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@ -33,6 +33,7 @@ from lxml import etree as ET
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from matplotlib import pyplot, transforms
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import matplotlib.patches as mpatches
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import imutils
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import matplotlib.pyplot as plt
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from .utils.contour import (
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contours_in_same_horizon,
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@ -454,9 +455,12 @@ class eynollah:
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# Also set for the plotter
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# XXX TODO hacky
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self.plotter.image_org = self.image_org
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self.plotter.scale_y = self.scale_y
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self.plotter.scale_x = self.scale_x
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#self.plotter.image_org = self.image_org
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#self.plotter.scale_y = self.scale_y
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#self.plotter.scale_x = self.scale_x
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def get_image_and_scales_after_enhancing(self, img_org, img_res):
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@ -469,6 +473,7 @@ class eynollah:
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self.scale_y = img_res.shape[0] / float(self.image_org.shape[0])
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self.scale_x = img_res.shape[1] / float(self.image_org.shape[1])
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del img_org
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del img_res
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@ -1325,8 +1330,10 @@ class eynollah:
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# textregion.set('type','paragraph')
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coord_text = ET.SubElement(textregion, 'Coords')
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coord_text.set('points', self.calculate_polygon_coords(found_polygons_text_region_h, mm, page_coord))
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id_indexer_l = self.serialize_lines_in_region(textregion, all_found_texline_polygons_h, mm, page_coord, all_box_coord, slopes, id_indexer_l)
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id_indexer_l = self.serialize_lines_in_region(textregion, all_found_texline_polygons_h, mm, page_coord, all_box_coord_h, slopes, id_indexer_l)
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texteqreg=ET.SubElement(textregion, 'TextEquiv')
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unireg=ET.SubElement(texteqreg, 'Unicode')
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@ -1459,9 +1466,14 @@ class eynollah:
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except:
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pass
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print(dir_of_image)
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print(self.f_name)
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print(os.path.join(dir_of_image, self.f_name) + ".xml")
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##print(dir_of_image)
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##print(self.f_name)
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##print(os.path.join(dir_of_image, self.f_name) + ".xml")
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##tree = ET.ElementTree(pcgts)
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##tree.write(os.path.join(dir_of_image, self.image_filename_stem) + ".xml")
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print(self.image_filename_stem)
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# print(os.path.join(dir_of_image, self.image_filename_stem) + ".xml")
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tree = ET.ElementTree(pcgts)
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tree.write(os.path.join(dir_of_image, self.image_filename_stem) + ".xml")
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@ -2134,7 +2146,9 @@ class eynollah:
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img_org, img_res, is_image_enhanced = self.resize_image_with_column_classifier(is_image_enhanced)
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self.get_image_and_scales_after_enhancing(img_org, img_res)
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# print(self.scale_x)
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print("enhancing: " + str(time.time() - t1))
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text_regions_p_1 = self.get_regions_from_xy_2models(img_res, is_image_enhanced)
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@ -2542,6 +2556,8 @@ class eynollah:
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contours_only_text_parent_d_ordered = None
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text_regions_p, contours_only_text_parent, contours_only_text_parent_h, all_box_coord, all_box_coord_h, all_found_texline_polygons, all_found_texline_polygons_h, slopes, slopes_h, contours_only_text_parent_d_ordered, contours_only_text_parent_h_d_ordered = check_any_text_region_in_model_one_is_main_or_header(text_regions_p, regions_fully, contours_only_text_parent, all_box_coord, all_found_texline_polygons, slopes, contours_only_text_parent_d_ordered)
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if self.plotter:
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self.plotter.save_plot_of_layout(text_regions_p, image_page)
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self.plotter.save_plot_of_layout_all(text_regions_p, image_page)
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