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sbb_pixelwise_segmentation/gt_gen_utils.py

1240 lines
65 KiB
Python

import click
import sys
import os
import numpy as np
import warnings
import xml.etree.ElementTree as ET
from tqdm import tqdm
import cv2
from shapely import geometry
from pathlib import Path
KERNEL = np.ones((5, 5), np.uint8)
with warnings.catch_warnings():
warnings.simplefilter("ignore")
def get_content_of_dir(dir_in):
"""
Listing all ground truth page xml files. All files are needed to have xml format.
"""
gt_all=os.listdir(dir_in)
gt_list=[file for file in gt_all if file.split('.')[ len(file.split('.'))-1 ]=='xml' ]
return gt_list
def return_parent_contours(contours, hierarchy):
contours_parent = [contours[i] for i in range(len(contours)) if hierarchy[0][i][3] == -1]
return contours_parent
def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, min_area):
found_polygons_early = list()
jv = 0
for c in contours:
if len(c) < 3: # A polygon cannot have less than 3 points
continue
polygon = geometry.Polygon([point[0] for point in c])
# area = cv2.contourArea(c)
area = polygon.area
##print(np.prod(thresh.shape[:2]))
# Check that polygon has area greater than minimal area
# print(hierarchy[0][jv][3],hierarchy )
if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]): # and hierarchy[0][jv][3]==-1 :
# print(c[0][0][1])
found_polygons_early.append(np.array([[point] for point in polygon.exterior.coords], dtype=np.int32))
jv += 1
return found_polygons_early
def filter_contours_area_of_image(image, contours, order_index, max_area, min_area):
found_polygons_early = list()
order_index_filtered = list()
#jv = 0
for jv, c in enumerate(contours):
#print(len(c[0]))
c = c[0]
if len(c) < 3: # A polygon cannot have less than 3 points
continue
c_e = [point for point in c]
#print(c_e)
polygon = geometry.Polygon(c_e)
area = polygon.area
#print(area,'area')
if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]): # and hierarchy[0][jv][3]==-1 :
found_polygons_early.append(np.array([[point] for point in polygon.exterior.coords], dtype=np.uint))
order_index_filtered.append(order_index[jv])
#jv += 1
return found_polygons_early, order_index_filtered
def return_contours_of_interested_region(region_pre_p, pixel, min_area=0.0002):
# pixels of images are identified by 5
if len(region_pre_p.shape) == 3:
cnts_images = (region_pre_p[:, :, 0] == pixel) * 1
else:
cnts_images = (region_pre_p[:, :] == pixel) * 1
cnts_images = cnts_images.astype(np.uint8)
cnts_images = np.repeat(cnts_images[:, :, np.newaxis], 3, axis=2)
imgray = cv2.cvtColor(cnts_images, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(imgray, 0, 255, 0)
contours_imgs, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
contours_imgs = return_parent_contours(contours_imgs, hierarchy)
contours_imgs = filter_contours_area_of_image_tables(thresh, contours_imgs, hierarchy, max_area=1, min_area=min_area)
return contours_imgs
def update_region_contours(co_text, img_boundary, erosion_rate, dilation_rate, y_len, x_len):
co_text_eroded = []
for con in co_text:
#try:
img_boundary_in = np.zeros( (y_len,x_len) )
img_boundary_in = cv2.fillPoly(img_boundary_in, pts=[con], color=(1, 1, 1))
#print('bidiahhhhaaa')
#img_boundary_in = cv2.erode(img_boundary_in[:,:], KERNEL, iterations=7)#asiatica
if erosion_rate > 0:
img_boundary_in = cv2.erode(img_boundary_in[:,:], KERNEL, iterations=erosion_rate)
pixel = 1
min_size = 0
con_eroded = return_contours_of_interested_region(img_boundary_in,pixel, min_size )
try:
co_text_eroded.append(con_eroded[0])
except:
co_text_eroded.append(con)
img_boundary_in_dilated = cv2.dilate(img_boundary_in[:,:], KERNEL, iterations=dilation_rate)
#img_boundary_in_dilated = cv2.dilate(img_boundary_in[:,:], KERNEL, iterations=5)
boundary = img_boundary_in_dilated[:,:] - img_boundary_in[:,:]
img_boundary[:,:][boundary[:,:]==1] =1
return co_text_eroded, img_boundary
def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_file, config_params):
"""
Reading the page xml files and write the ground truth images into given output directory.
"""
## to do: add footnote to text regions
for index in tqdm(range(len(gt_list))):
#try:
tree1 = ET.parse(dir_in+'/'+gt_list[index])
root1=tree1.getroot()
alltags=[elem.tag for elem in root1.iter()]
link=alltags[0].split('}')[0]+'}'
for jj in root1.iter(link+'Page'):
y_len=int(jj.attrib['imageHeight'])
x_len=int(jj.attrib['imageWidth'])
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'):
keys = list(config_params.keys())
if "artificial_class_label" in keys:
artificial_class_rgb_color = (255,255,0)
artificial_class_label = config_params['artificial_class_label']
textline_rgb_color = (255, 0, 0)
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')])
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(np.float(vv.attrib['x'])), int(np.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:
img_boundary = np.zeros((y_len, x_len))
erosion_rate = 1
dilation_rate = 3
co_use_case, img_boundary = update_region_contours(co_use_case, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
img = np.zeros((y_len, x_len, 3))
if output_type == '2d':
img_poly = cv2.fillPoly(img, pts=co_use_case, color=(1, 1, 1))
if "artificial_class_label" in keys:
img_poly[:,:][img_boundary[:,:]==1] = artificial_class_label
elif output_type == '3d':
img_poly = cv2.fillPoly(img, pts=co_use_case, color=textline_rgb_color)
if "artificial_class_label" in keys:
img_poly[:,:,0][img_boundary[:,:]==1] = artificial_class_rgb_color[0]
img_poly[:,:,1][img_boundary[:,:]==1] = artificial_class_rgb_color[1]
img_poly[:,:,2][img_boundary[:,:]==1] = artificial_class_rgb_color[2]
try:
cv2.imwrite(output_dir + '/' + gt_list[index].split('-')[1].split('.')[0] + '.png',
img_poly)
except:
cv2.imwrite(output_dir + '/' + gt_list[index].split('.')[0] + '.png', img_poly)
if config_file and config_params['use_case']=='layout':
keys = list(config_params.keys())
if "artificial_class_on_boundry" in keys:
elements_with_artificial_class = list(config_params['artificial_class_on_boundry'])
artificial_class_rgb_color = (255,255,0)
artificial_class_label = config_params['artificial_class_label']
#values = config_params.values()
if 'textregions' in keys:
types_text_dict = config_params['textregions']
types_text = list(types_text_dict.keys())
types_text_label = list(types_text_dict.values())
print(types_text)
if 'graphicregions' in keys:
types_graphic_dict = config_params['graphicregions']
types_graphic = list(types_graphic_dict.keys())
types_graphic_label = list(types_graphic_dict.values())
labels_rgb_color = [ (0,0,0), (255,0,0), (255,125,0), (255,0,125), (125,255,125), (125,125,0), (0,125,255), (0,125,0), (125,125,125), (255,0,255), (125,0,125), (0,255,0),(0,0,255), (0,255,255), (255,125,125), (0,125,125), (0,255,125), (255,125,255), (125,255,0)]
region_tags=np.unique([x for x in alltags if x.endswith('Region')])
co_text_paragraph=[]
co_text_footnote=[]
co_text_footnote_con=[]
co_text_drop=[]
co_text_heading=[]
co_text_header=[]
co_text_marginalia=[]
co_text_catch=[]
co_text_page_number=[]
co_text_signature_mark=[]
co_sep=[]
co_img=[]
co_table=[]
co_graphic_signature=[]
co_graphic_text_annotation=[]
co_graphic_decoration=[]
co_graphic_stamp=[]
co_noise=[]
for tag in region_tags:
if 'textregions' in keys:
if tag.endswith('}TextRegion') or tag.endswith('}Textregion'):
for nn in root1.iter(tag):
c_t_in_drop=[]
c_t_in_paragraph=[]
c_t_in_heading=[]
c_t_in_header=[]
c_t_in_page_number=[]
c_t_in_signature_mark=[]
c_t_in_catch=[]
c_t_in_marginalia=[]
c_t_in_footnote=[]
c_t_in_footnote_con=[]
sumi=0
for vv in nn.iter():
# check the format of coords
if vv.tag==link+'Coords':
coords=bool(vv.attrib)
if coords:
#print('birda1')
p_h=vv.attrib['points'].split(' ')
if "drop-capital" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='drop-capital':
c_t_in_drop.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "footnote" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='footnote':
c_t_in_footnote.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "footnote-continued" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='footnote-continued':
c_t_in_footnote_con.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "heading" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='heading':
c_t_in_heading.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "signature-mark" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='signature-mark':
c_t_in_signature_mark.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "header" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='header':
c_t_in_header.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "catch-word" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='catch-word':
c_t_in_catch.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "page-number" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='page-number':
c_t_in_page_number.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "marginalia" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='marginalia':
c_t_in_marginalia.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "paragraph" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='paragraph':
c_t_in_paragraph.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
break
else:
pass
if vv.tag==link+'Point':
if "drop-capital" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='drop-capital':
c_t_in_drop.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "footnote" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='footnote':
c_t_in_footnote.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "footnote-continued" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='footnote-continued':
c_t_in_footnote_con.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "heading" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='heading':
c_t_in_heading.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "signature-mark" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='signature-mark':
c_t_in_signature_mark.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "header" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='header':
c_t_in_header.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "catch-word" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='catch-word':
c_t_in_catch.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "page-number" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='page-number':
c_t_in_page_number.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "marginalia" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='marginalia':
c_t_in_marginalia.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "paragraph" in types_text:
if "type" in nn.attrib and nn.attrib['type']=='paragraph':
c_t_in_paragraph.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif vv.tag!=link+'Point' and sumi>=1:
break
if len(c_t_in_drop)>0:
co_text_drop.append(np.array(c_t_in_drop))
if len(c_t_in_footnote_con)>0:
co_text_footnote_con.append(np.array(c_t_in_footnote_con))
if len(c_t_in_footnote)>0:
co_text_footnote.append(np.array(c_t_in_footnote))
if len(c_t_in_paragraph)>0:
co_text_paragraph.append(np.array(c_t_in_paragraph))
if len(c_t_in_heading)>0:
co_text_heading.append(np.array(c_t_in_heading))
if len(c_t_in_header)>0:
co_text_header.append(np.array(c_t_in_header))
if len(c_t_in_page_number)>0:
co_text_page_number.append(np.array(c_t_in_page_number))
if len(c_t_in_catch)>0:
co_text_catch.append(np.array(c_t_in_catch))
if len(c_t_in_signature_mark)>0:
co_text_signature_mark.append(np.array(c_t_in_signature_mark))
if len(c_t_in_marginalia)>0:
co_text_marginalia.append(np.array(c_t_in_marginalia))
if 'graphicregions' in keys:
if tag.endswith('}GraphicRegion') or tag.endswith('}graphicregion'):
#print('sth')
for nn in root1.iter(tag):
c_t_in_stamp=[]
c_t_in_text_annotation=[]
c_t_in_decoration=[]
c_t_in_signature=[]
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(' ')
if "handwritten-annotation" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='handwritten-annotation':
c_t_in_text_annotation.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "decoration" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='decoration':
c_t_in_decoration.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "stamp" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='stamp':
c_t_in_stamp.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
if "signature" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='signature':
c_t_in_signature.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
break
else:
pass
if vv.tag==link+'Point':
if "handwritten-annotation" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='handwritten-annotation':
c_t_in_text_annotation.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "decoration" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='decoration':
c_t_in_decoration.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "stamp" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='stamp':
c_t_in_stamp.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if "signature" in types_graphic:
if "type" in nn.attrib and nn.attrib['type']=='signature':
c_t_in_signature.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if len(c_t_in_text_annotation)>0:
co_graphic_text_annotation.append(np.array(c_t_in_text_annotation))
if len(c_t_in_decoration)>0:
co_graphic_decoration.append(np.array(c_t_in_decoration))
if len(c_t_in_stamp)>0:
co_graphic_stamp.append(np.array(c_t_in_stamp))
if len(c_t_in_signature)>0:
co_graphic_signature.append(np.array(c_t_in_signature))
if 'imageregion' in keys:
if tag.endswith('}ImageRegion') or tag.endswith('}imageregion'):
for nn in root1.iter(tag):
c_t_in=[]
sumi=0
for vv in nn.iter():
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif vv.tag!=link+'Point' and sumi>=1:
break
co_img.append(np.array(c_t_in))
if 'separatorregion' in keys:
if tag.endswith('}SeparatorRegion') or tag.endswith('}separatorregion'):
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif vv.tag!=link+'Point' and sumi>=1:
break
co_sep.append(np.array(c_t_in))
if 'tableregion' in keys:
if tag.endswith('}TableRegion') or tag.endswith('}tableregion'):
#print('sth')
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
#print(vv.tag,'in')
elif vv.tag!=link+'Point' and sumi>=1:
break
co_table.append(np.array(c_t_in))
if 'noiseregion' in keys:
if tag.endswith('}NoiseRegion') or tag.endswith('}noiseregion'):
#print('sth')
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
#print(vv.tag,'in')
elif vv.tag!=link+'Point' and sumi>=1:
break
co_noise.append(np.array(c_t_in))
if "artificial_class_on_boundry" in keys:
img_boundary = np.zeros( (y_len,x_len) )
if "paragraph" in elements_with_artificial_class:
erosion_rate = 2
dilation_rate = 4
co_text_paragraph, img_boundary = update_region_contours(co_text_paragraph, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "drop-capital" in elements_with_artificial_class:
erosion_rate = 0
dilation_rate = 4
co_text_drop, img_boundary = update_region_contours(co_text_drop, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "catch-word" in elements_with_artificial_class:
erosion_rate = 0
dilation_rate = 4
co_text_catch, img_boundary = update_region_contours(co_text_catch, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "page-number" in elements_with_artificial_class:
erosion_rate = 0
dilation_rate = 4
co_text_page_number, img_boundary = update_region_contours(co_text_page_number, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "header" in elements_with_artificial_class:
erosion_rate = 1
dilation_rate = 4
co_text_header, img_boundary = update_region_contours(co_text_header, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "heading" in elements_with_artificial_class:
erosion_rate = 1
dilation_rate = 4
co_text_heading, img_boundary = update_region_contours(co_text_heading, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "signature-mark" in elements_with_artificial_class:
erosion_rate = 1
dilation_rate = 4
co_text_signature_mark, img_boundary = update_region_contours(co_text_signature_mark, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "marginalia" in elements_with_artificial_class:
erosion_rate = 2
dilation_rate = 4
co_text_marginalia, img_boundary = update_region_contours(co_text_marginalia, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "footnote" in elements_with_artificial_class:
erosion_rate = 2
dilation_rate = 4
co_text_footnote, img_boundary = update_region_contours(co_text_footnote, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
if "footnote-continued" in elements_with_artificial_class:
erosion_rate = 2
dilation_rate = 4
co_text_footnote_con, img_boundary = update_region_contours(co_text_footnote_con, img_boundary, erosion_rate, dilation_rate, y_len, x_len )
img = np.zeros( (y_len,x_len,3) )
if output_type == '3d':
if 'graphicregions' in keys:
if "handwritten-annotation" in types_graphic:
img_poly=cv2.fillPoly(img, pts =co_graphic_text_annotation, color=labels_rgb_color[ config_params['graphicregions']['handwritten-annotation']])
if "signature" in types_graphic:
img_poly=cv2.fillPoly(img, pts =co_graphic_signature, color=labels_rgb_color[ config_params['graphicregions']['signature']])
if "decoration" in types_graphic:
img_poly=cv2.fillPoly(img, pts =co_graphic_decoration, color=labels_rgb_color[ config_params['graphicregions']['decoration']])
if "stamp" in types_graphic:
img_poly=cv2.fillPoly(img, pts =co_graphic_stamp, color=labels_rgb_color[ config_params['graphicregions']['stamp']])
if 'imageregion' in keys:
img_poly=cv2.fillPoly(img, pts =co_img, color=labels_rgb_color[ config_params['imageregion']])
if 'separatorregion' in keys:
img_poly=cv2.fillPoly(img, pts =co_sep, color=labels_rgb_color[ config_params['separatorregion']])
if 'tableregion' in keys:
img_poly=cv2.fillPoly(img, pts =co_table, color=labels_rgb_color[ config_params['tableregion']])
if 'noiseregion' in keys:
img_poly=cv2.fillPoly(img, pts =co_noise, color=labels_rgb_color[ config_params['noiseregion']])
if 'textregions' in keys:
if "paragraph" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_paragraph, color=labels_rgb_color[ config_params['textregions']['paragraph']])
if "footnote" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_footnote, color=labels_rgb_color[ config_params['textregions']['footnote']])
if "footnote-continued" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_footnote_con, color=labels_rgb_color[ config_params['textregions']['footnote-continued']])
if "heading" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_heading, color=labels_rgb_color[ config_params['textregions']['heading']])
if "header" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_header, color=labels_rgb_color[ config_params['textregions']['header']])
if "catch-word" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_catch, color=labels_rgb_color[ config_params['textregions']['catch-word']])
if "signature-mark" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_signature_mark, color=labels_rgb_color[ config_params['textregions']['signature-mark']])
if "page-number" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_page_number, color=labels_rgb_color[ config_params['textregions']['page-number']])
if "marginalia" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_marginalia, color=labels_rgb_color[ config_params['textregions']['marginalia']])
if "drop-capital" in types_text:
img_poly=cv2.fillPoly(img, pts =co_text_drop, color=labels_rgb_color[ config_params['textregions']['drop-capital']])
if "artificial_class_on_boundry" in keys:
img_poly[:,:,0][img_boundary[:,:]==1] = artificial_class_rgb_color[0]
img_poly[:,:,1][img_boundary[:,:]==1] = artificial_class_rgb_color[1]
img_poly[:,:,2][img_boundary[:,:]==1] = artificial_class_rgb_color[2]
elif output_type == '2d':
if 'graphicregions' in keys:
if "handwritten-annotation" in types_graphic:
color_label = config_params['graphicregions']['handwritten-annotation']
img_poly=cv2.fillPoly(img, pts =co_graphic_text_annotation, color=(color_label,color_label,color_label))
if "signature" in types_graphic:
color_label = config_params['graphicregions']['signature']
img_poly=cv2.fillPoly(img, pts =co_graphic_signature, color=(color_label,color_label,color_label))
if "decoration" in types_graphic:
color_label = config_params['graphicregions']['decoration']
img_poly=cv2.fillPoly(img, pts =co_graphic_decoration, color=(color_label,color_label,color_label))
if "stamp" in types_graphic:
color_label = config_params['graphicregions']['stamp']
img_poly=cv2.fillPoly(img, pts =co_graphic_stamp, color=(color_label,color_label,color_label))
if 'imageregion' in keys:
color_label = config_params['imageregion']
img_poly=cv2.fillPoly(img, pts =co_img, color=(color_label,color_label,color_label))
if 'separatorregion' in keys:
color_label = config_params['separatorregion']
img_poly=cv2.fillPoly(img, pts =co_sep, color=(color_label,color_label,color_label))
if 'tableregion' in keys:
color_label = config_params['tableregion']
img_poly=cv2.fillPoly(img, pts =co_table, color=(color_label,color_label,color_label))
if 'noiseregion' in keys:
color_label = config_params['noiseregion']
img_poly=cv2.fillPoly(img, pts =co_noise, color=(color_label,color_label,color_label))
if 'textregions' in keys:
if "paragraph" in types_text:
color_label = config_params['textregions']['paragraph']
img_poly=cv2.fillPoly(img, pts =co_text_paragraph, color=(color_label,color_label,color_label))
if "footnote" in types_text:
color_label = config_params['textregions']['footnote']
img_poly=cv2.fillPoly(img, pts =co_text_footnote, color=(color_label,color_label,color_label))
if "footnote-continued" in types_text:
color_label = config_params['textregions']['footnote-continued']
img_poly=cv2.fillPoly(img, pts =co_text_footnote_con, color=(color_label,color_label,color_label))
if "heading" in types_text:
color_label = config_params['textregions']['heading']
img_poly=cv2.fillPoly(img, pts =co_text_heading, color=(color_label,color_label,color_label))
if "header" in types_text:
color_label = config_params['textregions']['header']
img_poly=cv2.fillPoly(img, pts =co_text_header, color=(color_label,color_label,color_label))
if "catch-word" in types_text:
color_label = config_params['textregions']['catch-word']
img_poly=cv2.fillPoly(img, pts =co_text_catch, color=(color_label,color_label,color_label))
if "signature-mark" in types_text:
color_label = config_params['textregions']['signature-mark']
img_poly=cv2.fillPoly(img, pts =co_text_signature_mark, color=(color_label,color_label,color_label))
if "page-number" in types_text:
color_label = config_params['textregions']['page-number']
img_poly=cv2.fillPoly(img, pts =co_text_page_number, color=(color_label,color_label,color_label))
if "marginalia" in types_text:
color_label = config_params['textregions']['marginalia']
img_poly=cv2.fillPoly(img, pts =co_text_marginalia, color=(color_label,color_label,color_label))
if "drop-capital" in types_text:
color_label = config_params['textregions']['drop-capital']
img_poly=cv2.fillPoly(img, pts =co_text_drop, color=(color_label,color_label,color_label))
if "artificial_class_on_boundry" in keys:
img_poly[:,:][img_boundary[:,:]==1] = artificial_class_label
try:
cv2.imwrite(output_dir+'/'+gt_list[index].split('-')[1].split('.')[0]+'.png',img_poly )
except:
cv2.imwrite(output_dir+'/'+gt_list[index].split('.')[0]+'.png',img_poly )
def find_new_features_of_contours(contours_main):
#print(contours_main[0][0][:, 0])
areas_main = np.array([cv2.contourArea(contours_main[j]) for j in range(len(contours_main))])
M_main = [cv2.moments(contours_main[j]) for j in range(len(contours_main))]
cx_main = [(M_main[j]["m10"] / (M_main[j]["m00"] + 1e-32)) for j in range(len(M_main))]
cy_main = [(M_main[j]["m01"] / (M_main[j]["m00"] + 1e-32)) for j in range(len(M_main))]
try:
x_min_main = np.array([np.min(contours_main[j][0][:, 0]) for j in range(len(contours_main))])
argmin_x_main = np.array([np.argmin(contours_main[j][0][:, 0]) for j in range(len(contours_main))])
x_min_from_argmin = np.array([contours_main[j][0][argmin_x_main[j], 0] for j in range(len(contours_main))])
y_corr_x_min_from_argmin = np.array([contours_main[j][0][argmin_x_main[j], 1] for j in range(len(contours_main))])
x_max_main = np.array([np.max(contours_main[j][0][:, 0]) for j in range(len(contours_main))])
y_min_main = np.array([np.min(contours_main[j][0][:, 1]) for j in range(len(contours_main))])
y_max_main = np.array([np.max(contours_main[j][0][:, 1]) for j in range(len(contours_main))])
except:
x_min_main = np.array([np.min(contours_main[j][:, 0]) for j in range(len(contours_main))])
argmin_x_main = np.array([np.argmin(contours_main[j][:, 0]) for j in range(len(contours_main))])
x_min_from_argmin = np.array([contours_main[j][argmin_x_main[j], 0] for j in range(len(contours_main))])
y_corr_x_min_from_argmin = np.array([contours_main[j][argmin_x_main[j], 1] for j in range(len(contours_main))])
x_max_main = np.array([np.max(contours_main[j][:, 0]) for j in range(len(contours_main))])
y_min_main = np.array([np.min(contours_main[j][:, 1]) for j in range(len(contours_main))])
y_max_main = np.array([np.max(contours_main[j][:, 1]) for j in range(len(contours_main))])
# dis_x=np.abs(x_max_main-x_min_main)
return cx_main, cy_main, x_min_main, x_max_main, y_min_main, y_max_main, y_corr_x_min_from_argmin
def read_xml(xml_file):
file_name = Path(xml_file).stem
tree1 = ET.parse(xml_file)
root1=tree1.getroot()
alltags=[elem.tag for elem in root1.iter()]
link=alltags[0].split('}')[0]+'}'
index_tot_regions = []
tot_region_ref = []
for jj in root1.iter(link+'Page'):
y_len=int(jj.attrib['imageHeight'])
x_len=int(jj.attrib['imageWidth'])
for jj in root1.iter(link+'RegionRefIndexed'):
index_tot_regions.append(jj.attrib['index'])
tot_region_ref.append(jj.attrib['regionRef'])
region_tags=np.unique([x for x in alltags if x.endswith('Region')])
#print(region_tags)
co_text_paragraph=[]
co_text_drop=[]
co_text_heading=[]
co_text_header=[]
co_text_marginalia=[]
co_text_catch=[]
co_text_page_number=[]
co_text_signature_mark=[]
co_sep=[]
co_img=[]
co_table=[]
co_graphic=[]
co_graphic_text_annotation=[]
co_graphic_decoration=[]
co_noise=[]
co_text_paragraph_text=[]
co_text_drop_text=[]
co_text_heading_text=[]
co_text_header_text=[]
co_text_marginalia_text=[]
co_text_catch_text=[]
co_text_page_number_text=[]
co_text_signature_mark_text=[]
co_sep_text=[]
co_img_text=[]
co_table_text=[]
co_graphic_text=[]
co_graphic_text_annotation_text=[]
co_graphic_decoration_text=[]
co_noise_text=[]
id_paragraph = []
id_header = []
id_heading = []
id_marginalia = []
for tag in region_tags:
if tag.endswith('}TextRegion') or tag.endswith('}Textregion'):
for nn in root1.iter(tag):
for child2 in nn:
tag2 = child2.tag
#print(child2.tag)
if tag2.endswith('}TextEquiv') or tag2.endswith('}TextEquiv'):
#children2 = childtext.getchildren()
#rank = child2.find('Unicode').text
for childtext2 in child2:
#rank = childtext2.find('Unicode').text
#if childtext2.tag.endswith('}PlainText') or childtext2.tag.endswith('}PlainText'):
#print(childtext2.text)
if childtext2.tag.endswith('}Unicode') or childtext2.tag.endswith('}Unicode'):
if "type" in nn.attrib and nn.attrib['type']=='drop-capital':
co_text_drop_text.append(childtext2.text)
elif "type" in nn.attrib and nn.attrib['type']=='heading':
co_text_heading_text.append(childtext2.text)
elif "type" in nn.attrib and nn.attrib['type']=='signature-mark':
co_text_signature_mark_text.append(childtext2.text)
elif "type" in nn.attrib and nn.attrib['type']=='header':
co_text_header_text.append(childtext2.text)
elif "type" in nn.attrib and nn.attrib['type']=='catch-word':
co_text_catch_text.append(childtext2.text)
elif "type" in nn.attrib and nn.attrib['type']=='page-number':
co_text_page_number_text.append(childtext2.text)
elif "type" in nn.attrib and nn.attrib['type']=='marginalia':
co_text_marginalia_text.append(childtext2.text)
else:
co_text_paragraph_text.append(childtext2.text)
c_t_in_drop=[]
c_t_in_paragraph=[]
c_t_in_heading=[]
c_t_in_header=[]
c_t_in_page_number=[]
c_t_in_signature_mark=[]
c_t_in_catch=[]
c_t_in_marginalia=[]
sumi=0
for vv in nn.iter():
# check the format of coords
if vv.tag==link+'Coords':
coords=bool(vv.attrib)
if coords:
#print('birda1')
p_h=vv.attrib['points'].split(' ')
if "type" in nn.attrib and nn.attrib['type']=='drop-capital':
#if nn.attrib['type']=='paragraph':
c_t_in_drop.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
elif "type" in nn.attrib and nn.attrib['type']=='heading':
id_heading.append(nn.attrib['id'])
c_t_in_heading.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
elif "type" in nn.attrib and nn.attrib['type']=='signature-mark':
c_t_in_signature_mark.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
#print(c_t_in_paragraph)
elif "type" in nn.attrib and nn.attrib['type']=='header':
id_header.append(nn.attrib['id'])
c_t_in_header.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
elif "type" in nn.attrib and nn.attrib['type']=='catch-word':
c_t_in_catch.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
elif "type" in nn.attrib and nn.attrib['type']=='page-number':
c_t_in_page_number.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
#print(c_t_in_paragraph)
elif "type" in nn.attrib and nn.attrib['type']=='marginalia':
id_marginalia.append(nn.attrib['id'])
c_t_in_marginalia.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
#print(c_t_in_paragraph)
else:
#print(nn.attrib['id'])
id_paragraph.append(nn.attrib['id'])
c_t_in_paragraph.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
#print(c_t_in_paragraph)
break
else:
pass
if vv.tag==link+'Point':
if "type" in nn.attrib and nn.attrib['type']=='drop-capital':
#if nn.attrib['type']=='paragraph':
c_t_in_drop.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif "type" in nn.attrib and nn.attrib['type']=='heading':
id_heading.append(nn.attrib['id'])
c_t_in_heading.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif "type" in nn.attrib and nn.attrib['type']=='signature-mark':
c_t_in_signature_mark.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
#print(c_t_in_paragraph)
sumi+=1
elif "type" in nn.attrib and nn.attrib['type']=='header':
id_header.append(nn.attrib['id'])
c_t_in_header.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif "type" in nn.attrib and nn.attrib['type']=='catch-word':
c_t_in_catch.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif "type" in nn.attrib and nn.attrib['type']=='page-number':
c_t_in_page_number.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
#print(c_t_in_paragraph)
sumi+=1
elif "type" in nn.attrib and nn.attrib['type']=='marginalia':
id_marginalia.append(nn.attrib['id'])
c_t_in_marginalia.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
#print(c_t_in_paragraph)
sumi+=1
else:
id_paragraph.append(nn.attrib['id'])
c_t_in_paragraph.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
#print(c_t_in_paragraph)
sumi+=1
#c_t_in.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
#print(vv.tag,'in')
elif vv.tag!=link+'Point' and sumi>=1:
break
if len(c_t_in_drop)>0:
co_text_drop.append(np.array(c_t_in_drop))
if len(c_t_in_paragraph)>0:
co_text_paragraph.append(np.array(c_t_in_paragraph))
if len(c_t_in_heading)>0:
co_text_heading.append(np.array(c_t_in_heading))
if len(c_t_in_header)>0:
co_text_header.append(np.array(c_t_in_header))
if len(c_t_in_page_number)>0:
co_text_page_number.append(np.array(c_t_in_page_number))
if len(c_t_in_catch)>0:
co_text_catch.append(np.array(c_t_in_catch))
if len(c_t_in_signature_mark)>0:
co_text_signature_mark.append(np.array(c_t_in_signature_mark))
if len(c_t_in_marginalia)>0:
co_text_marginalia.append(np.array(c_t_in_marginalia))
elif tag.endswith('}GraphicRegion') or tag.endswith('}graphicregion'):
#print('sth')
for nn in root1.iter(tag):
c_t_in=[]
c_t_in_text_annotation=[]
c_t_in_decoration=[]
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] ) )
if "type" in nn.attrib and nn.attrib['type']=='handwritten-annotation':
#if nn.attrib['type']=='paragraph':
c_t_in_text_annotation.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
elif "type" in nn.attrib and nn.attrib['type']=='decoration':
c_t_in_decoration.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
#print(c_t_in_paragraph)
else:
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':
if "type" in nn.attrib and nn.attrib['type']=='handwritten-annotation':
#if nn.attrib['type']=='paragraph':
c_t_in_text_annotation.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
elif "type" in nn.attrib and nn.attrib['type']=='decoration':
c_t_in_decoration.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
#print(c_t_in_paragraph)
sumi+=1
else:
c_t_in.append([ int(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
if len(c_t_in_text_annotation)>0:
co_graphic_text_annotation.append(np.array(c_t_in_text_annotation))
if len(c_t_in_decoration)>0:
co_graphic_decoration.append(np.array(c_t_in_decoration))
if len(c_t_in)>0:
co_graphic.append(np.array(c_t_in))
elif tag.endswith('}ImageRegion') or tag.endswith('}imageregion'):
#print('sth')
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
#print(vv.tag,'in')
elif vv.tag!=link+'Point' and sumi>=1:
break
co_img.append(np.array(c_t_in))
co_img_text.append(' ')
elif tag.endswith('}SeparatorRegion') or tag.endswith('}separatorregion'):
#print('sth')
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
#print(vv.tag,'in')
elif vv.tag!=link+'Point' and sumi>=1:
break
co_sep.append(np.array(c_t_in))
elif tag.endswith('}TableRegion') or tag.endswith('}tableregion'):
#print('sth')
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
#print(vv.tag,'in')
elif vv.tag!=link+'Point' and sumi>=1:
break
co_table.append(np.array(c_t_in))
co_table_text.append(' ')
elif tag.endswith('}NoiseRegion') or tag.endswith('}noiseregion'):
#print('sth')
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(np.float(vv.attrib['x'])) , int(np.float(vv.attrib['y'])) ])
sumi+=1
#print(vv.tag,'in')
elif vv.tag!=link+'Point' and sumi>=1:
break
co_noise.append(np.array(c_t_in))
co_noise_text.append(' ')
img = np.zeros( (y_len,x_len,3) )
img_poly=cv2.fillPoly(img, pts =co_text_paragraph, color=(1,1,1))
img_poly=cv2.fillPoly(img, pts =co_text_heading, color=(2,2,2))
img_poly=cv2.fillPoly(img, pts =co_text_header, color=(2,2,2))
#img_poly=cv2.fillPoly(img, pts =co_text_catch, color=(125,255,125))
#img_poly=cv2.fillPoly(img, pts =co_text_signature_mark, color=(125,125,0))
#img_poly=cv2.fillPoly(img, pts =co_graphic_decoration, color=(1,125,255))
#img_poly=cv2.fillPoly(img, pts =co_text_page_number, color=(1,125,0))
img_poly=cv2.fillPoly(img, pts =co_text_marginalia, color=(3,3,3))
#img_poly=cv2.fillPoly(img, pts =co_text_drop, color=(1,125,255))
#img_poly=cv2.fillPoly(img, pts =co_graphic_text_annotation, color=(125,0,125))
img_poly=cv2.fillPoly(img, pts =co_img, color=(4,4,4))
img_poly=cv2.fillPoly(img, pts =co_sep, color=(5,5,5))
#img_poly=cv2.fillPoly(img, pts =co_table, color=(1,255,255))
#img_poly=cv2.fillPoly(img, pts =co_graphic, color=(255,125,125))
#img_poly=cv2.fillPoly(img, pts =co_noise, color=(255,0,255))
#print('yazdimmm',self.output_dir+'/'+self.gt_list[index].split('.')[0]+'.jpg')
###try:
####print('yazdimmm',self.output_dir+'/'+self.gt_list[index].split('.')[0]+'.jpg')
###cv2.imwrite(self.output_dir+'/'+self.gt_list[index].split('-')[1].split('.')[0]+'.jpg',img_poly )
###except:
###cv2.imwrite(self.output_dir+'/'+self.gt_list[index].split('.')[0]+'.jpg',img_poly )
return file_name, id_paragraph, id_header,co_text_paragraph, co_text_header,\
tot_region_ref,x_len, y_len,index_tot_regions, img_poly
def bounding_box(cnt,color, corr_order_index ):
x, y, w, h = cv2.boundingRect(cnt)
x = int(x*scale_w)
y = int(y*scale_h)
w = int(w*scale_w)
h = int(h*scale_h)
return [x,y,w,h,int(color), int(corr_order_index)+1]
def resize_image(seg_in,input_height,input_width):
return cv2.resize(seg_in,(input_width,input_height),interpolation=cv2.INTER_NEAREST)
def make_image_from_bb(width_l, height_l, bb_all):
bb_all =np.array(bb_all)
img_remade = np.zeros((height_l,width_l ))
for i in range(bb_all.shape[0]):
img_remade[bb_all[i,1]:bb_all[i,1]+bb_all[i,3],bb_all[i,0]:bb_all[i,0]+bb_all[i,2] ] = 1
return img_remade