"> found pages separator line at %f (image space position) / %f (page space position)"
% (sep_line_img_x, sep_line_page_x))
# split the scanned double page at the separator line
split_images = iproc_obj.split_image(sep_line_img_x)
# split the textboxes at the separator line
split_texts = split_page_texts(p, sep_line_page_x)
split_texts_and_images.append((p, split_texts, split_images))
# generate a new XML and "pages" dict structure from the split pages
split_pages_xmlfile = os.path.join(
OUTPUTPATH, INPUT_XML[:INPUT_XML.rindex('.')] + '.split.xml')
print("> saving split pages XML to '%s'" % split_pages_xmlfile)
split_tree, split_root, split_pages = create_split_pages_dict_structure(
split_texts_and_images, save_to_output_path=split_pages_xmlfile)
# we don't need the original double pages any more, we'll work with 'split_pages'
del pages
#%% Detect clusters of horizontal lines using the image processing module and rotate back or deskew pages
hori_lines_clusters = {}
pages_image_scaling = {
} # scaling of the scanned page image in relation to the OCR page dimensions for each page
for p_num, p in split_pages.items():
# get the image file of the scanned page
imgfilebasename = p['image'][:p['image'].rindex('.')]
imgfile = os.path.join(OUTPUTPATH, p['image'])
sep_line_page_x = sep_line_img_x / page_scaling_x
print("> found pages separator line at %f (image space position) / %f (page space position)"
% (sep_line_img_x, sep_line_page_x))
# split the scanned double page at the separator line
split_images = iproc_obj.split_image(sep_line_img_x)
# split the textboxes at the separator line
split_texts = split_page_texts(p, sep_line_page_x)
split_texts_and_images.append((p, split_texts, split_images))
# generate a new XML and "pages" dict structure from the split pages
split_pages_xmlfile = os.path.join(OUTPUTPATH, INPUT_XML[:INPUT_XML.rindex('.')] + '.split.xml')
print("> saving split pages XML to '%s'" % split_pages_xmlfile)
split_tree, split_root, split_pages = create_split_pages_dict_structure(split_texts_and_images,
save_to_output_path=split_pages_xmlfile)
# we don't need the original double pages any more, we'll work with 'split_pages'
del pages
#%% Detect clusters of horizontal lines using the image processing module and rotate back or deskew pages
hori_lines_clusters = {}
pages_image_scaling = {} # scaling of the scanned page image in relation to the OCR page dimensions for each page
for p_num, p in split_pages.items():
# get the image file of the scanned page
imgfilebasename = p['image'][:p['image'].rindex('.')]
imgfile = os.path.join(OUTPUTPATH, p['image'])
print("page %d: detecting lines in image file '%s'..." % (p_num, imgfile))