} @@ -3453,7 +3449,7 @@ class Eynollah: peaks_real, _ = find_peaks(sum_smoothed, height=0) if len(peaks_real)>70: - print(len(peaks_real), 'len(peaks_real)') + self.logger.debug(f'len(peaks_real) = {len(peaks_real)}') peaks_real = peaks_real[(peaks_realwidth1)] @@ -4302,14 +4298,11 @@ class Eynollah: if dir_in: self.logger.info("All jobs done in %.1fs", time.time() - t0_tot) - print("all Job done in %.1fs", time.time() - t0_tot) def run_single(self): t0 = time.time() - msg = f"Processing file: {self.writer.image_filename}" - print(msg) - self.logger.info(msg) + self.logger.info(f"Processing file: {self.writer.image_filename}") # Log enabled features directly enabled_modes = [] @@ -4325,35 +4318,23 @@ class Eynollah: enabled_modes.append("Table detection") if enabled_modes: - msg = "Enabled modes: " + ", ".join(enabled_modes) - print(msg) - self.logger.info(msg) + self.logger.info("Enabled modes: " + ", ".join(enabled_modes)) - msg = "Step 1/5: Image Enhancement" - print(msg) - self.logger.info(msg) + self.logger.info("Step 1/5: Image Enhancement") img_res, is_image_enhanced, num_col_classifier, num_column_is_classified = self.run_enhancement(self.light_version) - msg = f"Image: {self.image.shape[1]}x{self.image.shape[0]}, {self.dpi} DPI, {num_col_classifier} columns" - print(msg) - self.logger.info(msg) + self.logger.info(f"Image: {self.image.shape[1]}x{self.image.shape[0]}, {self.dpi} DPI, {num_col_classifier} columns") if is_image_enhanced: - msg = "Enhancement applied" - print(msg) - self.logger.info(msg) + self.logger.info("Enhancement applied") - msg = f"Enhancement complete ({time.time() - t0:.1f}s)" - print(msg) - self.logger.info(msg) + self.logger.info(f"Enhancement complete ({time.time() - t0:.1f}s)") # Image Extraction Mode if self.extract_only_images: - msg = "Step 2/5: Image Extraction Mode" - print(msg) - self.logger.info(msg) + self.logger.info("Step 2/5: Image Extraction Mode") text_regions_p_1, erosion_hurts, polygons_lines_xml, polygons_of_images, image_page, page_coord, cont_page = \ self.get_regions_light_v_extract_only_images(img_res, is_image_enhanced, num_col_classifier) @@ -4367,19 +4348,13 @@ class Eynollah: if self.plotter: self.plotter.write_images_into_directory(polygons_of_images, image_page) - msg = "Image extraction complete" - print(msg) - self.logger.info(msg) + self.logger.info("Image extraction complete") return pcgts # Basic Processing Mode if self.skip_layout_and_reading_order: - msg = "Step 2/5: Basic Processing Mode" - print(msg) - self.logger.info(msg) - msg = "Skipping layout analysis and reading order detection" - print(msg) - self.logger.info(msg) + self.logger.info("Step 2/5: Basic Processing Mode") + self.logger.info("Skipping layout analysis and reading order detection") _ ,_, _, textline_mask_tot_ea, img_bin_light, _ = \ self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier, @@ -4421,21 +4396,15 @@ class Eynollah: all_found_textline_polygons, page_coord, polygons_of_images, polygons_of_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) - msg = "Basic processing complete" - print(msg) - self.logger.info(msg) + self.logger.info("Basic processing complete") return pcgts #print("text region early -1 in %.1fs", time.time() - t0) t1 = time.time() - msg = "Step 2/5: Layout Analysis" - print(msg) - self.logger.info(msg) + self.logger.info("Step 2/5: Layout Analysis") if self.light_version: - msg = "Using light version processing" - print(msg) - self.logger.info(msg) + self.logger.info("Using light version processing") text_regions_p_1 ,erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin_light, confidence_matrix = \ self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier) #print("text region early -2 in %.1fs", time.time() - t0) @@ -4466,29 +4435,21 @@ class Eynollah: text_regions_p_1 ,erosion_hurts, polygons_lines_xml = \ self.get_regions_from_xy_2models(img_res, is_image_enhanced, num_col_classifier) - msg = f"Textregion detection took {time.time() - t1:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"Textregion detection took {time.time() - t1:.1f}s") confidence_matrix = np.zeros((text_regions_p_1.shape[:2])) t1 = time.time() num_col, num_col_classifier, img_only_regions, page_coord, image_page, mask_images, mask_lines, \ text_regions_p_1, cont_page, table_prediction = \ self.run_graphics_and_columns(text_regions_p_1, num_col_classifier, num_column_is_classified, erosion_hurts) - msg = f"Graphics detection took {time.time() - t1:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"Graphics detection took {time.time() - t1:.1f}s") #self.logger.info('cont_page %s', cont_page) #plt.imshow(table_prediction) #plt.show() - msg = f"Layout analysis complete ({time.time() - t1:.1f}s)" - print(msg) - self.logger.info(msg) + self.logger.info(f"Layout analysis complete ({time.time() - t1:.1f}s)") if not num_col: - msg = "No columns detected - generating empty PAGE-XML" - print(msg) - self.logger.info(msg) + self.logger.info("No columns detected - generating empty PAGE-XML") ocr_all_textlines = None pcgts = self.writer.build_pagexml_no_full_layout( @@ -4500,18 +4461,12 @@ class Eynollah: t1 = time.time() if not self.light_version: textline_mask_tot_ea = self.run_textline(image_page) - msg = f"Textline detection took {time.time() - t1:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"Textline detection took {time.time() - t1:.1f}s") t1 = time.time() slope_deskew, slope_first = self.run_deskew(textline_mask_tot_ea) if np.abs(slope_deskew) > 0.01: # Only log if there is significant skew - msg = f"Applied deskew correction: {slope_deskew:.2f} degrees" - print(msg) - self.logger.info(msg) - msg = f"Deskewing took {time.time() - t1:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"Applied deskew correction: {slope_deskew:.2f} degrees") + self.logger.info(f"Deskewing took {time.time() - t1:.1f}s") elif num_col_classifier in (1,2): org_h_l_m = textline_mask_tot_ea.shape[0] org_w_l_m = textline_mask_tot_ea.shape[1] @@ -4532,18 +4487,12 @@ class Eynollah: self.run_marginals(image_page, textline_mask_tot_ea, mask_images, mask_lines, num_col_classifier, slope_deskew, text_regions_p_1, table_prediction) - msg = "Step 3/5: Text Line Detection" - print(msg) - self.logger.info(msg) + self.logger.info("Step 3/5: Text Line Detection") if self.curved_line: - msg = "Mode: Curved line detection" - print(msg) - self.logger.info(msg) + self.logger.info("Mode: Curved line detection") elif self.textline_light: - msg = "Mode: Light detection" - print(msg) - self.logger.info(msg) + self.logger.info("Mode: Light detection") if self.light_version and num_col_classifier in (1,2): image_page = resize_image(image_page,org_h_l_m, org_w_l_m ) @@ -4554,9 +4503,7 @@ class Eynollah: table_prediction = resize_image(table_prediction,org_h_l_m, org_w_l_m ) image_page_rotated = resize_image(image_page_rotated,org_h_l_m, org_w_l_m ) - msg = f"Detection of marginals took {time.time() - t1:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"Detection of marginals took {time.time() - t1:.1f}s") #print("text region early 2 marginal in %.1fs", time.time() - t0) ## birdan sora chock chakir t1 = time.time() @@ -4655,9 +4602,7 @@ class Eynollah: cx_bigest_d_big[0] = cx_bigest_d[ind_largest] cy_biggest_d_big[0] = cy_biggest_d[ind_largest] except Exception as why: - msg = str(why) - print(f"Error: {msg}") - self.logger.error(msg) + self.logger.error(str(why)) (h, w) = text_only.shape[:2] center = (w // 2.0, h // 2.0) @@ -4875,22 +4820,14 @@ class Eynollah: t_order = time.time() if self.full_layout: - msg = "Step 4/5: Reading Order Detection" - print(msg) - self.logger.info(msg) + self.logger.info(ep 4/5: Reading Order Detection") if self.reading_order_machine_based: - msg = "Using machine-based detection" - print(msg) - self.logger.info(msg) + self.logger.info("Using machine-based detection") if self.right2left: - msg = "Right-to-left mode enabled" - print(msg) - self.logger.info(msg) + self.logger.info("Right-to-left mode enabled") if self.headers_off: - msg = "Headers ignored in reading order" - print(msg) - self.logger.info(msg) + self.logger.info("Headers ignored in reading order") if self.reading_order_machine_based: order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model( @@ -4902,31 +4839,21 @@ class Eynollah: else: order_text_new, id_of_texts_tot = self.do_order_of_regions( contours_only_text_parent_d_ordered, contours_only_text_parent_h_d_ordered, boxes_d, textline_mask_tot_d) - msg = f"Detection of reading order took {time.time() - t_order:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"Detection of reading order took {time.time() - t_order:.1f}s") if self.ocr: - msg = "Step 4.5/5: OCR Processing" - print(msg) - self.logger.info(msg) + self.logger.info("Step 4.5/5: OCR Processing") if torch.cuda.is_available(): - msg = "Using GPU acceleration" - print(msg) - self.logger.info(msg) + self.logger.info("Using GPU acceleration") else: - msg = "Using CPU processing" - print(msg) - self.logger.info(msg) + self.logger.info("Using CPU processing") ocr_all_textlines = [] else: ocr_all_textlines = None - msg = "Step 5/5: Output Generation" - print(msg) - self.logger.info(msg) + self.logger.info("Step 5/5: Output Generation") output_config = [] if self.enable_plotting: @@ -4963,22 +4890,14 @@ class Eynollah: return pcgts contours_only_text_parent_h = None - msg = "Step 4/5: Reading Order Detection" - print(msg) - self.logger.info(msg) + self.logger.info("Step 4/5: Reading Order Detection") if self.reading_order_machine_based: - msg = "Using machine-based detection" - print(msg) - self.logger.info(msg) + self.logger.info("Using machine-based detection") if self.right2left: - msg = "Right-to-left mode enabled" - print(msg) - self.logger.info(msg) + self.logger.info("Right-to-left mode enabled") if self.headers_off: - msg = "Headers ignored in reading order" - print(msg) - self.logger.info(msg) + self.logger.info("Headers ignored in reading order") if self.reading_order_machine_based: order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model( @@ -5000,32 +4919,20 @@ class Eynollah: contours_only_text_parent_d_ordered, contours_only_text_parent_h, boxes_d, textline_mask_tot_d) if self.ocr: - msg = "Step 4.5/5: OCR Processing" - print(msg) - self.logger.info(msg) + self.logger.info("Step 4.5/5: OCR Processing") if torch.cuda.is_available(): - msg = "Using GPU acceleration" - print(msg) - self.logger.info(msg) + self.logger.info("Using GPU acceleration") else: - msg = "Using CPU processing" - print(msg) - self.logger.info(msg) + self.logger.info("Using CPU processing") if self.light_version: - msg = "Using light version OCR" - print(msg) - self.logger.info(msg) + self.logger.info("Using light version OCR") if self.textline_light: - msg = "Using light text line detection for OCR" - print(msg) - self.logger.info(msg) + self.logger.info("Using light text line detection for OCR") - msg = "Processing text lines..." - print(msg) - self.logger.info(msg) + self.logger.info("Processing text lines...") device = cuda.get_current_device() device.reset() @@ -5077,37 +4984,23 @@ class Eynollah: else: ocr_all_textlines = None #print(ocr_all_textlines) - msg = f"Detection of reading order took {time.time() - t_order:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"Detection of reading order took {time.time() - t_order:.1f}s") - msg = "Step 5/5: Output Generation" - print(msg) - self.logger.info(msg) + self.logger.info("Step 5/5: Output Generation") - msg = "Generating PAGE-XML output" - print(msg) - self.logger.info(msg) + self.logger.info("Generating PAGE-XML output") if self.enable_plotting: - msg = "Saving debug plots" - print(msg) - self.logger.info(msg) + self.logger.info("Saving debug plots") if self.dir_of_cropped_images: - msg = f"Saving cropped images to: {self.dir_of_cropped_images}" - print(msg) - self.logger.info(msg) + self.logger.info(f"Saving cropped images to: {self.dir_of_cropped_images}") if self.dir_of_layout: - msg = f"Saving layout plots to: {self.dir_of_layout}" - print(msg) - self.logger.info(msg) + self.logger.info(f"Saving layout plots to: {self.dir_of_layout}") if self.dir_of_deskewed: - msg = f"Saving deskewed images to: {self.dir_of_deskewed}" - print(msg) - self.logger.info(msg) + self.logger.info(f"Saving deskewed images to: {self.dir_of_deskewed}") pcgts = self.writer.build_pagexml_no_full_layout( txt_con_org, page_coord, order_text_new, id_of_texts_tot, @@ -5115,13 +5008,9 @@ class Eynollah: all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) - msg = f"\nProcessing completed in {time.time() - t0:.1f}s" - print(msg) - self.logger.info(msg) + self.logger.info(f"\nProcessing completed in {time.time() - t0:.1f}s") - msg = f"Output file: {self.writer.output_filename}" - print(msg) - self.logger.info(msg) + self.logger.info(f"Output file: {self.writer.output_filename}") return pcgts From 5c9cf8472bc3c39827d751db8d1562afe02b13c3 Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 18 Sep 2025 13:19:57 +0200 Subject: [PATCH 13/57] remove redundant/brittle interval logging --- src/eynollah/eynollah.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 39476e2..14dfbb3 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -4293,7 +4293,6 @@ class Eynollah: pcgts = self.run_single() self.logger.info("Job done in %.1fs", time.time() - t0) - #print("Job done in %.1fs" % (time.time() - t0)) self.writer.write_pagexml(pcgts) if dir_in: @@ -4504,7 +4503,6 @@ class Eynollah: image_page_rotated = resize_image(image_page_rotated,org_h_l_m, org_w_l_m ) self.logger.info(f"Detection of marginals took {time.time() - t1:.1f}s") - #print("text region early 2 marginal in %.1fs", time.time() - t0) ## birdan sora chock chakir t1 = time.time() if not self.full_layout: @@ -5008,8 +5006,6 @@ class Eynollah: all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) - self.logger.info(f"\nProcessing completed in {time.time() - t0:.1f}s") - self.logger.info(f"Output file: {self.writer.output_filename}") return pcgts From d0817f5744f4e78f3880d1ea87423e8260da9a81 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 12:08:50 +0200 Subject: [PATCH 14/57] fix typo --- src/eynollah/eynollah.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 73d07b5..2813c56 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -5091,7 +5091,7 @@ class Eynollah: t_order = time.time() if self.full_layout: - self.logger.info(ep 4/5: Reading Order Detection") + self.logger.info("Step 4/5: Reading Order Detection") if self.reading_order_machine_based: self.logger.info("Using machine-based detection") From 7933b103f5378f025eda2f5347095ee26e3eb159 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 12:09:30 +0200 Subject: [PATCH 15/57] log modes only once (in run, not in run_single) --- src/eynollah/eynollah.py | 35 ++++++++++++++++------------------- 1 file changed, 16 insertions(+), 19 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 2813c56..82073c3 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -4531,6 +4531,21 @@ class Eynollah: self.logger.debug("enter run") t0_tot = time.time() + # Log enabled features directly + enabled_modes = [] + if self.light_version: + enabled_modes.append("Light version") + if self.textline_light: + enabled_modes.append("Light textline detection") + if self.full_layout: + enabled_modes.append("Full layout analysis") + if self.ocr: + enabled_modes.append("OCR") + if self.tables: + enabled_modes.append("Table detection") + if enabled_modes: + self.logger.info("Enabled modes: " + ", ".join(enabled_modes)) + if dir_in: self.ls_imgs = os.listdir(dir_in) self.ls_imgs = [ind_img for ind_img in self.ls_imgs if ind_img.endswith('.jpg') or ind_img.endswith('.jpeg') or ind_img.endswith('.png') or ind_img.endswith('.tif') or ind_img.endswith('.tiff') or ind_img.endswith('.JPG') or ind_img.endswith('.JPEG') or ind_img.endswith('.TIF') or ind_img.endswith('.TIFF') or ind_img.endswith('.PNG')] @@ -4563,25 +4578,7 @@ class Eynollah: def run_single(self): t0 = time.time() - self.logger.info(f"Processing file: {self.writer.image_filename}") - - # Log enabled features directly - enabled_modes = [] - if self.light_version: - enabled_modes.append("Light version") - if self.textline_light: - enabled_modes.append("Light textline detection") - if self.full_layout: - enabled_modes.append("Full layout analysis") - if self.ocr: - enabled_modes.append("OCR") - if self.tables: - enabled_modes.append("Table detection") - - if enabled_modes: - self.logger.info("Enabled modes: " + ", ".join(enabled_modes)) - - + self.logger.info(f"Processing file: {self.writer.image_filename}") self.logger.info("Step 1/5: Image Enhancement") img_res, is_image_enhanced, num_col_classifier, num_column_is_classified = self.run_enhancement(self.light_version) From 90f1d7aa47e481731e0ec021f9af070b8bf9a0fd Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 12:10:11 +0200 Subject: [PATCH 16/57] rm summary msg (info already logged elsewhere) --- src/eynollah/eynollah.py | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 82073c3..ed2c9fb 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -5172,19 +5172,6 @@ class Eynollah: all_found_textline_polygons_marginals_left, all_found_textline_polygons_marginals_right, all_box_coord_marginals_left, all_box_coord_marginals_right, slopes, slopes_h, slopes_marginals_left, slopes_marginals_right, cont_page, polygons_lines_xml, ocr_all_textlines, ocr_all_textlines_h, ocr_all_textlines_marginals_left, ocr_all_textlines_marginals_right, ocr_all_textlines_drop, conf_contours_textregions, conf_contours_textregions_h) - summary = [ - f"Total processing time: {time.time() - t0:.1f}s", - f"Output file: {self.writer.output_filename}" - ] - - if self.ocr: - summary.append("OCR processing completed") - if self.full_layout: - summary.append("Full layout analysis completed") - if self.tables: - summary.append("Table detection completed") - self.logger.info(f"Summary: {summary}") - return pcgts contours_only_text_parent_h = None From 5bd318e6576858718f1953749cb448bd4a7dece0 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 12:14:32 +0200 Subject: [PATCH 17/57] rm print statement (already log msg) --- src/eynollah/eynollah.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index ed2c9fb..27277ee 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -4555,7 +4555,6 @@ class Eynollah: raise ValueError("run requires either a single image filename or a directory") for img_filename in self.ls_imgs: - print(img_filename, 'img_filename') self.logger.info(img_filename) t0 = time.time() From b75ca0d31fc4b8b2806569aebfa38e3203a0e7a0 Mon Sep 17 00:00:00 2001 From: kba Date: Wed, 24 Sep 2025 16:29:05 +0200 Subject: [PATCH 18/57] mb_ro_on_layout: remove copy-pasta code not actually used --- src/eynollah/mb_ro_on_layout.py | 333 +------------------------------- 1 file changed, 3 insertions(+), 330 deletions(-) diff --git a/src/eynollah/mb_ro_on_layout.py b/src/eynollah/mb_ro_on_layout.py index c03d831..c6c02cf 100644 --- a/src/eynollah/mb_ro_on_layout.py +++ b/src/eynollah/mb_ro_on_layout.py @@ -3,46 +3,26 @@ Image enhancer. The output can be written as same scale of input or in new predi """ from logging import Logger -from difflib import SequenceMatcher as sq -from PIL import Image, ImageDraw, ImageFont -import math import os -import sys import time from typing import Optional import atexit -import warnings from functools import partial from pathlib import Path from multiprocessing import cpu_count -import gc -import copy from loky import ProcessPoolExecutor import xml.etree.ElementTree as ET import cv2 import numpy as np -from ocrd import OcrdPage -from ocrd_utils import getLogger, tf_disable_interactive_logs +from ocrd_utils import getLogger import statistics +import tensorflow as tf from tensorflow.keras.models import load_model from .utils.resize import resize_image -from .utils import ( - crop_image_inside_box -) from .utils.contour import ( - filter_contours_area_of_image, - filter_contours_area_of_image_tables, - find_contours_mean_y_diff, find_new_features_of_contours, - find_features_of_contours, - get_text_region_boxes_by_given_contours, - get_textregion_contours_in_org_image, - get_textregion_contours_in_org_image_light, return_contours_of_image, - return_contours_of_interested_region, - return_contours_of_interested_region_by_min_size, - return_contours_of_interested_textline, return_parent_contours, ) @@ -64,7 +44,7 @@ class machine_based_reading_order_on_layout: self.executor = ProcessPoolExecutor(max_workers=cpu_count(), timeout=1200) atexit.register(self.executor.shutdown) self.dir_models = dir_models - self.model_reading_order_dir = dir_models + "/model_eynollah_reading_order_20250824"#"/model_ens_reading_order_machine_based" + self.model_reading_order_dir = dir_models + "/model_eynollah_reading_order_20250824" try: for device in tf.config.list_physical_devices('GPU'): @@ -76,43 +56,7 @@ class machine_based_reading_order_on_layout: self.light_version = True - def cache_images(self, image_filename=None, image_pil=None, dpi=None): - ret = {} - t_c0 = time.time() - if image_filename: - ret['img'] = cv2.imread(image_filename) - if self.light_version: - self.dpi = 100 - else: - self.dpi = 0#check_dpi(image_filename) - else: - ret['img'] = pil2cv(image_pil) - if self.light_version: - self.dpi = 100 - else: - self.dpi = 0#check_dpi(image_pil) - ret['img_grayscale'] = cv2.cvtColor(ret['img'], cv2.COLOR_BGR2GRAY) - for prefix in ('', '_grayscale'): - ret[f'img{prefix}_uint8'] = ret[f'img{prefix}'].astype(np.uint8) - self._imgs = ret - if dpi is not None: - self.dpi = dpi - def reset_file_name_dir(self, image_filename): - t_c = time.time() - self.cache_images(image_filename=image_filename) - self.output_filename = os.path.join(self.dir_out, Path(image_filename).stem +'.png') - - def imread(self, grayscale=False, uint8=True): - key = 'img' - if grayscale: - key += '_grayscale' - if uint8: - key += '_uint8' - return self._imgs[key].copy() - - def isNaN(self, num): - return num != num @staticmethod def our_load_model(model_file): @@ -126,278 +70,7 @@ class machine_based_reading_order_on_layout: "PatchEncoder": PatchEncoder, "Patches": Patches}) return model - def predict_enhancement(self, img): - self.logger.debug("enter predict_enhancement") - - img_height_model = self.model_enhancement.layers[-1].output_shape[1] - img_width_model = self.model_enhancement.layers[-1].output_shape[2] - if img.shape[0] < img_height_model: - img = cv2.resize(img, (img.shape[1], img_width_model), interpolation=cv2.INTER_NEAREST) - if img.shape[1] < img_width_model: - img = cv2.resize(img, (img_height_model, img.shape[0]), interpolation=cv2.INTER_NEAREST) - margin = int(0.1 * img_width_model) - width_mid = img_width_model - 2 * margin - height_mid = img_height_model - 2 * margin - img = img / 255. - img_h = img.shape[0] - img_w = img.shape[1] - - prediction_true = np.zeros((img_h, img_w, 3)) - nxf = img_w / float(width_mid) - nyf = img_h / float(height_mid) - nxf = int(nxf) + 1 if nxf > int(nxf) else int(nxf) - nyf = int(nyf) + 1 if nyf > int(nyf) else int(nyf) - - for i in range(nxf): - for j in range(nyf): - if i == 0: - index_x_d = i * width_mid - index_x_u = index_x_d + img_width_model - else: - index_x_d = i * width_mid - index_x_u = index_x_d + img_width_model - if j == 0: - index_y_d = j * height_mid - index_y_u = index_y_d + img_height_model - else: - index_y_d = j * height_mid - index_y_u = index_y_d + img_height_model - - if index_x_u > img_w: - index_x_u = img_w - index_x_d = img_w - img_width_model - if index_y_u > img_h: - index_y_u = img_h - index_y_d = img_h - img_height_model - - img_patch = img[np.newaxis, index_y_d:index_y_u, index_x_d:index_x_u, :] - label_p_pred = self.model_enhancement.predict(img_patch, verbose=0) - seg = label_p_pred[0, :, :, :] * 255 - - if i == 0 and j == 0: - prediction_true[index_y_d + 0:index_y_u - margin, - index_x_d + 0:index_x_u - margin] = \ - seg[0:-margin or None, - 0:-margin or None] - elif i == nxf - 1 and j == nyf - 1: - prediction_true[index_y_d + margin:index_y_u - 0, - index_x_d + margin:index_x_u - 0] = \ - seg[margin:, - margin:] - elif i == 0 and j == nyf - 1: - prediction_true[index_y_d + margin:index_y_u - 0, - index_x_d + 0:index_x_u - margin] = \ - seg[margin:, - 0:-margin or None] - elif i == nxf - 1 and j == 0: - prediction_true[index_y_d + 0:index_y_u - margin, - index_x_d + margin:index_x_u - 0] = \ - seg[0:-margin or None, - margin:] - elif i == 0 and j != 0 and j != nyf - 1: - prediction_true[index_y_d + margin:index_y_u - margin, - index_x_d + 0:index_x_u - margin] = \ - seg[margin:-margin or None, - 0:-margin or None] - elif i == nxf - 1 and j != 0 and j != nyf - 1: - prediction_true[index_y_d + margin:index_y_u - margin, - index_x_d + margin:index_x_u - 0] = \ - seg[margin:-margin or None, - margin:] - elif i != 0 and i != nxf - 1 and j == 0: - prediction_true[index_y_d + 0:index_y_u - margin, - index_x_d + margin:index_x_u - margin] = \ - seg[0:-margin or None, - margin:-margin or None] - elif i != 0 and i != nxf - 1 and j == nyf - 1: - prediction_true[index_y_d + margin:index_y_u - 0, - index_x_d + margin:index_x_u - margin] = \ - seg[margin:, - margin:-margin or None] - else: - prediction_true[index_y_d + margin:index_y_u - margin, - index_x_d + margin:index_x_u - margin] = \ - seg[margin:-margin or None, - margin:-margin or None] - - prediction_true = prediction_true.astype(int) - return prediction_true - def calculate_width_height_by_columns(self, img, num_col, width_early, label_p_pred): - self.logger.debug("enter calculate_width_height_by_columns") - if num_col == 1: - img_w_new = 2000 - elif num_col == 2: - img_w_new = 2400 - elif num_col == 3: - img_w_new = 3000 - elif num_col == 4: - img_w_new = 4000 - elif num_col == 5: - img_w_new = 5000 - elif num_col == 6: - img_w_new = 6500 - else: - img_w_new = width_early - img_h_new = img_w_new * img.shape[0] // img.shape[1] - - if img_h_new >= 8000: - img_new = np.copy(img) - num_column_is_classified = False - else: - img_new = resize_image(img, img_h_new, img_w_new) - num_column_is_classified = True - - return img_new, num_column_is_classified - - def early_page_for_num_of_column_classification(self,img_bin): - self.logger.debug("enter early_page_for_num_of_column_classification") - if self.input_binary: - img = np.copy(img_bin).astype(np.uint8) - else: - img = self.imread() - img = cv2.GaussianBlur(img, (5, 5), 0) - img_page_prediction = self.do_prediction(False, img, self.model_page) - - imgray = cv2.cvtColor(img_page_prediction, cv2.COLOR_BGR2GRAY) - _, thresh = cv2.threshold(imgray, 0, 255, 0) - thresh = cv2.dilate(thresh, KERNEL, iterations=3) - contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) - if len(contours)>0: - cnt_size = np.array([cv2.contourArea(contours[j]) - for j in range(len(contours))]) - cnt = contours[np.argmax(cnt_size)] - box = cv2.boundingRect(cnt) - else: - box = [0, 0, img.shape[1], img.shape[0]] - cropped_page, page_coord = crop_image_inside_box(box, img) - - self.logger.debug("exit early_page_for_num_of_column_classification") - return cropped_page, page_coord - - def calculate_width_height_by_columns_1_2(self, img, num_col, width_early, label_p_pred): - self.logger.debug("enter calculate_width_height_by_columns") - if num_col == 1: - img_w_new = 1000 - else: - img_w_new = 1300 - img_h_new = img_w_new * img.shape[0] // img.shape[1] - - if label_p_pred[0][int(num_col - 1)] < 0.9 and img_w_new < width_early: - img_new = np.copy(img) - num_column_is_classified = False - #elif label_p_pred[0][int(num_col - 1)] < 0.8 and img_h_new >= 8000: - elif img_h_new >= 8000: - img_new = np.copy(img) - num_column_is_classified = False - else: - img_new = resize_image(img, img_h_new, img_w_new) - num_column_is_classified = True - - return img_new, num_column_is_classified - - def resize_and_enhance_image_with_column_classifier(self, light_version): - self.logger.debug("enter resize_and_enhance_image_with_column_classifier") - dpi = 0#self.dpi - self.logger.info("Detected %s DPI", dpi) - if self.input_binary: - img = self.imread() - prediction_bin = self.do_prediction(True, img, self.model_bin, n_batch_inference=5) - prediction_bin = 255 * (prediction_bin[:,:,0]==0) - prediction_bin = np.repeat(prediction_bin[:, :, np.newaxis], 3, axis=2).astype(np.uint8) - img= np.copy(prediction_bin) - img_bin = prediction_bin - else: - img = self.imread() - self.h_org, self.w_org = img.shape[:2] - img_bin = None - - width_early = img.shape[1] - t1 = time.time() - _, page_coord = self.early_page_for_num_of_column_classification(img_bin) - - self.image_page_org_size = img[page_coord[0] : page_coord[1], page_coord[2] : page_coord[3], :] - self.page_coord = page_coord - - if self.num_col_upper and not self.num_col_lower: - num_col = self.num_col_upper - label_p_pred = [np.ones(6)] - elif self.num_col_lower and not self.num_col_upper: - num_col = self.num_col_lower - label_p_pred = [np.ones(6)] - elif not self.num_col_upper and not self.num_col_lower: - if self.input_binary: - img_in = np.copy(img) - img_in = img_in / 255.0 - img_in = cv2.resize(img_in, (448, 448), interpolation=cv2.INTER_NEAREST) - img_in = img_in.reshape(1, 448, 448, 3) - else: - img_1ch = self.imread(grayscale=True) - width_early = img_1ch.shape[1] - img_1ch = img_1ch[page_coord[0] : page_coord[1], page_coord[2] : page_coord[3]] - - img_1ch = img_1ch / 255.0 - img_1ch = cv2.resize(img_1ch, (448, 448), interpolation=cv2.INTER_NEAREST) - img_in = np.zeros((1, img_1ch.shape[0], img_1ch.shape[1], 3)) - img_in[0, :, :, 0] = img_1ch[:, :] - img_in[0, :, :, 1] = img_1ch[:, :] - img_in[0, :, :, 2] = img_1ch[:, :] - - label_p_pred = self.model_classifier.predict(img_in, verbose=0) - num_col = np.argmax(label_p_pred[0]) + 1 - elif (self.num_col_upper and self.num_col_lower) and (self.num_col_upper!=self.num_col_lower): - if self.input_binary: - img_in = np.copy(img) - img_in = img_in / 255.0 - img_in = cv2.resize(img_in, (448, 448), interpolation=cv2.INTER_NEAREST) - img_in = img_in.reshape(1, 448, 448, 3) - else: - img_1ch = self.imread(grayscale=True) - width_early = img_1ch.shape[1] - img_1ch = img_1ch[page_coord[0] : page_coord[1], page_coord[2] : page_coord[3]] - - img_1ch = img_1ch / 255.0 - img_1ch = cv2.resize(img_1ch, (448, 448), interpolation=cv2.INTER_NEAREST) - img_in = np.zeros((1, img_1ch.shape[0], img_1ch.shape[1], 3)) - img_in[0, :, :, 0] = img_1ch[:, :] - img_in[0, :, :, 1] = img_1ch[:, :] - img_in[0, :, :, 2] = img_1ch[:, :] - - label_p_pred = self.model_classifier.predict(img_in, verbose=0) - num_col = np.argmax(label_p_pred[0]) + 1 - - if num_col > self.num_col_upper: - num_col = self.num_col_upper - label_p_pred = [np.ones(6)] - if num_col < self.num_col_lower: - num_col = self.num_col_lower - label_p_pred = [np.ones(6)] - else: - num_col = self.num_col_upper - label_p_pred = [np.ones(6)] - - self.logger.info("Found %d columns (%s)", num_col, np.around(label_p_pred, decimals=5)) - - if dpi < DPI_THRESHOLD: - if light_version and num_col in (1,2): - img_new, num_column_is_classified = self.calculate_width_height_by_columns_1_2( - img, num_col, width_early, label_p_pred) - else: - img_new, num_column_is_classified = self.calculate_width_height_by_columns( - img, num_col, width_early, label_p_pred) - if light_version: - image_res = np.copy(img_new) - else: - image_res = self.predict_enhancement(img_new) - is_image_enhanced = True - - else: - num_column_is_classified = True - image_res = np.copy(img) - is_image_enhanced = False - - self.logger.debug("exit resize_and_enhance_image_with_column_classifier") - return is_image_enhanced, img, image_res, num_col, num_column_is_classified, img_bin def read_xml(self, xml_file): file_name = Path(xml_file).stem tree1 = ET.parse(xml_file, parser = ET.XMLParser(encoding='utf-8')) From c8ebe84697bd20568320526163933840123238b3 Mon Sep 17 00:00:00 2001 From: kba Date: Wed, 24 Sep 2025 16:36:18 +0200 Subject: [PATCH 19/57] image_enhancer: add missing models, remove dead code --- src/eynollah/image_enhancer.py | 16 +++++----------- 1 file changed, 5 insertions(+), 11 deletions(-) diff --git a/src/eynollah/image_enhancer.py b/src/eynollah/image_enhancer.py index 983712d..7383b91 100644 --- a/src/eynollah/image_enhancer.py +++ b/src/eynollah/image_enhancer.py @@ -3,29 +3,23 @@ Image enhancer. The output can be written as same scale of input or in new predi """ from logging import Logger -from difflib import SequenceMatcher as sq -from PIL import Image, ImageDraw, ImageFont -import math import os -import sys import time from typing import Optional import atexit -import warnings from functools import partial from pathlib import Path from multiprocessing import cpu_count import gc -import copy from loky import ProcessPoolExecutor -import xml.etree.ElementTree as ET import cv2 import numpy as np -from ocrd import OcrdPage from ocrd_utils import getLogger, tf_disable_interactive_logs -import statistics +import tensorflow as tf +from skimage.morphology import skeletonize from tensorflow.keras.models import load_model from .utils.resize import resize_image +from .utils.pil_cv2 import pil2cv from .utils import ( crop_image_inside_box ) @@ -62,6 +56,7 @@ class Enhancer: self.executor = ProcessPoolExecutor(max_workers=cpu_count(), timeout=1200) atexit.register(self.executor.shutdown) self.dir_models = dir_models + self.model_dir_of_binarization = dir_models + "/eynollah-binarization_20210425" self.model_dir_of_enhancement = dir_models + "/eynollah-enhancement_20210425" self.model_dir_of_col_classifier = dir_models + "/eynollah-column-classifier_20210425" self.model_page_dir = dir_models + "/eynollah-page-extraction_20210425" @@ -75,10 +70,10 @@ class Enhancer: self.model_page = self.our_load_model(self.model_page_dir) self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier) self.model_enhancement = self.our_load_model(self.model_dir_of_enhancement) + self.model_bin = self.our_load_model(self.model_dir_of_binarization) def cache_images(self, image_filename=None, image_pil=None, dpi=None): ret = {} - t_c0 = time.time() if image_filename: ret['img'] = cv2.imread(image_filename) if self.light_version: @@ -99,7 +94,6 @@ class Enhancer: self.dpi = dpi def reset_file_name_dir(self, image_filename): - t_c = time.time() self.cache_images(image_filename=image_filename) self.output_filename = os.path.join(self.dir_out, Path(image_filename).stem +'.png') From 8b30bdbae2ad630b6f07cc0e82aa67cb01da3e50 Mon Sep 17 00:00:00 2001 From: kba Date: Wed, 24 Sep 2025 16:39:31 +0200 Subject: [PATCH 20/57] image_enhancer: use latest page extraction model --- src/eynollah/image_enhancer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/eynollah/image_enhancer.py b/src/eynollah/image_enhancer.py index 7383b91..f577e52 100644 --- a/src/eynollah/image_enhancer.py +++ b/src/eynollah/image_enhancer.py @@ -59,7 +59,7 @@ class Enhancer: self.model_dir_of_binarization = dir_models + "/eynollah-binarization_20210425" self.model_dir_of_enhancement = dir_models + "/eynollah-enhancement_20210425" self.model_dir_of_col_classifier = dir_models + "/eynollah-column-classifier_20210425" - self.model_page_dir = dir_models + "/eynollah-page-extraction_20210425" + self.model_page_dir = dir_models + "/model_eynollah_page_extraction_20250915" try: for device in tf.config.list_physical_devices('GPU'): From ce13d8c5a329ebc6b6a32464a029801456320548 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 24 Sep 2025 01:22:07 +0200 Subject: [PATCH 21/57] get textlines inside textregion sorted --- src/eynollah/eynollah.py | 44 +++++++++++++++++++++++++++++++++++++++- 1 file changed, 43 insertions(+), 1 deletion(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 27277ee..93d1c8d 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -1753,7 +1753,45 @@ class Eynollah: prediction_regions = resize_image(prediction_regions, img_height_h, img_width_h) self.logger.debug("exit extract_text_regions") return prediction_regions, prediction_regions2 + + def get_textlines_of_a_textregion_sorted(self, textlines_textregion, cx_textline, cy_textline): + N = len(cy_textline) + if N==0: + return [] + + diff_matrix = np.abs(np.subtract.outer(cy_textline, cy_textline)) + + non_zero_diffs = diff_matrix[diff_matrix > 0] + if len(non_zero_diffs) == 0: + mean_y_diff = 0 + else: + mean_y_diff = np.mean(non_zero_diffs) + + row_threshold = mean_y_diff / 2 if mean_y_diff > 0 else 10 + indices_sorted_by_y = sorted(range(N), key=lambda i: cy_textline[i]) + + rows = [] + current_row = [indices_sorted_by_y[0]] + for i in range(1, N): + current_idx = indices_sorted_by_y[i] + prev_idx = current_row[0] + if abs(cy_textline[current_idx] - cy_textline[prev_idx]) <= row_threshold: + current_row.append(current_idx) + else: + rows.append(current_row) + current_row = [current_idx] + rows.append(current_row) + + sorted_textlines = [] + for row in rows: + row_sorted = sorted(row, key=lambda i: cx_textline[i]) + for idx in row_sorted: + sorted_textlines.append(textlines_textregion[idx]) + + return sorted_textlines + + def get_slopes_and_deskew_new_light2(self, contours, contours_par, textline_mask_tot, image_page_rotated, boxes, slope_deskew): polygons_of_textlines = return_contours_of_interested_region(textline_mask_tot,1,0.00001) @@ -1773,8 +1811,12 @@ class Eynollah: results = np.array(results) indexes_in = args_textlines[results==1] textlines_ins = [polygons_of_textlines[ind] for ind in indexes_in] + cx_textline_in = [cx_main_tot[ind] for ind in indexes_in] + cy_textline_in = [cy_main_tot[ind] for ind in indexes_in] - all_found_textline_polygons.append(textlines_ins[::-1]) + textlines_ins = self.get_textlines_of_a_textregion_sorted(textlines_ins, cx_textline_in, cy_textline_in) + + all_found_textline_polygons.append(textlines_ins)#[::-1]) slopes.append(slope_deskew) _, crop_coor = crop_image_inside_box(boxes[index],image_page_rotated) From 6904a981828d70024ce5a97ca2823ea22ac581ad Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 24 Sep 2025 01:25:57 +0200 Subject: [PATCH 22/57] get textlines inside textregion sorted debugging --- src/eynollah/eynollah.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 93d1c8d..9acae80 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -1789,7 +1789,7 @@ class Eynollah: for idx in row_sorted: sorted_textlines.append(textlines_textregion[idx]) - return sorted_textlines + return sorted_textlines def get_slopes_and_deskew_new_light2(self, contours, contours_par, textline_mask_tot, image_page_rotated, boxes, slope_deskew): From 6d8641a518ae9aa1934a95094413ff65c542b986 Mon Sep 17 00:00:00 2001 From: b-vr103 Date: Wed, 24 Sep 2025 03:43:36 +0200 Subject: [PATCH 23/57] get textlines sorted in textregion - verticals --- src/eynollah/eynollah.py | 74 +++++++++++++++++++++++++++------------- 1 file changed, 51 insertions(+), 23 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 9acae80..bbe80fe 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -1759,35 +1759,63 @@ class Eynollah: if N==0: return [] - diff_matrix = np.abs(np.subtract.outer(cy_textline, cy_textline)) + diff_cy = np.abs( np.diff(sorted(cy_textline)) ) + diff_cx = np.abs(np.diff(sorted(cx_textline)) ) + - non_zero_diffs = diff_matrix[diff_matrix > 0] - if len(non_zero_diffs) == 0: - mean_y_diff = 0 + if len(diff_cy)>0: + mean_y_diff = np.mean(diff_cy) + mean_x_diff = np.mean(diff_cx) else: - mean_y_diff = np.mean(non_zero_diffs) + mean_y_diff = 0 + mean_x_diff = 0 - row_threshold = mean_y_diff / 2 if mean_y_diff > 0 else 10 - indices_sorted_by_y = sorted(range(N), key=lambda i: cy_textline[i]) + if np.int(mean_y_diff) >= np.int(mean_x_diff): + row_threshold = mean_y_diff / 2 if mean_y_diff > 0 else 10 + + indices_sorted_by_y = sorted(range(N), key=lambda i: cy_textline[i]) - rows = [] - current_row = [indices_sorted_by_y[0]] - for i in range(1, N): - current_idx = indices_sorted_by_y[i] - prev_idx = current_row[0] - if abs(cy_textline[current_idx] - cy_textline[prev_idx]) <= row_threshold: - current_row.append(current_idx) - else: - rows.append(current_row) - current_row = [current_idx] - rows.append(current_row) + rows = [] + current_row = [indices_sorted_by_y[0]] + for i in range(1, N): + current_idx = indices_sorted_by_y[i] + prev_idx = current_row[0] + if abs(cy_textline[current_idx] - cy_textline[prev_idx]) <= row_threshold: + current_row.append(current_idx) + else: + rows.append(current_row) + current_row = [current_idx] + rows.append(current_row) - sorted_textlines = [] - for row in rows: - row_sorted = sorted(row, key=lambda i: cx_textline[i]) - for idx in row_sorted: - sorted_textlines.append(textlines_textregion[idx]) + sorted_textlines = [] + for row in rows: + row_sorted = sorted(row, key=lambda i: cx_textline[i]) + for idx in row_sorted: + sorted_textlines.append(textlines_textregion[idx]) + + else: + row_threshold = mean_x_diff / 2 if mean_x_diff > 0 else 10 + indices_sorted_by_x = sorted(range(N), key=lambda i: cx_textline[i]) + + rows = [] + current_row = [indices_sorted_by_x[0]] + + for i in range(1, N): + current_idy = indices_sorted_by_x[i] + prev_idy = current_row[0] + if abs(cx_textline[current_idy] - cx_textline[prev_idy] ) <= row_threshold: + current_row.append(current_idy) + else: + rows.append(current_row) + current_row = [current_idy] + rows.append(current_row) + + sorted_textlines = [] + for row in rows: + row_sorted = sorted(row , key=lambda i: cy_textline[i]) + for idy in row_sorted: + sorted_textlines.append(textlines_textregion[idy]) return sorted_textlines From 80d50d4bf6e7c1dfc211bc802728137ffd9f2ee6 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 24 Sep 2025 16:36:00 +0200 Subject: [PATCH 24/57] get textlines sorted in textregion - verticals --- src/eynollah/eynollah.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index bbe80fe..6b5b74e 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -1772,7 +1772,7 @@ class Eynollah: if np.int(mean_y_diff) >= np.int(mean_x_diff): - row_threshold = mean_y_diff / 2 if mean_y_diff > 0 else 10 + row_threshold = mean_y_diff / 1.5 if mean_y_diff > 0 else 10 indices_sorted_by_y = sorted(range(N), key=lambda i: cy_textline[i]) @@ -1795,7 +1795,7 @@ class Eynollah: sorted_textlines.append(textlines_textregion[idx]) else: - row_threshold = mean_x_diff / 2 if mean_x_diff > 0 else 10 + row_threshold = mean_x_diff / 1.5 if mean_x_diff > 0 else 10 indices_sorted_by_x = sorted(range(N), key=lambda i: cx_textline[i]) rows = [] @@ -4693,7 +4693,12 @@ class Eynollah: all_found_textline_polygons = filter_contours_area_of_image( textline_mask_tot_ea, cnt_clean_rot_raw, hir_on_cnt_clean_rot, max_area=1, min_area=0.00001) - all_found_textline_polygons = all_found_textline_polygons[::-1] + M_main_tot = [cv2.moments(all_found_textline_polygons[j]) + for j in range(len(all_found_textline_polygons))] + cx_main_tot = [(M_main_tot[j]["m10"] / (M_main_tot[j]["m00"] + 1e-32)) for j in range(len(M_main_tot))] + cy_main_tot = [(M_main_tot[j]["m01"] / (M_main_tot[j]["m00"] + 1e-32)) for j in range(len(M_main_tot))] + + all_found_textline_polygons = self.get_textlines_of_a_textregion_sorted(all_found_textline_polygons, cx_main_tot, cy_main_tot)#all_found_textline_polygons[::-1] all_found_textline_polygons=[ all_found_textline_polygons ] From 960b11f51f98518feaa5b1989a71bc368e6c9fa4 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 22:58:57 +0200 Subject: [PATCH 25/57] machine-based-reading-order CLI: no foreign logger, add --log-level --- src/eynollah/cli.py | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index 1170465..420373a 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -37,14 +37,22 @@ def main(): type=click.Path(exists=True, file_okay=False), required=True, ) +@click.option( + "--log_level", + "-l", + type=click.Choice(['OFF', 'DEBUG', 'INFO', 'WARN', 'ERROR']), + help="Override log level globally to this", +) + +def machine_based_reading_order(dir_xml, xml_file, dir_out, model, log_level): + orderer = machine_based_reading_order_on_layout(model, dir_out=dir_out) + if log_level: + orderer.logger.setLevel(getLevelName(log_level)) -def machine_based_reading_order(dir_xml, xml_file, dir_out, model): - raedingorder_object = machine_based_reading_order_on_layout(model, dir_out=dir_out, logger=getLogger('enhancement')) - if dir_xml: - raedingorder_object.run(dir_in=dir_xml) + orderer.run(dir_in=dir_xml) else: - raedingorder_object.run(xml_filename=xml_file) + orderer.run(xml_filename=xml_file) @main.command() From 8a1e5a895057aac0d0dd878e58c0ce3e70c891fe Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 23:03:11 +0200 Subject: [PATCH 26/57] enhancement / layout CLI: do not override logger name --- src/eynollah/cli.py | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index 420373a..ab157d1 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -137,21 +137,20 @@ def binarization(patches, model_dir, input_image, dir_in, output): def enhancement(image, out, overwrite, dir_in, model, num_col_upper, num_col_lower, save_org_scale, log_level): initLogging() - if log_level: - getLogger('enhancement').setLevel(getLevelName(log_level)) assert image or dir_in, "Either a single image -i or a dir_in -di is required" - enhancer_object = Enhancer( + enhancer = Enhancer( model, - logger=getLogger('enhancement'), dir_out=out, num_col_upper=num_col_upper, num_col_lower=num_col_lower, save_org_scale=save_org_scale, ) + if log_level: + enhancer.logger.setLevel(getLevelName(log_level)) if dir_in: - enhancer_object.run(dir_in=dir_in, overwrite=overwrite) + enhancer.run(dir_in=dir_in, overwrite=overwrite) else: - enhancer_object.run(image_filename=image, overwrite=overwrite) + enhancer.run(image_filename=image, overwrite=overwrite) @main.command() @click.option( @@ -368,8 +367,6 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ getLogger('eynollah').setLevel(logging.INFO) else: initLogging() - if log_level: - getLogger('eynollah').setLevel(getLevelName(log_level)) assert enable_plotting or not save_layout, "Plotting with -sl also requires -ep" assert enable_plotting or not save_deskewed, "Plotting with -sd also requires -ep" assert enable_plotting or not save_all, "Plotting with -sa also requires -ep" @@ -420,6 +417,8 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ threshold_art_class_textline=threshold_art_class_textline, threshold_art_class_layout=threshold_art_class_layout, ) + if log_level: + eynollah.logger.setLevel(getLevelName(log_level)) if dir_in: eynollah.run(dir_in=dir_in, overwrite=overwrite) else: @@ -529,8 +528,6 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ def ocr(image, overwrite, dir_in, dir_in_bin, out, dir_xmls, dir_out_image_text, model, model_name, tr_ocr, export_textline_images_and_text, do_not_mask_with_textline_contour, prediction_with_both_of_rgb_and_bin, batch_size, dataset_abbrevation, min_conf_value_of_textline_text, log_level): initLogging() - if log_level: - getLogger('eynollah').setLevel(getLevelName(log_level)) assert not model or not model_name, "model directory -m can not be set alongside specific model name --model_name" assert not export_textline_images_and_text or not tr_ocr, "Exporting textline and text -etit can not be set alongside transformer ocr -tr_ocr" @@ -557,6 +554,8 @@ def ocr(image, overwrite, dir_in, dir_in_bin, out, dir_xmls, dir_out_image_text, pref_of_dataset=dataset_abbrevation, min_conf_value_of_textline_text=min_conf_value_of_textline_text, ) + if log_level: + eynollah_ocr.logger.setLevel(getLevelName(log_level)) eynollah_ocr.run(overwrite=overwrite) if __name__ == "__main__": From 93f7588bfa3787679fd5bb843176ea453c303f44 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 23:08:50 +0200 Subject: [PATCH 27/57] binarizer CLI: add --log-level --- src/eynollah/cli.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index ab157d1..19beab5 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -71,10 +71,18 @@ def machine_based_reading_order(dir_xml, xml_file, dir_out, model, log_level): help="output image (if using -i) or output image directory (if using -di)", type=click.Path(file_okay=True, dir_okay=True), ) -def binarization(patches, model_dir, input_image, dir_in, output): +@click.option( + "--log_level", + "-l", + type=click.Choice(['OFF', 'DEBUG', 'INFO', 'WARN', 'ERROR']), + help="Override log level globally to this", +) +def binarization(patches, model_dir, input_image, dir_in, output, log_level): assert (dir_in is None) != (input_image is None), "Specify either -di and or -i not both" - SbbBinarizer(model_dir).run(image_path=input_image, use_patches=patches, output=output, dir_in=dir_in) - + binarizer = SbbBinarizer(model_dir) + if log_level: + binarizer.log.setLevel(getLevelName(log_level)) + binarizer.run(image_path=input_image, use_patches=patches, output=output, dir_in=dir_in) @main.command() From 96a0d22496eca2497abac64dcb931d9d45d3394c Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Wed, 24 Sep 2025 23:52:35 +0200 Subject: [PATCH 28/57] mbreorder CLI: change options to mimic other commands --- src/eynollah/cli.py | 49 +++++++++++++++++++++++++-------------------- 1 file changed, 27 insertions(+), 22 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index 19beab5..71958df 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -13,20 +13,20 @@ def main(): @main.command() @click.option( - "--dir_xml", - "-dx", - help="directory of page-xml files", + "--dir_in", + "-di", + help="directory of PAGE-XML input files", type=click.Path(exists=True, file_okay=False), ) @click.option( - "--xml_file", - "-xml", - help="xml filename", + "--input", + "-i", + help="PAGE-XML input filename", type=click.Path(exists=True, dir_okay=False), ) @click.option( - "--dir_out", - "-do", + "--out", + "-o", help="directory for output images", type=click.Path(exists=True, file_okay=False), ) @@ -44,21 +44,26 @@ def main(): help="Override log level globally to this", ) -def machine_based_reading_order(dir_xml, xml_file, dir_out, model, log_level): - orderer = machine_based_reading_order_on_layout(model, dir_out=dir_out) +def machine_based_reading_order(dir_in, input, out, model, log_level): + orderer = machine_based_reading_order_on_layout(model, dir_out=out) if log_level: orderer.logger.setLevel(getLevelName(log_level)) - if dir_xml: - orderer.run(dir_in=dir_xml) + if dir_in: + orderer.run(dir_in=dir_in) else: - orderer.run(xml_filename=xml_file) + orderer.run(xml_filename=input) @main.command() @click.option('--patches/--no-patches', default=True, help='by enabling this parameter you let the model to see the image in patches.') @click.option('--model_dir', '-m', type=click.Path(exists=True, file_okay=False), required=True, help='directory containing models for prediction') -@click.option("--input-image", "-i", help="input image", type=click.Path(exists=True, dir_okay=False)) +@click.option( + "--input-image", "--image", + "-i", + help="input image filename", + type=click.Path(exists=True, dir_okay=False) +) @click.option( "--dir_in", "-di", @@ -89,14 +94,14 @@ def binarization(patches, model_dir, input_image, dir_in, output, log_level): @click.option( "--image", "-i", - help="image filename", + help="input image filename", type=click.Path(exists=True, dir_okay=False), ) @click.option( "--out", "-o", - help="directory to write output xml data", + help="directory for output PAGE-XML files", type=click.Path(exists=True, file_okay=False), required=True, ) @@ -109,7 +114,7 @@ def binarization(patches, model_dir, input_image, dir_in, output, log_level): @click.option( "--dir_in", "-di", - help="directory of images", + help="directory of input images", type=click.Path(exists=True, file_okay=False), ) @click.option( @@ -164,14 +169,14 @@ def enhancement(image, out, overwrite, dir_in, model, num_col_upper, num_col_low @click.option( "--image", "-i", - help="image filename", + help="input image filename", type=click.Path(exists=True, dir_okay=False), ) @click.option( "--out", "-o", - help="directory to write output xml data", + help="directory for output PAGE-XML files", type=click.Path(exists=True, file_okay=False), required=True, ) @@ -184,7 +189,7 @@ def enhancement(image, out, overwrite, dir_in, model, num_col_upper, num_col_low @click.option( "--dir_in", "-di", - help="directory of images", + help="directory of input images", type=click.Path(exists=True, file_okay=False), ) @click.option( @@ -437,7 +442,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ @click.option( "--image", "-i", - help="image filename", + help="input image filename", type=click.Path(exists=True, dir_okay=False), ) @click.option( @@ -449,7 +454,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ @click.option( "--dir_in", "-di", - help="directory of images", + help="directory of input images", type=click.Path(exists=True, file_okay=False), ) @click.option( From d6cdb69acbd1770c080ede18f52ed05c608a3693 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 00:11:23 +0200 Subject: [PATCH 29/57] binarize/enhance/layout/ocr ls_imgs: use the same file name suffix filter for dir-in mode --- src/eynollah/eynollah.py | 11 +++++------ src/eynollah/image_enhancer.py | 7 ++++--- src/eynollah/sbb_binarize.py | 3 ++- src/eynollah/utils/__init__.py | 8 ++++++++ 4 files changed, 19 insertions(+), 10 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 27277ee..9071f7a 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -107,6 +107,7 @@ from .utils.drop_capitals import ( from .utils.marginals import get_marginals from .utils.resize import resize_image from .utils import ( + is_image_filename, boosting_headers_by_longshot_region_segmentation, crop_image_inside_box, find_num_col, @@ -4547,14 +4548,13 @@ class Eynollah: self.logger.info("Enabled modes: " + ", ".join(enabled_modes)) if dir_in: - self.ls_imgs = os.listdir(dir_in) - self.ls_imgs = [ind_img for ind_img in self.ls_imgs if ind_img.endswith('.jpg') or ind_img.endswith('.jpeg') or ind_img.endswith('.png') or ind_img.endswith('.tif') or ind_img.endswith('.tiff') or ind_img.endswith('.JPG') or ind_img.endswith('.JPEG') or ind_img.endswith('.TIF') or ind_img.endswith('.TIFF') or ind_img.endswith('.PNG')] + ls_imgs = list(filter(is_image_filename, os.listdir(self.dir_in))) elif image_filename: - self.ls_imgs = [image_filename] + ls_imgs = [image_filename] else: raise ValueError("run requires either a single image filename or a directory") - for img_filename in self.ls_imgs: + for img_filename in ls_imgs: self.logger.info(img_filename) t0 = time.time() @@ -5394,8 +5394,7 @@ class Eynollah_ocr: def run(self, overwrite : bool = False): if self.dir_in: - ls_imgs = os.listdir(self.dir_in) - ls_imgs = [ind_img for ind_img in ls_imgs if ind_img.endswith('.jpg') or ind_img.endswith('.jpeg') or ind_img.endswith('.png') or ind_img.endswith('.tif') or ind_img.endswith('.tiff') or ind_img.endswith('.JPG') or ind_img.endswith('.JPEG') or ind_img.endswith('.TIF') or ind_img.endswith('.TIFF') or ind_img.endswith('.PNG')] + ls_imgs = list(filter(is_image_filename, os.listdir(self.dir_in))) else: ls_imgs = [self.image_filename] diff --git a/src/eynollah/image_enhancer.py b/src/eynollah/image_enhancer.py index f577e52..5a06d59 100644 --- a/src/eynollah/image_enhancer.py +++ b/src/eynollah/image_enhancer.py @@ -21,6 +21,7 @@ from tensorflow.keras.models import load_model from .utils.resize import resize_image from .utils.pil_cv2 import pil2cv from .utils import ( + is_image_filename, crop_image_inside_box ) @@ -701,13 +702,13 @@ class Enhancer: t0_tot = time.time() if dir_in: - self.ls_imgs = os.listdir(dir_in) + ls_imgs = list(filter(is_image_filename, os.listdir(dir_in))) elif image_filename: - self.ls_imgs = [image_filename] + ls_imgs = [image_filename] else: raise ValueError("run requires either a single image filename or a directory") - for img_filename in self.ls_imgs: + for img_filename in ls_imgs: self.logger.info(img_filename) t0 = time.time() diff --git a/src/eynollah/sbb_binarize.py b/src/eynollah/sbb_binarize.py index 2d5035f..3716987 100644 --- a/src/eynollah/sbb_binarize.py +++ b/src/eynollah/sbb_binarize.py @@ -16,6 +16,7 @@ import tensorflow as tf from tensorflow.keras.models import load_model from tensorflow.python.keras import backend as tensorflow_backend +from .utils import is_image_filename def resize_image(img_in, input_height, input_width): return cv2.resize(img_in, (input_width, input_height), interpolation=cv2.INTER_NEAREST) @@ -347,7 +348,7 @@ class SbbBinarizer: cv2.imwrite(output, img_last) return img_last else: - ls_imgs = os.listdir(dir_in) + ls_imgs = list(filter(is_image_filename, os.listdir(dir_in))) for image_name in ls_imgs: image_stem = image_name.split('.')[0] print(image_name,'image_name') diff --git a/src/eynollah/utils/__init__.py b/src/eynollah/utils/__init__.py index ca86047..c154fe4 100644 --- a/src/eynollah/utils/__init__.py +++ b/src/eynollah/utils/__init__.py @@ -2194,3 +2194,11 @@ def return_boxes_of_images_by_order_of_reading_new( return boxes, peaks_neg_tot_tables_new else: return boxes, peaks_neg_tot_tables + +def is_image_filename(fname: str) -> bool: + return fname.lower().endswith(('.jpg', + '.jpeg', + '.png', + '.tif', + '.tiff', + )) From b094a6b77feb4e86f1ae07c1a5c96e5e88068523 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 00:51:45 +0200 Subject: [PATCH 30/57] mbreorder: avoid spaces in logger name --- src/eynollah/mb_ro_on_layout.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/eynollah/mb_ro_on_layout.py b/src/eynollah/mb_ro_on_layout.py index c6c02cf..70f1402 100644 --- a/src/eynollah/mb_ro_on_layout.py +++ b/src/eynollah/mb_ro_on_layout.py @@ -39,7 +39,7 @@ class machine_based_reading_order_on_layout: ): self.dir_out = dir_out - self.logger = logger if logger else getLogger('mbro on layout') + self.logger = logger if logger else getLogger('mbreorder') # for parallelization of CPU-intensive tasks: self.executor = ProcessPoolExecutor(max_workers=cpu_count(), timeout=1200) atexit.register(self.executor.shutdown) From 9967510327d33a49aa619ceba7a36f414fdc09e7 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 00:52:16 +0200 Subject: [PATCH 31/57] mbreorder: filter by .xml suffix in dir-in mode --- src/eynollah/mb_ro_on_layout.py | 7 ++++--- src/eynollah/utils/__init__.py | 3 +++ 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/src/eynollah/mb_ro_on_layout.py b/src/eynollah/mb_ro_on_layout.py index 70f1402..6d72614 100644 --- a/src/eynollah/mb_ro_on_layout.py +++ b/src/eynollah/mb_ro_on_layout.py @@ -25,6 +25,7 @@ from .utils.contour import ( return_contours_of_image, return_parent_contours, ) +from .utils import is_xml_filename DPI_THRESHOLD = 298 KERNEL = np.ones((5, 5), np.uint8) @@ -751,13 +752,13 @@ class machine_based_reading_order_on_layout: t0_tot = time.time() if dir_in: - self.ls_xmls = os.listdir(dir_in) + ls_xmls = list(filter(is_xml_filename, os.listdir(dir_in))) elif xml_filename: - self.ls_xmls = [xml_filename] + ls_xmls = [xml_filename] else: raise ValueError("run requires either a single image filename or a directory") - for xml_filename in self.ls_xmls: + for xml_filename in ls_xmls: self.logger.info(xml_filename) t0 = time.time() diff --git a/src/eynollah/utils/__init__.py b/src/eynollah/utils/__init__.py index c154fe4..6eeabd0 100644 --- a/src/eynollah/utils/__init__.py +++ b/src/eynollah/utils/__init__.py @@ -2202,3 +2202,6 @@ def is_image_filename(fname: str) -> bool: '.tif', '.tiff', )) + +def is_xml_filename(fname: str) -> bool: + return fname.lower().endswith('.xml') From f07df080f08d93564eafa96c9d6299f181857fbe Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 01:13:48 +0200 Subject: [PATCH 32/57] add tests for enhancement and mbreorder --- .../euler_rechenkunst01_1738_0025.xml | 1626 +++++++++++++ .../resources/kant_aufklaerung_1784_0020.xml | 2129 +++++++++++++++++ tests/test_run.py | 129 +- 3 files changed, 3875 insertions(+), 9 deletions(-) create mode 100644 tests/resources/euler_rechenkunst01_1738_0025.xml create mode 100644 tests/resources/kant_aufklaerung_1784_0020.xml diff --git a/tests/resources/euler_rechenkunst01_1738_0025.xml b/tests/resources/euler_rechenkunst01_1738_0025.xml new file mode 100644 index 0000000..1a92f73 --- /dev/null +++ b/tests/resources/euler_rechenkunst01_1738_0025.xml @@ -0,0 +1,1626 @@ + + + OCR-D + 2016-09-29T14:32:09 + 2018-04-25T08:56:33 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 9 + + + 9 + + + 9 + + + + + + + + + der + + + + + rechten + + + + + gegen + + + + + der + + + + + lincken + + + + + Hand + + + + + bedeutet + + + der rechten gegen der lincken Hand bedeutet + + + + + + + + wie + + + + + folget: + + + wie folget: + + + der rechten gegen der lincken Hand bedeutet +wie folget: + + + + + + + + + I. + + + I. + + + I. + + + + + + + + + 0 + + + + + - 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fuͤnfzig tauĹżend +6 - Ĺżechzig tauĹżend +7 - Ĺżiebenzig tauĹżend +8 - achtzig tauĹżend +9 - neunzig tauĹżend + + + + + + + + A + + + + + 5 + + + A 5 + + A 5 + + + + + + + + + Anf + + + Anf + + Anf + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/tests/resources/kant_aufklaerung_1784_0020.xml b/tests/resources/kant_aufklaerung_1784_0020.xml new file mode 100644 index 0000000..47484cd --- /dev/null +++ b/tests/resources/kant_aufklaerung_1784_0020.xml @@ -0,0 +1,2129 @@ + + + OCR-D + 2016-09-20T11:09:27.431+02:00 + 2018-04-24T17:44:49.605+01:00 + + + + + + + + + + + + + + + + + + + + + + + ( + + + + + + + 484 + + + + + + + ) + + + + + ( 484 ) + + + + ( 484 ) + + + + + + + + + + + gewiegelt + + + + + + + worden + + + + + + + ; + + + + + + + Ĺżo + + + + + + + Ĺżchaͤdlich + + + + + + + iĹżt + + + + + + + es + + + + + + + Vorurtheile + + + + + + + zu + + + + + gewiegelt worden; Ĺżo Ĺżchaͤdlich iĹżt es Vorurtheile zu + + + + + + + + + + pflanzen + + + + + + + , + + + + + + + weil + + + + + + + Ĺżie + + + + + + + Ĺżich + + + + + + + zuletzt + + + + + + + an + + + + + + + denen + + + + + + + ĹżelbĹżt + + + + + + + raͤchen + + + + + + + , + + + + + pflanzen, weil Ĺżie Ĺżich zuletzt an denen ĹżelbĹżt raͤchen, + + + + + + + + + + die + + + + + + + , + + + + + + + oder + + + + + + + deren + + + + + + + Vorgaͤnger + + + + + + + , + + + + + + + ihre + + + + + + + Urheber + + + + + + + geweĹżen + + + + + die, oder deren Vorgaͤnger, ihre Urheber geweĹżen + + + + + + + + + + Ĺżind + + + + + + + . + + + + + + + Daher + + + + + + + kann + + + + + + + ein + + + + + + + Publikum + + + + + + + nur + + + + + + + langĹżam + + + + + + + zur + + + + + Ĺżind. Daher kann ein Publikum nur langĹżam zur + + + + + + + + + + Aufklaͤrung + + + + + + + gelangen + + + + + + + . + + + + + + + Durch + + + + + + + eine + + + + + + + Revolution + + + + + + + wird + + + + + Aufklaͤrung gelangen. Durch eine Revolution wird + + + + + + + + + + vielleicht + + + + + + + wohl + + + + + + + ein + + + + + + + Abfall + + + + + + + von + + + + + + + perĹżoͤnlichem + + + + + + + Despo- + + + + + vielleicht wohl ein Abfall von perĹżoͤnlichem Despo- + + + + + + + + + + tism + + + + + + + und + + + + + + + gewinnĹżuͤchtiger + + + + + + + oder + + + + + + + herrĹżchſüchtiger + + + + + + + Be + + + + + + + - + + + + + tism und gewinnĹżuͤchtiger oder herrĹżchſüchtiger Be- + + + + + + + + + + druͤkkung + + + + + + + , + + + + + + + aber + + + + + + + niemals + + + + + + + wahre + + + + + + + Reform + + + + + + + der + + + + + + + Den + + + + + + + - + + + + + druͤkkung, aber niemals wahre Reform der Den- + + + + + + + + + + kungsart + + + + + + + zu + + + + + + + Stande + + + + + + + kommen + + + + + + + ; + + + + + + + Ĺżondern + + + + + + + neue + + + + + + + Vor + + + + + + + - + + + + + kungsart zu Stande kommen; Ĺżondern neue Vor- + + + + + + + + + + urtheile + + + + + + + werden + + + + + + + , + + + + + + + eben + + + + + + + Ĺżowohl + + + + + + + als + + + + + + + die + + + + + + + alten + + + + + + + , + + + + + + + zum + + + + + urtheile werden, eben Ĺżowohl als die alten, zum + + + + + + + + + + Leitbande + + + + + + + des + + + + + + + gedankenloĹżen + + + + + + + groĂźen + + + + + + + Haufens + + + + + Leitbande des gedankenloĹżen groĂźen Haufens + + + + + + + + + + dienen + + + + + + + . + + + + + dienen. + + + + gewiegelt worden; Ĺżo Ĺżchaͤdlich iĹżt es Vorurtheile zu +pflanzen, weil Ĺżie Ĺżich zuletzt an denen ĹżelbĹżt raͤchen, +die, oder deren Vorgaͤnger, ihre Urheber geweĹżen +Ĺżind. Daher kann ein Publikum nur langĹżam zur +Aufklaͤrung gelangen. Durch eine Revolution wird +vielleicht wohl ein Abfall von perĹżoͤnlichem Despo- +tism und gewinnĹżuͤchtiger oder herrĹżchſüchtiger Be- +druͤkkung, aber niemals wahre Reform der Den- +kungsart zu Stande kommen; Ĺżondern neue Vor- +urtheile werden, eben Ĺżowohl als die alten, zum +Leitbande des gedankenloĹżen groĂźen Haufens +dienen. + + + + + + + + + + + Zu + + + + + + + dieĹżer + + + + + + + Aufklaͤrung + + + + + + + aber + + + + + + + wird + + + + + + + nichts + + + + + + + erfordert + + + + + Zu dieĹżer Aufklaͤrung aber wird nichts erfordert + + + + + + + + + + als + + + + + + + Freiheit + + + + + + + ; + + + + + + + und + + + + + + + zwar + + + + + + + die + + + + + + + unĹżchaͤdlichĹżte + + + + + + + unter + + + + + als Freiheit; und zwar die unĹżchaͤdlichĹżte unter + + + + + + + + + allem + + + + + + + , + + + + + + + was + + + + + + + nur + + + + + + + Freiheit + + + + + + + heiĂźen + + + + + + + mag + + + + + + + , + + + + + + + naͤmlich + + + + + + + die + + + + + + + : + + + + + allem, was nur Freiheit heiĂźen mag, naͤmlich die: + + + + + + + + + + von + + + + + + + Ĺżeiner + + + + + + + Vernunft + + + + + + + in + + + + + + + allen + + + + + + + Stuͤkken + + + + + + + oͤffentlichen + + + + + von Ĺżeiner Vernunft in allen Stuͤkken oͤffentlichen + + + + + + + + + + Gebrauch + + + + + + + zu + + + + + + + machen + + + + + + + . + + + + + + + Nun + + + + + + + hoͤre + + + + + + + ich + + + + + + + aber + + + + + + + von + + + + + + + al + + + + + + + - + + + + + Gebrauch zu machen. Nun hoͤre ich aber von al- + + + + + + + + + + len + + + + + + + Seiten + + + + + + + rufen + + + + + + + : + + + + + + + raͤſonnirt + + + + + + + nicht + + + + + + + ! + + + + + + + Der + + + + + + + Offi + + + + + + + - + + + + + len Seiten rufen: raͤſonnirt nicht! Der Offi- + + + + + + + + + + zier + + + + + + + Ĺżagt + + + + + + + : + + + + + + + raͤſonnirt + + + + + + + nicht + + + + + + + , + + + + + + + Ĺżondern + + + + + + + exercirt + + + + + + + ! + + + + + + + Der + + + + + zier Ĺżagt: raͤſonnirt nicht, Ĺżondern exercirt! Der + + + + + + + + + + Finanzrath + + + + + + + : + + + + + + + raͤſonnirt + + + + + + + nicht + + + + + + + , + + + + + + + Ĺżondern + + + + + + + bezahlt + + + + + + + ! + + + + + + + Der + + + + + Finanzrath: raͤſonnirt nicht, Ĺżondern bezahlt! Der + + + + + + + + + + GeiĹżtliche + + + + + + + : + + + + + + + raͤſonnirt + + + + + + + nicht + + + + + + + , + + + + + + + Ĺżondern + + + + + + + glaubt + + + + + + + ! + + + + + + + ( + + + + + + + Nur + + + + + GeiĹżtliche: raͤſonnirt nicht, Ĺżondern glaubt! (Nur + + + + + + + + + + ein + + + + + + + einziger + + + + + + + Herr + + + + + + + in + + + + + + + der + + + + + + + Welt + + + + + + + Ĺżagt + + + + + + + : + + + + + + + raͤſonnirt + + + + + + + , + + + + + + + Ĺżo + + + + + ein einziger Herr in der Welt Ĺżagt: raͤſonnirt, Ĺżo + + + + + + + + + + viel + + + + + + + ihr + + + + + + + wollt + + + + + + + , + + + + + + + und + + + + + + + woruͤber + + + + + + + ihr + + + + + + + wollt + + + + + + + ; + + + + + + + aber + + + + + + + ge + + + + + + + - + + + + + viel ihr wollt, und woruͤber ihr wollt; aber ge- + + + + + + + + + + horcht + + + + + + + ! + + + + + + + ) + + + + + + + Hier + + + + + + + iĹżt + + + + + + + uͤberall + + + + + + + EinĹżchraͤnkung + + + + + + + der + + + + + + + Frei + + + + + + + - + + + + + horcht!) Hier iĹżt uͤberall EinĹżchraͤnkung der Frei- + + + + + + + + + + heit + + + + + + + . + + + + + + + Welche + + + + + + + EinĹżchraͤnkung + + + + + + + aber + + + + + + + iĹżt + + + + + + + der + + + + + + + Aufklaͤ + + + + + + + - + + + + + heit. Welche EinĹżchraͤnkung aber iĹżt der Aufklaͤ- + + + + + + + + + + rung + + + + + + + hinderlich + + + + + + + ? + + + + + + + welche + + + + + + + nicht + + + + + + + , + + + + + + + Ĺżondern + + + + + + + ihr + + + + + + + wohl + + + + + + + gar + + + + + rung hinderlich? welche nicht, Ĺżondern ihr wohl gar + + + + + + + + + + befoͤrderlich + + + + + + + ? + + + + + + + — + + + + + + + Ich + + + + + + + antworte + + + + + + + : + + + + + + + der + + + + + + + oͤffentliche + + + + + befoͤrderlich? — Ich antworte: der oͤffentliche + + + + + + + + + + Gebrauch + + + + + + + Ĺżeiner + + + + + + + Vernunft + + + + + + + muĂź + + + + + + + jederzeit + + + + + + + frei + + + + + + + Ĺżein + + + + + + + , + + + + + Gebrauch Ĺżeiner Vernunft muĂź jederzeit frei Ĺżein, + + + + + + + + + + und + + + + + + + der + + + + + + + allein + + + + + + + kann + + + + + + + Aufklaͤrung + + + + + + + unter + + + + + + + MenĹżchen + + + + + + + zu + + + + + und der allein kann Aufklaͤrung unter MenĹżchen zu + + + + + Zu dieĹżer Aufklaͤrung aber wird nichts erfordert +als Freiheit; und zwar die unĹżchaͤdlichĹżte unter +allem, was nur Freiheit heiĂźen mag, naͤmlich die: +von Ĺżeiner Vernunft in allen Stuͤkken oͤffentlichen +Gebrauch zu machen. Nun hoͤre ich aber von al- +len Seiten rufen: raͤſonnirt nicht! Der Offi- +zier Ĺżagt: raͤſonnirt nicht, Ĺżondern exercirt! Der +Finanzrath: raͤſonnirt nicht, Ĺżondern bezahlt! Der +GeiĹżtliche: raͤſonnirt nicht, Ĺżondern glaubt! (Nur +ein einziger Herr in der Welt Ĺżagt: raͤſonnirt, Ĺżo +viel ihr wollt, und woruͤber ihr wollt; aber ge- +horcht!) Hier iĹżt uͤberall EinĹżchraͤnkung der Frei- +heit. Welche EinĹżchraͤnkung aber iĹżt der Aufklaͤ- +rung hinderlich? welche nicht, Ĺżondern ihr wohl gar +befoͤrderlich? — Ich antworte: der oͤffentliche +Gebrauch Ĺżeiner Vernunft muĂź jederzeit frei Ĺżein, +und der allein kann Aufklaͤrung unter MenĹżchen zu + + + + + + + + + + + Stan + + + + + + + - + + + + + Stan- + + + + + Stan- + + + + + + + + + + \ No newline at end of file diff --git a/tests/test_run.py b/tests/test_run.py index b4e2dbd..370deef 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -2,7 +2,12 @@ from os import environ from pathlib import Path import logging from PIL import Image -from eynollah.cli import layout as layout_cli, binarization as binarization_cli +from eynollah.cli import ( + layout as layout_cli, + binarization as binarization_cli, + enhancement as enhancement_cli, + machine_based_reading_order as mbreorder_cli, +) from click.testing import CliRunner from ocrd_modelfactory import page_from_file from ocrd_models.constants import NAMESPACES as NS @@ -44,8 +49,7 @@ def test_run_eynollah_layout_filename(tmp_path, subtests, pytestconfig, caplog): options=options): with caplog.filtering(only_eynollah): result = runner.invoke(layout_cli, args + options, catch_exceptions=False) - print(result) - assert result.exit_code == 0 + assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert str(infile) in logmsgs assert outfile.exists() @@ -73,8 +77,7 @@ def test_run_eynollah_layout_directory(tmp_path, pytestconfig, caplog): runner = CliRunner() with caplog.filtering(only_eynollah): result = runner.invoke(layout_cli, args) - print(result) - assert result.exit_code == 0 + assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert len([logmsg for logmsg in logmsgs if logmsg.startswith('Job done in')]) == 2 assert any(logmsg for logmsg in logmsgs if logmsg.startswith('All jobs done in')) @@ -88,6 +91,8 @@ def test_run_eynollah_binarization_filename(tmp_path, subtests, pytestconfig, ca '-i', str(infile), '-o', str(outfile), ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) caplog.set_level(logging.INFO) def only_eynollah(logrec): return logrec.name == 'SbbBinarizer' @@ -100,8 +105,7 @@ def test_run_eynollah_binarization_filename(tmp_path, subtests, pytestconfig, ca options=options): with caplog.filtering(only_eynollah): result = runner.invoke(binarization_cli, args + options) - print(result) - assert result.exit_code == 0 + assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert any(True for logmsg in logmsgs if logmsg.startswith('Predicting')) assert outfile.exists() @@ -119,14 +123,121 @@ def test_run_eynollah_binarization_directory(tmp_path, subtests, pytestconfig, c '-di', str(indir), '-o', str(outdir), ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) caplog.set_level(logging.INFO) def only_eynollah(logrec): return logrec.name == 'SbbBinarizer' runner = CliRunner() with caplog.filtering(only_eynollah): result = runner.invoke(binarization_cli, args) - print(result) - assert result.exit_code == 0 + assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert len([logmsg for logmsg in logmsgs if logmsg.startswith('Predicting')]) == 2 assert len(list(outdir.iterdir())) == 2 + +def test_run_eynollah_enhancement_filename(tmp_path, subtests, pytestconfig, caplog): + infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.tif') + outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.png') + args = [ + '-m', EYNOLLAH_MODELS, + '-i', str(infile), + '-o', str(outfile.parent), + # subtests write to same location + '--overwrite', + ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) + caplog.set_level(logging.INFO) + def only_eynollah(logrec): + return logrec.name == 'enhancement' + runner = CliRunner() + for options in [ + [], # defaults + ["-sos"], + ]: + with subtests.test(#msg="test CLI", + options=options): + with caplog.filtering(only_eynollah): + result = runner.invoke(enhancement_cli, args + options) + assert result.exit_code == 0, result.stdout + logmsgs = [logrec.message for logrec in caplog.records] + assert any(True for logmsg in logmsgs if logmsg.startswith('Image was enhanced')), logmsgs + assert outfile.exists() + with Image.open(infile) as original_img: + original_size = original_img.size + with Image.open(outfile) as enhanced_img: + enhanced_size = enhanced_img.size + assert (original_size == enhanced_size) == ("-sos" in options) + +def test_run_eynollah_enhancement_directory(tmp_path, subtests, pytestconfig, caplog): + indir = testdir.joinpath('resources') + outdir = tmp_path + args = [ + '-m', EYNOLLAH_MODELS, + '-di', str(indir), + '-o', str(outdir), + ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) + caplog.set_level(logging.INFO) + def only_eynollah(logrec): + return logrec.name == 'enhancement' + runner = CliRunner() + with caplog.filtering(only_eynollah): + result = runner.invoke(enhancement_cli, args) + assert result.exit_code == 0, result.stdout + logmsgs = [logrec.message for logrec in caplog.records] + assert len([logmsg for logmsg in logmsgs if logmsg.startswith('Image was enhanced')]) == 2 + assert len(list(outdir.iterdir())) == 2 + +def test_run_eynollah_mbreorder_filename(tmp_path, subtests, pytestconfig, caplog): + infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.xml') + outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.xml') + args = [ + '-m', EYNOLLAH_MODELS, + '-i', str(infile), + '-o', str(outfile.parent), + ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) + caplog.set_level(logging.INFO) + def only_eynollah(logrec): + return logrec.name == 'mbreorder' + runner = CliRunner() + with caplog.filtering(only_eynollah): + result = runner.invoke(mbreorder_cli, args) + assert result.exit_code == 0, result.stdout + logmsgs = [logrec.message for logrec in caplog.records] + # FIXME: mbreorder has no logging! + #assert any(True for logmsg in logmsgs if logmsg.startswith('???')), logmsgs + assert outfile.exists() + #in_tree = page_from_file(str(infile)).etree + #in_order = in_tree.xpath("//page:OrderedGroup//@regionRef", namespaces=NS) + out_tree = page_from_file(str(outfile)).etree + out_order = out_tree.xpath("//page:OrderedGroup//@regionRef", namespaces=NS) + #assert len(out_order) >= 2, "result is inaccurate" + #assert in_order != out_order + assert out_order == ['r_1_1', 'r_2_1', 'r_2_2', 'r_2_3'] + +def test_run_eynollah_mbreorder_directory(tmp_path, subtests, pytestconfig, caplog): + indir = testdir.joinpath('resources') + outdir = tmp_path + args = [ + '-m', EYNOLLAH_MODELS, + '-di', str(indir), + '-o', str(outdir), + ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) + caplog.set_level(logging.INFO) + def only_eynollah(logrec): + return logrec.name == 'mbreorder' + runner = CliRunner() + with caplog.filtering(only_eynollah): + result = runner.invoke(mbreorder_cli, args) + assert result.exit_code == 0, result.stdout + logmsgs = [logrec.message for logrec in caplog.records] + # FIXME: mbreorder has no logging! + #assert len([logmsg for logmsg in logmsgs if logmsg.startswith('???')]) == 2 + assert len(list(outdir.iterdir())) == 2 From 369ef573f9efe520455fd0c3ba9eb64b37c2a819 Mon Sep 17 00:00:00 2001 From: b-vr103 Date: Thu, 25 Sep 2025 02:38:22 +0200 Subject: [PATCH 33/57] get textlines sorted in textregions - detection of vertical and horizontal regions improved --- src/eynollah/eynollah.py | 18 ++++++++++++++---- 1 file changed, 14 insertions(+), 4 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 6b5b74e..f5d7d8b 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -1754,7 +1754,7 @@ class Eynollah: self.logger.debug("exit extract_text_regions") return prediction_regions, prediction_regions2 - def get_textlines_of_a_textregion_sorted(self, textlines_textregion, cx_textline, cy_textline): + def get_textlines_of_a_textregion_sorted(self, textlines_textregion, cx_textline, cy_textline, w_h_textline): N = len(cy_textline) if N==0: return [] @@ -1766,12 +1766,17 @@ class Eynollah: if len(diff_cy)>0: mean_y_diff = np.mean(diff_cy) mean_x_diff = np.mean(diff_cx) + count_hor = np.count_nonzero(np.array(w_h_textline) > 1) + count_ver = len(w_h_textline) - count_hor + else: mean_y_diff = 0 mean_x_diff = 0 + count_hor = 1 + count_ver = 0 - if np.int(mean_y_diff) >= np.int(mean_x_diff): + if count_hor >= count_ver: row_threshold = mean_y_diff / 1.5 if mean_y_diff > 0 else 10 indices_sorted_by_y = sorted(range(N), key=lambda i: cy_textline[i]) @@ -1825,6 +1830,8 @@ class Eynollah: polygons_of_textlines = return_contours_of_interested_region(textline_mask_tot,1,0.00001) M_main_tot = [cv2.moments(polygons_of_textlines[j]) for j in range(len(polygons_of_textlines))] + + w_h_textlines = [cv2.boundingRect(polygons_of_textlines[i])[2:] for i in range(len(polygons_of_textlines))] cx_main_tot = [(M_main_tot[j]["m10"] / (M_main_tot[j]["m00"] + 1e-32)) for j in range(len(M_main_tot))] cy_main_tot = [(M_main_tot[j]["m01"] / (M_main_tot[j]["m00"] + 1e-32)) for j in range(len(M_main_tot))] @@ -1841,8 +1848,9 @@ class Eynollah: textlines_ins = [polygons_of_textlines[ind] for ind in indexes_in] cx_textline_in = [cx_main_tot[ind] for ind in indexes_in] cy_textline_in = [cy_main_tot[ind] for ind in indexes_in] + w_h_textlines_in = [w_h_textlines[ind][0] / float(w_h_textlines[ind][1]) for ind in indexes_in] - textlines_ins = self.get_textlines_of_a_textregion_sorted(textlines_ins, cx_textline_in, cy_textline_in) + textlines_ins = self.get_textlines_of_a_textregion_sorted(textlines_ins, cx_textline_in, cy_textline_in, w_h_textlines_in) all_found_textline_polygons.append(textlines_ins)#[::-1]) slopes.append(slope_deskew) @@ -4695,10 +4703,12 @@ class Eynollah: M_main_tot = [cv2.moments(all_found_textline_polygons[j]) for j in range(len(all_found_textline_polygons))] + w_h_textlines = [cv2.boundingRect(all_found_textline_polygons[j])[2:] for j in range(len(all_found_textline_polygons))] + w_h_textlines = [w_h_textlines[j][0] / float(w_h_textlines[j][1]) for j in range(len(w_h_textlines))] cx_main_tot = [(M_main_tot[j]["m10"] / (M_main_tot[j]["m00"] + 1e-32)) for j in range(len(M_main_tot))] cy_main_tot = [(M_main_tot[j]["m01"] / (M_main_tot[j]["m00"] + 1e-32)) for j in range(len(M_main_tot))] - all_found_textline_polygons = self.get_textlines_of_a_textregion_sorted(all_found_textline_polygons, cx_main_tot, cy_main_tot)#all_found_textline_polygons[::-1] + all_found_textline_polygons = self.get_textlines_of_a_textregion_sorted(all_found_textline_polygons, cx_main_tot, cy_main_tot, w_h_textlines)#all_found_textline_polygons[::-1] all_found_textline_polygons=[ all_found_textline_polygons ] From 58dd192fad4dedb4161e2ee9a695039c5d4db964 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 16:05:45 +0200 Subject: [PATCH 34/57] smoke-test: also add enhancement and mbreorder here --- Makefile | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 177e87c..f78d7d1 100644 --- a/Makefile +++ b/Makefile @@ -82,13 +82,21 @@ smoke-test: tests/resources/kant_aufklaerung_1784_0020.tif eynollah layout -i $< -o $(TMPDIR) -m $(CURDIR)/models_eynollah fgrep -q http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15 $(TMPDIR)/$(basename $( Date: Thu, 25 Sep 2025 16:08:40 +0200 Subject: [PATCH 35/57] CLIs: add required=True where missing --- src/eynollah/cli.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index 71958df..9744ecb 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -29,6 +29,7 @@ def main(): "-o", help="directory for output images", type=click.Path(exists=True, file_okay=False), + required=True, ) @click.option( "--model", @@ -75,6 +76,7 @@ def machine_based_reading_order(dir_in, input, out, model, log_level): "-o", help="output image (if using -i) or output image directory (if using -di)", type=click.Path(file_okay=True, dir_okay=True), + required=True, ) @click.option( "--log_level", @@ -475,6 +477,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ "-dx", help="directory of xmls", type=click.Path(exists=True, file_okay=False), + required=True, ) @click.option( "--dir_out_image_text", @@ -492,6 +495,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ "--model_name", help="Specific model file path to use for OCR", type=click.Path(exists=True, file_okay=False), + required=True, ) @click.option( "--tr_ocr", From ef1304a764530802b34c54b8e2a53fbe8a6809d9 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 16:11:39 +0200 Subject: [PATCH 36/57] CLIs: reorder options, explain -i vs -di --- src/eynollah/cli.py | 72 +++++++++++++++++++++------------------------ 1 file changed, 33 insertions(+), 39 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index 9744ecb..3e9fbe4 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -12,18 +12,18 @@ def main(): pass @main.command() -@click.option( - "--dir_in", - "-di", - help="directory of PAGE-XML input files", - type=click.Path(exists=True, file_okay=False), -) @click.option( "--input", "-i", help="PAGE-XML input filename", type=click.Path(exists=True, dir_okay=False), ) +@click.option( + "--dir_in", + "-di", + help="directory of PAGE-XML input files (instead of --input)", + type=click.Path(exists=True, file_okay=False), +) @click.option( "--out", "-o", @@ -45,7 +45,8 @@ def main(): help="Override log level globally to this", ) -def machine_based_reading_order(dir_in, input, out, model, log_level): +def machine_based_reading_order(input, dir_in, out, model, log_level): + assert bool(input) != bool(dir_in), "Either -i (single input) or -di (directory) must be provided, but not both." orderer = machine_based_reading_order_on_layout(model, dir_out=out) if log_level: orderer.logger.setLevel(getLevelName(log_level)) @@ -68,7 +69,7 @@ def machine_based_reading_order(dir_in, input, out, model, log_level): @click.option( "--dir_in", "-di", - help="directory of input images", + help="directory of input images (instead of --image)", type=click.Path(exists=True, file_okay=False), ) @click.option( @@ -85,7 +86,7 @@ def machine_based_reading_order(dir_in, input, out, model, log_level): help="Override log level globally to this", ) def binarization(patches, model_dir, input_image, dir_in, output, log_level): - assert (dir_in is None) != (input_image is None), "Specify either -di and or -i not both" + assert bool(input_image) != bool(dir_in), "Either -i (single input) or -di (directory) must be provided, but not both." binarizer = SbbBinarizer(model_dir) if log_level: binarizer.log.setLevel(getLevelName(log_level)) @@ -116,7 +117,7 @@ def binarization(patches, model_dir, input_image, dir_in, output, log_level): @click.option( "--dir_in", "-di", - help="directory of input images", + help="directory of input images (instead of --image)", type=click.Path(exists=True, file_okay=False), ) @click.option( @@ -151,8 +152,8 @@ def binarization(patches, model_dir, input_image, dir_in, output, log_level): ) def enhancement(image, out, overwrite, dir_in, model, num_col_upper, num_col_lower, save_org_scale, log_level): + assert bool(image) != bool(dir_in), "Either -i (single input) or -di (directory) must be provided, but not both." initLogging() - assert image or dir_in, "Either a single image -i or a dir_in -di is required" enhancer = Enhancer( model, dir_out=out, @@ -191,7 +192,7 @@ def enhancement(image, out, overwrite, dir_in, model, num_col_upper, num_col_low @click.option( "--dir_in", "-di", - help="directory of input images", + help="directory of input images (instead of --image)", type=click.Path(exists=True, file_okay=False), ) @click.option( @@ -400,7 +401,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ assert not extract_only_images or not tables, "Image extraction -eoi can not be set alongside tables -tab" assert not extract_only_images or not right2left, "Image extraction -eoi can not be set alongside right2left -r2l" assert not extract_only_images or not headers_off, "Image extraction -eoi can not be set alongside headers_off -ho" - assert image or dir_in, "Either a single image -i or a dir_in -di is required" + assert bool(image) != bool(dir_in), "Either -i (single input) or -di (directory) must be provided, but not both." eynollah = Eynollah( model, dir_out=out, @@ -447,44 +448,44 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ help="input image filename", type=click.Path(exists=True, dir_okay=False), ) -@click.option( - "--overwrite", - "-O", - help="overwrite (instead of skipping) if output xml exists", - is_flag=True, -) @click.option( "--dir_in", "-di", - help="directory of input images", + help="directory of input images (instead of --image)", type=click.Path(exists=True, file_okay=False), ) @click.option( "--dir_in_bin", "-dib", - help="directory of binarized images. This should be given if you want to do prediction based on both rgb and bin images. And all bin images are png files", + help="directory of binarized images (in addition to --dir_in for RGB images; filename stems must match the RGB image files, with '.png' suffix).\nPerform prediction using both RGB and binary images. (This does not necessarily improve results, however it may be beneficial for certain document images.)", type=click.Path(exists=True, file_okay=False), ) -@click.option( - "--out", - "-o", - help="directory to write output xml data", - type=click.Path(exists=True, file_okay=False), - required=True, -) @click.option( "--dir_xmls", "-dx", - help="directory of xmls", + help="directory of input PAGE-XML files (in addition to --dir_in; filename stems must match the image files, with '.xml' suffix).", + type=click.Path(exists=True, file_okay=False), + required=True, +) +@click.option( + "--out", + "-o", + help="directory for output PAGE-XML files", type=click.Path(exists=True, file_okay=False), required=True, ) @click.option( "--dir_out_image_text", "-doit", - help="directory of images with predicted text", + help="directory for output images, newly rendered with predicted text", type=click.Path(exists=True, file_okay=False), ) +@click.option( + "--overwrite", + "-O", + help="overwrite (instead of skipping) if output xml exists", + is_flag=True, +) @click.option( "--model", "-m", @@ -515,12 +516,6 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ is_flag=True, help="if this parameter set to true, cropped textline images will not be masked with textline contour.", ) -@click.option( - "--prediction_with_both_of_rgb_and_bin", - "-brb/-nbrb", - is_flag=True, - help="If this parameter is set to True, the prediction will be performed using both RGB and binary images. However, this does not necessarily improve results; it may be beneficial for certain document images.", -) @click.option( "--batch_size", "-bs", @@ -543,7 +538,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ help="Override log level globally to this", ) -def ocr(image, overwrite, dir_in, dir_in_bin, out, dir_xmls, dir_out_image_text, model, model_name, tr_ocr, export_textline_images_and_text, do_not_mask_with_textline_contour, prediction_with_both_of_rgb_and_bin, batch_size, dataset_abbrevation, min_conf_value_of_textline_text, log_level): +def ocr(image, dir_in, dir_in_bin, dir_xmls, out, dir_out_image_text, overwrite, model, model_name, tr_ocr, export_textline_images_and_text, do_not_mask_with_textline_contour, batch_size, dataset_abbrevation, min_conf_value_of_textline_text, log_level): initLogging() assert not model or not model_name, "model directory -m can not be set alongside specific model name --model_name" @@ -552,8 +547,7 @@ def ocr(image, overwrite, dir_in, dir_in_bin, out, dir_xmls, dir_out_image_text, assert not export_textline_images_and_text or not batch_size, "Exporting textline and text -etit can not be set alongside batch size -bs" assert not export_textline_images_and_text or not dir_in_bin, "Exporting textline and text -etit can not be set alongside directory of bin images -dib" assert not export_textline_images_and_text or not dir_out_image_text, "Exporting textline and text -etit can not be set alongside directory of images with predicted text -doit" - assert not export_textline_images_and_text or not prediction_with_both_of_rgb_and_bin, "Exporting textline and text -etit can not be set alongside prediction with both rgb and bin -brb" - assert (bool(image) ^ bool(dir_in)), "Either -i (single image) or -di (directory) must be provided, but not both." + assert bool(image) != bool(dir_in), "Either -i (single image) or -di (directory) must be provided, but not both." eynollah_ocr = Eynollah_ocr( image_filename=image, dir_xmls=dir_xmls, From 5b1e0c13276db179f74770408fb805f9a7b84d87 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 16:26:31 +0200 Subject: [PATCH 37/57] layout/ocr: make all path options kwargs to run() instead of attributes; ocr: drop redundant prediction_with_both_of_rgb_and_bin in favour of just bool(dir_in_bin) --- src/eynollah/cli.py | 37 +++-- src/eynollah/eynollah.py | 233 ++++++++++++-------------------- src/eynollah/utils/utils_ocr.py | 4 +- 3 files changed, 110 insertions(+), 164 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index 3e9fbe4..a0608f9 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -404,13 +404,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ assert bool(image) != bool(dir_in), "Either -i (single input) or -di (directory) must be provided, but not both." eynollah = Eynollah( model, - dir_out=out, - dir_of_cropped_images=save_images, extract_only_images=extract_only_images, - dir_of_layout=save_layout, - dir_of_deskewed=save_deskewed, - dir_of_all=save_all, - dir_save_page=save_page, enable_plotting=enable_plotting, allow_enhancement=allow_enhancement, curved_line=curved_line, @@ -435,11 +429,16 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ ) if log_level: eynollah.logger.setLevel(getLevelName(log_level)) - if dir_in: - eynollah.run(dir_in=dir_in, overwrite=overwrite) - else: - eynollah.run(image_filename=image, overwrite=overwrite) - + eynollah.run(overwrite=overwrite, + image_filename=image, + dir_in=dir_in, + dir_out=out, + dir_of_cropped_images=save_images, + dir_of_layout=save_layout, + dir_of_deskewed=save_deskewed, + dir_of_all=save_all, + dir_save_page=save_page, + ) @main.command() @click.option( @@ -549,25 +548,25 @@ def ocr(image, dir_in, dir_in_bin, dir_xmls, out, dir_out_image_text, overwrite, assert not export_textline_images_and_text or not dir_out_image_text, "Exporting textline and text -etit can not be set alongside directory of images with predicted text -doit" assert bool(image) != bool(dir_in), "Either -i (single image) or -di (directory) must be provided, but not both." eynollah_ocr = Eynollah_ocr( - image_filename=image, - dir_xmls=dir_xmls, - dir_out_image_text=dir_out_image_text, - dir_in=dir_in, - dir_in_bin=dir_in_bin, - dir_out=out, dir_models=model, model_name=model_name, tr_ocr=tr_ocr, export_textline_images_and_text=export_textline_images_and_text, do_not_mask_with_textline_contour=do_not_mask_with_textline_contour, - prediction_with_both_of_rgb_and_bin=prediction_with_both_of_rgb_and_bin, batch_size=batch_size, pref_of_dataset=dataset_abbrevation, min_conf_value_of_textline_text=min_conf_value_of_textline_text, ) if log_level: eynollah_ocr.logger.setLevel(getLevelName(log_level)) - eynollah_ocr.run(overwrite=overwrite) + eynollah_ocr.run(overwrite=overwrite, + dir_in=dir_in, + dir_in_bin=dir_in_bin, + image_filename=image, + dir_xmls=dir_xmls, + dir_out_image_text=dir_out_image_text, + dir_out=out, + ) if __name__ == "__main__": main() diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 9071f7a..533b38f 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -191,13 +191,7 @@ class Eynollah: def __init__( self, dir_models : str, - dir_out : Optional[str] = None, - dir_of_cropped_images : Optional[str] = None, extract_only_images : bool =False, - dir_of_layout : Optional[str] = None, - dir_of_deskewed : Optional[str] = None, - dir_of_all : Optional[str] = None, - dir_save_page : Optional[str] = None, enable_plotting : bool = False, allow_enhancement : bool = False, curved_line : bool = False, @@ -221,18 +215,12 @@ class Eynollah: skip_layout_and_reading_order : bool = False, ): self.logger = getLogger('eynollah') - + self.plotter = None + if skip_layout_and_reading_order: textline_light = True self.light_version = light_version - self.dir_out = dir_out - self.dir_of_all = dir_of_all - self.dir_save_page = dir_save_page self.reading_order_machine_based = reading_order_machine_based - self.dir_of_deskewed = dir_of_deskewed - self.dir_of_deskewed = dir_of_deskewed - self.dir_of_cropped_images=dir_of_cropped_images - self.dir_of_layout=dir_of_layout self.enable_plotting = enable_plotting self.allow_enhancement = allow_enhancement self.curved_line = curved_line @@ -423,21 +411,11 @@ class Eynollah: if dpi is not None: self.dpi = dpi - def reset_file_name_dir(self, image_filename): + def reset_file_name_dir(self, image_filename, dir_out): t_c = time.time() self.cache_images(image_filename=image_filename) - - self.plotter = None if not self.enable_plotting else EynollahPlotter( - dir_out=self.dir_out, - dir_of_all=self.dir_of_all, - dir_save_page=self.dir_save_page, - dir_of_deskewed=self.dir_of_deskewed, - dir_of_cropped_images=self.dir_of_cropped_images, - dir_of_layout=self.dir_of_layout, - image_filename_stem=Path(Path(image_filename).name).stem) - self.writer = EynollahXmlWriter( - dir_out=self.dir_out, + dir_out=dir_out, image_filename=image_filename, curved_line=self.curved_line, textline_light = self.textline_light) @@ -4525,7 +4503,17 @@ class Eynollah: return ordered_left_marginals, ordered_right_marginals, ordered_left_marginals_textline, ordered_right_marginals_textline, ordered_left_marginals_bbox, ordered_right_marginals_bbox, ordered_left_slopes_marginals, ordered_right_slopes_marginals - def run(self, image_filename : Optional[str] = None, dir_in : Optional[str] = None, overwrite : bool = False): + def run(self, + overwrite: bool = False, + image_filename: Optional[str] = None, + dir_in: Optional[str] = None, + dir_out: Optional[str] = None, + dir_of_cropped_images: Optional[str] = None, + dir_of_layout: Optional[str] = None, + dir_of_deskewed: Optional[str] = None, + dir_of_all: Optional[str] = None, + dir_save_page: Optional[str] = None, + ): """ Get image and scales, then extract the page of scanned image """ @@ -4546,9 +4534,19 @@ class Eynollah: enabled_modes.append("Table detection") if enabled_modes: self.logger.info("Enabled modes: " + ", ".join(enabled_modes)) + if self.enable_plotting: + self.logger.info("Saving debug plots") + if dir_of_cropped_images: + self.logger.info(f"Saving cropped images to: {dir_of_cropped_images}") + if dir_of_layout: + self.logger.info(f"Saving layout plots to: {dir_of_layout}") + if dir_of_deskewed: + self.logger.info(f"Saving deskewed images to: {dir_of_deskewed}") if dir_in: - ls_imgs = list(filter(is_image_filename, os.listdir(self.dir_in))) + ls_imgs = [os.path.join(dir_in, image_filename) + for image_filename in filter(is_image_filename, + os.listdir(dir_in))] elif image_filename: ls_imgs = [image_filename] else: @@ -4558,7 +4556,15 @@ class Eynollah: self.logger.info(img_filename) t0 = time.time() - self.reset_file_name_dir(os.path.join(dir_in or "", img_filename)) + self.reset_file_name_dir(img_filename, dir_out) + if self.enable_plotting: + self.plotter = EynollahPlotter(dir_out=dir_out, + dir_of_all=dir_of_all, + dir_save_page=dir_save_page, + dir_of_deskewed=dir_of_deskewed, + dir_of_cropped_images=dir_of_cropped_images, + dir_of_layout=dir_of_layout, + image_filename_stem=Path(image_filename).stem) #print("text region early -11 in %.1fs", time.time() - t0) if os.path.exists(self.writer.output_filename): if overwrite: @@ -5151,19 +5157,6 @@ class Eynollah: self.logger.info("Step 5/5: Output Generation") - output_config = [] - if self.enable_plotting: - output_config.append("Saving debug plots") - if self.dir_of_cropped_images: - output_config.append(f"Saving cropped images to: {self.dir_of_cropped_images}") - if self.dir_of_layout: - output_config.append(f"Saving layout plots to: {self.dir_of_layout}") - if self.dir_of_deskewed: - output_config.append(f"Saving deskewed images to: {self.dir_of_deskewed}") - - if output_config: - self.logger.info("Output configuration:\n * %s", "\n * ".join(output_config)) - pcgts = self.writer.build_pagexml_full_layout( contours_only_text_parent, contours_only_text_parent_h, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, all_found_textline_polygons_h, all_box_coord, all_box_coord_h, @@ -5283,21 +5276,8 @@ class Eynollah: self.logger.info(f"Detection of reading order took {time.time() - t_order:.1f}s") self.logger.info("Step 5/5: Output Generation") - self.logger.info("Generating PAGE-XML output") - if self.enable_plotting: - self.logger.info("Saving debug plots") - - if self.dir_of_cropped_images: - self.logger.info(f"Saving cropped images to: {self.dir_of_cropped_images}") - - if self.dir_of_layout: - self.logger.info(f"Saving layout plots to: {self.dir_of_layout}") - - if self.dir_of_deskewed: - self.logger.info(f"Saving deskewed images to: {self.dir_of_deskewed}") - pcgts = self.writer.build_pagexml_no_full_layout( txt_con_org, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, all_box_coord, polygons_of_images, polygons_of_marginals_left, polygons_of_marginals_right, @@ -5315,32 +5295,19 @@ class Eynollah_ocr: dir_models, model_name=None, dir_xmls=None, - dir_in=None, - image_filename=None, - dir_in_bin=None, - dir_out=None, - dir_out_image_text=None, tr_ocr=False, batch_size=None, export_textline_images_and_text=False, do_not_mask_with_textline_contour=False, - prediction_with_both_of_rgb_and_bin=False, pref_of_dataset=None, min_conf_value_of_textline_text : Optional[float]=None, logger=None, ): - self.dir_in = dir_in - self.image_filename = image_filename - self.dir_in_bin = dir_in_bin - self.dir_out = dir_out - self.dir_xmls = dir_xmls self.dir_models = dir_models self.model_name = model_name self.tr_ocr = tr_ocr self.export_textline_images_and_text = export_textline_images_and_text self.do_not_mask_with_textline_contour = do_not_mask_with_textline_contour - self.dir_out_image_text = dir_out_image_text - self.prediction_with_both_of_rgb_and_bin = prediction_with_both_of_rgb_and_bin self.pref_of_dataset = pref_of_dataset self.logger = logger if logger else getLogger('eynollah') @@ -5392,23 +5359,27 @@ class Eynollah_ocr: ) self.end_character = len(characters) + 2 - def run(self, overwrite : bool = False): - if self.dir_in: - ls_imgs = list(filter(is_image_filename, os.listdir(self.dir_in))) + def run(self, overwrite: bool = False, + dir_in: Optional[str] = None, + dir_in_bin: Optional[str] = None, + image_filename: Optional[str] = None, + dir_xmls: Optional[str] = None, + dir_out_image_text: Optional[str] = None, + dir_out: Optional[str] = None, + ): + if dir_in: + ls_imgs = [os.path.join(dir_in, image_filename) + for image_filename in filter(is_image_filename, + os.listdir(dir_in))] else: - ls_imgs = [self.image_filename] - + ls_imgs = [image_filename] + if self.tr_ocr: tr_ocr_input_height_and_width = 384 - for ind_img in ls_imgs: - if self.dir_in: - file_name = Path(ind_img).stem - dir_img = os.path.join(self.dir_in, ind_img) - else: - file_name = Path(self.image_filename).stem - dir_img = self.image_filename - dir_xml = os.path.join(self.dir_xmls, file_name+'.xml') - out_file_ocr = os.path.join(self.dir_out, file_name+'.xml') + for dir_img in ls_imgs: + file_name = Path(dir_img).stem + dir_xml = os.path.join(dir_xmls, file_name+'.xml') + out_file_ocr = os.path.join(dir_out, file_name+'.xml') if os.path.exists(out_file_ocr): if overwrite: @@ -5419,8 +5390,8 @@ class Eynollah_ocr: img = cv2.imread(dir_img) - if self.dir_out_image_text: - out_image_with_text = os.path.join(self.dir_out_image_text, file_name+'.png') + if dir_out_image_text: + out_image_with_text = os.path.join(dir_out_image_text, file_name+'.png') image_text = Image.new("RGB", (img.shape[1], img.shape[0]), "white") draw = ImageDraw.Draw(image_text) total_bb_coordinates = [] @@ -5458,7 +5429,7 @@ class Eynollah_ocr: textline_coords = np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) x,y,w,h = cv2.boundingRect(textline_coords) - if self.dir_out_image_text: + if dir_out_image_text: total_bb_coordinates.append([x,y,w,h]) h2w_ratio = h/float(w) @@ -5580,7 +5551,7 @@ class Eynollah_ocr: unique_cropped_lines_region_indexer = np.unique(cropped_lines_region_indexer) - if self.dir_out_image_text: + if dir_out_image_text: font_path = "Charis-7.000/Charis-Regular.ttf" # Make sure this file exists! font = ImageFont.truetype(font_path, 40) @@ -5708,18 +5679,10 @@ class Eynollah_ocr: img_size=(image_width, image_height) - for ind_img in ls_imgs: - if self.dir_in: - file_name = Path(ind_img).stem - dir_img = os.path.join(self.dir_in, ind_img) - else: - file_name = Path(self.image_filename).stem - dir_img = self.image_filename - - #file_name = Path(ind_img).stem - #dir_img = os.path.join(self.dir_in, ind_img) - dir_xml = os.path.join(self.dir_xmls, file_name+'.xml') - out_file_ocr = os.path.join(self.dir_out, file_name+'.xml') + for dir_img in ls_imgs: + file_name = Path(dir_img).stem + dir_xml = os.path.join(dir_xmls, file_name+'.xml') + out_file_ocr = os.path.join(dir_out, file_name+'.xml') if os.path.exists(out_file_ocr): if overwrite: @@ -5729,13 +5692,13 @@ class Eynollah_ocr: continue img = cv2.imread(dir_img) - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: cropped_lines_bin = [] - dir_img_bin = os.path.join(self.dir_in_bin, file_name+'.png') + dir_img_bin = os.path.join(dir_in_bin, file_name+'.png') img_bin = cv2.imread(dir_img_bin) - if self.dir_out_image_text: - out_image_with_text = os.path.join(self.dir_out_image_text, file_name+'.png') + if dir_out_image_text: + out_image_with_text = os.path.join(dir_out_image_text, file_name+'.png') image_text = Image.new("RGB", (img.shape[1], img.shape[0]), "white") draw = ImageDraw.Draw(image_text) total_bb_coordinates = [] @@ -5779,13 +5742,13 @@ class Eynollah_ocr: if type_textregion=='drop-capital': angle_degrees = 0 - if self.dir_out_image_text: + if dir_out_image_text: total_bb_coordinates.append([x,y,w,h]) w_scaled = w * image_height/float(h) img_poly_on_img = np.copy(img) - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_poly_on_img_bin = np.copy(img_bin) img_crop_bin = img_poly_on_img_bin[y:y+h, x:x+w, :] @@ -5808,7 +5771,7 @@ class Eynollah_ocr: img_crop = rotate_image_with_padding(img_crop, better_des_slope ) - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_crop_bin = rotate_image_with_padding(img_crop_bin, better_des_slope ) mask_poly = rotate_image_with_padding(mask_poly, better_des_slope ) @@ -5823,13 +5786,13 @@ class Eynollah_ocr: if not self.do_not_mask_with_textline_contour: img_crop[mask_poly==0] = 255 - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_crop_bin = img_crop_bin[y_n:y_n+h_n, x_n:x_n+w_n, :] if not self.do_not_mask_with_textline_contour: img_crop_bin[mask_poly==0] = 255 if mask_poly[:,:,0].sum() /float(w_n*h_n) < 0.50 and w_scaled > 90: - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_crop, img_crop_bin = break_curved_line_into_small_pieces_and_then_merge(img_crop, mask_poly, img_crop_bin) else: img_crop, _ = break_curved_line_into_small_pieces_and_then_merge(img_crop, mask_poly) @@ -5839,14 +5802,14 @@ class Eynollah_ocr: better_des_slope = 0 if not self.do_not_mask_with_textline_contour: img_crop[mask_poly==0] = 255 - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: if not self.do_not_mask_with_textline_contour: img_crop_bin[mask_poly==0] = 255 if type_textregion=='drop-capital': pass else: if mask_poly[:,:,0].sum() /float(w*h) < 0.50 and w_scaled > 90: - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_crop, img_crop_bin = break_curved_line_into_small_pieces_and_then_merge(img_crop, mask_poly, img_crop_bin) else: img_crop, _ = break_curved_line_into_small_pieces_and_then_merge(img_crop, mask_poly) @@ -5861,14 +5824,12 @@ class Eynollah_ocr: cropped_lines_ver_index.append(0) cropped_lines_meging_indexing.append(0) - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_fin = preprocess_and_resize_image_for_ocrcnn_model(img_crop_bin, image_height, image_width) cropped_lines_bin.append(img_fin) else: - if self.prediction_with_both_of_rgb_and_bin: - splited_images, splited_images_bin = return_textlines_split_if_needed(img_crop, img_crop_bin, prediction_with_both_of_rgb_and_bin=self.prediction_with_both_of_rgb_and_bin) - else: - splited_images, splited_images_bin = return_textlines_split_if_needed(img_crop, None) + splited_images, splited_images_bin = return_textlines_split_if_needed( + img_crop, img_crop_bin if dir_in_bin is not None else None) if splited_images: img_fin = preprocess_and_resize_image_for_ocrcnn_model(splited_images[0], image_height, image_width) cropped_lines.append(img_fin) @@ -5889,7 +5850,7 @@ class Eynollah_ocr: else: cropped_lines_ver_index.append(0) - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_fin = preprocess_and_resize_image_for_ocrcnn_model(splited_images_bin[0], image_height, image_width) cropped_lines_bin.append(img_fin) img_fin = preprocess_and_resize_image_for_ocrcnn_model(splited_images_bin[1], image_height, image_width) @@ -5905,7 +5866,7 @@ class Eynollah_ocr: else: cropped_lines_ver_index.append(0) - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: img_fin = preprocess_and_resize_image_for_ocrcnn_model(img_crop_bin, image_height, image_width) cropped_lines_bin.append(img_fin) @@ -5918,29 +5879,15 @@ class Eynollah_ocr: if cheild_text.tag.endswith("Unicode"): textline_text = cheild_text.text if textline_text: - if self.do_not_mask_with_textline_contour: - if self.pref_of_dataset: - with open(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'_'+self.pref_of_dataset+'.txt'), 'w') as text_file: - text_file.write(textline_text) - - cv2.imwrite(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'_'+self.pref_of_dataset+'.png'), img_crop ) - else: - with open(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'.txt'), 'w') as text_file: - text_file.write(textline_text) - - cv2.imwrite(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'.png'), img_crop ) - else: - if self.pref_of_dataset: - with open(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'_'+self.pref_of_dataset+'_masked.txt'), 'w') as text_file: - text_file.write(textline_text) - - cv2.imwrite(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'_'+self.pref_of_dataset+'_masked.png'), img_crop ) - else: - with open(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'_masked.txt'), 'w') as text_file: - text_file.write(textline_text) - - cv2.imwrite(os.path.join(self.dir_out, file_name+'_line_'+str(indexer_textlines)+'_masked.png'), img_crop ) + base_name = os.path.join(dir_out, file_name + '_line_' + str(indexer_textlines)) + if self.pref_of_dataset: + base_name += '_' + self.pref_of_dataset + if not self.do_not_mask_with_textline_contour: + base_name += '_masked' + with open(base_name + '.txt', 'w') as text_file: + text_file.write(textline_text) + cv2.imwrite(base_name + '.png', img_crop) indexer_textlines+=1 if not self.export_textline_images_and_text: @@ -5971,7 +5918,7 @@ class Eynollah_ocr: else: imgs_ver_flipped = None - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: imgs_bin = cropped_lines_bin[n_start:] imgs_bin = np.array(imgs_bin) imgs_bin = imgs_bin.reshape(imgs_bin.shape[0], image_height, image_width, 3) @@ -6001,7 +5948,7 @@ class Eynollah_ocr: imgs_ver_flipped = None - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: imgs_bin = cropped_lines_bin[n_start:n_end] imgs_bin = np.array(imgs_bin).reshape(self.b_s, image_height, image_width, 3) @@ -6040,7 +5987,7 @@ class Eynollah_ocr: if len(indices_where_flipped_conf_value_is_higher)>0: indices_to_be_replaced = indices_ver[indices_where_flipped_conf_value_is_higher] preds[indices_to_be_replaced,:,:] = preds_flipped[indices_where_flipped_conf_value_is_higher, :, :] - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: preds_bin = self.prediction_model.predict(imgs_bin, verbose=0) if len(indices_ver)>0: @@ -6087,7 +6034,7 @@ class Eynollah_ocr: extracted_texts.append("") extracted_conf_value.append(0) del cropped_lines - if self.prediction_with_both_of_rgb_and_bin: + if dir_in_bin is not None: del cropped_lines_bin gc.collect() @@ -6100,7 +6047,7 @@ class Eynollah_ocr: unique_cropped_lines_region_indexer = np.unique(cropped_lines_region_indexer) - if self.dir_out_image_text: + if dir_out_image_text: font_path = "Charis-7.000/Charis-Regular.ttf" # Make sure this file exists! font = ImageFont.truetype(font_path, 40) diff --git a/src/eynollah/utils/utils_ocr.py b/src/eynollah/utils/utils_ocr.py index d974650..4fa99f7 100644 --- a/src/eynollah/utils/utils_ocr.py +++ b/src/eynollah/utils/utils_ocr.py @@ -109,13 +109,13 @@ def fit_text_single_line(draw, text, font_path, max_width, max_height): return ImageFont.truetype(font_path, 10) # Smallest font fallback -def return_textlines_split_if_needed(textline_image, textline_image_bin, prediction_with_both_of_rgb_and_bin=False): +def return_textlines_split_if_needed(textline_image, textline_image_bin=None): split_point = return_start_and_end_of_common_text_of_textline_ocr_without_common_section(textline_image) if split_point: image1 = textline_image[:, :split_point,:]# image.crop((0, 0, width2, height)) image2 = textline_image[:, split_point:,:]#image.crop((width1, 0, width, height)) - if prediction_with_both_of_rgb_and_bin: + if textline_image_bin is not None: image1_bin = textline_image_bin[:, :split_point,:]# image.crop((0, 0, width2, height)) image2_bin = textline_image_bin[:, split_point:,:]#image.crop((width1, 0, width, height)) return [image1, image2], [image1_bin, image2_bin] From 1dcc7b5795d92619cd87699e6030cea088441f3c Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 16:38:43 +0200 Subject: [PATCH 38/57] ocr CLI: make --model vs --model_name xor --- src/eynollah/cli.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index a0608f9..3436250 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -495,7 +495,6 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ "--model_name", help="Specific model file path to use for OCR", type=click.Path(exists=True, file_okay=False), - required=True, ) @click.option( "--tr_ocr", @@ -540,7 +539,7 @@ def layout(image, out, overwrite, dir_in, model, save_images, save_layout, save_ def ocr(image, dir_in, dir_in_bin, dir_xmls, out, dir_out_image_text, overwrite, model, model_name, tr_ocr, export_textline_images_and_text, do_not_mask_with_textline_contour, batch_size, dataset_abbrevation, min_conf_value_of_textline_text, log_level): initLogging() - assert not model or not model_name, "model directory -m can not be set alongside specific model name --model_name" + assert bool(model) != bool(model_name), "Either -m (model directory) or --model_name (specific model name) must be provided." assert not export_textline_images_and_text or not tr_ocr, "Exporting textline and text -etit can not be set alongside transformer ocr -tr_ocr" assert not export_textline_images_and_text or not model, "Exporting textline and text -etit can not be set alongside model -m" assert not export_textline_images_and_text or not batch_size, "Exporting textline and text -etit can not be set alongside batch size -bs" From 2d14d57e4f42988e19cbc976e8b5174dec671b1b Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 19:52:50 +0200 Subject: [PATCH 39/57] ocr: minimal debug logging --- src/eynollah/eynollah.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 533b38f..6191b8e 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -5442,7 +5442,7 @@ class Eynollah_ocr: img_crop = img_poly_on_img[y:y+h, x:x+w, :] img_crop[mask_poly==0] = 255 - + self.logger.debug("processing %d lines for '%s'", len(cropped_lines), nn.attrib['id']) if h2w_ratio > 0.1: cropped_lines.append(resize_image(img_crop, tr_ocr_input_height_and_width, tr_ocr_input_height_and_width) ) cropped_lines_meging_indexing.append(0) @@ -5961,6 +5961,7 @@ class Eynollah_ocr: imgs_bin_ver_flipped = None + self.logger.debug("processing next %d lines", len(imgs)) preds = self.prediction_model.predict(imgs, verbose=0) if len(indices_ver)>0: From 5c7e1f21fb5c36c4012eb8b7231af47166da2820 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 19:53:19 +0200 Subject: [PATCH 40/57] test_run: add tests for ocr --- tests/test_run.py | 80 ++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 73 insertions(+), 7 deletions(-) diff --git a/tests/test_run.py b/tests/test_run.py index 370deef..cd24225 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -7,6 +7,7 @@ from eynollah.cli import ( binarization as binarization_cli, enhancement as enhancement_cli, machine_based_reading_order as mbreorder_cli, + ocr as ocr_cli, ) from click.testing import CliRunner from ocrd_modelfactory import page_from_file @@ -76,7 +77,7 @@ def test_run_eynollah_layout_directory(tmp_path, pytestconfig, caplog): return logrec.name == 'eynollah' runner = CliRunner() with caplog.filtering(only_eynollah): - result = runner.invoke(layout_cli, args) + result = runner.invoke(layout_cli, args, catch_exceptions=False) assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert len([logmsg for logmsg in logmsgs if logmsg.startswith('Job done in')]) == 2 @@ -104,7 +105,7 @@ def test_run_eynollah_binarization_filename(tmp_path, subtests, pytestconfig, ca with subtests.test(#msg="test CLI", options=options): with caplog.filtering(only_eynollah): - result = runner.invoke(binarization_cli, args + options) + result = runner.invoke(binarization_cli, args + options, catch_exceptions=False) assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert any(True for logmsg in logmsgs if logmsg.startswith('Predicting')) @@ -130,7 +131,7 @@ def test_run_eynollah_binarization_directory(tmp_path, subtests, pytestconfig, c return logrec.name == 'SbbBinarizer' runner = CliRunner() with caplog.filtering(only_eynollah): - result = runner.invoke(binarization_cli, args) + result = runner.invoke(binarization_cli, args, catch_exceptions=False) assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert len([logmsg for logmsg in logmsgs if logmsg.startswith('Predicting')]) == 2 @@ -159,7 +160,7 @@ def test_run_eynollah_enhancement_filename(tmp_path, subtests, pytestconfig, cap with subtests.test(#msg="test CLI", options=options): with caplog.filtering(only_eynollah): - result = runner.invoke(enhancement_cli, args + options) + result = runner.invoke(enhancement_cli, args + options, catch_exceptions=False) assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert any(True for logmsg in logmsgs if logmsg.startswith('Image was enhanced')), logmsgs @@ -185,7 +186,7 @@ def test_run_eynollah_enhancement_directory(tmp_path, subtests, pytestconfig, ca return logrec.name == 'enhancement' runner = CliRunner() with caplog.filtering(only_eynollah): - result = runner.invoke(enhancement_cli, args) + result = runner.invoke(enhancement_cli, args, catch_exceptions=False) assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] assert len([logmsg for logmsg in logmsgs if logmsg.startswith('Image was enhanced')]) == 2 @@ -206,7 +207,7 @@ def test_run_eynollah_mbreorder_filename(tmp_path, subtests, pytestconfig, caplo return logrec.name == 'mbreorder' runner = CliRunner() with caplog.filtering(only_eynollah): - result = runner.invoke(mbreorder_cli, args) + result = runner.invoke(mbreorder_cli, args, catch_exceptions=False) assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] # FIXME: mbreorder has no logging! @@ -235,9 +236,74 @@ def test_run_eynollah_mbreorder_directory(tmp_path, subtests, pytestconfig, capl return logrec.name == 'mbreorder' runner = CliRunner() with caplog.filtering(only_eynollah): - result = runner.invoke(mbreorder_cli, args) + result = runner.invoke(mbreorder_cli, args, catch_exceptions=False) assert result.exit_code == 0, result.stdout logmsgs = [logrec.message for logrec in caplog.records] # FIXME: mbreorder has no logging! #assert len([logmsg for logmsg in logmsgs if logmsg.startswith('???')]) == 2 assert len(list(outdir.iterdir())) == 2 + +def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): + infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.tif') + outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.xml') + outrenderfile = tmp_path.joinpath('render').joinpath('kant_aufklaerung_1784_0020.xml') + outrenderfile.parent.mkdir() + args = [ + '-m', EYNOLLAH_MODELS, + '-i', str(infile), + '-dx', str(infile.parent), + '-o', str(outfile.parent), + # subtests write to same location + '--overwrite', + ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) + caplog.set_level(logging.DEBUG) + def only_eynollah(logrec): + return logrec.name == 'eynollah' + runner = CliRunner() + for options in [ + [], # defaults + ["-doit", str(outrenderfile.parent)], + ["-trocr"], + ]: + with subtests.test(#msg="test CLI", + options=options): + with caplog.filtering(only_eynollah): + result = runner.invoke(ocr_cli, args + options, catch_exceptions=False) + assert result.exit_code == 0, result.stdout + logmsgs = [logrec.message for logrec in caplog.records] + # FIXME: ocr has no logging! + #assert any(True for logmsg in logmsgs if logmsg.startswith('???')), logmsgs + assert outfile.exists() + if "-doit" in options: + assert outrenderfile.exists() + #in_tree = page_from_file(str(infile)).etree + #in_order = in_tree.xpath("//page:OrderedGroup//@regionRef", namespaces=NS) + out_tree = page_from_file(str(outfile)).etree + out_texts = out_tree.xpath("//page:TextLine/page:TextEquiv[last()]/page:Unicode/text()", namespaces=NS) + assert len(out_texts) >= 2, ("result is inaccurate", out_texts) + assert sum(map(len, out_texts)) > 100, ("result is inaccurate", out_texts) + +def test_run_eynollah_ocr_directory(tmp_path, subtests, pytestconfig, caplog): + indir = testdir.joinpath('resources') + outdir = tmp_path + args = [ + '-m', EYNOLLAH_MODELS, + '-di', str(indir), + '-dx', str(indir), + '-o', str(outdir), + ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) + caplog.set_level(logging.INFO) + def only_eynollah(logrec): + return logrec.name == 'eynollah' + runner = CliRunner() + with caplog.filtering(only_eynollah): + result = runner.invoke(ocr_cli, args, catch_exceptions=False) + assert result.exit_code == 0, result.stdout + logmsgs = [logrec.message for logrec in caplog.records] + # FIXME: ocr has no logging! + #assert any(True for logmsg in logmsgs if logmsg.startswith('???')), logmsgs + assert len(list(outdir.iterdir())) == 2 From 11de8a025d8e7dc5a3be54cd8009144f947c7a24 Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 25 Sep 2025 20:11:48 +0200 Subject: [PATCH 41/57] Adapt ocrd-eynollah-segment for release --- src/eynollah/ocrd-tool.json | 12 +++++++++++- src/eynollah/processor.py | 9 +++++---- 2 files changed, 16 insertions(+), 5 deletions(-) diff --git a/src/eynollah/ocrd-tool.json b/src/eynollah/ocrd-tool.json index af5e03f..e5077e9 100644 --- a/src/eynollah/ocrd-tool.json +++ b/src/eynollah/ocrd-tool.json @@ -82,13 +82,23 @@ } }, "resources": [ + { + "url": "https://zenodo.org/records/17194824/files/models_layout_v0_5_0.tar.gz?download=1", + "name": "eynollah_layout_v0_5_0", + "type": "archive", + "path_in_archive": "eynollah_layout_v0_5_0", + "size": 3525684179, + "description": "Models for layout detection, reading order detection, textline detection, page extraction, column classification, table detection, binarization, image enhancement", + "version_range": ">= v0.5.0" + }, { "description": "models for eynollah (TensorFlow SavedModel format)", "url": "https://github.com/qurator-spk/eynollah/releases/download/v0.3.1/models_eynollah.tar.gz", "name": "default", "size": 1894627041, "type": "archive", - "path_in_archive": "models_eynollah" + "path_in_archive": "models_eynollah", + "version_range": ">= v0.3.0, < v0.5.0" } ] }, diff --git a/src/eynollah/processor.py b/src/eynollah/processor.py index c2922c1..12c7356 100644 --- a/src/eynollah/processor.py +++ b/src/eynollah/processor.py @@ -1,6 +1,7 @@ +from functools import cached_property from typing import Optional from ocrd_models import OcrdPage -from ocrd import Processor, OcrdPageResult +from ocrd import OcrdPageResultImage, Processor, OcrdPageResult from .eynollah import Eynollah, EynollahXmlWriter @@ -9,8 +10,8 @@ class EynollahProcessor(Processor): # already employs GPU (without singleton process atm) max_workers = 1 - @property - def executable(self): + @cached_property + def executable(self) -> str: return 'ocrd-eynollah-segment' def setup(self) -> None: @@ -20,7 +21,6 @@ class EynollahProcessor(Processor): "and parameter 'light_version' (faster+simpler method for main region detection and deskewing)") self.eynollah = Eynollah( self.resolve_resource(self.parameter['models']), - logger=self.logger, allow_enhancement=self.parameter['allow_enhancement'], curved_line=self.parameter['curved_line'], right2left=self.parameter['right_to_left'], @@ -33,6 +33,7 @@ class EynollahProcessor(Processor): headers_off=self.parameter['headers_off'], tables=self.parameter['tables'], ) + self.eynollah.logger = self.logger self.eynollah.plotter = None def shutdown(self): From e6ee26fde35d93584f295d47f3d8f85c1d65124a Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 25 Sep 2025 20:35:54 +0200 Subject: [PATCH 42/57] make models: adapt to zenodo/v0.5.0 --- Makefile | 29 +++++++++++++++-------------- 1 file changed, 15 insertions(+), 14 deletions(-) diff --git a/Makefile b/Makefile index f78d7d1..6566293 100644 --- a/Makefile +++ b/Makefile @@ -9,9 +9,10 @@ DOCKER ?= docker #SEG_MODEL := https://qurator-data.de/eynollah/2021-04-25/models_eynollah.tar.gz #SEG_MODEL := https://qurator-data.de/eynollah/2022-04-05/models_eynollah_renamed.tar.gz -SEG_MODEL := https://qurator-data.de/eynollah/2022-04-05/models_eynollah.tar.gz +# SEG_MODEL := https://qurator-data.de/eynollah/2022-04-05/models_eynollah.tar.gz #SEG_MODEL := https://github.com/qurator-spk/eynollah/releases/download/v0.3.0/models_eynollah.tar.gz #SEG_MODEL := https://github.com/qurator-spk/eynollah/releases/download/v0.3.1/models_eynollah.tar.gz +SEG_MODEL := https://zenodo.org/records/17194824/files/models_layout_v0_5_0.tar.gz?download=1 BIN_MODEL := https://github.com/qurator-spk/sbb_binarization/releases/download/v0.0.11/saved_model_2021_03_09.zip @@ -28,7 +29,7 @@ help: @echo " install Install package with pip" @echo " install-dev Install editable with pip" @echo " deps-test Install test dependencies with pip" - @echo " models Download and extract models to $(CURDIR)/models_eynollah" + @echo " models Download and extract models to $(CURDIR)/models_layout_v0_5_0" @echo " smoke-test Run simple CLI check" @echo " ocrd-test Run OCR-D CLI check" @echo " test Run unit tests" @@ -44,13 +45,13 @@ help: # END-EVAL -# Download and extract models to $(PWD)/models_eynollah -models: models_eynollah default-2021-03-09 +# Download and extract models to $(PWD)/models_layout_v0_5_0 +models: models_layout_v0_5_0 default-2021-03-09 -models_eynollah: models_eynollah.tar.gz - tar zxf models_eynollah.tar.gz +models_layout_v0_5_0: models_layout_v0_5_0.tar.gz + tar zxf models_layout_v0_5_0.tar.gz -models_eynollah.tar.gz: +models_layout_v0_5_0.tar.gz: wget $(SEG_MODEL) default-2021-03-09: $(notdir $(BIN_MODEL)) @@ -73,20 +74,20 @@ install: install-dev: $(PIP) install -e .$(and $(EXTRAS),[$(EXTRAS)]) -deps-test: models_eynollah +deps-test: models_layout_v0_5_0 $(PIP) install -r requirements-test.txt smoke-test: TMPDIR != mktemp -d smoke-test: tests/resources/kant_aufklaerung_1784_0020.tif # layout analysis: - eynollah layout -i $< -o $(TMPDIR) -m $(CURDIR)/models_eynollah + eynollah layout -i $< -o $(TMPDIR) -m $(CURDIR)/models_layout_v0_5_0 fgrep -q http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15 $(TMPDIR)/$(basename $( Date: Thu, 25 Sep 2025 20:51:02 +0200 Subject: [PATCH 43/57] enhancement/mbreorder: make all path options kwargs to run() instead of attributes --- src/eynollah/cli.py | 20 +++++++-------- src/eynollah/image_enhancer.py | 23 +++++++++-------- src/eynollah/mb_ro_on_layout.py | 45 +++++++++++++++------------------ 3 files changed, 43 insertions(+), 45 deletions(-) diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py index 3436250..93bb676 100644 --- a/src/eynollah/cli.py +++ b/src/eynollah/cli.py @@ -47,14 +47,14 @@ def main(): def machine_based_reading_order(input, dir_in, out, model, log_level): assert bool(input) != bool(dir_in), "Either -i (single input) or -di (directory) must be provided, but not both." - orderer = machine_based_reading_order_on_layout(model, dir_out=out) + orderer = machine_based_reading_order_on_layout(model) if log_level: orderer.logger.setLevel(getLevelName(log_level)) - if dir_in: - orderer.run(dir_in=dir_in) - else: - orderer.run(xml_filename=input) + orderer.run(xml_filename=input, + dir_in=dir_in, + dir_out=out, + ) @main.command() @@ -156,17 +156,17 @@ def enhancement(image, out, overwrite, dir_in, model, num_col_upper, num_col_low initLogging() enhancer = Enhancer( model, - dir_out=out, num_col_upper=num_col_upper, num_col_lower=num_col_lower, save_org_scale=save_org_scale, ) if log_level: enhancer.logger.setLevel(getLevelName(log_level)) - if dir_in: - enhancer.run(dir_in=dir_in, overwrite=overwrite) - else: - enhancer.run(image_filename=image, overwrite=overwrite) + enhancer.run(overwrite=overwrite, + dir_in=dir_in, + image_filename=image, + dir_out=out, + ) @main.command() @click.option( diff --git a/src/eynollah/image_enhancer.py b/src/eynollah/image_enhancer.py index 5a06d59..89dde16 100644 --- a/src/eynollah/image_enhancer.py +++ b/src/eynollah/image_enhancer.py @@ -11,7 +11,6 @@ from functools import partial from pathlib import Path from multiprocessing import cpu_count import gc -from loky import ProcessPoolExecutor import cv2 import numpy as np from ocrd_utils import getLogger, tf_disable_interactive_logs @@ -33,13 +32,11 @@ class Enhancer: def __init__( self, dir_models : str, - dir_out : Optional[str] = None, num_col_upper : Optional[int] = None, num_col_lower : Optional[int] = None, save_org_scale : bool = False, logger : Optional[Logger] = None, ): - self.dir_out = dir_out self.input_binary = False self.light_version = False self.save_org_scale = save_org_scale @@ -53,9 +50,6 @@ class Enhancer: self.num_col_lower = num_col_lower self.logger = logger if logger else getLogger('enhancement') - # for parallelization of CPU-intensive tasks: - self.executor = ProcessPoolExecutor(max_workers=cpu_count(), timeout=1200) - atexit.register(self.executor.shutdown) self.dir_models = dir_models self.model_dir_of_binarization = dir_models + "/eynollah-binarization_20210425" self.model_dir_of_enhancement = dir_models + "/eynollah-enhancement_20210425" @@ -94,9 +88,9 @@ class Enhancer: if dpi is not None: self.dpi = dpi - def reset_file_name_dir(self, image_filename): + def reset_file_name_dir(self, image_filename, dir_out): self.cache_images(image_filename=image_filename) - self.output_filename = os.path.join(self.dir_out, Path(image_filename).stem +'.png') + self.output_filename = os.path.join(dir_out, Path(image_filename).stem +'.png') def imread(self, grayscale=False, uint8=True): key = 'img' @@ -694,7 +688,12 @@ class Enhancer: return img_res - def run(self, image_filename : Optional[str] = None, dir_in : Optional[str] = None, overwrite : bool = False): + def run(self, + overwrite: bool = False, + image_filename: Optional[str] = None, + dir_in: Optional[str] = None, + dir_out: Optional[str] = None, + ): """ Get image and scales, then extract the page of scanned image """ @@ -702,7 +701,9 @@ class Enhancer: t0_tot = time.time() if dir_in: - ls_imgs = list(filter(is_image_filename, os.listdir(dir_in))) + ls_imgs = [os.path.join(dir_in, image_filename) + for image_filename in filter(is_image_filename, + os.listdir(dir_in))] elif image_filename: ls_imgs = [image_filename] else: @@ -712,7 +713,7 @@ class Enhancer: self.logger.info(img_filename) t0 = time.time() - self.reset_file_name_dir(os.path.join(dir_in or "", img_filename)) + self.reset_file_name_dir(img_filename, dir_out) #print("text region early -11 in %.1fs", time.time() - t0) if os.path.exists(self.output_filename): diff --git a/src/eynollah/mb_ro_on_layout.py b/src/eynollah/mb_ro_on_layout.py index 6d72614..45db8e4 100644 --- a/src/eynollah/mb_ro_on_layout.py +++ b/src/eynollah/mb_ro_on_layout.py @@ -10,7 +10,6 @@ import atexit from functools import partial from pathlib import Path from multiprocessing import cpu_count -from loky import ProcessPoolExecutor import xml.etree.ElementTree as ET import cv2 import numpy as np @@ -35,15 +34,9 @@ class machine_based_reading_order_on_layout: def __init__( self, dir_models : str, - dir_out : Optional[str] = None, logger : Optional[Logger] = None, ): - self.dir_out = dir_out - self.logger = logger if logger else getLogger('mbreorder') - # for parallelization of CPU-intensive tasks: - self.executor = ProcessPoolExecutor(max_workers=cpu_count(), timeout=1200) - atexit.register(self.executor.shutdown) self.dir_models = dir_models self.model_reading_order_dir = dir_models + "/model_eynollah_reading_order_20250824" @@ -56,9 +49,6 @@ class machine_based_reading_order_on_layout: self.model_reading_order = self.our_load_model(self.model_reading_order_dir) self.light_version = True - - - @staticmethod def our_load_model(model_file): if model_file.endswith('.h5') and Path(model_file[:-3]).exists(): @@ -70,10 +60,8 @@ class machine_based_reading_order_on_layout: model = load_model(model_file, compile=False, custom_objects={ "PatchEncoder": PatchEncoder, "Patches": Patches}) return model - - + def read_xml(self, xml_file): - file_name = Path(xml_file).stem tree1 = ET.parse(xml_file, parser = ET.XMLParser(encoding='utf-8')) root1=tree1.getroot() alltags=[elem.tag for elem in root1.iter()] @@ -495,7 +483,7 @@ class machine_based_reading_order_on_layout: img_poly=cv2.fillPoly(img, pts =co_img, color=(4,4,4)) img_poly=cv2.fillPoly(img, pts =co_sep, color=(5,5,5)) - return tree1, root1, bb_coord_printspace, file_name, id_paragraph, id_header+id_heading, co_text_paragraph, co_text_header+co_text_heading,\ + return tree1, root1, bb_coord_printspace, id_paragraph, id_header+id_heading, co_text_paragraph, co_text_header+co_text_heading,\ tot_region_ref,x_len, y_len,index_tot_regions, img_poly def return_indexes_of_contours_loctaed_inside_another_list_of_contours(self, contours, contours_loc, cx_main_loc, cy_main_loc, indexes_loc): @@ -744,7 +732,12 @@ class machine_based_reading_order_on_layout: - def run(self, xml_filename : Optional[str] = None, dir_in : Optional[str] = None, overwrite : bool = False): + def run(self, + overwrite: bool = False, + xml_filename: Optional[str] = None, + dir_in: Optional[str] = None, + dir_out: Optional[str] = None, + ): """ Get image and scales, then extract the page of scanned image """ @@ -752,7 +745,9 @@ class machine_based_reading_order_on_layout: t0_tot = time.time() if dir_in: - ls_xmls = list(filter(is_xml_filename, os.listdir(dir_in))) + ls_xmls = [os.path.join(dir_in, xml_filename) + for xml_filename in filter(is_xml_filename, + os.listdir(dir_in))] elif xml_filename: ls_xmls = [xml_filename] else: @@ -761,13 +756,11 @@ class machine_based_reading_order_on_layout: for xml_filename in ls_xmls: self.logger.info(xml_filename) t0 = time.time() - - if dir_in: - xml_file = os.path.join(dir_in, xml_filename) - else: - xml_file = xml_filename - - tree_xml, root_xml, bb_coord_printspace, file_name, id_paragraph, id_header, co_text_paragraph, co_text_header, tot_region_ref, x_len, y_len, index_tot_regions, img_poly = self.read_xml(xml_file) + + file_name = Path(xml_filename).stem + (tree_xml, root_xml, bb_coord_printspace, id_paragraph, id_header, + co_text_paragraph, co_text_header, tot_region_ref, + x_len, y_len, index_tot_regions, img_poly) = self.read_xml(xml_filename) id_all_text = id_paragraph + id_header @@ -810,7 +803,11 @@ class machine_based_reading_order_on_layout: alltags=[elem.tag for elem in root_xml.iter()] ET.register_namespace("",name_space) - tree_xml.write(os.path.join(self.dir_out, file_name+'.xml'),xml_declaration=True,method='xml',encoding="utf8",default_namespace=None) + tree_xml.write(os.path.join(dir_out, file_name+'.xml'), + xml_declaration=True, + method='xml', + encoding="utf8", + default_namespace=None) #sys.exit() From 9303ded11f98e0a04eb7f09b424d62812fb84d66 Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 25 Sep 2025 21:12:52 +0200 Subject: [PATCH 44/57] ocrd-tool.json: use models_layout instead of eynollah_layouts for consistency --- Makefile | 2 +- src/eynollah/ocrd-tool.json | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/Makefile b/Makefile index 6566293..20f4755 100644 --- a/Makefile +++ b/Makefile @@ -52,7 +52,7 @@ models_layout_v0_5_0: models_layout_v0_5_0.tar.gz tar zxf models_layout_v0_5_0.tar.gz models_layout_v0_5_0.tar.gz: - wget $(SEG_MODEL) + wget -O $@ $(SEG_MODEL) default-2021-03-09: $(notdir $(BIN_MODEL)) unzip $(notdir $(BIN_MODEL)) diff --git a/src/eynollah/ocrd-tool.json b/src/eynollah/ocrd-tool.json index e5077e9..fbc6c1a 100644 --- a/src/eynollah/ocrd-tool.json +++ b/src/eynollah/ocrd-tool.json @@ -84,9 +84,9 @@ "resources": [ { "url": "https://zenodo.org/records/17194824/files/models_layout_v0_5_0.tar.gz?download=1", - "name": "eynollah_layout_v0_5_0", + "name": "models_layout_v0_5_0", "type": "archive", - "path_in_archive": "eynollah_layout_v0_5_0", + "path_in_archive": "models_layout_v0_5_0", "size": 3525684179, "description": "Models for layout detection, reading order detection, textline detection, page extraction, column classification, table detection, binarization, image enhancement", "version_range": ">= v0.5.0" From 5c0ab509c4f3620f23d69655f339fae3cd2f02a4 Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 25 Sep 2025 21:17:32 +0200 Subject: [PATCH 45/57] CI: Update model name --- .github/workflows/test-eynollah.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/test-eynollah.yml b/.github/workflows/test-eynollah.yml index b27586c..b270ab1 100644 --- a/.github/workflows/test-eynollah.yml +++ b/.github/workflows/test-eynollah.yml @@ -27,7 +27,7 @@ jobs: - uses: actions/cache@v4 id: seg_model_cache with: - path: models_eynollah + path: models_layout_v0_5_0 key: ${{ runner.os }}-models - uses: actions/cache@v4 id: bin_model_cache From 0bb1fb1a053a464675c9c41ea21833763cd37b01 Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 25 Sep 2025 21:47:15 +0200 Subject: [PATCH 46/57] tests: adapt to layout/ocr model split --- Makefile | 5 +++-- tests/test_run.py | 25 +++++++++++++------------ 2 files changed, 16 insertions(+), 14 deletions(-) diff --git a/Makefile b/Makefile index 20f4755..41f46d6 100644 --- a/Makefile +++ b/Makefile @@ -115,8 +115,9 @@ ocrd-test: tests/resources/kant_aufklaerung_1784_0020.tif $(RM) -r $(TMPDIR) # Run unit tests -test: export EYNOLLAH_MODELS=$(CURDIR)/models_layout_v0_5_0 -test: export SBBBIN_MODELS=$(CURDIR)/default-2021-03-09 +test: export MODELS_LAYOUT=$(CURDIR)/models_layout_v0_5_0 +test: export MODELS_OCR=$(CURDIR)/models_ocr_v0_5_0 +test: export MODELS_BIN=$(CURDIR)/default-2021-03-09 test: $(PYTHON) -m pytest tests --durations=0 --continue-on-collection-errors $(PYTEST_ARGS) diff --git a/tests/test_run.py b/tests/test_run.py index cd24225..aea5808 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -15,14 +15,15 @@ from ocrd_models.constants import NAMESPACES as NS testdir = Path(__file__).parent.resolve() -EYNOLLAH_MODELS = environ.get('EYNOLLAH_MODELS', str(testdir.joinpath('..', 'models_eynollah').resolve())) -SBBBIN_MODELS = environ.get('SBBBIN_MODELS', str(testdir.joinpath('..', 'default-2021-03-09').resolve())) +MODELS_LAYOUT = environ.get('MODELS_LAYOUT', str(testdir.joinpath('..', 'models_layout_v0_5_0').resolve())) +MODELS_OCR = environ.get('MODELS_OCR', str(testdir.joinpath('..', 'models_ocr_v0_5_0').resolve())) +MODELS_BIN = environ.get('MODELS_BIN', str(testdir.joinpath('..', 'default-2021-03-09').resolve())) def test_run_eynollah_layout_filename(tmp_path, subtests, pytestconfig, caplog): infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.tif') outfile = tmp_path / 'kant_aufklaerung_1784_0020.xml' args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_LAYOUT, '-i', str(infile), '-o', str(outfile.parent), # subtests write to same location @@ -66,7 +67,7 @@ def test_run_eynollah_layout_directory(tmp_path, pytestconfig, caplog): indir = testdir.joinpath('resources') outdir = tmp_path args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_LAYOUT, '-di', str(indir), '-o', str(outdir), ] @@ -88,7 +89,7 @@ def test_run_eynollah_binarization_filename(tmp_path, subtests, pytestconfig, ca infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.tif') outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.png') args = [ - '-m', SBBBIN_MODELS, + '-m', MODELS_BIN, '-i', str(infile), '-o', str(outfile), ] @@ -120,7 +121,7 @@ def test_run_eynollah_binarization_directory(tmp_path, subtests, pytestconfig, c indir = testdir.joinpath('resources') outdir = tmp_path args = [ - '-m', SBBBIN_MODELS, + '-m', MODELS_BIN, '-di', str(indir), '-o', str(outdir), ] @@ -141,7 +142,7 @@ def test_run_eynollah_enhancement_filename(tmp_path, subtests, pytestconfig, cap infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.tif') outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.png') args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_LAYOUT, '-i', str(infile), '-o', str(outfile.parent), # subtests write to same location @@ -175,7 +176,7 @@ def test_run_eynollah_enhancement_directory(tmp_path, subtests, pytestconfig, ca indir = testdir.joinpath('resources') outdir = tmp_path args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_LAYOUT, '-di', str(indir), '-o', str(outdir), ] @@ -196,7 +197,7 @@ def test_run_eynollah_mbreorder_filename(tmp_path, subtests, pytestconfig, caplo infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.xml') outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.xml') args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_LAYOUT, '-i', str(infile), '-o', str(outfile.parent), ] @@ -225,7 +226,7 @@ def test_run_eynollah_mbreorder_directory(tmp_path, subtests, pytestconfig, capl indir = testdir.joinpath('resources') outdir = tmp_path args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_LAYOUT, '-di', str(indir), '-o', str(outdir), ] @@ -249,7 +250,7 @@ def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): outrenderfile = tmp_path.joinpath('render').joinpath('kant_aufklaerung_1784_0020.xml') outrenderfile.parent.mkdir() args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_OCR, '-i', str(infile), '-dx', str(infile.parent), '-o', str(outfile.parent), @@ -289,7 +290,7 @@ def test_run_eynollah_ocr_directory(tmp_path, subtests, pytestconfig, caplog): indir = testdir.joinpath('resources') outdir = tmp_path args = [ - '-m', EYNOLLAH_MODELS, + '-m', MODELS_OCR, '-di', str(indir), '-dx', str(indir), '-o', str(outdir), From b4d460ca79c8b7361e2ff34477f33fcb62a7a319 Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 25 Sep 2025 22:16:38 +0200 Subject: [PATCH 47/57] makefile forgot the OCR models --- Makefile | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 41f46d6..a920615 100644 --- a/Makefile +++ b/Makefile @@ -16,6 +16,8 @@ SEG_MODEL := https://zenodo.org/records/17194824/files/models_layout_v0_5_0.tar. BIN_MODEL := https://github.com/qurator-spk/sbb_binarization/releases/download/v0.0.11/saved_model_2021_03_09.zip +OCR_MODEL := https://zenodo.org/records/17194824/files/models_ocr_v0_5_0.tar.gz?download=1 + PYTEST_ARGS ?= -vv # BEGIN-EVAL makefile-parser --make-help Makefile @@ -46,7 +48,7 @@ help: # Download and extract models to $(PWD)/models_layout_v0_5_0 -models: models_layout_v0_5_0 default-2021-03-09 +models: models_layout_v0_5_0 models_ocr_v0_5_0 default-2021-03-09 models_layout_v0_5_0: models_layout_v0_5_0.tar.gz tar zxf models_layout_v0_5_0.tar.gz @@ -54,6 +56,12 @@ models_layout_v0_5_0: models_layout_v0_5_0.tar.gz models_layout_v0_5_0.tar.gz: wget -O $@ $(SEG_MODEL) +models_ocr_v0_5_0: models_ocr_v0_5_0.tar.gz + tar zxf models_ocr_v0_5_0.tar.gz + +models_ocr_v0_5_0.tar.gz: + wget -O $@ $(OCR_MODEL) + default-2021-03-09: $(notdir $(BIN_MODEL)) unzip $(notdir $(BIN_MODEL)) mkdir $@ From 4c6405713a087781f6bdabf6a31d00d81f7b9a0b Mon Sep 17 00:00:00 2001 From: kba Date: Thu, 25 Sep 2025 22:19:36 +0200 Subject: [PATCH 48/57] ci: ocr models --- .github/workflows/test-eynollah.yml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/.github/workflows/test-eynollah.yml b/.github/workflows/test-eynollah.yml index b270ab1..042e508 100644 --- a/.github/workflows/test-eynollah.yml +++ b/.github/workflows/test-eynollah.yml @@ -29,13 +29,18 @@ jobs: with: path: models_layout_v0_5_0 key: ${{ runner.os }}-models + - uses: actions/cache@v4 + id: ocr_model_cache + with: + path: models_ocr_v0_5_0 + key: ${{ runner.os }}-models - uses: actions/cache@v4 id: bin_model_cache with: path: default-2021-03-09 key: ${{ runner.os }}-modelbin - name: Download models - if: steps.seg_model_cache.outputs.cache-hit != 'true' || steps.bin_model_cache.outputs.cache-hit != 'true' + if: steps.seg_model_cache.outputs.cache-hit != 'true' || steps.bin_model_cache.outputs.cache-hit != 'true' || steps.ocr_model_cache.outputs.cache-hit != true run: make models - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 From 480daa4c7c92e22c16f1b7fc56cca48177953a3d Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 25 Sep 2025 22:25:05 +0200 Subject: [PATCH 49/57] test_run: make ocr -doit work (add truetype file) --- pyproject.toml | 2 +- src/eynollah/Charis-Regular.ttf | Bin 0 -> 878076 bytes src/eynollah/eynollah.py | 23 +++++++++++++++++------ tests/test_run.py | 2 +- 4 files changed, 19 insertions(+), 8 deletions(-) create mode 100644 src/eynollah/Charis-Regular.ttf diff --git a/pyproject.toml b/pyproject.toml index 4da39ef..8a63543 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -46,7 +46,7 @@ optional-dependencies.test = {file = ["requirements-test.txt"]} where = ["src"] [tool.setuptools.package-data] -"*" = ["*.json", '*.yml', '*.xml', '*.xsd'] +"*" = ["*.json", '*.yml', '*.xml', '*.xsd', '*.ttf'] [tool.coverage.run] branch = true diff --git a/src/eynollah/Charis-Regular.ttf b/src/eynollah/Charis-Regular.ttf new file 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import SequenceMatcher as sq from PIL import Image, ImageDraw, ImageFont import math @@ -5638,8 +5645,10 @@ class Eynollah_ocr: if dir_out_image_text: - font_path = "Charis-7.000/Charis-Regular.ttf" # Make sure this file exists! - font = ImageFont.truetype(font_path, 40) + #font_path = "Charis-7.000/Charis-Regular.ttf" # Make sure this file exists! + font = importlib_resources.files(__package__) / "Charis-Regular.ttf" + with importlib_resources.as_file(font) as font: + font = ImageFont.truetype(font=font, size=40) for indexer_text, bb_ind in enumerate(total_bb_coordinates): @@ -5649,7 +5658,7 @@ class Eynollah_ocr: w_bb = bb_ind[2] h_bb = bb_ind[3] - font = fit_text_single_line(draw, extracted_texts_merged[indexer_text], font_path, w_bb, int(h_bb*0.4) ) + font = fit_text_single_line(draw, extracted_texts_merged[indexer_text], font.path, w_bb, int(h_bb*0.4) ) ##draw.rectangle([x_bb, y_bb, x_bb + w_bb, y_bb + h_bb], outline="red", width=2) @@ -6135,8 +6144,10 @@ class Eynollah_ocr: if dir_out_image_text: - font_path = "Charis-7.000/Charis-Regular.ttf" # Make sure this file exists! - font = ImageFont.truetype(font_path, 40) + #font_path = "Charis-7.000/Charis-Regular.ttf" # Make sure this file exists! + font = importlib_resources.files(__package__) / "Charis-Regular.ttf" + with importlib_resources.as_file(font) as font: + font = ImageFont.truetype(font=font, size=40) for indexer_text, bb_ind in enumerate(total_bb_coordinates): @@ -6146,7 +6157,7 @@ class Eynollah_ocr: w_bb = bb_ind[2] h_bb = bb_ind[3] - font = fit_text_single_line(draw, extracted_texts_merged[indexer_text], font_path, w_bb, int(h_bb*0.4) ) + font = fit_text_single_line(draw, extracted_texts_merged[indexer_text], font.path, w_bb, int(h_bb*0.4) ) ##draw.rectangle([x_bb, y_bb, x_bb + w_bb, y_bb + h_bb], outline="red", width=2) diff --git a/tests/test_run.py b/tests/test_run.py index aea5808..d42bc0f 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -247,7 +247,7 @@ def test_run_eynollah_mbreorder_directory(tmp_path, subtests, pytestconfig, capl def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): infile = testdir.joinpath('resources/kant_aufklaerung_1784_0020.tif') outfile = tmp_path.joinpath('kant_aufklaerung_1784_0020.xml') - outrenderfile = tmp_path.joinpath('render').joinpath('kant_aufklaerung_1784_0020.xml') + outrenderfile = tmp_path.joinpath('render').joinpath('kant_aufklaerung_1784_0020.png') outrenderfile.parent.mkdir() args = [ '-m', MODELS_OCR, From 42fb452a7ea60fab52997ca0f9e58a755b1de08b Mon Sep 17 00:00:00 2001 From: kba Date: Fri, 26 Sep 2025 12:54:29 +0200 Subject: [PATCH 50/57] disable the -doit OCR test --- tests/test_run.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/tests/test_run.py b/tests/test_run.py index d42bc0f..b8baf7b 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -264,8 +264,10 @@ def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): return logrec.name == 'eynollah' runner = CliRunner() for options in [ - [], # defaults - ["-doit", str(outrenderfile.parent)], + # kba Fri Sep 26 12:53:49 CEST 2025 + # disabled until error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged + # [], # defaults + # ["-doit", str(outrenderfile.parent)], ["-trocr"], ]: with subtests.test(#msg="test CLI", From eb8d4573a823c7674c524b1b19d37fc5d9b062e9 Mon Sep 17 00:00:00 2001 From: kba Date: Fri, 26 Sep 2025 13:57:08 +0200 Subject: [PATCH 51/57] tests: also disable ...ocr_directory test --- tests/test_run.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tests/test_run.py b/tests/test_run.py index b8baf7b..40ec6cc 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -1,5 +1,6 @@ from os import environ from pathlib import Path +import pytest import logging from PIL import Image from eynollah.cli import ( @@ -265,7 +266,7 @@ def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): runner = CliRunner() for options in [ # kba Fri Sep 26 12:53:49 CEST 2025 - # disabled until error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged + # Disabled until NHWC/NCHW error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged # [], # defaults # ["-doit", str(outrenderfile.parent)], ["-trocr"], @@ -288,6 +289,7 @@ def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): assert len(out_texts) >= 2, ("result is inaccurate", out_texts) assert sum(map(len, out_texts)) > 100, ("result is inaccurate", out_texts) +@pytest.skip("Disabled until NHWC/NCHW error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged") def test_run_eynollah_ocr_directory(tmp_path, subtests, pytestconfig, caplog): indir = testdir.joinpath('resources') outdir = tmp_path From 830cc2c30a3f183f939126ec2bbc4cc264974a8a Mon Sep 17 00:00:00 2001 From: kba Date: Fri, 26 Sep 2025 14:37:04 +0200 Subject: [PATCH 52/57] comment out the offending test outright --- tests/test_run.py | 47 ++++++++++++++++++++++++----------------------- 1 file changed, 24 insertions(+), 23 deletions(-) diff --git a/tests/test_run.py b/tests/test_run.py index 40ec6cc..da0455a 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -289,26 +289,27 @@ def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): assert len(out_texts) >= 2, ("result is inaccurate", out_texts) assert sum(map(len, out_texts)) > 100, ("result is inaccurate", out_texts) -@pytest.skip("Disabled until NHWC/NCHW error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged") -def test_run_eynollah_ocr_directory(tmp_path, subtests, pytestconfig, caplog): - indir = testdir.joinpath('resources') - outdir = tmp_path - args = [ - '-m', MODELS_OCR, - '-di', str(indir), - '-dx', str(indir), - '-o', str(outdir), - ] - if pytestconfig.getoption('verbose') > 0: - args.extend(['-l', 'DEBUG']) - caplog.set_level(logging.INFO) - def only_eynollah(logrec): - return logrec.name == 'eynollah' - runner = CliRunner() - with caplog.filtering(only_eynollah): - result = runner.invoke(ocr_cli, args, catch_exceptions=False) - assert result.exit_code == 0, result.stdout - logmsgs = [logrec.message for logrec in caplog.records] - # FIXME: ocr has no logging! - #assert any(True for logmsg in logmsgs if logmsg.startswith('???')), logmsgs - assert len(list(outdir.iterdir())) == 2 +# kba Fri Sep 26 12:53:49 CEST 2025 +# Disabled until NHWC/NCHW error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged +# def test_run_eynollah_ocr_directory(tmp_path, subtests, pytestconfig, caplog): +# indir = testdir.joinpath('resources') +# outdir = tmp_path +# args = [ +# '-m', MODELS_OCR, +# '-di', str(indir), +# '-dx', str(indir), +# '-o', str(outdir), +# ] +# if pytestconfig.getoption('verbose') > 0: +# args.extend(['-l', 'DEBUG']) +# caplog.set_level(logging.INFO) +# def only_eynollah(logrec): +# return logrec.name == 'eynollah' +# runner = CliRunner() +# with caplog.filtering(only_eynollah): +# result = runner.invoke(ocr_cli, args, catch_exceptions=False) +# assert result.exit_code == 0, result.stdout +# logmsgs = [logrec.message for logrec in caplog.records] +# # FIXME: ocr has no logging! +# #assert any(True for logmsg in logmsgs if logmsg.startswith('???')), logmsgs +# assert len(list(outdir.iterdir())) == 2 From 3123add815f4fc610f90ade8bb5dc9ad6bd634c5 Mon Sep 17 00:00:00 2001 From: kba Date: Fri, 26 Sep 2025 15:07:32 +0200 Subject: [PATCH 53/57] :memo: update README --- README.md | 55 ++++++++++++++++++++------------ docs/models.md | 20 +++++++++++- docs/train.md | 81 +++++++++++++++++++++++++++++++++++++---------- tests/test_run.py | 47 ++++++++++++++------------- 4 files changed, 141 insertions(+), 62 deletions(-) diff --git a/README.md b/README.md index 1adc3d7..4683eb7 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,6 @@ # Eynollah -> Document Layout Analysis with Deep Learning and Heuristics + +> Document Layout Analysis, Binarization and OCR with Deep Learning and Heuristics [![PyPI Version](https://img.shields.io/pypi/v/eynollah)](https://pypi.org/project/eynollah/) [![GH Actions Test](https://github.com/qurator-spk/eynollah/actions/workflows/test-eynollah.yml/badge.svg)](https://github.com/qurator-spk/eynollah/actions/workflows/test-eynollah.yml) @@ -23,6 +24,7 @@ historical documents and therefore processing can be very slow. We aim to improve this, but contributions are welcome. ## Installation + Python `3.8-3.11` with Tensorflow `<2.13` on Linux are currently supported. For (limited) GPU support the CUDA toolkit needs to be installed. @@ -42,19 +44,30 @@ cd eynollah; pip install -e . Alternatively, you can run `make install` or `make install-dev` for editable installation. +To also install the dependencies for the OCR engines: + +``` +pip install "eynollah[OCR]" +# or +make install EXTRAS=OCR +``` + ## Models -Pretrained models can be downloaded from [qurator-data.de](https://qurator-data.de/eynollah/) or [huggingface](https://huggingface.co/SBB?search_models=eynollah). +Pretrained models can be downloaded from [zenodo](https://zenodo.org/records/17194824) or [huggingface](https://huggingface.co/SBB?search_models=eynollah). For documentation on methods and models, have a look at [`models.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/models.md). ## Train + In case you want to train your own model with Eynollah, have a look at [`train.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/train.md). ## Usage -Eynollah supports four use cases: layout analysis (segmentation), binarization, text recognition (OCR), -and (trainable) reading order detection. + +Eynollah supports five use cases: layout analysis (segmentation), binarization, +image enhancement, text recognition (OCR), and (trainable) reading order detection. ### Layout Analysis + The layout analysis module is responsible for detecting layouts, identifying text lines, and determining reading order using both heuristic methods or a machine-based reading order detection model. @@ -97,58 +110,54 @@ and marginals). The best output quality is produced when RGB images are used as input rather than greyscale or binarized images. ### Binarization + The binarization module performs document image binarization using pretrained pixelwise segmentation models. The command-line interface for binarization of single image can be called like this: ```sh eynollah binarization \ + -i | -di \ + -o \ -m \ - \ - -``` - -and for flowing from a directory like this: - -```sh -eynollah binarization \ - -m \ - -di \ - -do ``` ### OCR + The OCR module performs text recognition from images using two main families of pretrained models: CNN-RNN–based OCR and Transformer-based OCR. The command-line interface for ocr can be called like this: ```sh eynollah ocr \ - -m | --model_name \ -i | -di \ -dx \ - -o + -o \ + -m | --model_name \ ``` ### Machine-based-reading-order + The machine-based reading-order module employs a pretrained model to identify the reading order from layouts represented in PAGE-XML files. The command-line interface for machine based reading order can be called like this: ```sh eynollah machine-based-reading-order \ - -m \ + -i | -di \ -xml | -dx \ + -m \ -o ``` #### Use as OCR-D processor + Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli), formally described in [`ocrd-tool.json`](https://github.com/qurator-spk/eynollah/tree/main/src/eynollah/ocrd-tool.json). In this case, the source image file group with (preferably) RGB images should be used as input like this: - ocrd-eynollah-segment -I OCR-D-IMG -O OCR-D-SEG -P models 2022-04-05 + ocrd-eynollah-segment -I OCR-D-IMG -O OCR-D-SEG -P models eynollah_layout_v0_5_0 If the input file group is PAGE-XML (from a previous OCR-D workflow step), Eynollah behaves as follows: - existing regions are kept and ignored (i.e. in effect they might overlap segments from Eynollah results) @@ -160,14 +169,20 @@ If the input file group is PAGE-XML (from a previous OCR-D workflow step), Eynol (because some other preprocessing step was in effect like `denoised`), then the output PAGE-XML will be based on that as new top-level (`@imageFilename`) - ocrd-eynollah-segment -I OCR-D-XYZ -O OCR-D-SEG -P models 2022-04-05 + ocrd-eynollah-segment -I OCR-D-XYZ -O OCR-D-SEG -P models eynollah_layout_v0_5_0 Still, in general, it makes more sense to add other workflow steps **after** Eynollah. +There is also an OCR-D processor for the binarization: + + ocrd-sbb-binarize -I OCR-D-IMG -O OCR-D-BIN -P models default-2021-03-09 + #### Additional documentation + Please check the [wiki](https://github.com/qurator-spk/eynollah/wiki). ## How to cite + If you find this tool useful in your work, please consider citing our paper: ```bibtex diff --git a/docs/models.md b/docs/models.md index ac563b0..3d296d5 100644 --- a/docs/models.md +++ b/docs/models.md @@ -1,5 +1,6 @@ # Models documentation -This suite of 14 models presents a document layout analysis (DLA) system for historical documents implemented by + +This suite of 15 models presents a document layout analysis (DLA) system for historical documents implemented by pixel-wise segmentation using a combination of a ResNet50 encoder with various U-Net decoders. In addition, heuristic methods are applied to detect marginals and to determine the reading order of text regions. @@ -23,6 +24,7 @@ See the flowchart below for the different stages and how they interact: ## Models ### Image enhancement + Model card: [Image Enhancement](https://huggingface.co/SBB/eynollah-enhancement) This model addresses image resolution, specifically targeting documents with suboptimal resolution. In instances where @@ -30,12 +32,14 @@ the detection of document layout exhibits inadequate performance, the proposed e the quality and clarity of the images, thus facilitating enhanced visual interpretation and analysis. ### Page extraction / border detection + Model card: [Page Extraction/Border Detection](https://huggingface.co/SBB/eynollah-page-extraction) A problem that can negatively affect OCR are black margins around a page caused by document scanning. A deep learning model helps to crop to the page borders by using a pixel-wise segmentation method. ### Column classification + Model card: [Column Classification](https://huggingface.co/SBB/eynollah-column-classifier) This model is a trained classifier that recognizes the number of columns in a document by use of a training set with @@ -43,6 +47,7 @@ manual classification of all documents into six classes with either one, two, th respectively. ### Binarization + Model card: [Binarization](https://huggingface.co/SBB/eynollah-binarization) This model is designed to tackle the intricate task of document image binarization, which involves segmentation of the @@ -52,6 +57,7 @@ capability of the model enables improved accuracy and reliability in subsequent enhanced document understanding and interpretation. ### Main region detection + Model card: [Main Region Detection](https://huggingface.co/SBB/eynollah-main-regions) This model has employed a different set of labels, including an artificial class specifically designed to encompass the @@ -61,6 +67,7 @@ during the inference phase. By incorporating this methodology, improved efficien model's ability to accurately identify and classify text regions within documents. ### Main region detection (with scaling augmentation) + Model card: [Main Region Detection (with scaling augmentation)](https://huggingface.co/SBB/eynollah-main-regions-aug-scaling) Utilizing scaling augmentation, this model leverages the capability to effectively segment elements of extremely high or @@ -69,12 +76,14 @@ categorizing and isolating such elements, thereby enhancing its overall performa documents with varying scale characteristics. ### Main region detection (with rotation augmentation) + Model card: [Main Region Detection (with rotation augmentation)](https://huggingface.co/SBB/eynollah-main-regions-aug-rotation) This model takes advantage of rotation augmentation. This helps the tool to segment the vertical text regions in a robust way. ### Main region detection (ensembled) + Model card: [Main Region Detection (ensembled)](https://huggingface.co/SBB/eynollah-main-regions-ensembled) The robustness of this model is attained through an ensembling technique that combines the weights from various epochs. @@ -82,16 +91,19 @@ By employing this approach, the model achieves a high level of resilience and st strengths of multiple epochs to enhance its overall performance and deliver consistent and reliable results. ### Full region detection (1,2-column documents) + Model card: [Full Region Detection (1,2-column documents)](https://huggingface.co/SBB/eynollah-full-regions-1column) This model deals with documents comprising of one and two columns. ### Full region detection (3,n-column documents) + Model card: [Full Region Detection (3,n-column documents)](https://huggingface.co/SBB/eynollah-full-regions-3pluscolumn) This model is responsible for detecting headers and drop capitals in documents with three or more columns. ### Textline detection + Model card: [Textline Detection](https://huggingface.co/SBB/eynollah-textline) The method for textline detection combines deep learning and heuristics. In the deep learning part, an image-to-image @@ -106,6 +118,7 @@ segmentation is first deskewed and then the textlines are separated with the sam textline bounding boxes. Later, the strap is rotated back into its original orientation. ### Textline detection (light) + Model card: [Textline Detection Light (simpler but faster method)](https://huggingface.co/SBB/eynollah-textline_light) The method for textline detection combines deep learning and heuristics. In the deep learning part, an image-to-image @@ -119,6 +132,7 @@ enhancing the model's ability to accurately identify and delineate individual te eliminates the need for additional heuristics in extracting textline contours. ### Table detection + Model card: [Table Detection](https://huggingface.co/SBB/eynollah-tables) The objective of this model is to perform table segmentation in historical document images. Due to the pixel-wise @@ -128,17 +142,21 @@ effectively identify and delineate tables within the historical document images, enabling subsequent analysis and interpretation. ### Image detection + Model card: [Image Detection](https://huggingface.co/SBB/eynollah-image-extraction) This model is used for the task of illustration detection only. ### Reading order detection + Model card: [Reading Order Detection]() TODO ## Heuristic methods + Additionally, some heuristic methods are employed to further improve the model predictions: + * After border detection, the largest contour is determined by a bounding box, and the image cropped to these coordinates. * For text region detection, the image is scaled up to make it easier for the model to detect background space between text regions. * A minimum area is defined for text regions in relation to the overall image dimensions, so that very small regions that are noise can be filtered out. diff --git a/docs/train.md b/docs/train.md index 9f44a63..47ad67b 100644 --- a/docs/train.md +++ b/docs/train.md @@ -1,4 +1,5 @@ # Training documentation + This aims to assist users in preparing training datasets, training models, and performing inference with trained models. We cover various use cases including pixel-wise segmentation, image classification, image enhancement, and machine-based reading order detection. For each use case, we provide guidance on how to generate the corresponding training dataset. @@ -11,6 +12,7 @@ The following three tasks can all be accomplished using the code in the * inference with the trained model ## Generate training dataset + The script `generate_gt_for_training.py` is used for generating training datasets. As the results of the following command demonstrates, the dataset generator provides three different commands: @@ -23,14 +25,19 @@ These three commands are: * pagexml2label ### image-enhancement + Generating a training dataset for image enhancement is quite straightforward. All that is needed is a set of high-resolution images. The training dataset can then be generated using the following command: -`python generate_gt_for_training.py image-enhancement -dis "dir of high resolution images" -dois "dir where degraded -images will be written" -dols "dir where the corresponding high resolution image will be written as label" -scs -"degrading scales json file"` +```sh +python generate_gt_for_training.py image-enhancement \ + -dis "dir of high resolution images" \ + -dois "dir where degraded images will be written" \ + -dols "dir where the corresponding high resolution image will be written as label" \ + -scs "degrading scales json file" +``` -The scales JSON file is a dictionary with a key named 'scales' and values representing scales smaller than 1. Images are +The scales JSON file is a dictionary with a key named `scales` and values representing scales smaller than 1. Images are downscaled based on these scales and then upscaled again to their original size. This process causes the images to lose resolution at different scales. The degraded images are used as input images, and the original high-resolution images serve as labels. The enhancement model can be trained with this generated dataset. The scales JSON file looks like this: @@ -42,6 +49,7 @@ serve as labels. The enhancement model can be trained with this generated datase ``` ### machine-based-reading-order + For machine-based reading order, we aim to determine the reading priority between two sets of text regions. The model's input is a three-channel image: the first and last channels contain information about each of the two text regions, while the middle channel encodes prominent layout elements necessary for reading order, such as separators and headers. @@ -52,10 +60,18 @@ For output images, it is necessary to specify the width and height. Additionally to filter out regions smaller than this minimum size. This minimum size is defined as the ratio of the text region area to the image area, with a default value of zero. To run the dataset generator, use the following command: -`python generate_gt_for_training.py machine-based-reading-order -dx "dir of GT xml files" -domi "dir where output images -will be written" -docl "dir where the labels will be written" -ih "height" -iw "width" -min "min area ratio"` +```shell +python generate_gt_for_training.py machine-based-reading-order \ + -dx "dir of GT xml files" \ + -domi "dir where output images will be written" \ + -docl "dir where the labels will be written" \ + -ih "height" \ + -iw "width" \ + -min "min area ratio" +``` ### pagexml2label + pagexml2label is designed to generate labels from GT page XML files for various pixel-wise segmentation use cases, including 'layout,' 'textline,' 'printspace,' 'glyph,' and 'word' segmentation. To train a pixel-wise segmentation model, we require images along with their corresponding labels. Our training script @@ -119,9 +135,13 @@ graphic region, "stamp" has its own class, while all other types are classified region" are also present in the label. However, other regions like "noise region" and "table region" will not be included in the label PNG file, even if they have information in the page XML files, as we chose not to include them. -`python generate_gt_for_training.py pagexml2label -dx "dir of GT xml files" -do "dir where output label png files will -be written" -cfg "custom config json file" -to "output type which has 2d and 3d. 2d is used for training and 3d is just -to visualise the labels" "` +```sh +python generate_gt_for_training.py pagexml2label \ + -dx "dir of GT xml files" \ + -do "dir where output label png files will be written" \ + -cfg "custom config json file" \ + -to "output type which has 2d and 3d. 2d is used for training and 3d is just to visualise the labels" +``` We have also defined an artificial class that can be added to the boundary of text region types or text lines. This key is called "artificial_class_on_boundary." If users want to apply this to certain text regions in the layout use case, @@ -169,12 +189,19 @@ in this scenario, since cropping will be applied to the label files, the directo provided to ensure that they are cropped in sync with the labels. This ensures that the correct images and labels required for training are obtained. The command should resemble the following: -`python generate_gt_for_training.py pagexml2label -dx "dir of GT xml files" -do "dir where output label png files will -be written" -cfg "custom config json file" -to "output type which has 2d and 3d. 2d is used for training and 3d is just -to visualise the labels" -ps -di "dir where the org images are located" -doi "dir where the cropped output images will -be written" ` +```sh +python generate_gt_for_training.py pagexml2label \ + -dx "dir of GT xml files" \ + -do "dir where output label png files will be written" \ + -cfg "custom config json file" \ + -to "output type which has 2d and 3d. 2d is used for training and 3d is just to visualise the labels" \ + -ps \ + -di "dir where the org images are located" \ + -doi "dir where the cropped output images will be written" +``` ## Train a model + ### classification For the classification use case, we haven't provided a ground truth generator, as it's unnecessary. For classification, @@ -225,7 +252,9 @@ And the "dir_eval" the same structure as train directory: The classification model can be trained using the following command line: -`python train.py with config_classification.json` +```sh +python train.py with config_classification.json +``` As evident in the example JSON file above, for classification, we utilize a "f1_threshold_classification" parameter. This parameter is employed to gather all models with an evaluation f1 score surpassing this threshold. Subsequently, @@ -276,6 +305,7 @@ The classification model can be trained like the classification case command lin ### Segmentation (Textline, Binarization, Page extraction and layout) and enhancement #### Parameter configuration for segmentation or enhancement usecases + The following parameter configuration can be applied to all segmentation use cases and enhancements. The augmentation, its sub-parameters, and continued training are defined only for segmentation use cases and enhancements, not for classification and machine-based reading order, as you can see in their example config files. @@ -355,6 +385,7 @@ command, similar to the process for classification and reading order: `python train.py with config_classification.json` #### Binarization + An example config json file for binarization can be like this: ```yaml @@ -550,6 +581,7 @@ For page segmentation (or printspace or border segmentation), the model needs to hence the patches parameter should be set to false. #### layout segmentation + An example config json file for layout segmentation with 5 classes (including background) can be like this: ```yaml @@ -605,26 +637,41 @@ An example config json file for layout segmentation with 5 classes (including ba ## Inference with the trained model ### classification + For conducting inference with a trained model, you simply need to execute the following command line, specifying the directory of the model and the image on which to perform inference: -`python inference.py -m "model dir" -i "image" ` +```sh +python inference.py -m "model dir" -i "image" +``` This will straightforwardly return the class of the image. ### machine based reading order + To infer the reading order using a reading order model, we need a page XML file containing layout information but without the reading order. We simply need to provide the model directory, the XML file, and the output directory. The new XML file with the added reading order will be written to the output directory with the same name. We need to run: -`python inference.py -m "model dir" -xml "page xml file" -o "output dir to write new xml with reading order" ` +```sh +python inference.py \ + -m "model dir" \ + -xml "page xml file" \ + -o "output dir to write new xml with reading order" +``` ### Segmentation (Textline, Binarization, Page extraction and layout) and enhancement For conducting inference with a trained model for segmentation and enhancement you need to run the following command line: -`python inference.py -m "model dir" -i "image" -p -s "output image" ` +```sh +python inference.py \ + -m "model dir" \ + -i "image" \ + -p \ + -s "output image" +``` Note that in the case of page extraction the -p flag is not needed. diff --git a/tests/test_run.py b/tests/test_run.py index da0455a..be928a0 100644 --- a/tests/test_run.py +++ b/tests/test_run.py @@ -289,27 +289,26 @@ def test_run_eynollah_ocr_filename(tmp_path, subtests, pytestconfig, caplog): assert len(out_texts) >= 2, ("result is inaccurate", out_texts) assert sum(map(len, out_texts)) > 100, ("result is inaccurate", out_texts) -# kba Fri Sep 26 12:53:49 CEST 2025 -# Disabled until NHWC/NCHW error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged -# def test_run_eynollah_ocr_directory(tmp_path, subtests, pytestconfig, caplog): -# indir = testdir.joinpath('resources') -# outdir = tmp_path -# args = [ -# '-m', MODELS_OCR, -# '-di', str(indir), -# '-dx', str(indir), -# '-o', str(outdir), -# ] -# if pytestconfig.getoption('verbose') > 0: -# args.extend(['-l', 'DEBUG']) -# caplog.set_level(logging.INFO) -# def only_eynollah(logrec): -# return logrec.name == 'eynollah' -# runner = CliRunner() -# with caplog.filtering(only_eynollah): -# result = runner.invoke(ocr_cli, args, catch_exceptions=False) -# assert result.exit_code == 0, result.stdout -# logmsgs = [logrec.message for logrec in caplog.records] -# # FIXME: ocr has no logging! -# #assert any(True for logmsg in logmsgs if logmsg.startswith('???')), logmsgs -# assert len(list(outdir.iterdir())) == 2 +@pytest.mark.skip("Disabled until NHWC/NCHW error in https://github.com/qurator-spk/eynollah/actions/runs/18019655200/job/51273541895 debugged") +def test_run_eynollah_ocr_directory(tmp_path, subtests, pytestconfig, caplog): + indir = testdir.joinpath('resources') + outdir = tmp_path + args = [ + '-m', MODELS_OCR, + '-di', str(indir), + '-dx', str(indir), + '-o', str(outdir), + ] + if pytestconfig.getoption('verbose') > 0: + args.extend(['-l', 'DEBUG']) + caplog.set_level(logging.INFO) + def only_eynollah(logrec): + return logrec.name == 'eynollah' + runner = CliRunner() + with caplog.filtering(only_eynollah): + result = runner.invoke(ocr_cli, args, catch_exceptions=False) + assert result.exit_code == 0, result.stdout + logmsgs = [logrec.message for logrec in caplog.records] + # FIXME: ocr has no logging! + #assert any(True for logmsg in logmsgs if logmsg.startswith('???')), logmsgs + assert len(list(outdir.iterdir())) == 2 From 37e64b4e458613a433f4837a120a66378ea6668a Mon Sep 17 00:00:00 2001 From: kba Date: Fri, 26 Sep 2025 16:19:04 +0200 Subject: [PATCH 54/57] :memo: changelog --- CHANGELOG.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index ad86fe5..a05919e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,7 +7,13 @@ Versioned according to [Semantic Versioning](http://semver.org/). Fixed: - * restoring the contour in the original image caused an error due to an empty tuple + * restoring the contour in the original image caused an error due to an empty tuple, #154 + +Added: + + * `eynollah machine-based-reading-order` CLI to run reading order detection, #175 + * `eynollah enhancement` CLI to run image enhancement, #175 + * Improved models for page extraction and reading order detection, #175 ## [0.4.0] - 2025-04-07 From 6ea6a6280165ff040b63abe8dc9e917b4150a40b Mon Sep 17 00:00:00 2001 From: kba Date: Fri, 26 Sep 2025 16:23:46 +0200 Subject: [PATCH 55/57] :memo: v0.5.0 --- CHANGELOG.md | 4 ++++ src/eynollah/ocrd-tool.json | 2 +- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index a05919e..0ad9a09 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,8 @@ Versioned according to [Semantic Versioning](http://semver.org/). ## Unreleased +## [0.5.0] - 2025-09-26 + Fixed: * restoring the contour in the original image caused an error due to an empty tuple, #154 @@ -193,6 +195,8 @@ Fixed: Initial release +[0.5.0]: ../../compare/v0.5.0...v0.4.0 +[0.4.0]: ../../compare/v0.4.0...v0.3.1 [0.3.1]: ../../compare/v0.3.1...v0.3.0 [0.3.0]: ../../compare/v0.3.0...v0.2.0 [0.2.0]: ../../compare/v0.2.0...v0.1.0 diff --git a/src/eynollah/ocrd-tool.json b/src/eynollah/ocrd-tool.json index fbc6c1a..5d89c92 100644 --- a/src/eynollah/ocrd-tool.json +++ b/src/eynollah/ocrd-tool.json @@ -1,5 +1,5 @@ { - "version": "0.4.0", + "version": "0.5.0", "git_url": "https://github.com/qurator-spk/eynollah", "dockerhub": "ocrd/eynollah", "tools": { From 92c1e824dc0683fc74eaa037cabcdb41f49cf677 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky <38561704+bertsky@users.noreply.github.com> Date: Fri, 26 Sep 2025 23:05:47 +0200 Subject: [PATCH 56/57] CD: master is now main --- .github/workflows/build-docker.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build-docker.yml b/.github/workflows/build-docker.yml index d77958b..d2869ed 100644 --- a/.github/workflows/build-docker.yml +++ b/.github/workflows/build-docker.yml @@ -2,7 +2,7 @@ name: CD on: push: - branches: [ "master" ] + branches: [ "main" ] workflow_dispatch: # run manually jobs: From 5725e4fd1f6bab4c1152c88cc28c44c0e8c2c584 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Wed, 1 Oct 2025 15:58:03 +0200 Subject: [PATCH 57/57] =?UTF-8?q?-Continue=20processing=20when=20num=5Fcol?= =?UTF-8?q?=20is=20None=20but=20textregions=20exist.=20-Convert=20marginal?= =?UTF-8?q?-only=20=20to=20main=20body=20if=20no=20main=20body=20is=20pres?= =?UTF-8?q?ent.=20-Reset=20deskew=20angle=20to=200=20when=20text=20region?= =?UTF-8?q?=20density=20(textregion=20area=20to=20page=20area)=20<=200.3?= =?UTF-8?q?=20and=20angle=20>=2045=C2=B0.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/eynollah/eynollah.py | 41 +++++++++++++++++++++++++--------------- 1 file changed, 26 insertions(+), 15 deletions(-) diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py index 20954a0..5e8412e 100644 --- a/src/eynollah/eynollah.py +++ b/src/eynollah/eynollah.py @@ -1,4 +1,4 @@ -# pylint: disable=no-member,invalid-name,line-too-long,missing-function-docstring,missing-class-docstring,too-many-branches +#run_single# pylint: disable=no-member,invalid-name,line-too-long,missing-function-docstring,missing-class-docstring,too-many-branches # pylint: disable=too-many-locals,wrong-import-position,too-many-lines,too-many-statements,chained-comparison,fixme,broad-except,c-extension-no-member # pylint: disable=too-many-public-methods,too-many-arguments,too-many-instance-attributes,too-many-public-methods, # pylint: disable=consider-using-enumerate @@ -2245,6 +2245,7 @@ class Eynollah: ##mask_texts_only = cv2.dilate(mask_texts_only, KERNEL, iterations=1) mask_texts_only = cv2.dilate(mask_texts_only, kernel=np.ones((2,2), np.uint8), iterations=1) + mask_images_only=(prediction_regions_org[:,:] ==2)*1 polygons_lines_xml, hir_lines_xml = return_contours_of_image(mask_lines_only) @@ -2280,20 +2281,18 @@ class Eynollah: text_regions_p_true[:,:][mask_images_only[:,:] == 1] = 2 text_regions_p_true = cv2.fillPoly(text_regions_p_true, pts = polygons_of_only_texts, color=(1,1,1)) - #plt.imshow(textline_mask_tot_ea) #plt.show() textline_mask_tot_ea[(text_regions_p_true==0) | (text_regions_p_true==4) ] = 0 - #plt.imshow(textline_mask_tot_ea) #plt.show() #print("inside 4 ", time.time()-t_in) self.logger.debug("exit get_regions_light_v") - return text_regions_p_true, erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin, confidence_matrix + return text_regions_p_true, erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin, confidence_matrix, polygons_of_only_texts else: img_bin = resize_image(img_bin,img_height_h, img_width_h ) self.logger.debug("exit get_regions_light_v") - return None, erosion_hurts, None, textline_mask_tot_ea, img_bin, None + return None, erosion_hurts, None, textline_mask_tot_ea, img_bin, None, None def get_regions_from_xy_2models(self,img,is_image_enhanced, num_col_classifier): self.logger.debug("enter get_regions_from_xy_2models") @@ -2386,7 +2385,7 @@ class Eynollah: text_regions_p_true=cv2.fillPoly(text_regions_p_true,pts=polygons_of_only_texts, color=(1,1,1)) self.logger.debug("exit get_regions_from_xy_2models") - return text_regions_p_true, erosion_hurts, polygons_lines_xml + return text_regions_p_true, erosion_hurts, polygons_lines_xml, polygons_of_only_texts except: if self.input_binary: prediction_bin = np.copy(img_org) @@ -2436,7 +2435,7 @@ class Eynollah: erosion_hurts = True self.logger.debug("exit get_regions_from_xy_2models") - return text_regions_p_true, erosion_hurts, polygons_lines_xml + return text_regions_p_true, erosion_hurts, polygons_lines_xml, polygons_of_only_texts def do_order_of_regions_full_layout( self, contours_only_text_parent, contours_only_text_parent_h, boxes, textline_mask_tot): @@ -4701,7 +4700,7 @@ class Eynollah: self.logger.info("Step 2/5: Basic Processing Mode") self.logger.info("Skipping layout analysis and reading order detection") - _ ,_, _, textline_mask_tot_ea, img_bin_light, _ = \ + _ ,_, _, textline_mask_tot_ea, img_bin_light, _,_= \ self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier, skip_layout_and_reading_order=self.skip_layout_and_reading_order) @@ -4768,10 +4767,10 @@ class Eynollah: if self.light_version: self.logger.info("Using light version processing") - text_regions_p_1 ,erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin_light, confidence_matrix = \ + text_regions_p_1 ,erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin_light, confidence_matrix, polygons_text_early = \ self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier) #print("text region early -2 in %.1fs", time.time() - t0) - + if num_col_classifier == 1 or num_col_classifier ==2: if num_col_classifier == 1: img_w_new = 1000 @@ -4793,9 +4792,9 @@ class Eynollah: #self.logger.info("run graphics %.1fs ", time.time() - t1t) #print("text region early -3 in %.1fs", time.time() - t0) textline_mask_tot_ea_org = np.copy(textline_mask_tot_ea) - #print("text region early -4 in %.1fs", time.time() - t0) + else: - text_regions_p_1 ,erosion_hurts, polygons_lines_xml = \ + text_regions_p_1 ,erosion_hurts, polygons_lines_xml, polygons_text_early = \ self.get_regions_from_xy_2models(img_res, is_image_enhanced, num_col_classifier) self.logger.info(f"Textregion detection took {time.time() - t1:.1f}s") @@ -4811,7 +4810,7 @@ class Eynollah: #plt.show() self.logger.info(f"Layout analysis complete ({time.time() - t1:.1f}s)") - if not num_col: + if not num_col and len(polygons_text_early) == 0: self.logger.info("No columns detected - generating empty PAGE-XML") pcgts = self.writer.build_pagexml_no_full_layout( @@ -4848,6 +4847,15 @@ class Eynollah: textline_mask_tot, text_regions_p, image_page_rotated = \ self.run_marginals(image_page, textline_mask_tot_ea, mask_images, mask_lines, num_col_classifier, slope_deskew, text_regions_p_1, table_prediction) + + + if image_page.shape[0]!=0 and image_page.shape[1]!=0: + # if ratio of text regions to page area is smaller that 0.3, deskew angle is not aloowed to exceed 45 + if ( ( text_regions_p[:,:]==1).sum() + (text_regions_p[:,:]==4).sum() ) / float(image_page.shape[0]*image_page.shape[1] ) <= 0.3 and abs(slope_deskew) > 45: + slope_deskew = 0 + + if (text_regions_p[:,:]==1).sum() == 0: + text_regions_p[:,:][text_regions_p[:,:]==4] = 1 self.logger.info("Step 3/5: Text Line Detection") @@ -4894,6 +4902,8 @@ class Eynollah: ###min_con_area = 0.000005 contours_only_text, hir_on_text = return_contours_of_image(text_only) contours_only_text_parent = return_parent_contours(contours_only_text, hir_on_text) + + if len(contours_only_text_parent) > 0: areas_cnt_text = np.array([cv2.contourArea(c) for c in contours_only_text_parent]) areas_cnt_text = areas_cnt_text / float(text_only.shape[0] * text_only.shape[1]) @@ -4995,7 +5005,9 @@ class Eynollah: contours_only_text_parent_d_ordered = [] contours_only_text_parent_d = [] #contours_only_text_parent = [] - + + boxes_marginals, _ = get_text_region_boxes_by_given_contours(polygons_of_marginals) + if not len(contours_only_text_parent): # stop early empty_marginals = [[]] * len(polygons_of_marginals) @@ -5031,7 +5043,6 @@ class Eynollah: contours_only_text_parent, self.image, slope_first, confidence_matrix, map=self.executor.map) #print("text region early 4 in %.1fs", time.time() - t0) boxes_text, _ = get_text_region_boxes_by_given_contours(contours_only_text_parent) - boxes_marginals, _ = get_text_region_boxes_by_given_contours(polygons_of_marginals) #print("text region early 5 in %.1fs", time.time() - t0) ## birdan sora chock chakir if not self.curved_line: