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generate_line_syllable_box.py
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generate_line_syllable_box.py
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#!/usr/bin/env python3
import argparse
import io
import unicodedata
from PIL import Image
#
# command line arguments
#
arg_parser = argparse.ArgumentParser('''Creates tesseract box files for given (line) image text pairs''')
# Text ground truth
arg_parser.add_argument('-t', '--txt', nargs='?', metavar='TXT', help='Line text (GT)', required=True)
# Image file
arg_parser.add_argument('-i', '--image', nargs='?', metavar='IMAGE', help='Image file', required=True)
args = arg_parser.parse_args()
#
# main
#
# https://stackoverflow.com/questions/6805311/combining-devanagari-characters
# Letters are category Lo (Letter, Other), vowel signs are category Mc (Mark, Spacing Combining),
# virama is category Mn (Mark, Nonspacing) and spaces are category Zs (Separator, Space).
def splitclusters(s):
"""Generate the grapheme clusters for the string s. (Not the full
Unicode text segmentation algorithm, but probably good enough for
Devanagari.)
"""
# http://pyright.blogspot.com/2009/12/pythons-unicodedata-module.html
# The combining code is typically zero. The virama gets its own special code of nine.
# i.e. unicodedata.category=Mn unicodedata.combining=9
# (Could be used to extend for other Indic languages).
virama = u'\N{DEVANAGARI SIGN VIRAMA}'
cluster = u''
last = None
for c in s:
cat = unicodedata.category(c)[0]
if cat == 'M' or cat == 'L' and last == virama:
cluster += c
else:
if cluster:
yield cluster
cluster = c
last = c
if cluster:
yield cluster
# Get image size.
width, height = Image.open(args.image).size
# load gt
with io.open(args.txt, "r", encoding='utf-8') as f:
lines = f.read().strip().split('\n')
for line in lines:
line = unicodedata.normalize('NFC', line.strip())
if line:
for syllable in (splitclusters(line)):
print("%s 0 0 %d %d 0" % (syllable, width, height))
print("\t 0 0 %d %d 0" % (width, height))