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https://github.com/qurator-spk/sbb_pixelwise_segmentation.git
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loading xmls with UTF-8 encoding
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parent
1fe31bdeb3
commit
ef0f08ec1f
2 changed files with 18 additions and 18 deletions
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@ -513,20 +513,20 @@ def visualize_ocr_text(xml_file, dir_xml, dir_out):
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#y_bb = bb_ind[1]
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#w_bb = bb_ind[2]
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#h_bb = bb_ind[3]
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if ocr_texts[index]:
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font = fit_text_single_line(draw, ocr_texts[index], font_path, w, int(h*0.4) )
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font = fit_text_single_line(draw, ocr_texts[index], font_path, w, int(h*0.4) )
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##draw.rectangle([x_bb, y_bb, x_bb + w_bb, y_bb + h_bb], outline="red", width=2)
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##draw.rectangle([x_bb, y_bb, x_bb + w_bb, y_bb + h_bb], outline="red", width=2)
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text_bbox = draw.textbbox((0, 0), ocr_texts[index], font=font)
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text_width = text_bbox[2] - text_bbox[0]
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text_height = text_bbox[3] - text_bbox[1]
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text_bbox = draw.textbbox((0, 0), ocr_texts[index], font=font)
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text_width = text_bbox[2] - text_bbox[0]
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text_height = text_bbox[3] - text_bbox[1]
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text_x = x + (w - text_width) // 2 # Center horizontally
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text_y = y + (h - text_height) // 2 # Center vertically
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text_x = x + (w - text_width) // 2 # Center horizontally
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text_y = y + (h - text_height) // 2 # Center vertically
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# Draw the text
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draw.text((text_x, text_y), ocr_texts[index], fill="black", font=font)
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# Draw the text
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draw.text((text_x, text_y), ocr_texts[index], fill="black", font=font)
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image_text.save(os.path.join(dir_out, f_name+'.png'))
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if __name__ == "__main__":
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@ -244,7 +244,7 @@ def update_region_contours(co_text, img_boundary, erosion_rate, dilation_rate, y
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return co_text_eroded, img_boundary
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def get_textline_contours_for_visualization(xml_file):
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tree1 = ET.parse(xml_file, parser = ET.XMLParser(encoding = 'iso-8859-5'))
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tree1 = ET.parse(xml_file, 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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@ -285,7 +285,7 @@ def get_textline_contours_for_visualization(xml_file):
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def get_textline_contours_and_ocr_text(xml_file):
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tree1 = ET.parse(xml_file, parser = ET.XMLParser(encoding = 'iso-8859-5'))
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tree1 = ET.parse(xml_file, 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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@ -355,7 +355,7 @@ def fit_text_single_line(draw, text, font_path, max_width, max_height):
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return ImageFont.truetype(font_path, 10) # Smallest font fallback
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def get_layout_contours_for_visualization(xml_file):
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tree1 = ET.parse(xml_file, parser = ET.XMLParser(encoding = 'iso-8859-5'))
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tree1 = ET.parse(xml_file, 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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@ -630,7 +630,7 @@ def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_
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for index in tqdm(range(len(gt_list))):
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#try:
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print(gt_list[index])
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tree1 = ET.parse(dir_in+'/'+gt_list[index], parser = ET.XMLParser(encoding = 'iso-8859-5'))
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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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@ -1311,7 +1311,7 @@ def find_new_features_of_contours(contours_main):
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return cx_main, cy_main, x_min_main, x_max_main, y_min_main, y_max_main, y_corr_x_min_from_argmin
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def read_xml(xml_file):
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file_name = Path(xml_file).stem
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tree1 = ET.parse(xml_file, parser = ET.XMLParser(encoding = 'iso-8859-5'))
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tree1 = ET.parse(xml_file, 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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