mirror of
https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git
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Codestyle enhacements
This commit is contained in:
Patrick Jentsch
parent
aeab9b7802
commit
4518ca1c83
22
README.md
22
README.md
@ -26,8 +26,24 @@ This software implements a heavily parallelized pipeline to recognize text in PD
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3. Start the pipeline process. Check the pipeline help (`ocr --help`) for more details.
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```bash
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cd /<my_data_location>
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ocr -i input -o output -m models/<model_name> -l <language_code> <optional_pipeline_arguments>
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# or
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ocr -i input -o output -m models/* -l <language_code> <optional_pipeline_arguments>
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# <model_code> is the model filename without the ".traineddata" suffix
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ocr \
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--input-dir input \
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--output-dir output \
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--model-file models/<model>
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-m <model_code> <optional_pipeline_arguments>
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# More then one model
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ocr \
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--input-dir input \
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--output-dir output \
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--model-file models/<model1>
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--model-file models/<model2>
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-m <model1_code>+<model2_code> <optional_pipeline_arguments>
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# Instead of multiple --model-file statements, you can also use
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ocr \
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--input-dir input \
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--output-dir output \
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--model-file models/*
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-m <model1_code>+<model2_code> <optional_pipeline_arguments>
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```
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4. Check your results in the `/<my_data_location>/output` directory.
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37
hocr-combine
37
hocr-combine
@ -1,33 +1,42 @@
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#!/usr/bin/env python3.7
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# coding=utf-8
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""""Combine multiple hOCR files."""
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''' Combine multiple hOCR files. '''
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from argparse import ArgumentParser
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from lxml import html
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parser = ArgumentParser(description='Combine multiple hOCR files.')
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parser.add_argument('file', help='Input file(s)', nargs='+')
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parser.add_argument('-o', '--output-file', help='Output file', required=True)
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parser.add_argument(
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'-i', '--input-file',
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help='Input file',
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nargs='+',
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required=True
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)
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parser.add_argument(
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'-o', '--output-file',
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help='Output file',
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required=True
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)
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args = parser.parse_args()
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print(args)
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for file in args.file:
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files = []
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if file.startswith('@'):
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with open(file[1:], 'r') as f:
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files += [x for x in f.read().split("\n") if x != '']
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for input_file in args.input_file:
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input_files = []
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if input_file.startswith('@'):
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with open(input_file[1:], 'r') as f:
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input_files += [x for x in f.read().split("\n") if x != '']
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else:
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files.append(file)
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if len(files) == 0:
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input_files.append(input_file)
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if len(input_files) == 0:
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exit(1)
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hocr = html.parse(files[0])
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hocr = html.parse(input_files[0])
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hocr_body = hocr.find('body')
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for file in files[1:]:
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for ocr_page in html.parse(file).findall('//div[@class="ocr_page"]'):
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for input_file in input_files[1:]:
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for ocr_page in html.parse(input_file).findall('//div[@class="ocr_page"]'):
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hocr_body.append(ocr_page)
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23
hocr2tei
23
hocr2tei
@ -1,7 +1,7 @@
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#!/usr/bin/env python3.7
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# coding=utf-8
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""""Convert hOCR to TEI XML."""
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''' Convert hOCR to TEI XML. '''
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from argparse import ArgumentParser
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from lxml import html
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@ -10,8 +10,15 @@ import re
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parser = ArgumentParser(description='Convert hOCR to TEI XML.')
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parser.add_argument('file', help='Input file')
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parser.add_argument('-o', '--output-file', help='Output file', required=True)
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parser.add_argument(
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'-i', '--input-file',
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help='Input file'
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)
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parser.add_argument(
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'-o', '--output-file',
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help='Output file',
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required=True
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)
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args = parser.parse_args()
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@ -32,7 +39,7 @@ tei += ' </fileDesc>\n'
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tei += ' </teiHeader>\n'
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tei += ' <text>\n'
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tei += ' <body>\n'
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hocr = html.parse(args.file)
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hocr = html.parse(args.input_file)
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for ocr_page in hocr.findall('.//div[@class="ocr_page"]'):
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ocr_page_title_attrib = ocr_page.attrib.get('title')
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facsimile = re.search(r'image \"(.*?)\"', ocr_page_title_attrib).group(1)
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@ -42,11 +49,13 @@ for ocr_page in hocr.findall('.//div[@class="ocr_page"]'):
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tei += ' <p>\n'
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for ocr_line in ocr_par.findall('.//span[@class="ocr_line"]'):
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tei += ' <lb/>'
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indent = ''
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is_first_word_in_line = True
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for ocrx_word in ocr_line.findall('.//span[@class="ocrx_word"]'):
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if ocrx_word.text is not None:
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tei += indent + escape(ocrx_word.text)
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indent = ' '
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if not is_first_word_in_line:
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tei += ' '
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tei += escape(ocrx_word.text)
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is_first_word_in_line = False
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tei += '\n'
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tei += ' </p>\n'
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tei += ' </body>\n'
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179
ocr
179
ocr
@ -8,7 +8,6 @@ __version__ = '0.1.0'
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from argparse import ArgumentParser
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from pyflow import WorkflowRunner
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import json
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import multiprocessing
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import os
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import sys
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@ -52,8 +51,8 @@ class SplitInputWorkflow(WorkflowRunner):
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cmd += ' -dQUIET'
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cmd += ' -r300'
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cmd += ' -sDEVICE=png16m'
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cmd += ' -sOutputFile="{}/page-%d.png"'.format(
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os.path.join(self.job.tmp_dir, 'images')
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cmd += ' -sOutputFile="{}"'.format(
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os.path.join(self.job.tmp_dir, 'images', 'page-%d.png')
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)
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cmd += ' "{}"'.format(self.job.file)
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self.addTask(
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@ -82,13 +81,18 @@ class BinarizationWorkflow(WorkflowRunner):
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os.path.join(self.job.tmp_dir, 'images', 'inputs.txt')
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)
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cmd += ' && '
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cmd += 'ocropus-nlbin "@{}"'.format(os.path.join(self.job.tmp_dir, 'images', 'inputs.txt')) # noqa
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cmd += 'ocropus-nlbin "@{}"'.format(
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os.path.join(self.job.tmp_dir, 'images', 'inputs.txt')
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)
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cmd += ' --nocheck'
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cmd += ' --output "{}"'.format(
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os.path.join(self.job.tmp_dir, 'images'))
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os.path.join(self.job.tmp_dir, 'images')
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)
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cmd += ' --parallel "{}"'.format(n_cores)
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cmd += ' && '
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cmd += 'rm "{}"'.format(os.path.join(self.job.tmp_dir, 'images', 'inputs.txt')) # noqa
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cmd += 'rm "{}"'.format(
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os.path.join(self.job.tmp_dir, 'images', 'inputs.txt')
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)
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ocropus_nlbin_task = self.addTask(
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'ocropus_nlbin',
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command=cmd,
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@ -130,9 +134,9 @@ class BinarizationWorkflow(WorkflowRunner):
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class OCRWorkflow(WorkflowRunner):
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def __init__(self, job, lang):
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def __init__(self, job, model):
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self.job = job
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self.lang = lang
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self.model = model
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def workflow(self):
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'''
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@ -148,7 +152,7 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(self.job.tmp_dir, 'images', file),
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os.path.join(self.job.tmp_dir, file[:-4])
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)
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cmd += ' -l "{}"'.format(self.lang)
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cmd += ' -l "{}"'.format(self.model)
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cmd += ' hocr pdf txt'
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cmd += ' || '
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cmd += 'echo "${?}"'
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@ -166,6 +170,7 @@ class OCRWorkflow(WorkflowRunner):
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' # move_files #
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' ##################################################
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'''
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move_files_tasks = []
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n_cores = 1
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mem_mb = min(128, self.getMemMb())
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for i, file_extension in enumerate(['hocr', 'pdf', 'txt']):
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@ -174,24 +179,26 @@ class OCRWorkflow(WorkflowRunner):
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file_extension,
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os.path.join(self.job.tmp_dir, file_extension)
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)
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self.addTask(
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task = self.addTask(
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'move_{}_files'.format(file_extension),
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command=cmd,
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dependencies=tesseract_tasks,
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memMb=mem_mb,
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nCores=n_cores
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)
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move_files_tasks.append(task)
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cmd = 'mv "{}" "{}"'.format(
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os.path.join(self.job.tmp_dir, 'images'),
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os.path.join(self.job.output_dir)
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)
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self.addTask(
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task = self.addTask(
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'move_image_files',
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command=cmd,
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dependencies=tesseract_tasks,
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memMb=mem_mb,
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nCores=n_cores
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)
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move_files_tasks.append(task)
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class CreateHOCRWorkflow(WorkflowRunner):
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@ -256,13 +263,14 @@ class CreateHOCRWorkflow(WorkflowRunner):
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' ##################################################
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'''
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n_cores = 1
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mem_mb = min(512, self.getMemMb())
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mem_mb = min(256, self.getMemMb())
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cmd = 'ls -dv "{}/"* > "{}"'.format(
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os.path.join(self.job.tmp_dir, 'hocr'),
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os.path.join(self.job.tmp_dir, 'hocr', 'inputs.txt')
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)
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cmd += ' && '
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cmd += 'hocr-combine "@{}"'.format(
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cmd += 'hocr-combine'
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cmd += ' --input-file "@{}"'.format(
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os.path.join(self.job.tmp_dir, 'hocr', 'inputs.txt')
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)
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cmd += ' --output-file "{}.hocr"'.format(
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@ -301,12 +309,17 @@ class CreatePDFWorkflow(WorkflowRunner):
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cmd += ' -dPDFSETTINGS=/ebook'
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cmd += ' -dQUIET'
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cmd += ' -sDEVICE=pdfwrite'
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cmd += ' -sOutputFile="{}.pdf"'.format(
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os.path.join(self.job.output_dir, self.job.name)
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cmd += ' -sOutputFile="{}"'.format(
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os.path.join(self.job.output_dir, '{}.pdf'.format(self.job.name))
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)
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cmd += ' && '
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cmd += 'rm -r "{}"'.format(os.path.join(self.job.tmp_dir, 'pdf'))
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self.addTask('pdf_combine', command=cmd, memMb=mem_mb, nCores=n_cores)
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self.addTask(
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'pdf_combine',
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command=cmd,
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memMb=mem_mb,
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nCores=n_cores
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)
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class CreateTEIWorkflow(WorkflowRunner):
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@ -320,14 +333,23 @@ class CreateTEIWorkflow(WorkflowRunner):
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' ##################################################
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'''
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n_cores = 1
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mem_mb = min(512, self.getMemMb())
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cmd = 'hocr2tei "{}.hocr"'.format(
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os.path.join(self.job.output_dir, self.job.name)
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mem_mb = min(256, self.getMemMb())
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cmd = 'hocr2tei'
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cmd += ' --input-file "{}"'.format(
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os.path.join(self.job.output_dir, '{}.hocr'.format(self.job.name))
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)
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cmd += ' --output-file "{}.tei.xml"'.format(
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os.path.join(self.job.output_dir, self.job.name)
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cmd += ' --output-file "{}"'.format(
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os.path.join(
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self.job.output_dir,
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'{}.tei.xml'.format(self.job.name)
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)
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)
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self.addTask(
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'hocr2tei',
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command=cmd,
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memMb=mem_mb,
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nCores=n_cores
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)
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self.addTask('hocr2tei', command=cmd, memMb=mem_mb, nCores=n_cores)
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class CreatePoCoZipWorkflow(WorkflowRunner):
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@ -354,7 +376,12 @@ class CreatePoCoZipWorkflow(WorkflowRunner):
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cmd += 'rm -r images'
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cmd += ' && '
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cmd += 'cd -'
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task = self.addTask('zip', command=cmd, memMb=mem_mb, nCores=n_cores)
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task = self.addTask(
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'zip',
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command=cmd,
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memMb=mem_mb,
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nCores=n_cores
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)
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zip_tasks.append(task)
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@ -377,13 +404,18 @@ class CreateTxtWorkflow(WorkflowRunner):
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cmd += '"{}.txt"'.format(os.path.join(self.job.output_dir, self.job.name)) # noqa
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cmd += ' && '
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cmd += 'rm -r "{}"'.format(os.path.join(self.job.tmp_dir, 'txt'))
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self.addTask('txt_combine', command=cmd, memMb=mem_mb, nCores=n_cores)
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self.addTask(
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'txt_combine',
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command=cmd,
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memMb=mem_mb,
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nCores=n_cores
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)
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class MainWorkflow(WorkflowRunner):
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def __init__(self, input_dir, lang, output_dir, binarize):
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def __init__(self, input_dir, model, output_dir, binarize):
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self.input_dir = input_dir
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self.lang = lang
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self.model = model
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self.output_dir = output_dir
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self.binarize = binarize
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self.jobs = []
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@ -419,11 +451,13 @@ class MainWorkflow(WorkflowRunner):
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' # split-input #
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' ##################################################
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'''
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split_input_tasks = []
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for i, job in enumerate(self.jobs):
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self.addWorkflowTask(
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task = self.addWorkflowTask(
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'split_input_-_{}'.format(i),
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SplitInputWorkflow(job)
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)
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split_input_tasks.append(task)
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if self.binarize:
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'''
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@ -431,12 +465,14 @@ class MainWorkflow(WorkflowRunner):
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' # binarization #
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' ##################################################
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'''
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binarization_tasks = []
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for i, job in enumerate(self.jobs):
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self.addWorkflowTask(
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task = self.addWorkflowTask(
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'binarization_-_{}'.format(i),
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BinarizationWorkflow(job),
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dependencies='split_input_-_{}'.format(i)
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)
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binarization_tasks.append(task)
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'''
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' ##################################################
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@ -451,7 +487,7 @@ class MainWorkflow(WorkflowRunner):
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deps = 'split_input_-_{}'.format(i)
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task = self.addWorkflowTask(
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'ocr_-_{}'.format(i),
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OCRWorkflow(job, self.lang),
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OCRWorkflow(job, self.model),
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dependencies=deps
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)
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ocr_tasks.append(task)
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@ -527,55 +563,80 @@ class MainWorkflow(WorkflowRunner):
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create_txt_tasks.append(task)
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self.waitForTasks()
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output_files = []
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outputs = []
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for job in self.jobs:
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# Remove temporary directory
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os.rmdir(job.tmp_dir)
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# Track output files
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relative_output_dir = os.path.relpath(job.output_dir, start=self.output_dir) # noqa
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output_files.append(
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relative_output_dir = os.path.relpath(
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job.output_dir,
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start=self.output_dir
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)
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outputs.append(
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{
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'description': 'Post correction package (.png and .hocr).',
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'file': os.path.join(relative_output_dir, '{}.poco.zip'.format(job.name)), # noqa
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'file': os.path.join(
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relative_output_dir,
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'{}.poco.zip'.format(job.name)
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),
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'mimetype': 'application/zip'
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}
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)
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output_files.append(
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outputs.append(
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{
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'description': 'PDF file with text layer.',
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'file': os.path.join(relative_output_dir, '{}.pdf'.format(job.name)), # noqa
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'file': os.path.join(
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relative_output_dir,
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'{}.pdf'.format(job.name)
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),
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'mimetype': 'application/pdf'
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}
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)
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output_files.append(
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outputs.append(
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{
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'description': 'Plain text file.',
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'file': os.path.join(relative_output_dir, '{}.txt'.format(job.name)), # noqa
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'file': os.path.join(
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relative_output_dir,
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'{}.txt'.format(job.name)
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),
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'mimetype': 'text/plain'
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}
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)
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output_files.append(
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outputs.append(
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{
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'description': 'TEI compliant XML file.',
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'file': os.path.join(relative_output_dir, '{}.tei.xml'.format(job.name)), # noqa
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'file': os.path.join(
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relative_output_dir,
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'{}.tei.xml'.format(job.name)
|
||||
),
|
||||
'mimetype': 'application/tei+xml'
|
||||
}
|
||||
)
|
||||
with open(os.path.join(self.output_dir, 'output_records.json'), 'w') as f: # noqa
|
||||
json.dump(output_files, f, indent=4)
|
||||
with open(os.path.join(self.output_dir, 'outputs.json'), 'w') as f:
|
||||
json.dump(outputs, f, indent=4)
|
||||
|
||||
|
||||
def parse_args():
|
||||
parser = ArgumentParser(description='Pipeline for PDF file OCR processing')
|
||||
parser = ArgumentParser(
|
||||
description='Pipeline for PDF file OCR processing'
|
||||
)
|
||||
parser.add_argument(
|
||||
'-i', '--input-dir', help='Input directory', required=True)
|
||||
'-i', '--input-dir',
|
||||
help='Input directory',
|
||||
required=True
|
||||
)
|
||||
parser.add_argument(
|
||||
'-o', '--output-dir', help='Output directory', required=True)
|
||||
'-o', '--output-dir',
|
||||
help='Output directory',
|
||||
required=True
|
||||
)
|
||||
parser.add_argument(
|
||||
'-l', '--language',
|
||||
choices=[x[:-12] for x in os.listdir('/usr/local/share/tessdata')
|
||||
if x.endswith('.traineddata') and len(x) > 12],
|
||||
help='Language of the input (3-character ISO 639-2 language codes)',
|
||||
'-m', '--model',
|
||||
choices=[
|
||||
x[:-12] for x in os.listdir('/usr/local/share/tessdata')
|
||||
if x.endswith('.traineddata') and len(x) > 12
|
||||
],
|
||||
help='Name of the model to be used',
|
||||
required=True
|
||||
)
|
||||
parser.add_argument(
|
||||
@ -584,16 +645,19 @@ def parse_args():
|
||||
help='Add binarization as a preprocessing step'
|
||||
)
|
||||
parser.add_argument(
|
||||
'--log-dir', help='Logging directory (Default: --output-dir)')
|
||||
'--log-dir',
|
||||
help='Logging directory (Default: --output-dir)'
|
||||
)
|
||||
parser.add_argument(
|
||||
'--mem-mb',
|
||||
help='Amount of system memory to be used (Default: min(--n-cores * 512, available system memory))', # noqa
|
||||
help='Amount of system memory to be used '
|
||||
'(Default: min(--n-cores * 512, available system memory))',
|
||||
type=int
|
||||
)
|
||||
parser.add_argument(
|
||||
'--n-cores',
|
||||
default=min(4, multiprocessing.cpu_count()),
|
||||
help='Number of CPU threads to be used (Default: min(4, CPU count))',
|
||||
default=1,
|
||||
help='Number of CPU threads to be used',
|
||||
type=int
|
||||
)
|
||||
parser.add_argument(
|
||||
@ -620,10 +684,17 @@ def parse_args():
|
||||
def main():
|
||||
args = parse_args()
|
||||
main_workflow = MainWorkflow(
|
||||
args.input_dir, args.language, args.output_dir, args.binarize)
|
||||
args.input_dir,
|
||||
args.model,
|
||||
args.output_dir,
|
||||
args.binarize
|
||||
)
|
||||
main_workflow.collect_jobs()
|
||||
retval = main_workflow.run(
|
||||
dataDirRoot=args.log_dir, memMb=args.mem_mb, nCores=args.n_cores)
|
||||
dataDirRoot=args.log_dir,
|
||||
memMb=args.mem_mb,
|
||||
nCores=args.n_cores
|
||||
)
|
||||
sys.exit(retval)
|
||||
|
||||
|
||||
|
||||
@ -17,7 +17,7 @@ GID = str(os.getgid())
|
||||
parser = ArgumentParser(add_help=False)
|
||||
parser.add_argument('-i', '--input-dir')
|
||||
parser.add_argument('-o', '--output-dir')
|
||||
parser.add_argument('-m', '--model', action='extend', dest='models', nargs='+')
|
||||
parser.add_argument('-t', '--model-file', action='extend', nargs='+')
|
||||
parser.add_argument('--log-dir')
|
||||
args, remaining_args = parser.parse_known_args()
|
||||
|
||||
@ -30,9 +30,9 @@ if args.output_dir is not None:
|
||||
mapping = f'{os.path.abspath(args.output_dir)}:{CONTAINER_OUTPUT_DIR}'
|
||||
cmd += ['-v', mapping]
|
||||
remaining_args += ['-o', CONTAINER_OUTPUT_DIR]
|
||||
if args.models is not None:
|
||||
for model in args.models:
|
||||
mapping = f'{os.path.abspath(model)}:{CONTAINER_MODELS_DIR}/{os.path.basename(model)}' # noqa
|
||||
if args.model_file is not None:
|
||||
for model_file in args.model_file:
|
||||
mapping = f'{os.path.abspath(model_file)}:{CONTAINER_MODELS_DIR}/{os.path.basename(model_file)}' # noqa
|
||||
cmd += ['-v', mapping]
|
||||
if args.log_dir is not None:
|
||||
mapping = '{os.path.abspath(args.log_dir)}:{CONTAINER_LOG_DIR}'
|
||||
|
||||
Loading…
Reference in New Issue
Block a user