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find_number_of_columns_in_document: split headings at top+baseline

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regarding `splitter_y` result, for headings, instead of cutting right
through them via center line, add their toplines and baselines as if
they were horizontal separators
This commit is contained in:
Robert Sachunsky 2025-10-20 13:41:36 +02:00
parent 5a0e4c3b0f
commit cd35241e81
1 changed files with 23 additions and 5 deletions
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28
src/eynollah/utils/__init__.py
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@ -1506,15 +1506,33 @@ def find_number_of_columns_in_document(region_pre_p, num_col_classifier, tables,
if contours_h is not None: if contours_h is not None:
_, dist_x_head, x_min_head, x_max_head, cy_head, _, y_min_head, y_max_head, _ = \ _, dist_x_head, x_min_head, x_max_head, cy_head, _, y_min_head, y_max_head, _ = \
find_features_of_lines(contours_h) find_features_of_lines(contours_h)
# matrix_l_n = np.zeros((len(cy_head), matrix_of_seps_ch.shape[1]))
# args_head = np.arange(len(cy_head))
# matrix_l_n[:, 0] = args_head
# matrix_l_n[:, 2] = x_min_head+30
# matrix_l_n[:, 3] = x_max_head-30
# matrix_l_n[:, 4] = dist_x_head
# matrix_l_n[:, 5] = y_min_head-3-8
# matrix_l_n[:, 6] = y_min_head-5-8
# matrix_l_n[:, 7] = y_max_head#y_min_head+1-8
# matrix_l_n[:, 8] = 4
# split at toplines (y_min_head) and baselines (y_max_head) instead of center (cy_head):
cy_head = np.stack((y_min_head, y_max_head)).T.flatten()
y_min_head, y_max_head = (np.stack((y_min_head - 2, y_max_head - 2)).T.flatten(),
np.stack((y_min_head + 2, y_max_head + 2)).T.flatten())
x_min_head = np.repeat(x_min_head, 2)
x_max_head = np.repeat(x_max_head, 2)
dist_x_head = np.repeat(dist_x_head, 2)
matrix_l_n = np.zeros((len(cy_head), matrix_of_seps_ch.shape[1])) matrix_l_n = np.zeros((len(cy_head), matrix_of_seps_ch.shape[1]))
args_head = np.arange(len(cy_head)) args_head = np.arange(len(cy_head))
matrix_l_n[:, 0] = args_head matrix_l_n[:, 0] = args_head
matrix_l_n[:, 2] = x_min_head+30 # +/- 30px to avoid crossing col peaks by accident
matrix_l_n[:, 3] = x_max_head-30 matrix_l_n[:, 2] = x_min_head + 30
matrix_l_n[:, 3] = x_max_head - 30
matrix_l_n[:, 4] = dist_x_head matrix_l_n[:, 4] = dist_x_head
matrix_l_n[:, 5] = y_min_head-3-8 matrix_l_n[:, 5] = cy_head
matrix_l_n[:, 6] = y_min_head-5-8 matrix_l_n[:, 6] = y_min_head
matrix_l_n[:, 7] = y_max_head#y_min_head+1-8 matrix_l_n[:, 7] = y_max_head
matrix_l_n[:, 8] = 4 matrix_l_n[:, 8] = 4
matrix_of_seps_ch = np.append( matrix_of_seps_ch = np.append(
matrix_of_seps_ch, matrix_l_n, axis=0) matrix_of_seps_ch, matrix_l_n, axis=0)