mirror of
https://github.com/qurator-spk/eynollah.git
synced 2026-02-20 16:32:03 +01:00
fixed: textline and text correct extraction for page xml if vertical textlines are excluded + textline and text extraction for page alto files
This commit is contained in:
vahidrezanezhad
parent
fbf252db13
commit
a57914a68a
1 changed files with 145 additions and 47 deletions
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@ -50,6 +50,18 @@ from ..utils import is_image_filename
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is_flag=True,
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help="if this parameter set to true, cropped textline images will not be masked with textline contour.",
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)
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@click.option(
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"--exclude_vertical_lines",
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"-exv",
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is_flag=True,
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help="if this parameter set to true, vertical textline images will be excluded.",
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)
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@click.option(
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"--page_alto",
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"-alto",
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is_flag=True,
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help="If this parameter is set to True, text line image cropping and text extraction are performed using PAGE/ALTO files. Otherwise, the default method for PAGE XML files is used.",
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)
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def linegt_cli(
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image,
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dir_in,
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@ -57,6 +69,8 @@ def linegt_cli(
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dir_out,
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pref_of_dataset,
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do_not_mask_with_textline_contour,
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exclude_vertical_lines,
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page_alto,
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):
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assert bool(dir_in) ^ bool(image), "Set --dir-in or --image-filename, not both"
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if dir_in:
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@ -70,65 +84,149 @@ def linegt_cli(
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for dir_img in ls_imgs:
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file_name = Path(dir_img).stem
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dir_xml = os.path.join(dir_xmls, file_name + '.xml')
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img = cv2.imread(dir_img)
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total_bb_coordinates = []
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if page_alto:
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h, w = img.shape[:2]
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tree1 = ET.parse(dir_xml, parser=ET.XMLParser(encoding="utf-8"))
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root1 = tree1.getroot()
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alltags = [elem.tag for elem in root1.iter()]
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tree = ET.parse(dir_xml)
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root = tree.getroot()
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name_space = alltags[0].split('}')[0]
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name_space = name_space.split('{')[1]
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NS = {"alto": "http://www.loc.gov/standards/alto/ns-v4#"}
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region_tags = np.unique([x for x in alltags if x.endswith('TextRegion')])
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results = []
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cropped_lines_region_indexer = []
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indexer_textlines = 0
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for line in root.findall(".//alto:TextLine", NS):
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string_el = line.find("alto:String", NS)
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textline_text = string_el.attrib["CONTENT"] if string_el is not None else None
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indexer_text_region = 0
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indexer_textlines = 0
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# FIXME: non recursive, use OCR-D PAGE generateDS API. Or use an existing tool for this purpose altogether
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for nn in root1.iter(region_tags):
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for child_textregion in nn:
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if child_textregion.tag.endswith("TextLine"):
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for child_textlines in child_textregion:
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if child_textlines.tag.endswith("Coords"):
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cropped_lines_region_indexer.append(indexer_text_region)
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p_h = child_textlines.attrib['points'].split(' ')
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textline_coords = np.array([[int(x.split(',')[0]), int(x.split(',')[1])] for x in p_h])
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polygon_el = line.find("alto:Shape/alto:Polygon", NS)
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if polygon_el is None:
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continue
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x, y, w, h = cv2.boundingRect(textline_coords)
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points = polygon_el.attrib["POINTS"].split()
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coords = [
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(int(points[i]), int(points[i + 1]))
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for i in range(0, len(points), 2)
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]
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total_bb_coordinates.append([x, y, w, h])
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coords = np.array(coords, dtype=np.int32)
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x, y, w, h = cv2.boundingRect(coords)
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img_poly_on_img = np.copy(img)
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mask_poly = np.zeros(img.shape)
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mask_poly = cv2.fillPoly(mask_poly, pts=[textline_coords], color=(1, 1, 1))
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if exclude_vertical_lines and h > 2 * w:
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img_crop = None
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continue
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mask_poly = mask_poly[y : y + h, x : x + w, :]
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img_crop = img_poly_on_img[y : y + h, x : x + w, :]
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img_poly_on_img = np.copy(img)
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if not do_not_mask_with_textline_contour:
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img_crop[mask_poly == 0] = 255
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mask_poly = np.zeros(img.shape)
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mask_poly = cv2.fillPoly(mask_poly, pts=[coords], color=(1, 1, 1))
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if img_crop.shape[0] == 0 or img_crop.shape[1] == 0:
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continue
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if child_textlines.tag.endswith("TextEquiv"):
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for cheild_text in child_textlines:
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if cheild_text.tag.endswith("Unicode"):
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textline_text = cheild_text.text
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if textline_text:
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base_name = os.path.join(
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dir_out, file_name + '_line_' + str(indexer_textlines)
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)
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if pref_of_dataset:
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base_name += '_' + pref_of_dataset
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if not do_not_mask_with_textline_contour:
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base_name += '_masked'
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mask_poly = mask_poly[y : y + h, x : x + w, :]
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img_crop = img_poly_on_img[y : y + h, x : x + w, :]
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with open(base_name + '.txt', 'w') as text_file:
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text_file.write(textline_text)
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cv2.imwrite(base_name + '.png', img_crop)
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indexer_textlines += 1
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if not do_not_mask_with_textline_contour:
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img_crop[mask_poly == 0] = 255
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if img_crop.shape[0] == 0 or img_crop.shape[1] == 0:
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img_crop = None
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continue
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if textline_text and img_crop is not None:
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base_name = os.path.join(
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dir_out, file_name + '_line_' + str(indexer_textlines)
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)
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if pref_of_dataset:
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base_name += '_' + pref_of_dataset
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if not do_not_mask_with_textline_contour:
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base_name += '_masked'
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with open(base_name + '.txt', 'w') as text_file:
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text_file.write(textline_text)
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cv2.imwrite(base_name + '.png', img_crop)
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indexer_textlines += 1
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else:
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total_bb_coordinates = []
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tree = ET.parse(dir_xml, parser=ET.XMLParser(encoding="utf-8"))
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root = tree.getroot()
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alltags = [elem.tag for elem in root.iter()]
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name_space = alltags[0].split('}')[0]
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name_space = name_space.split('{')[1]
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region_tags = np.unique([x for x in alltags if x.endswith('TextRegion')])
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cropped_lines_region_indexer = []
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indexer_text_region = 0
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indexer_textlines = 0
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# FIXME: non recursive, use OCR-D PAGE generateDS API. Or use an existing tool for this purpose altogether
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for nn in root.iter(region_tags):
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for child_textregion in nn:
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if child_textregion.tag.endswith("TextLine"):
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for child_textlines in child_textregion:
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if child_textlines.tag.endswith("Coords"):
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cropped_lines_region_indexer.append(indexer_text_region)
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p_h = child_textlines.attrib['points'].split(' ')
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textline_coords = np.array([[int(x.split(',')[0]), int(x.split(',')[1])] for x in p_h])
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x, y, w, h = cv2.boundingRect(textline_coords)
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if exclude_vertical_lines and h > 2 * w:
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img_crop = None
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continue
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total_bb_coordinates.append([x, y, w, h])
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img_poly_on_img = np.copy(img)
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mask_poly = np.zeros(img.shape)
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mask_poly = cv2.fillPoly(mask_poly, pts=[textline_coords], color=(1, 1, 1))
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mask_poly = mask_poly[y : y + h, x : x + w, :]
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img_crop = img_poly_on_img[y : y + h, x : x + w, :]
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if not do_not_mask_with_textline_contour:
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img_crop[mask_poly == 0] = 255
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if img_crop.shape[0] == 0 or img_crop.shape[1] == 0:
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img_crop = None
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continue
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if child_textlines.tag.endswith("TextEquiv"):
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for cheild_text in child_textlines:
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if cheild_text.tag.endswith("Unicode"):
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textline_text = cheild_text.text
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if textline_text and img_crop is not None:
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base_name = os.path.join(
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dir_out, file_name + '_line_' + str(indexer_textlines)
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)
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if pref_of_dataset:
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base_name += '_' + pref_of_dataset
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if not do_not_mask_with_textline_contour:
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base_name += '_masked'
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with open(base_name + '.txt', 'w') as text_file:
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text_file.write(textline_text)
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cv2.imwrite(base_name + '.png', img_crop)
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indexer_textlines += 1
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