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return_boxes_of_images_by_order_of_reading_new: avoid oversplits

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when y slice (`top:bot`) is not a significant part of the page,
viz. less than 22% (as in `find_number_of_columns_in_document`),
avoid forcing `find_num_col` to reach `num_col_classifier`

(allows large headers not to be split up and thus better ordered)
This commit is contained in:
Robert Sachunsky 2025-10-24 02:15:13 +02:00
parent 6fbb5f8a12
commit 66a0e55e49
1 changed files with 9 additions and 3 deletions
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12
src/eynollah/utils/__init__.py
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@ -1628,7 +1628,8 @@ def return_boxes_of_images_by_order_of_reading_new(
boxes=[]
peaks_neg_tot_tables = []
splitter_y_new = np.array(splitter_y_new, dtype=int)
width_tot = regions_without_separators.shape[1]
height_tot, width_tot = regions_without_separators.shape
big_part = 22 * height_tot // 100 # percent height
for top, bot in pairwise(splitter_y_new):
# print("%d:%d" % (top, bot), 'i')
# dbg_plt([0, None, top, bot], "image cut for y split %d:%d" % (top, bot))
@ -1644,12 +1645,17 @@ def return_boxes_of_images_by_order_of_reading_new(
try:
num_col, peaks_neg_fin = find_num_col(
regions_without_separators[top:bot],
num_col_classifier, tables, multiplier=6. if erosion_hurts else 7.)
# we do not expect to get all columns in small parts (headings etc.):
num_col_classifier if bot - top >= big_part else 1,
tables, multiplier=6. if erosion_hurts else 7.)
except:
peaks_neg_fin=[]
num_col = 0
try:
if (len(peaks_neg_fin)+1)<num_col_classifier or num_col_classifier==6:
if ((len(peaks_neg_fin) + 1 < num_col_classifier or
num_col_classifier == 6) and
# we do not expect to get all columns in small parts (headings etc.):
bot - top >= big_part):
# found too few columns here
#print('burda')
peaks_neg_fin_org = np.copy(peaks_neg_fin)