qurator-spk/eynollah
1
0
Fork 0
mirror of https://github.com/qurator-spk/eynollah.git synced 2025-06-09 20:29:55 +02:00
Code Issues Projects Releases Wiki Activity

more extraction of util functions

Browse source
This commit is contained in:
Konstantin Baierer 2020-11-24 16:08:14 +01:00
parent 890e2a6988
commit aa76a223df
2 changed files with 14 additions and 13 deletions
Download patch file Download diff file Expand all files Collapse all files

15
sbb_newspapers_org_image/eynollah.py
View file

@ -76,6 +76,7 @@ from .utils import (
seperate_lines_new_inside_teils2,
seperate_lines_vertical_cont,
delete_seperator_around,
return_regions_without_seperators,
)
@ -3827,18 +3828,6 @@ class eynollah:
# cv2.imwrite(os.path.join(dir_of_image, self.f_name) + ".tif",self.image_org)
def return_regions_without_seperators(self, regions_pre):
kernel = np.ones((5, 5), np.uint8)
regions_without_seperators = ((regions_pre[:, :] != 6) & (regions_pre[:, :] != 0)) * 1
# regions_without_seperators=( (image_regions_eraly_p[:,:,:]!=6) & (image_regions_eraly_p[:,:,:]!=0) & (image_regions_eraly_p[:,:,:]!=5) & (image_regions_eraly_p[:,:,:]!=8) & (image_regions_eraly_p[:,:,:]!=7))*1
regions_without_seperators = regions_without_seperators.astype(np.uint8)
regions_without_seperators = cv2.erode(regions_without_seperators, kernel, iterations=6)
return regions_without_seperators
def image_change_background_pixels_to_zero(self, image_page):
image_back_zero = np.zeros((image_page.shape[0], image_page.shape[1]))
image_back_zero[:, :] = image_page[:, :, 0]
@ -6048,7 +6037,7 @@ class eynollah:
args_big_parts = np.array(range(len(spliter_y_new_diff)))[spliter_y_new_diff > 22]
regions_without_seperators = self.return_regions_without_seperators(region_pre_p)
regions_without_seperators = return_regions_without_seperators(region_pre_p)
##print(args_big_parts,'args_big_parts')
# image_page_otsu=otsu_copy(image_page_deskewd)

12
sbb_newspapers_org_image/utils.py
View file

@ -2329,3 +2329,15 @@ def delete_seperator_around(spliter_y, peaks_neg, image_by_region):
image_by_region[int(spliter_y[i]) : int(spliter_y[i + 1]), peaks_neg[i][j] - int(1.0 / 20.0 * peaks_neg[i][j]) : peaks_neg[i][j] + int(1.0 / 20.0 * peaks_neg[i][j])][image_by_region[int(spliter_y[i]) : int(spliter_y[i + 1]), peaks_neg[i][j] - int(1.0 / 20.0 * peaks_neg[i][j]) : peaks_neg[i][j] + int(1.0 / 20.0 * peaks_neg[i][j])] == 7] = 0
return image_by_region
def return_regions_without_seperators(regions_pre):
kernel = np.ones((5, 5), np.uint8)
regions_without_seperators = ((regions_pre[:, :] != 6) & (regions_pre[:, :] != 0)) * 1
# regions_without_seperators=( (image_regions_eraly_p[:,:,:]!=6) & (image_regions_eraly_p[:,:,:]!=0) & (image_regions_eraly_p[:,:,:]!=5) & (image_regions_eraly_p[:,:,:]!=8) & (image_regions_eraly_p[:,:,:]!=7))*1
regions_without_seperators = regions_without_seperators.astype(np.uint8)
regions_without_seperators = cv2.erode(regions_without_seperators, kernel, iterations=6)
return regions_without_seperators