qurator-spk/sbb_pixelwise_segmentation
1
0
Fork 0
mirror of https://github.com/qurator-spk/sbb_pixelwise_segmentation.git synced 2025-06-13 22:00:06 +02:00
Code Issues Releases Wiki Activity

page to label enable textline new concept

Browse source
This commit is contained in:
vahidrezanezhad 2024-05-17 09:10:13 +02:00 • committed by GitHub
parent 6ef86585c0
commit 2623113b0c
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 73 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

73
pagexml2label.py
View file

@ -217,6 +217,79 @@ class pagexml2word:
except:
cv2.imwrite(self.output_dir+'/'+self.gt_list[index].split('.')[0]+'.png',img_poly )
elif self.experiment == 'textline_new_concept':
region_tags = np.unique([x for x in alltags if x.endswith('TextLine')])
co_line = []
for tag in region_tags:
if tag.endswith('}TextLine') or tag.endswith('}textline'):
# 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_line.append(np.array(c_t_in))
img_boundary = np.zeros((y_len, x_len))
co_textline_eroded = []
for con in co_line:
# 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
img_boundary_in = cv2.erode(img_boundary_in[:, :], KERNEL, iterations=1)
pixel = 1
min_size = 0
con_eroded = self.return_contours_of_interested_region(img_boundary_in, pixel, min_size)
try:
co_textline_eroded.append(con_eroded[0])
except:
co_textline_eroded.append(con)
img_boundary_in_dilated = cv2.dilate(img_boundary_in[:, :], KERNEL, iterations=3)
# 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
img = np.zeros((y_len, x_len, 3))
if self.output_type == '2d':
img_poly = cv2.fillPoly(img, pts=co_textline_eroded, color=(1, 1, 1))
img_poly[:, :][img_boundary[:, :] == 1] = 2
elif self.output_type == '3d':
img_poly = cv2.fillPoly(img, pts=co_textline_eroded, color=(255, 0, 0))
img_poly[:, :, 0][img_boundary[:, :] == 1] = 255
img_poly[:, :, 1][img_boundary[:, :] == 1] = 125
img_poly[:, :, 2][img_boundary[:, :] == 1] = 125
try:
cv2.imwrite(self.output_dir + '/' + self.gt_list[index].split('-')[1].split('.')[0] + '.png',
img_poly)
except:
cv2.imwrite(self.output_dir + '/' + self.gt_list[index].split('.')[0] + '.png', img_poly)
elif self.experiment=='layout_for_main_regions':
region_tags=np.unique([x for x in alltags if x.endswith('Region')])
#print(region_tags)