1
0
mirror of https://gitlab.os-k.eu/neox/CNIRevelator.git synced 2023-08-25 14:03:10 +02:00
CNIRevelator/src/pytesseract.py

327 lines
11 KiB
Python
Raw Normal View History

2019-07-09 16:13:16 +02:00
"""
********************************************************************************
* CNIRevelator *
* *
* Desc: Pytesseract modification to comply with Pyinstaller *
* *
* Copyright © 2017-2018 Matthias A. Lee (madmaze) *
* Copyright © 2018-2019 Adrien Bourmault (neox95) *
* *
* This file is part of CNIRevelator. *
* *
* CNIRevelator is free software: you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation, either version 3 of the License, or *
* any later version. *
* *
* CNIRevelator is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY*without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with CNIRevelator. If not, see <https:*www.gnu.org/licenses/>. *
********************************************************************************
"""
try:
import Image
except ImportError:
from PIL import Image
import os, sys, subprocess, tempfile, shlex, string
from glob import iglob
from pkgutil import find_loader
from distutils.version import LooseVersion
from os.path import realpath, normpath, normcase
numpy_installed = find_loader('numpy') is not None
if numpy_installed:
from numpy import ndarray
tesseract_cmd = 'tesseract'
RGB_MODE = 'RGB'
OSD_KEYS = {'Page number':(
'page_num', int),
'Orientation in degrees':(
'orientation', int),
'Rotate':(
'rotate', int),
'Orientation confidence':(
'orientation_conf', float),
'Script':(
'script', str),
'Script confidence':(
'script_conf', float)}
class Output:
STRING = 'string'
BYTES = 'bytes'
DICT = 'dict'
class TesseractError(RuntimeError):
def __init__(self, status, message):
self.status = status
self.message = message
self.args = (status, message)
class TesseractNotFoundError(EnvironmentError):
def __init__(self):
super(TesseractNotFoundError, self).__init__(tesseract_cmd + " is not installed or it's not in your path")
class TSVNotSupported(EnvironmentError):
def __init__(self):
super(TSVNotSupported, self).__init__('TSV output not supported. Tesseract >= 3.05 required')
def run_once(func):
def wrapper(*args, **kwargs):
if wrapper._result is wrapper:
wrapper._result = func(*args, **kwargs)
return wrapper._result
wrapper._result = wrapper
return wrapper
def get_errors(error_string):
return ' '.join(line for line in error_string.decode('utf-8').splitlines()).strip()
def cleanup(temp_name):
""" Tries to remove files by filename wildcard path. """
for filename in iglob(temp_name + '*' if temp_name else temp_name):
try:
os.remove(filename)
except OSError:
pass
def prepare(image):
if isinstance(image, Image.Image):
return image
if numpy_installed:
if isinstance(image, ndarray):
pass
return Image.fromarray(image)
raise TypeError('Unsupported image object')
def save_image(image):
temp_name = tempfile.mktemp(prefix='tess_')
if isinstance(image, str):
return (temp_name, realpath(normpath(normcase(image))))
else:
image = prepare(image)
img_extension = image.format
if image.format not in frozenset({'BMP', 'JPEG', 'GIF', 'TIFF', 'PNG'}):
img_extension = 'PNG'
if not image.mode.startswith(RGB_MODE):
image = image.convert(RGB_MODE)
if 'A' in image.getbands():
background = Image.new(RGB_MODE, image.size, (255, 255, 255))
background.paste(image, (0, 0), image)
image = background
input_file_name = temp_name + os.extsep + img_extension
(image.save)(input_file_name, format=img_extension, **image.info)
return (
temp_name, input_file_name)
def subprocess_args(include_stdout=True):
if hasattr(subprocess, 'STARTUPINFO'):
si = subprocess.STARTUPINFO()
si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
env = os.environ
else:
si = None
env = None
if include_stdout:
ret = {'stdout': subprocess.PIPE}
else:
ret = {}
ret.update({'stdin':subprocess.PIPE, 'stderr':subprocess.PIPE,
'startupinfo':si,
'env':env})
return ret
def run_tesseract(input_filename, output_filename_base, extension, lang, config='', nice=0):
cmd_args = []
if not sys.platform.startswith('win32'):
if nice != 0:
cmd_args += ('nice', '-n', str(nice))
cmd_args += (tesseract_cmd, input_filename, output_filename_base)
if lang is not None:
cmd_args += ('-l', lang)
cmd_args += shlex.split(config)
if extension not in ('box', 'osd', 'tsv'):
cmd_args.append(extension)
try:
proc = (subprocess.Popen)(cmd_args, **subprocess_args())
except OSError:
raise TesseractNotFoundError()
status_code, error_string = proc.wait(), proc.stderr.read()
proc.stderr.close()
if status_code:
raise TesseractError(status_code, get_errors(error_string))
return True
def run_and_get_output(image, extension, lang=None, config='', nice=0, return_bytes=False):
temp_name, input_filename = ('', '')
try:
temp_name, input_filename = save_image(image)
kwargs = {'input_filename':input_filename,
'output_filename_base':temp_name + '_out',
'extension':extension,
'lang':lang,
'config':config,
'nice':nice}
run_tesseract(**kwargs)
filename = kwargs['output_filename_base'] + os.extsep + extension
with open(filename, 'rb') as (output_file):
if return_bytes:
return output_file.read()
return output_file.read().decode('utf-8').strip()
finally:
cleanup(temp_name)
def file_to_dict(tsv, cell_delimiter, str_col_idx):
result = {}
rows = [row.split(cell_delimiter) for row in tsv.split('\n')]
if not rows:
return result
else:
header = rows.pop(0)
if len(rows[(-1)]) < len(header):
rows[(-1)].append('')
if str_col_idx < 0:
str_col_idx += len(header)
for i, head in enumerate(header):
result[head] = [int(row[i]) if i != str_col_idx else row[i] for row in rows]
return result
def is_valid(val, _type):
if _type is int:
return val.isdigit()
else:
if _type is float:
pass
try:
float(val)
return True
except ValueError:
return False
return True
def osd_to_dict(osd):
return {OSD_KEYS[kv[0]][0]:OSD_KEYS[kv[0]][1](kv[1]) for kv in (line.split(': ') for line in osd.split('\n')) if len(kv) == 2 if is_valid(kv[1], OSD_KEYS[kv[0]][1])}
@run_once
def get_tesseract_version():
"""
Returns LooseVersion object of the Tesseract version
"""
try:
return LooseVersion((subprocess.check_output)([tesseract_cmd, '--version'], **subprocess_args(False)).decode('utf-8').split()[1].lstrip(string.printable[10:]))
except OSError:
raise TesseractNotFoundError()
def image_to_string(image, lang=None, config='', nice=0, boxes=False, output_type=Output.STRING):
"""
Returns the result of a Tesseract OCR run on the provided image to string
"""
if boxes:
print("\nWarning: Argument 'boxes' is deprecated and will be removed in future versions. Use function image_to_boxes instead.\n")
return image_to_boxes(image, lang, config, nice, output_type)
else:
args = [
image, 'txt', lang, config, nice]
if output_type == Output.DICT:
return {'text': run_and_get_output(*args)}
if output_type == Output.BYTES:
args.append(True)
return run_and_get_output(*args)
def image_to_boxes(image, lang=None, config='', nice=0, output_type=Output.STRING):
"""
Returns string containing recognized characters and their box boundaries
"""
config += ' batch.nochop makebox'
args = [image, 'box', lang, config, nice]
if output_type == Output.DICT:
box_header = 'char left bottom right top page\n'
return file_to_dict(box_header + run_and_get_output(*args), ' ', 0)
else:
if output_type == Output.BYTES:
args.append(True)
return run_and_get_output(*args)
def image_to_data(image, lang=None, config='', nice=0, output_type=Output.STRING):
"""
Returns string containing box boundaries, confidences,
and other information. Requires Tesseract 3.05+
"""
if get_tesseract_version() < '3.05':
raise TSVNotSupported()
config = '{} {}'.format('-c tessedit_create_tsv=1', config.strip()).strip()
args = [image, 'tsv', lang, config, nice]
if output_type == Output.DICT:
return file_to_dict(run_and_get_output(*args), '\t', -1)
else:
if output_type == Output.BYTES:
args.append(True)
return run_and_get_output(*args)
def image_to_osd(image, lang='osd', config='', nice=0, output_type=Output.STRING):
"""
Returns string containing the orientation and script detection (OSD)
"""
config = '{}-psm 0 {}'.format('' if get_tesseract_version() < '3.05' else '-', config.strip()).strip()
args = [
image, 'osd', lang, config, nice]
if output_type == Output.DICT:
return osd_to_dict(run_and_get_output(*args))
else:
if output_type == Output.BYTES:
args.append(True)
return run_and_get_output(*args)
def main():
if len(sys.argv) == 2:
filename, lang = sys.argv[1], None
else:
if len(sys.argv) == 4:
if sys.argv[1] == '-l':
filename, lang = sys.argv[3], sys.argv[2]
sys.stderr.write('Usage: python pytesseract.py [-l lang] input_file\n')
exit(2)
try:
print(image_to_string((Image.open(filename)), lang=lang))
except IOError:
sys.stderr.write('ERROR: Could not open file "%s"\n' % filename)
exit(1)
if __name__ == '__main__':
main()