qurator-spk/eynollah
1
0
Fork 0
mirror of https://github.com/qurator-spk/eynollah.git synced 2026-05-01 03:32:00 +02:00
Code Issues Projects Releases Wiki Activity

get_textlines_of_a_textregion_sorted: w-h instead of w/h test

Browse source
This commit is contained in:
Robert Sachunsky 2026-04-23 22:40:01 +02:00
parent 9723dfeb73
commit be61875d6e
1 changed files with 27 additions and 31 deletions
Download patch file Download diff file Expand all files Collapse all files

58
src/eynollah/eynollah.py
View file

@ -939,7 +939,7 @@ class Eynollah:
if len(diff_cy)>0: if len(diff_cy)>0:
mean_y_diff = np.mean(diff_cy) mean_y_diff = np.mean(diff_cy)
mean_x_diff = np.mean(diff_cx) mean_x_diff = np.mean(diff_cx)
count_hor = np.count_nonzero(np.array(w_h_textline) > 1) count_hor = np.count_nonzero(np.diff(w_h_textline) > 0)
count_ver = len(w_h_textline) - count_hor count_ver = len(w_h_textline) - count_hor
else: else:
@ -999,30 +999,28 @@ class Eynollah:
def get_slopes_and_deskew_new_light2(self, contours_par, textline_mask_tot, boxes, slope_deskew): def get_slopes_and_deskew_new_light2(self, contours_par, textline_mask_tot, boxes, slope_deskew):
polygons_of_textlines = return_contours_of_interested_region(textline_mask_tot,1,0.00001) polygons_of_textlines = return_contours_of_interested_region(textline_mask_tot, 1, 0.00001)
cx_main_tot, cy_main_tot = find_center_of_contours(polygons_of_textlines) cx_textlines, cy_textlines = find_center_of_contours(polygons_of_textlines)
w_h_textlines = [cv2.boundingRect(polygon)[2:] for polygon in polygons_of_textlines] w_h_textlines = [cv2.boundingRect(polygon)[2:] for polygon in polygons_of_textlines]
args_textlines = np.arange(len(polygons_of_textlines)) args_textlines = np.arange(len(polygons_of_textlines))
all_found_textline_polygons = [] all_found_textline_polygons = []
slopes = [] slopes = []
for index, contour in enumerate(contours_par):
for index, con_region_ind in enumerate(contours_par): results = [cv2.pointPolygonTest(contour,
results = [cv2.pointPolygonTest(con_region_ind, (cx_main_tot[ind], cy_main_tot[ind]), False) (cx_textlines[ind],
for ind in args_textlines ] cy_textlines[ind]),
False)
for ind in args_textlines]
results = np.array(results) results = np.array(results)
indexes_in = args_textlines[results==1] indexes_in = args_textlines[results == 1]
textlines_ins = [polygons_of_textlines[ind] for ind in indexes_in] textlines_in = self.get_textlines_of_a_textregion_sorted(
cx_textline_in = [cx_main_tot[ind] for ind in indexes_in] [polygons_of_textlines[ind] for ind in indexes_in],
cy_textline_in = [cy_main_tot[ind] for ind in indexes_in] [cx_textlines[ind] for ind in indexes_in],
w_h_textlines_in = [w_h_textlines[ind][0] / float(w_h_textlines[ind][1]) for ind in indexes_in] [cy_textlines[ind] for ind in indexes_in],
[w_h_textlines[ind] for ind in indexes_in])
textlines_ins = self.get_textlines_of_a_textregion_sorted(textlines_ins, all_found_textline_polygons.append(textlines_in) #[::-1])
cx_textline_in,
cy_textline_in,
w_h_textlines_in)
all_found_textline_polygons.append(textlines_ins)#[::-1])
slopes.append(slope_deskew) slopes.append(slope_deskew)
return all_found_textline_polygons, slopes return all_found_textline_polygons, slopes
@ -1631,7 +1629,9 @@ class Eynollah:
return 0 return 0
#print(textline_mask_tot_ea.shape, 'textline_mask_tot_ea deskew') #print(textline_mask_tot_ea.shape, 'textline_mask_tot_ea deskew')
slope_deskew = return_deskew_slop(cv2.erode(textline_mask_tot_ea, KERNEL, iterations=2), 2, 30, True, textline_mask_tot_ea = cv2.erode(textline_mask_tot_ea, KERNEL, iterations=2)
slope_deskew = return_deskew_slop(textline_mask_tot_ea, 2,
n_tot_angles=30, main_page=True,
logger=self.logger, plotter=self.plotter) logger=self.logger, plotter=self.plotter)
self.logger.info("slope_deskew: %.2f°", slope_deskew) self.logger.info("slope_deskew: %.2f°", slope_deskew)
return slope_deskew return slope_deskew
@ -2235,28 +2235,23 @@ class Eynollah:
all_found_textline_polygons = filter_contours_area_of_image( all_found_textline_polygons = filter_contours_area_of_image(
textline_mask_tot_ea, cnt_clean_rot_raw, hir_on_cnt_clean_rot, max_area=1, min_area=0.00001) textline_mask_tot_ea, cnt_clean_rot_raw, hir_on_cnt_clean_rot, max_area=1, min_area=0.00001)
cx_main_tot, cy_main_tot = find_center_of_contours(all_found_textline_polygons) cx_textlines, cy_textlines = find_center_of_contours(all_found_textline_polygons)
w_h_textlines = [cv2.boundingRect(polygon)[2:] w_h_textlines = [cv2.boundingRect(polygon)[2:]
for polygon in all_found_textline_polygons] for polygon in all_found_textline_polygons]
w_h_textlines = [w / float(h) for w, h in w_h_textlines]
all_found_textline_polygons = self.get_textlines_of_a_textregion_sorted( all_found_textline_polygons = self.get_textlines_of_a_textregion_sorted(
#all_found_textline_polygons[::-1] #all_found_textline_polygons[::-1]
all_found_textline_polygons, cx_main_tot, cy_main_tot, w_h_textlines) all_found_textline_polygons, cx_textlines, cy_textlines, w_h_textlines)
all_found_textline_polygons = [ all_found_textline_polygons ] all_found_textline_polygons = [all_found_textline_polygons]
all_found_textline_polygons = dilate_textline_contours(all_found_textline_polygons) all_found_textline_polygons = dilate_textline_contours(all_found_textline_polygons)
all_found_textline_polygons = self.filter_contours_inside_a_bigger_one( all_found_textline_polygons = self.filter_contours_inside_a_bigger_one(
all_found_textline_polygons, None, None, type_contour="textline") all_found_textline_polygons, None, None, type_contour="textline")
order_text_new = [0]
slopes =[0]
conf_contours_textregions =[0]
pcgts = writer.build_pagexml_no_full_layout( pcgts = writer.build_pagexml_no_full_layout(
num_col=num_col_classifier, num_col=num_col_classifier,
found_polygons_text_region=cont_page, found_polygons_text_region=cont_page,
page_coord=page_coord, page_coord=page_coord,
order_of_texts=order_text_new, page_slope=0,
order_of_texts=[0],
all_found_textline_polygons=all_found_textline_polygons, all_found_textline_polygons=all_found_textline_polygons,
found_polygons_images=[], found_polygons_images=[],
found_polygons_tables=[], found_polygons_tables=[],
@ -2264,11 +2259,12 @@ class Eynollah:
found_polygons_marginals_right=[], found_polygons_marginals_right=[],
all_found_textline_polygons_marginals_left=[], all_found_textline_polygons_marginals_left=[],
all_found_textline_polygons_marginals_right=[], all_found_textline_polygons_marginals_right=[],
slopes=slopes, slopes=[0],
slopes_marginals_left=[], slopes_marginals_left=[],
slopes_marginals_right=[], slopes_marginals_right=[],
cont_page=cont_page, cont_page=cont_page,
polygons_seplines=[], polygons_seplines=[],
conf_textregions=[0],
skip_layout_reading_order=True skip_layout_reading_order=True
) )
self.logger.info("Basic processing complete") self.logger.info("Basic processing complete")