I'm new in Tesseract and trying to train my own fonts on Tesseract 5.3.2
but I have to know if the electricity is cut off or if I cancel vs code or
something like that of the process of training then if I run the training
command again so after that it starts from begging or from electricity cut
off?
I have already to tested it but every time starts from begging. so I need
to know any method to apply this problem to handle this. because it takes a
lot of time and is not necessary to start by begging every time or it's
normal?
I use this command to create text-to-image.tif files for multiple fonts in
Tesseract 5.3.2:
import os
import random
import pathlib
import subprocess
training_text_file = 'langdata/ben.training_text'
font_list = ['FL Badhon Ansari Rh. Unicode',
'F Khairuddin Barbarusa Rah. Uni',
'F Mahfuj Art Unicode Italic',
'F Mahfuj Art Unicode',
'FL Niribili Plain Unicode',
'FL Niribili Plain Unicode Itali Italic'
] # Add more fonts as needed
lines = []
with open(training_text_file, 'r') as input_file:
for line in input_file.readlines():
lines.append(line.strip())
output_directory = 'tesstrain/data/ben-ground-truth'
if not os.path.exists(output_directory):
os.mkdir(output_directory)
random.shuffle(lines)
count = 100
lines = lines[:count]
line_count = 0
for line in lines:
for font in font_list:
training_text_file_name = pathlib.Path(training_text_file).stem
line_training_text = os.path.join(
output_directory,
f'{training_text_file_name}_{line_count}.gt.txt')
with open(line_training_text, 'w') as output_file:
output_file.writelines([line])
file_base_name = f'ben_{line_count}'
subprocess.run([
'text2image',
f'--font={font}',
f'--text={line_training_text}',
f'--outputbase={output_directory}/{file_base_name}',
'--max_pages=1',
'--strip_unrenderable_words',
'--leading=32',
'--xsize=3600',
'--ysize=350',
'--char_spacing=1.0',
'--exposure=0',
'--unicharset_file=langdata/ben.unicharset'
])
line_count += 1
and this command is for training :
import subprocess
# List of font names
font_names = ['ben']
for font in font_names:
command = f"TESSDATA_PREFIX=../tesseract/tessdata make training
MODEL_NAME={font} START_MODEL=ben TESSDATA=../tesseract/tessdata
MAX_ITERATIONS=10000 LANG_TYPE=Indic"
subprocess.run(command, shell=True)
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