mirror of
https://github.com/qurator-spk/eynollah.git
synced 2026-06-16 09:59:13 +02:00
remove (half-implemented) page_alto functionality
This commit is contained in:
kba
parent
9858221724
commit
bed7fe526b
3 changed files with 169 additions and 291 deletions
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@ -56,12 +56,6 @@ from ..utils import is_image_filename
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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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@ -70,7 +64,6 @@ def linegt_cli(
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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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@ -86,147 +79,69 @@ def linegt_cli(
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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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if page_alto:
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h, w = img.shape[:2]
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total_bb_coordinates = []
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tree = ET.parse(dir_xml)
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root = tree.getroot()
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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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NS = {'alto': root.tag.split('}')[0].strip('{')}#{"alto": "http://www.loc.gov/standards/alto/ns-v4#"}
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name_space = alltags[0].split('}')[0]
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name_space = name_space.split('{')[1]
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results = []
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region_tags = np.unique([x for x in alltags if x.endswith('TextRegion')])
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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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cropped_lines_region_indexer = []
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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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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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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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x, y, w, h = cv2.boundingRect(textline_coords)
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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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if exclude_vertical_lines and h > 1.4 * 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 exclude_vertical_lines and h > 1.4 * w:
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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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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=[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 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 > 1.4 * 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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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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@ -73,14 +73,8 @@ def main():
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is_flag=True,
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help="if this parameter set to true, generated labels and in the case of provided org images cropping will be imposed and cropped labels and images will be written in output directories.",
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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, textline label generation is performed using PAGE/ALTO files. Otherwise, the default method for PAGE XML files is used.",
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)
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def pagexml2label(dir_xml,dir_out,type_output,config, printspace, dir_images, dir_out_images, page_alto):
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def pagexml2label(dir_xml,dir_out,type_output,config, printspace, dir_images, dir_out_images):
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if config:
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with open(config) as f:
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config_params = json.load(f)
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@ -88,7 +82,7 @@ def pagexml2label(dir_xml,dir_out,type_output,config, printspace, dir_images, di
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print("passed")
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config_params = None
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gt_list = get_content_of_dir(dir_xml)
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get_images_of_ground_truth(gt_list,dir_xml,dir_out,type_output, config, config_params, printspace, dir_images, dir_out_images, page_alto)
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get_images_of_ground_truth(gt_list,dir_xml,dir_out,type_output, config, config_params, printspace, dir_images, dir_out_images)
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@main.command()
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@click.option(
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@ -686,7 +686,7 @@ def get_layout_contours_for_visualization(xml_file):
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co_noise.append(np.array(c_t_in))
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return co_text, co_graphic, co_sep, co_img, co_table, co_map, co_music, co_noise, y_len, x_len
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def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_file, config_params, printspace, dir_images, dir_out_images, page_alto=False):
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def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_file, config_params, printspace, dir_images, dir_out_images):
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"""
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Reading the page xml files and write the ground truth images into given output directory.
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"""
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@ -699,94 +699,81 @@ def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_
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print(gt_list[index])
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try:
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if page_alto:
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tree = ET.parse(dir_in+'/'+gt_list[index])
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root = tree.getroot()
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NS = {'alto': root.tag.split('}')[0].strip('{')}#{"alto": "http://www.loc.gov/standards/alto/ns-v4#"}
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x_len, y_len = 0, 0
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page = root.find('.//alto:Page', NS)
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x_len = int( page.get("WIDTH") )
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y_len = int( page.get("HEIGHT") )
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else:
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tree1 = ET.parse(dir_in+'/'+gt_list[index], 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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link=alltags[0].split('}')[0]+'}'
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tree1 = ET.parse(dir_in+'/'+gt_list[index], 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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link=alltags[0].split('}')[0]+'}'
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x_len, y_len = 0, 0
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for jj in root1.iter(link+'Page'):
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y_len=int(jj.attrib['imageHeight'])
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x_len=int(jj.attrib['imageWidth'])
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x_len, y_len = 0, 0
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for jj in root1.iter(link+'Page'):
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y_len=int(jj.attrib['imageHeight'])
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x_len=int(jj.attrib['imageWidth'])
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if 'columns_width' in list(config_params.keys()):
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columns_width_dict = config_params['columns_width']
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metadata_element = root1.find(link+'Metadata')
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num_col = None
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for child in metadata_element:
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tag2 = child.tag
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if tag2.endswith('}Comments') or tag2.endswith('}comments'):
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text_comments = child.text
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num_col = int(text_comments.split('num_col')[1])
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if 'columns_width' in list(config_params.keys()):
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columns_width_dict = config_params['columns_width']
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metadata_element = root1.find(link+'Metadata')
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num_col = None
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for child in metadata_element:
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tag2 = child.tag
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if tag2.endswith('}Comments') or tag2.endswith('}comments'):
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text_comments = child.text
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num_col = int(text_comments.split('num_col')[1])
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if num_col:
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x_new = columns_width_dict[str(num_col)]
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y_new = int ( x_new * (y_len / float(x_len)) )
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if num_col:
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x_new = columns_width_dict[str(num_col)]
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y_new = int ( x_new * (y_len / float(x_len)) )
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if printspace or "printspace_as_class_in_layout" in list(config_params.keys()):
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region_tags = np.unique([x for x in alltags if x.endswith('PrintSpace') or x.endswith('Border')])
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co_use_case = []
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if printspace or "printspace_as_class_in_layout" in list(config_params.keys()):
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region_tags = np.unique([x for x in alltags if x.endswith('PrintSpace') or x.endswith('Border')])
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co_use_case = []
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for tag in region_tags:
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tag_endings = ['}PrintSpace','}Border']
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for tag in region_tags:
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tag_endings = ['}PrintSpace','}Border']
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if tag.endswith(tag_endings[0]) or tag.endswith(tag_endings[1]):
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for nn in root1.iter(tag):
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c_t_in = []
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sumi = 0
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for vv in nn.iter():
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# check the format of coords
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if vv.tag == link + 'Coords':
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coords = bool(vv.attrib)
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if coords:
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p_h = vv.attrib['points'].split(' ')
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c_t_in.append(
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np.array([[int(x.split(',')[0]), int(x.split(',')[1])] for x in p_h]))
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break
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else:
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pass
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if vv.tag == link + 'Point':
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c_t_in.append([int(float(vv.attrib['x'])), int(float(vv.attrib['y']))])
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sumi += 1
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elif vv.tag != link + 'Point' and sumi >= 1:
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if tag.endswith(tag_endings[0]) or tag.endswith(tag_endings[1]):
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for nn in root1.iter(tag):
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c_t_in = []
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sumi = 0
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for vv in nn.iter():
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# check the format of coords
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if vv.tag == link + 'Coords':
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coords = bool(vv.attrib)
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if coords:
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p_h = vv.attrib['points'].split(' ')
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c_t_in.append(
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np.array([[int(x.split(',')[0]), int(x.split(',')[1])] for x in p_h]))
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break
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co_use_case.append(np.array(c_t_in))
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else:
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pass
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img = np.zeros((y_len, x_len, 3))
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if vv.tag == link + 'Point':
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c_t_in.append([int(float(vv.attrib['x'])), int(float(vv.attrib['y']))])
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sumi += 1
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elif vv.tag != link + 'Point' and sumi >= 1:
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break
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co_use_case.append(np.array(c_t_in))
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img_poly = cv2.fillPoly(img, pts=co_use_case, color=(1, 1, 1))
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img = np.zeros((y_len, x_len, 3))
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img_poly = img_poly.astype(np.uint8)
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img_poly = cv2.fillPoly(img, pts=co_use_case, color=(1, 1, 1))
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imgray = cv2.cvtColor(img_poly, cv2.COLOR_BGR2GRAY)
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_, thresh = cv2.threshold(imgray, 0, 255, 0)
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img_poly = img_poly.astype(np.uint8)
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contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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imgray = cv2.cvtColor(img_poly, cv2.COLOR_BGR2GRAY)
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_, thresh = cv2.threshold(imgray, 0, 255, 0)
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cnt_size = np.array([cv2.contourArea(contours[j]) for j in range(len(contours))])
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contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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try:
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cnt = contours[np.argmax(cnt_size)]
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x, y, w, h = cv2.boundingRect(cnt)
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except:
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x, y , w, h = 0, 0, x_len, y_len
|
||||
cnt_size = np.array([cv2.contourArea(contours[j]) for j in range(len(contours))])
|
||||
|
||||
bb_xywh = [x, y, w, h]
|
||||
try:
|
||||
cnt = contours[np.argmax(cnt_size)]
|
||||
x, y, w, h = cv2.boundingRect(cnt)
|
||||
except:
|
||||
x, y , w, h = 0, 0, x_len, y_len
|
||||
|
||||
bb_xywh = [x, y, w, h]
|
||||
|
||||
|
||||
if config_file and (config_params['use_case']=='textline' or config_params['use_case']=='word' or config_params['use_case']=='glyph' or config_params['use_case']=='printspace'):
|
||||
|
|
@ -797,67 +784,49 @@ def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_
|
|||
|
||||
textline_rgb_color = (255, 0, 0)
|
||||
|
||||
if page_alto:
|
||||
co_use_case = []
|
||||
for line in root.findall(".//alto:TextLine", NS):
|
||||
string_el = line.find("alto:String", NS)
|
||||
textline_text = string_el.attrib["CONTENT"] if string_el is not None else None
|
||||
if config_params['use_case']=='textline':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('TextLine')])
|
||||
elif config_params['use_case']=='word':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('Word')])
|
||||
elif config_params['use_case']=='glyph':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('Glyph')])
|
||||
elif config_params['use_case']=='printspace':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('PrintSpace')])
|
||||
|
||||
polygon_el = line.find("alto:Shape/alto:Polygon", NS)
|
||||
if polygon_el is None:
|
||||
continue
|
||||
co_use_case = []
|
||||
|
||||
points = polygon_el.attrib["POINTS"].split()
|
||||
coords = [
|
||||
(int(points[i]), int(points[i + 1]))
|
||||
for i in range(0, len(points), 2)
|
||||
]
|
||||
|
||||
co_use_case.append( np.array(coords, dtype=np.int32) )
|
||||
else:
|
||||
for tag in region_tags:
|
||||
if config_params['use_case']=='textline':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('TextLine')])
|
||||
tag_endings = ['}TextLine','}textline']
|
||||
elif config_params['use_case']=='word':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('Word')])
|
||||
tag_endings = ['}Word','}word']
|
||||
elif config_params['use_case']=='glyph':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('Glyph')])
|
||||
tag_endings = ['}Glyph','}glyph']
|
||||
elif config_params['use_case']=='printspace':
|
||||
region_tags = np.unique([x for x in alltags if x.endswith('PrintSpace')])
|
||||
tag_endings = ['}PrintSpace','}printspace']
|
||||
|
||||
co_use_case = []
|
||||
|
||||
for tag in region_tags:
|
||||
if config_params['use_case']=='textline':
|
||||
tag_endings = ['}TextLine','}textline']
|
||||
elif config_params['use_case']=='word':
|
||||
tag_endings = ['}Word','}word']
|
||||
elif config_params['use_case']=='glyph':
|
||||
tag_endings = ['}Glyph','}glyph']
|
||||
elif config_params['use_case']=='printspace':
|
||||
tag_endings = ['}PrintSpace','}printspace']
|
||||
|
||||
if tag.endswith(tag_endings[0]) or tag.endswith(tag_endings[1]):
|
||||
for nn in root1.iter(tag):
|
||||
c_t_in = []
|
||||
sumi = 0
|
||||
for vv in nn.iter():
|
||||
# check the format of coords
|
||||
if vv.tag == link + 'Coords':
|
||||
coords = bool(vv.attrib)
|
||||
if coords:
|
||||
p_h = vv.attrib['points'].split(' ')
|
||||
c_t_in.append(
|
||||
np.array([[int(x.split(',')[0]), int(x.split(',')[1])] for x in p_h]))
|
||||
break
|
||||
else:
|
||||
pass
|
||||
|
||||
if vv.tag == link + 'Point':
|
||||
c_t_in.append([int(float(vv.attrib['x'])), int(float(vv.attrib['y']))])
|
||||
sumi += 1
|
||||
elif vv.tag != link + 'Point' and sumi >= 1:
|
||||
if tag.endswith(tag_endings[0]) or tag.endswith(tag_endings[1]):
|
||||
for nn in root1.iter(tag):
|
||||
c_t_in = []
|
||||
sumi = 0
|
||||
for vv in nn.iter():
|
||||
# check the format of coords
|
||||
if vv.tag == link + 'Coords':
|
||||
coords = bool(vv.attrib)
|
||||
if coords:
|
||||
p_h = vv.attrib['points'].split(' ')
|
||||
c_t_in.append(
|
||||
np.array([[int(x.split(',')[0]), int(x.split(',')[1])] for x in p_h]))
|
||||
break
|
||||
co_use_case.append(np.array(c_t_in))
|
||||
else:
|
||||
pass
|
||||
|
||||
if vv.tag == link + 'Point':
|
||||
c_t_in.append([int(float(vv.attrib['x'])), int(float(vv.attrib['y']))])
|
||||
sumi += 1
|
||||
elif vv.tag != link + 'Point' and sumi >= 1:
|
||||
break
|
||||
co_use_case.append(np.array(c_t_in))
|
||||
|
||||
|
||||
if "artificial_class_label" in keys:
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue