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get label for decoration without type attribute

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vahidrezanezhad 2026-02-24 01:39:12 +01:00
parent c4434c7f7d
commit 0ca2d02ee8
2 changed files with 40 additions and 26 deletions
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47
src/eynollah/training/generate_gt_for_training.py
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@ -356,11 +356,15 @@ def visualize_reading_order(xml_file, dir_xml, dir_out, dir_imgs):
layout = np.zeros( (y_len,x_len,3) )
layout = cv2.fillPoly(layout, pts =co_text_all, color=(1,1,1))
img_file_name_with_format = find_format_of_given_filename_in_dir(dir_imgs, f_name)
img = cv2.imread(os.path.join(dir_imgs, img_file_name_with_format))
overlayed = overlay_layout_on_image(layout, img, cx_ordered, cy_ordered, color, thickness)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), overlayed)
try:
img_file_name_with_format = find_format_of_given_filename_in_dir(dir_imgs, f_name)
img = cv2.imread(os.path.join(dir_imgs, img_file_name_with_format))
overlayed = overlay_layout_on_image(layout, img, cx_ordered, cy_ordered, color, thickness)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), overlayed)
except:
pass
else:
img = np.zeros( (y_len,x_len,3) )
@ -415,14 +419,17 @@ def visualize_textline_segmentation(xml_file, dir_xml, dir_out, dir_imgs):
xml_file = os.path.join(dir_xml,ind_xml )
f_name = Path(ind_xml).stem
img_file_name_with_format = find_format_of_given_filename_in_dir(dir_imgs, f_name)
img = cv2.imread(os.path.join(dir_imgs, img_file_name_with_format))
try:
img_file_name_with_format = find_format_of_given_filename_in_dir(dir_imgs, f_name)
img = cv2.imread(os.path.join(dir_imgs, img_file_name_with_format))
co_tetxlines, y_len, x_len = get_textline_contours_for_visualization(xml_file)
co_tetxlines, y_len, x_len = get_textline_contours_for_visualization(xml_file)
added_image = visualize_image_from_contours(co_tetxlines, img)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), added_image)
added_image = visualize_image_from_contours(co_tetxlines, img)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), added_image)
except:
pass
@ -472,15 +479,17 @@ def visualize_layout_segmentation(xml_file, dir_xml, dir_out, dir_imgs):
f_name = Path(ind_xml).stem
print(f_name, 'f_name')
img_file_name_with_format = find_format_of_given_filename_in_dir(dir_imgs, f_name)
img = cv2.imread(os.path.join(dir_imgs, img_file_name_with_format))
try:
img_file_name_with_format = find_format_of_given_filename_in_dir(dir_imgs, f_name)
img = cv2.imread(os.path.join(dir_imgs, img_file_name_with_format))
co_text, co_graphic, co_sep, co_img, co_table, co_map, co_noise, y_len, x_len = get_layout_contours_for_visualization(xml_file)
co_text, co_graphic, co_sep, co_img, co_table, co_map, co_noise, y_len, x_len = get_layout_contours_for_visualization(xml_file)
added_image = visualize_image_from_contours_layout(co_text['paragraph'], co_text['header']+co_text['heading'], co_text['drop-capital'], co_sep, co_img, co_text['marginalia'], co_table, co_map, img)
added_image = visualize_image_from_contours_layout(co_text['paragraph'], co_text['header']+co_text['heading'], co_text['drop-capital'], co_sep, co_img, co_text['marginalia'], co_table, co_map, img)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), added_image)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), added_image)
except:
pass

19
src/eynollah/training/gt_gen_utils.py
View file

@ -969,19 +969,21 @@ def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_
if "rest_as_decoration" in types_graphic:
types_graphic_without_decoration = [element for element in types_graphic if element!='rest_as_decoration' and element!='decoration']
if len(types_graphic_without_decoration) == 0:
if "type" in nn.attrib:
c_t_in_graphic['decoration'].append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
#if "type" in nn.attrib:
c_t_in_graphic['decoration'].append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
elif len(types_graphic_without_decoration) >= 1:
if "type" in nn.attrib:
if nn.attrib['type'] in types_graphic_without_decoration:
c_t_in_graphic[nn.attrib['type']].append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
else:
c_t_in_graphic['decoration'].append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
else:
c_t_in_graphic['decoration'].append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
else:
if "type" in nn.attrib:
if nn.attrib['type'] in all_defined_graphic_types:
c_t_in_graphic[nn.attrib['type']].append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
c_t_in_graphic[nn.attrib['type']].append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
break
else:
@ -992,9 +994,9 @@ def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_
if "rest_as_decoration" in types_graphic:
types_graphic_without_decoration = [element for element in types_graphic if element!='rest_as_decoration' and element!='decoration']
if len(types_graphic_without_decoration) == 0:
if "type" in nn.attrib:
c_t_in_graphic['decoration'].append( [ int(float(vv.attrib['x'])) , int(float(vv.attrib['y'])) ] )
sumi+=1
#if "type" in nn.attrib:
c_t_in_graphic['decoration'].append( [ int(float(vv.attrib['x'])) , int(float(vv.attrib['y'])) ] )
sumi+=1
elif len(types_graphic_without_decoration) >= 1:
if "type" in nn.attrib:
if nn.attrib['type'] in types_graphic_without_decoration:
@ -1003,6 +1005,9 @@ def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_
else:
c_t_in_graphic['decoration'].append( [ int(float(vv.attrib['x'])) , int(float(vv.attrib['y'])) ] )
sumi+=1
else:
c_t_in_graphic['decoration'].append( [ int(float(vv.attrib['x'])) , int(float(vv.attrib['y'])) ] )
sumi+=1
else:
if "type" in nn.attrib: