Don't process files in subdirectories

.gitlab-ci.yml

@@ -1,8 +1,5 @@
 image: docker:19.03.13
 
-variables:
-  DOCKER_TLS_CERTDIR: "/certs"
-
 services:
   - docker:19.03.13-dind
 
@@ -10,6 +7,10 @@ stages:
   - build
   - push
 
+variables:
+  DOCKER_TLS_CERTDIR: "/certs"
+  INTERMEDIATE_IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_REF_NAME-$CI_COMMIT_SHA
+
 .reg_setup:
   before_script:
     - apk add --no-cache curl
@@ -28,8 +29,6 @@ build_image:
   stage: build
   tags:
     - docker
-  variables:
-    INTERMEDIATE_IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
 
 push_master:
   extends:
@@ -47,7 +46,6 @@ push_master:
     - docker
   variables:
     IMAGE_TAG: $CI_REGISTRY_IMAGE:latest
-    INTERMEDIATE_IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
 
 push_other:
   extends:
@@ -68,4 +66,3 @@ push_other:
     - docker
   variables:
     IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_REF_NAME
-    INTERMEDIATE_IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA

Dockerfile

@@ -7,41 +7,47 @@ LABEL authors="Patrick Jentsch <p.jentsch@uni-bielefeld.de>, Stephan Porada <por
 ENV LANG=C.UTF-8
 
 
-RUN apt-get update
+RUN apt-get update \
+ && apt-get install --no-install-recommends --yes \
+      wget
 
 
-# Install pipeline dependencies #
+# Install the OCR pipeline and it's dependencies #
 ## Install pyFlow ##
-ENV PYFLOW_RELEASE=1.1.20
+ENV PYFLOW_VERSION=1.1.20
-ADD "https://github.com/Illumina/pyflow/releases/download/v${PYFLOW_RELEASE}/pyflow-${PYFLOW_RELEASE}.tar.gz" .
+RUN wget --no-check-certificate --quiet \
-RUN tar -xzf "pyflow-${PYFLOW_RELEASE}.tar.gz" \
+      "https://github.com/Illumina/pyflow/releases/download/v${PYFLOW_VERSION}/pyflow-${PYFLOW_VERSION}.tar.gz" \
- && cd "pyflow-${PYFLOW_RELEASE}" \
+ && tar -xzf "pyflow-${PYFLOW_VERSION}.tar.gz" \
+ && cd "pyflow-${PYFLOW_VERSION}" \
  && apt-get install --no-install-recommends --yes \
       python2.7 \
  && python2.7 setup.py build install \
- && cd .. \
+ && cd - > /dev/null \
- && rm -r "pyflow-${PYFLOW_RELEASE}" "pyflow-${PYFLOW_RELEASE}.tar.gz"
+ && rm -r "pyflow-${PYFLOW_VERSION}" "pyflow-${PYFLOW_VERSION}.tar.gz"
 
 
 ## Install ocropy ##
-ENV OCROPY_RELEASE=1.3.3
+ENV OCROPY_VERSION=1.3.3
-ADD "https://github.com/tmbdev/ocropy/archive/v${OCROPY_RELEASE}.tar.gz" .
+RUN wget --no-check-certificate --quiet \
-RUN tar -xzf "v${OCROPY_RELEASE}.tar.gz" \
+      "https://github.com/tmbdev/ocropy/archive/v${OCROPY_VERSION}.tar.gz" \
- && cd "ocropy-${OCROPY_RELEASE}" \
+ && tar -xzf "v${OCROPY_VERSION}.tar.gz" \
+ && cd "ocropy-${OCROPY_VERSION}" \
  && apt-get install --no-install-recommends --yes \
+      python2.7 \
       python-pil \
       python-tk \
       $(cat PACKAGES) \
  && python2.7 setup.py install \
- && cd .. \
+ && cd - > /dev/null \
- && rm -r "ocropy-${OCROPY_RELEASE}" "v${OCROPY_RELEASE}.tar.gz"
+ && rm -r "ocropy-${OCROPY_VERSION}" "v${OCROPY_VERSION}.tar.gz"
 
 
 ## Install Tesseract OCR ##
-ENV TESSERACT_RELEASE=4.1.1
+ENV TESSERACT_VERSION=4.1.1
-ADD "https://github.com/tesseract-ocr/tesseract/archive/${TESSERACT_RELEASE}.tar.gz" .
+RUN wget --no-check-certificate --quiet \
-RUN tar -xzf "${TESSERACT_RELEASE}.tar.gz" \
+      "https://github.com/tesseract-ocr/tesseract/archive/${TESSERACT_VERSION}.tar.gz" \
- && cd "tesseract-${TESSERACT_RELEASE}" \
+ && tar -xzf "${TESSERACT_VERSION}.tar.gz" \
+ && cd "tesseract-${TESSERACT_VERSION}" \
  && apt-get install --no-install-recommends --yes \
       autoconf \
       automake \
@@ -60,35 +66,24 @@ RUN tar -xzf "${TESSERACT_RELEASE}.tar.gz" \
  && make install \
  && ldconfig \
  && cd - > /dev/null \
- && rm -r "tesseract-${TESSERACT_RELEASE}" "${TESSERACT_RELEASE}.tar.gz"
+ && rm -r "tesseract-${TESSERACT_VERSION}" "${TESSERACT_VERSION}.tar.gz"
 
-ENV TESSDATA_BEST_RELEASE=4.1.0
+ENV TESSERACT_MODELS="ara,chi_tra,dan,deu,ell,eng,enm,fra,frk,frm,ita,por,rus,spa"
-ADD "https://github.com/tesseract-ocr/tessdata_best/archive/${TESSDATA_BEST_RELEASE}.tar.gz" .
+ENV TESSDATA_BEST_VERSION=4.1.0
-RUN tar -xzf "${TESSDATA_BEST_RELEASE}.tar.gz" \
+RUN wget --no-check-certificate --quiet \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/ara.traineddata" "/usr/local/share/tessdata/" \
+      "https://github.com/tesseract-ocr/tessdata_best/archive/${TESSDATA_BEST_VERSION}.tar.gz" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/chi_tra.traineddata" "/usr/local/share/tessdata/" \
+ && tar -xzf "${TESSDATA_BEST_VERSION}.tar.gz" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/dan.traineddata" "/usr/local/share/tessdata/" \
+ && for tesseract_model in $(echo ${TESSERACT_MODELS} | tr "," "\n"); do mv "tessdata_best-${TESSDATA_BEST_VERSION}/${tesseract_model}.traineddata" "/usr/local/share/tessdata/"; done \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/deu.traineddata" "/usr/local/share/tessdata/" \
+ && rm -r "tessdata_best-${TESSDATA_BEST_VERSION}" "${TESSDATA_BEST_VERSION}.tar.gz"
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/ell.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/eng.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/enm.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/fra.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/frk.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/frm.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/ita.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/por.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/rus.traineddata" "/usr/local/share/tessdata/" \
- && mv "tessdata_best-${TESSDATA_BEST_RELEASE}/spa.traineddata" "/usr/local/share/tessdata/" \
- && rm -r "tessdata_best-${TESSDATA_BEST_RELEASE}" "${TESSDATA_BEST_RELEASE}.tar.gz"
 
 
 ## Further dependencies ##
 RUN apt-get install --no-install-recommends --yes \
+      procps \
       ghostscript \
-      python-pip \
       python3.7 \
-      zip \
+      rename \
- && pip install natsort
+      zip
 
 
 ## Install Pipeline ##

README.md

@@ -3,13 +3,14 @@
 This software implements a heavily parallelized pipeline to recognize text in PDF files. It is used for nopaque's OCR service but you can also use it standalone, for that purpose a convenient wrapper script is provided.
 
 ## Software used in this pipeline implementation
-- Official Debian Docker image (buster-slim) and programs from its free repositories: https://hub.docker.com/_/debian
+
+- Official Debian Docker image (buster-slim): https://hub.docker.com/_/debian
+  - Software from Debian Buster's free repositories
 - ocropy (1.3.3): https://github.com/ocropus/ocropy/releases/tag/v1.3.3
 - pyFlow (1.1.20): https://github.com/Illumina/pyflow/releases/tag/v1.1.20
 - Tesseract OCR (4.1.1): https://github.com/tesseract-ocr/tesseract/releases/tag/4.1.1
 - tessdata_best (4.1.0): https://github.com/tesseract-ocr/tessdata_best/releases/tag/4.1.0
 
-
 ## Use this image
 
 1. Create input and output directories for the pipeline.
@@ -19,10 +20,10 @@ mkdir -p /<my_data_location>/input /<my_data_location>/output
 
 2. Place your PDF files inside `/<my_data_location>/input`. Files should all contain text of the same language.
 
-3. Start the pipeline process. Check the [Pipeline arguments](#pipeline-arguments) section for more details.
+3. Start the pipeline process. Check the pipeline help (`ocr --help`) for more details.
 ```
 # Option one: Use the wrapper script
-## Install the wrapper script (only on first run). Get it from https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr/-/raw/1.0.0/wrapper/ocr, make it executeable and add it to your ${PATH}
+## Install the wrapper script (only on first run). Get it from https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr/-/raw/development/wrapper/ocr, make it executeable and add it to your ${PATH}
 cd /<my_data_location>
 ocr -i input -l <language_code> -o output <optional_pipeline_arguments>
 
@@ -33,51 +34,11 @@ docker run \
     -u $(id -u $USER):$(id -g $USER) \
     -v /<my_data_location>/input:/input \
     -v /<my_data_location>/output:/output \
-    gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:1.0.0 \
+    gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:development \
-        -i /input \
+        -i /ocr_pipeline/input \
-        -l <language_code>
+        -l <language_code> \
-        -o /output \
+        -o /ocr_pipeline/output \
         <optional_pipeline_arguments>
 ```
 
 4. Check your results in the `/<my_data_location>/output` directory.
-```
-
-### Pipeline arguments
-
-`-l languagecode`
-* Tells tesseract which language will be used.
-* options = ara (Arabic), chi_tra (Chinese - Traditional), dan (Danish), deu (German), ell (Greek, Modern (1453-)), eng (English), enm (Middle englisch), fra (French), frk (German Fraktur), frm (Middle french), ita (Italian), por (Portuguese), rus (Russian), spa (Spanish)
-* required = True
-
-`--keep-intermediates`
-* If set, all intermediate files created during the OCR process will be
-kept.
-* default = False
-* required = False
-
-`--nCores corenumber`
-* Sets the number of CPU cores being used during the OCR process.
-* default = min(4, multiprocessing.cpu_count())
-* required = False
-
-`--skip-binarisation`
-* Used to skip binarization with ocropus. If skipped, only the tesseract binarization is used.
-* default = False
-
-``` bash
-# Example with all arguments used
-docker run \
-    --rm \
-    -it \
-    -u $(id -u $USER):$(id -g $USER) \
-    -v "$HOME"/ocr/input:/input \
-    -v "$HOME"/ocr/output:/output \
-    gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:1.0.0 \
-        -i /input \
-        -l eng \
-        -o /output \
-        --keep_intermediates \
-        --nCores 8 \
-        --skip-binarisation
-```

hocrtotei

@@ -1,49 +1,57 @@
 #!/usr/bin/env python3.7
 # coding=utf-8
 
-""""Merges hOCR files into a TEI file."""
+""""Convert hOCR to TEI XML."""
 
 from xml.sax.saxutils import escape
 from argparse import ArgumentParser
+import re
 import xml.etree.ElementTree as ET
 
-parser = ArgumentParser(description='Merges hOCR files into a TEI file.')
+parser = ArgumentParser(description='Convert hOCR to TEI XML.')
-parser.add_argument('i', metavar='hOCR-sourcefile', nargs='+')
+parser.add_argument('input', metavar='Path to hOCR input file')
-parser.add_argument('o', metavar='TEI-destfile',)
+parser.add_argument('output', metavar='Path to TEI output file')
 args = parser.parse_args()
 
-output_file = open(args.o, 'w')
+tei = ''
-output_file.write(
+tei += '<TEI xmlns="http://www.tei-c.org/ns/1.0">\n'
-      '<?xml version="1.0" encoding="UTF-8"?>\n'
+tei += '  <teiHeader>\n'
-    + '<TEI xmlns="http://www.tei-c.org/ns/1.0" xml:id="dtabf">\n'
+tei += '    <fileDesc>\n'
-    + '    <teiHeader>\n'
+tei += '      <titleStmt>\n'
-    + '        <fileDesc>\n'
+tei += '        <title></title>\n'
-    + '            <titleStmt/>\n'
+tei += '      </titleStmt>\n'
-    + '            <publicationStmt/>\n'
+tei += '      <publicationStmt>\n'
-    + '            <sourceDesc/>\n'
+tei += '        <p></p>\n'
-    + '        </fileDesc>\n'
+tei += '      </publicationStmt>\n'
-    + '        <encodingDesc/>\n'
+tei += '      <sourceDesc>\n'
-    + '        <profileDesc/>\n'
+tei += '        <p></p>\n'
-    + '    </teiHeader>\n'
+tei += '      </sourceDesc>\n'
-    + '    <text>\n'
+tei += '    </fileDesc>\n'
-    + '        <body>\n'
+tei += '  </teiHeader>\n'
-)
+tei += '  <text>\n'
-for index, input_file in enumerate(args.i):
+tei += '    <body>\n'
-    tree = ET.parse(input_file)
+# Conversion start
-    output_file.write('            <pb n="%i"/>\n' % (index + 1))
+hocr = ET.parse(args.input)
-    for para in tree.findall('.//*[@class="ocr_par"]'):
+for page in hocr.findall('.//*[@class="ocr_page"]'):
-        output_file.write('            <p>\n')
+    page_properties = page.attrib.get('title')
+    facsimile = re.search(r'image \"(.*?)\"', page_properties).group(1)
+    page_number = re.search(r'ppageno (\d+)', page_properties).group(1)
+    tei += '      <pb facs="{}" n="{}"/>\n'.format(facsimile, page_number)
+    for para in page.findall('.//*[@class="ocr_par"]'):
+        tei += '      <p>\n'
         for line in para.findall('.//*[@class="ocr_line"]'):
-            first_word_in_line = True
+            tei += '        <lb/>'
+            indent = ''
             for word in line.findall('.//*[@class="ocrx_word"]'):
                 if word.text is not None:
-                    output_file.write(('                ' if first_word_in_line else ' ') + escape(word.text.strip()))
+                    tei += indent + escape(word.text.strip())
-                    first_word_in_line = False
+                    indent = ' '
-            if not first_word_in_line:
+            tei += '\n'
-                output_file.write('<lb/>\n')
+        tei += '      </p>\n'
-        output_file.write('            </p>\n')
+# Conversion end
-output_file.write(
+tei += '    </body>\n'
-      '        </body>\n'
+tei += '  </text>\n'
-    + '    </text>\n'
+tei += '</TEI>\n'
-    + '</TEI>')
+
-output_file.close()
+with open(args.output, 'w') as tei_file:
+    tei_file.write(tei)

ocr

@@ -1,55 +1,17 @@
 #!/usr/bin/env python2.7
 # coding=utf-8
 
-"""An OCR pipeline for PDF file processing."""
+"""OCR pipeline for PDF file processing."""
 
 __author__ = 'Patrick Jentsch <p.jentsch@uni-bielefeld.de>,' \
              'Stephan Porada <porada@posteo.de>'
 __version__ = '1.0.0'
 
 from argparse import ArgumentParser
-from natsort import natsorted
 from pyflow import WorkflowRunner
 import multiprocessing
 import os
 import sys
-import tempfile
-
-
-TESSERACT_MODELS = ['deu', 'eng', 'enm', 'fra', 'frk', 'frm', 'ita', 'por', 'spa']  # noqa
-
-
-def parse_args():
-    parser = ArgumentParser(
-        description='An OCR pipeline for PDF file processing.',
-        prog='OCR pipeline'
-    )
-    parser.add_argument('-i', '--input-directory',
-                        help='Input directory (only PDF files get processed)',
-                        required=True)
-    parser.add_argument('-o', '--output-directory',
-                        help='Output directory',
-                        required=True)
-    parser.add_argument('-l', '--language',
-                        choices=TESSERACT_MODELS,
-                        required=True)
-    parser.add_argument('--binarize',
-                        action='store_true',
-                        help='Use ocropy binarisation as preprocessing step.')
-    parser.add_argument('--log-dir')
-    parser.add_argument('--n-cores',
-                        default=min(4, multiprocessing.cpu_count()),
-                        help='Total number of cores available.',
-                        type=int)
-    parser.add_argument('--intermediate-directory')
-    parser.add_argument('--zip',
-                        help='Zips all results in different archives depending'
-                             ' on result types. Also zips everything into one '
-                             'archive.')
-    parser.add_argument('-v', '--version',
-                        action='version',
-                        version='%(prog)s {}'.format(__version__))
-    return parser.parse_args()
 
 
 class OCRPipelineJob:
@@ -61,41 +23,23 @@ class OCRPipelineJob:
     Arguments:
     file -- Path to the file
     output_dir -- Path to a directory, where job results a stored
-    intermediate_dir -- Path to a directory, where intermediate files are
-                        stored.
     """
 
-    def __init__(self, file, output_dir, intermediate_dir):
+    def __init__(self, file, output_dir):
         self.file = file
-        self.intermediate_dir = intermediate_dir
         self.name = os.path.basename(file).rsplit('.', 1)[0]
         self.output_dir = output_dir
+        self.page_dir = os.path.join(output_dir, 'pages')
 
 
 class OCRPipeline(WorkflowRunner):
-    def __init__(self, input_dir, lang, output_dir, binarize, intermediate_dir,
+    def __init__(self, input_dir, lang, output_dir, binarize, zip):
-                 n_cores, zip):
         self.input_dir = input_dir
         self.lang = lang
         self.output_dir = output_dir
         self.binarize = binarize
-        if intermediate_dir is None:
+        self.zip = zip
-            self.intermediate_dir = os.path.join(output_dir, 'tmp')
+        self.jobs = collect_jobs(self.input_dir, self.output_dir)
-        else:
-            self.intermediate_dir = tempfile.mkdtemp(dir=intermediate_dir)
-        self.n_cores = n_cores
-        if zip is None:
-            self.zip = zip
-        else:
-            if zip.lower().endswith('.zip'):
-                # Remove .zip file extension if provided
-                self.zip = zip[:-4]
-                self.zip = self.zip if self.zip else 'output'
-            else:
-                self.zip = zip
-        self.jobs = collect_jobs(self.input_dir,
-                                 self.output_dir,
-                                 self.intermediate_dir)
 
     def workflow(self):
         if not self.jobs:
@@ -108,10 +52,7 @@ class OCRPipeline(WorkflowRunner):
         '''
         setup_output_directory_tasks = []
         for i, job in enumerate(self.jobs):
-            cmd = 'mkdir'
+            cmd = 'mkdir -p "{}"'.format(job.page_dir)
-            cmd += ' -p'
-            cmd += ' "{}"'.format(job.intermediate_dir)
-            cmd += ' "{}"'.format(os.path.join(job.output_dir, 'poco'))
             lbl = 'setup_output_directory_-_{}'.format(i)
             task = self.addTask(command=cmd, label=lbl)
             setup_output_directory_tasks.append(task)
@@ -122,10 +63,10 @@ class OCRPipeline(WorkflowRunner):
         ' ##################################################
         '''
         split_input_tasks = []
-        n_cores = min(self.n_cores, max(1, int(self.n_cores / len(self.jobs))))
+        n_cores = max(1, int(self.getNCores() / len(self.jobs)))
         for i, job in enumerate(self.jobs):
             input_file = job.file
-            output_file = '{}/page-%d.tif'.format(job.intermediate_dir)
+            output_file = '{}/page-%d.tif'.format(job.page_dir)
             cmd = 'gs'
             cmd += ' -dBATCH'
             cmd += ' -dNOPAUSE'
@@ -138,15 +79,24 @@ class OCRPipeline(WorkflowRunner):
             cmd += ' "{}"'.format(input_file)
             deps = 'setup_output_directory_-_{}'.format(i)
             lbl = 'split_input_-_{}'.format(i)
-            task = self.addTask(command=cmd, dependencies=deps, label=lbl, nCores=n_cores)  # noqa
+            task = self.addTask(command=cmd, dependencies=deps, label=lbl,
+                                nCores=n_cores)
             split_input_tasks.append(task)
 
         if self.binarize:
             '''
-            ' The binarization_tasks list is created based on the output files
+            ' ##################################################
-            ' of the split_tasks. So wait until they are finished.
+            ' # pre binarization                               #
+            ' ##################################################
             '''
-            self.waitForTasks()
+            pre_binarization_tasks = []
+            for i, job in enumerate(self.jobs):
+                input_file = os.path.join(job.output_dir, 'binarization_input_files.txt')  # noqa
+                cmd = 'ls -dv "{}/"* >> "{}"'.format(job.page_dir, input_file)
+                deps = 'split_input_-_{}'.format(i)
+                lbl = 'pre_binarization_-_{}'.format(i)
+                task = self.addTask(command=cmd, dependencies=deps, label=lbl)
+                pre_binarization_tasks.append(task)
 
             '''
             ' ##################################################
@@ -154,52 +104,55 @@ class OCRPipeline(WorkflowRunner):
             ' ##################################################
             '''
             binarization_tasks = []
-            '''
+            n_cores = self.getNCores()
-            ' We run ocropus-nlbin with either four or, if there are less then
+            mem_mb = self.getMemMb()
-            ' four cores available for this workflow, the available core
-            ' number.
-            '''
-            n_cores = min(4, self.n_cores)
             for i, job in enumerate(self.jobs):
-                input_dir = job.intermediate_dir
+                input_file = os.path.join(job.output_dir, 'binarization_input_files.txt')  # noqa
-                output_dir = job.intermediate_dir
+                cmd = 'ocropus-nlbin "@{}"'.format(input_file)
-                files = filter(lambda x: x.endswith('.tif'), os.listdir(input_dir))  # noqa
-                files = natsorted(files)
-                files = map(lambda x: os.path.join(input_dir, x), files)
-                cmd = 'ocropus-nlbin "{}"'.format('" "'.join(files))
                 cmd += ' --nocheck'
-                cmd += ' --output "{}"'.format(output_dir)
+                cmd += ' --output "{}"'.format(job.page_dir)
                 cmd += ' --parallel "{}"'.format(n_cores)
-                print(cmd)
+                deps = 'pre_binarization_-_{}'.format(i)
-                deps = 'split_input_-_{}'.format(i)
                 lbl = 'binarization_-_{}'.format(i)
-                task = self.addTask(command=cmd, dependencies=deps, label=lbl, nCores=n_cores)  # noqa
+                task = self.addTask(command=cmd, dependencies=deps, label=lbl,
+                                    memMb=mem_mb, nCores=n_cores)
                 binarization_tasks.append(task)
 
-            self.waitForTasks()
-
             '''
             ' ##################################################
-            ' # Renaming of binarization output files          #
+            ' # post binarization                              #
             ' ##################################################
             '''
+            post_binarization_tasks = []
             for i, job in enumerate(self.jobs):
-                input_dir = job.intermediate_dir
+                input_file = os.path.join(job.output_dir, 'binarization_input_files.txt')  # noqa
-                output_dir = job.intermediate_dir
+                cmd = 'rm "{}"'.format(input_file)
-                files = filter(lambda x: x.endswith('.bin.png'), os.listdir(input_dir))  # noqa
+                cmd += ' && '
-                for file in files:
+                cmd += 'cd "{}"'.format(job.page_dir)
-                    # int conversion is done in order to trim leading zeros
+                cmd += ' && '
-                    page_number = int(file.split('.', 1)[0])
+                cmd += 'rm *.{nrm.png,tif}'
-                    output_file = 'page-{}.bin.png'.format(page_number)
+                cmd += ' && '
-                    os.rename(os.path.join(output_dir, file),
+                cmd += 'rename \'s/^0*/page-/\' *'
-                              os.path.join(output_dir, output_file))
+                cmd += ' && '
+                cmd += 'cd -'
+                deps = 'binarization_-_{}'.format(i)
+                lbl = 'post_binarization_-_{}'.format(i)
+                task = self.addTask(command=cmd, dependencies=deps, label=lbl)
+                post_binarization_tasks.append(task)
 
         '''
-        ' The ocr_tasks are created based of the output files of either the
+        ' ##################################################
-        ' split_tasks or binarization_tasks. So wait until they are
+        ' # pre ocr                                        #
-        ' finished.
+        ' ##################################################
         '''
-        self.waitForTasks()
+        pre_ocr_tasks = []
+        for i, job in enumerate(self.jobs):
+            input_file = os.path.join(job.output_dir, 'ocr_input_files.txt')
+            cmd = 'ls -dv "{}/"* >> "{}"'.format(job.page_dir, input_file)
+            deps = 'post_binarization_-_{}'.format(i) if self.binarize else 'split_input_-_{}'.format(i)  # noqa
+            lbl = 'pre_ocr_-_{}'.format(i)
+            task = self.addTask(command=cmd, dependencies=deps, label=lbl)
+            pre_ocr_tasks.append(task)
 
         '''
         ' ##################################################
@@ -207,157 +160,51 @@ class OCRPipeline(WorkflowRunner):
         ' ##################################################
         '''
         ocr_tasks = []
+        n_cores = min(4, self.getNCores())
+        mem_mb = min(n_cores * 2048, self.getMemMb())
         for i, job in enumerate(self.jobs):
-            input_dir = job.intermediate_dir
+            input_file = os.path.join(job.output_dir, 'ocr_input_files.txt')
-            output_dir = job.intermediate_dir
+            output_file_base = os.path.join(job.output_dir, job.name)
-            files = os.listdir(input_dir)
+            cmd = 'tesseract "{}" "{}"'.format(input_file, output_file_base)
-            if self.binarize:
+            cmd += ' -l "{}"'.format(self.lang)
-                deps = 'binarization_-_{}'.format(i)
+            cmd += ' hocr pdf txt'
-                files = filter(lambda x: x.endswith('.bin.png'), files)
+            deps = 'pre_ocr_-_{}'.format(i)
-            else:
+            lbl = 'ocr_-_{}'.format(i)
-                deps = 'split_input_-_{}'.format(i)
+            task = self.addTask(command=cmd, dependencies=deps,
-                files = filter(lambda x: x.endswith('.tif'), files)
+                                env={'OMP_THREAD_LIMIT': '{}'.format(n_cores)},
-            files = natsorted(files)
+                                label=lbl, memMb=mem_mb, nCores=n_cores)
-            files = map(lambda x: os.path.join(input_dir, x), files)
+            ocr_tasks.append(task)
-            for j, file in enumerate(files):
-                if self.binarize:
-                    output_file_base = os.path.join(output_dir, file.rsplit('.', 2)[0])  # noqa
-                else:
-                    output_file_base = os.path.join(output_dir, file.rsplit('.', 1)[0])  # noqa
-                cmd = 'tesseract "{}" "{}"'.format(file, output_file_base)
-                cmd += ' -l "{}"'.format(self.lang)
-                cmd += ' hocr pdf txt'
-                cmd += ' && '
-                cmd += 'sed -i \'s+{}/++g\' "{}".hocr'.format(input_dir, output_file_base)  # noqa
-                lbl = 'ocr_-_{}-{}'.format(i, j)
-                task = self.addTask(command=cmd, dependencies=deps, label=lbl, env={"OMP_THREAD_LIMIT": "1"})  # noqa
-                ocr_tasks.append(task)
-
-        '''
-        ' The following jobs are created based of the output files of the
-        ' ocr_tasks. So wait until they are finished.
-        '''
-        self.waitForTasks()
 
         '''
         ' ##################################################
-        ' # combined pdf creation                          #
+        ' # post ocr                                       #
         ' ##################################################
         '''
-        combined_pdf_creation_tasks = []
+        post_ocr_tasks = []
-        n_cores = min(self.n_cores, max(1, int(self.n_cores / len(self.jobs))))
         for i, job in enumerate(self.jobs):
-            input_dir = job.intermediate_dir
+            input_file = os.path.join(job.output_dir, 'ocr_input_files.txt')
-            output_file = os.path.join(job.output_dir, '{}.pdf'.format(job.name))  # noqa
+            output_file_base = os.path.join(job.output_dir, job.name)
-            files = filter(lambda x: x.endswith('.pdf'), os.listdir(input_dir))
+            cmd = 'rm "{}"'.format(input_file)
-            files = natsorted(files)
+            cmd += ' && '
-            files = map(lambda x: os.path.join(input_dir, x), files)
+            cmd += 'sed -i \'s+{}+pages+g\' "{}.hocr"'.format(job.page_dir, output_file_base)  # noqa
-            cmd = 'gs'
+            deps = 'ocr_-_{}'.format(i)
-            cmd += ' -dBATCH'
+            lbl = 'post_ocr_-_{}'.format(i)
-            cmd += ' -dNOPAUSE'
-            cmd += ' -dNumRenderingThreads={}'.format(n_cores)
-            cmd += ' -dPDFSETTINGS=/ebook'
-            cmd += ' -dQUIET'
-            cmd += ' -sDEVICE=pdfwrite'
-            cmd += ' "-sOutputFile={}"'.format(output_file)
-            cmd += ' "{}"'.format('" "'.join(files))
-            deps = filter(lambda x: x.startswith('ocr_-_{}'.format(i)), ocr_tasks)  # noqa
-            lbl = 'combined_pdf_creation_-_{}'.format(i)
-            task = self.addTask(command=cmd, dependencies=deps, label=lbl, nCores=n_cores)  # noqa
-            combined_pdf_creation_tasks.append(task)
-
-        '''
-        ' ##################################################
-        ' # combined txt creation                          #
-        ' ##################################################
-        '''
-        combined_txt_creation_tasks = []
-        for i, job in enumerate(self.jobs):
-            input_dir = job.intermediate_dir
-            output_file = os.path.join(job.output_dir, '{}.txt'.format(job.name))  # noqa
-            files = filter(lambda x: x.endswith('.txt'), os.listdir(input_dir))
-            files = natsorted(files)
-            files = map(lambda x: os.path.join(input_dir, x), files)
-            cmd = 'cat "{}" > "{}"'.format('" "'.join(files), output_file)
-            deps = filter(lambda x: x.startswith('ocr_-_{}'.format(i)), ocr_tasks)  # noqa
-            lbl = 'combined_txt_creation_-_{}'.format(i)
             task = self.addTask(command=cmd, dependencies=deps, label=lbl)
-            combined_txt_creation_tasks.append(task)
+            post_ocr_tasks.append(task)
 
         '''
         ' ##################################################
-        ' # tei p5 creation                                #
+        ' # hocr to tei                                    #
         ' ##################################################
         '''
-        tei_p5_creation_tasks = []
+        hocr_to_tei_tasks = []
         for i, job in enumerate(self.jobs):
-            input_dir = job.intermediate_dir
+            output_file_base = os.path.join(job.output_dir, job.name)
-            output_file = os.path.join(job.output_dir, '{}.xml'.format(job.name))  # noqa
+            cmd = 'hocrtotei "{}.hocr" "{}.xml"'.format(output_file_base, output_file_base)  # noqa
-            files = filter(lambda x: x.endswith('.hocr'),
+            deps = 'post_ocr_-_{}'.format(i)
-                           os.listdir(input_dir))
+            lbl = 'hocr_to_tei_-_{}'.format(i)
-            files = natsorted(files)
-            files = map(lambda x: os.path.join(input_dir, x), files)
-            cmd = 'hocrtotei "{}" "{}"'.format('" "'.join(files),
-                                               output_file)
-            deps = filter(lambda x: x.startswith('ocr_-_{}'.format(i)), ocr_tasks)  # noqa
-            lbl = 'tei_p5_creation_-_{}'.format(i)
             task = self.addTask(command=cmd, dependencies=deps, label=lbl)
-            tei_p5_creation_tasks.append(task)
+            hocr_to_tei_tasks.append(task)
-
-        '''
-        ' ##################################################
-        ' # poco bundle creation                           #
-        ' ##################################################
-        '''
-        poco_bundle_creation_tasks = []
-        for i, job in enumerate(self.jobs):
-            input_dir = job.intermediate_dir
-            output_dir = os.path.join(job.output_dir, 'poco')
-            files = os.listdir(input_dir)
-            if self.binarize:
-                files = filter(lambda x: x.endswith(('.bin.png', '.hocr')), files)  # noqa
-            else:
-                files = filter(lambda x: x.endswith(('.tif', '.hocr')), files)
-            files = natsorted(files)
-            files = map(lambda x: os.path.join(input_dir, x), files)
-            cmd = 'mv "{}" "{}"'.format('" "'.join(files), output_dir)
-            deps = filter(lambda x: x.startswith('ocr_-_{}'.format(i)), ocr_tasks)  # noqa
-            deps.append('tei_p5_creation_-_{}'.format(i))
-            lbl = 'poco_bundle_creation_-_{}'.format(i)
-            task = self.addTask(command=cmd, dependencies=deps, label=lbl)
-            poco_bundle_creation_tasks.append(task)
-
-        '''
-        ' The following jobs are created based of the output files of the
-        ' combined_pdf_creation_tasks. So wait until they are finished.
-        '''
-        self.waitForTasks()
-
-        '''
-        ' ##################################################
-        ' # cleanup                                        #
-        ' ##################################################
-        '''
-        cleanup_tasks = []
-        for i, job in enumerate(self.jobs):
-            input_dir = job.intermediate_dir
-            cmd = 'rm -r "{}"'.format(input_dir)
-            deps = ['combined_pdf_creation_-_{}'.format(i),
-                    'combined_txt_creation_-_{}'.format(i),
-                    'poco_bundle_creation_-_{}'.format(i),
-                    'tei_p5_creation_-_{}'.format(i)]
-            lbl = 'job_cleanup_-_{}'.format(i)
-            task = self.addTask(command=cmd, dependencies=deps, label=lbl)
-            cleanup_tasks.append(task)
-
-        input_dir = self.intermediate_dir
-        cmd = 'rm -r "{}"'.format(input_dir)
-        deps = cleanup_tasks
-        lbl = 'pipeline_cleanup'
-        task = self.addTask(command=cmd, dependencies=deps, label=lbl)
-        cleanup_tasks.append(task)
-
-        self.waitForTasks()
 
         '''
         ' ##################################################
@@ -376,7 +223,7 @@ class OCRPipeline(WorkflowRunner):
             cmd += ' -i "*.pdf" "*.txt" "*.xml" "*.hocr" "*.{}"'.format('bin.png' if self.binarize else 'tif')  # noqa
             cmd += ' && '
             cmd += 'cd -'
-            deps = combined_pdf_creation_tasks + combined_txt_creation_tasks + poco_bundle_creation_tasks  # noqa
+            deps = hocr_to_tei_tasks
             lbl = 'zip_creation_-_all'
             task = self.addTask(command=cmd, dependencies=deps, label=lbl)
             zip_creation_tasks.append(task)
@@ -390,7 +237,7 @@ class OCRPipeline(WorkflowRunner):
             cmd += ' -i "*.pdf"'
             cmd += ' && '
             cmd += 'cd -'
-            deps = combined_pdf_creation_tasks
+            deps = ocr_tasks
             lbl = 'zip_creation_-_pdf'
             task = self.addTask(command=cmd, dependencies=deps, label=lbl)
             zip_creation_tasks.append(task)
@@ -404,7 +251,7 @@ class OCRPipeline(WorkflowRunner):
             cmd += ' -i "*.txt"'
             cmd += ' && '
             cmd += 'cd -'
-            deps = combined_txt_creation_tasks
+            deps = ocr_tasks
             lbl = 'zip_creation_-_txt'
             task = self.addTask(command=cmd, dependencies=deps, label=lbl)
             zip_creation_tasks.append(task)
@@ -418,7 +265,7 @@ class OCRPipeline(WorkflowRunner):
             cmd += ' -i "*.xml"'
             cmd += ' && '
             cmd += 'cd -'
-            deps = tei_p5_creation_tasks
+            deps = hocr_to_tei_tasks
             lbl = 'zip_creation_-_xml'
             task = self.addTask(command=cmd, dependencies=deps, label=lbl)
             zip_creation_tasks.append(task)
@@ -432,37 +279,79 @@ class OCRPipeline(WorkflowRunner):
             cmd += ' -i "*.hocr" "*.{}"'.format('bin.png' if self.binarize else 'tif')  # noqa
             cmd += ' && '
             cmd += 'cd -'
-            deps = poco_bundle_creation_tasks
+            deps = post_ocr_tasks
             lbl = 'zip_creation_-_poco'
             task = self.addTask(command=cmd, dependencies=deps, label=lbl)
             zip_creation_tasks.append(task)
 
 
-def collect_jobs(input_dir, output_dir, intermediate_dir):
+def collect_jobs(input_dir, output_dir):
     jobs = []
     for file in os.listdir(input_dir):
         if os.path.isdir(os.path.join(input_dir, file)):
-            jobs += collect_jobs(os.path.join(input_dir, file),
+            continue
-                                 os.path.join(output_dir, file),
+        if file.lower().endswith('.pdf'):
-                                 os.path.join(intermediate_dir, file))
-        elif file.lower().endswith('.pdf'):
             job = OCRPipelineJob(os.path.join(input_dir, file),
-                                 os.path.join(output_dir, file),
+                                 os.path.join(output_dir, file))
-                                 os.path.join(intermediate_dir, file))
             jobs.append(job)
     return jobs
 
 
+def parse_args():
+    parser = ArgumentParser(description='OCR pipeline for PDF file processing',
+                            prog='OCR pipeline')
+    parser.add_argument('-i', '--input-dir',
+                        help='Input directory',
+                        required=True)
+    parser.add_argument('-o', '--output-dir',
+                        help='Output directory',
+                        required=True)
+    parser.add_argument('-l', '--language',
+                        choices=list(map(lambda x: x[:-12], filter(lambda x: x.endswith('.traineddata'), os.listdir('/usr/local/share/tessdata')))),  # noqa
+                        help='Language of the input '
+                             '(3-character ISO 639-2 language codes)',
+                        required=True)
+    parser.add_argument('--binarize',
+                        action='store_true',
+                        help='Add binarization as a preprocessing step')
+    parser.add_argument('--log-dir',
+                        help='Logging directory')
+    parser.add_argument('--mem-mb',
+                        help='Amount of system memory to be used (Default: min(--n-cores * 2048, available system memory))',  # noqa
+                        type=int)
+    parser.add_argument('--n-cores',
+                        default=min(4, multiprocessing.cpu_count()),
+                        help='Number of CPU threads to be used (Default: min(4, number of CPUs))',  # noqa
+                        type=int)
+    parser.add_argument('--zip',
+                        help='Create one zip file per filetype')
+    parser.add_argument('-v', '--version',
+                        action='version',
+                        help='Returns the current version of the OCR pipeline',
+                        version='%(prog)s {}'.format(__version__))
+    args = parser.parse_args()
+
+    # Set some tricky default values and check for insufficient input
+    if args.log_dir is None:
+        args.log_dir = args.output_dir
+    if args.n_cores < 1:
+        raise Exception('--n-cores must be greater or equal 1')
+    if args.mem_mb is None:
+        max_mem_mb = int(os.popen('free -t -m').readlines()[-1].split()[1:][0])
+        args.mem_mb = min(args.n_cores * 2048, max_mem_mb)
+    if args.mem_mb < 2048:
+        raise Exception('--mem-mb must be greater or equal 2048')
+    if args.zip is not None and args.zip.lower().endswith('.zip'):
+        # Remove .zip file extension if provided
+        args.zip = args.zip[:-4]
+        args.zip = args.zip if args.zip else 'output'
+    return args
+
+
 def main():
     args = parse_args()
-    ocr_pipeline = OCRPipeline(args.input_directory, args.language,
+    ocr_pipeline = OCRPipeline(args.input_dir, args.language, args.output_dir, args.binarize, args.zip)  # noqa
-                               args.output_directory, args.binarize,
+    retval = ocr_pipeline.run(dataDirRoot=args.log_dir, memMb=args.mem_mb, nCores=args.n_cores)  # noqa
-                               args.intermediate_directory, args.n_cores,
-                               args.zip)
-    retval = ocr_pipeline.run(
-        dataDirRoot=(args.log_dir or args.output_directory),
-        nCores=args.n_cores
-    )
     sys.exit(retval)
 
 

wrapper/ocr

@@ -1,43 +1,38 @@
 #!/usr/bin/env python3
 # coding=utf-8
 
-"""A wrapper to execute the OCR pipeline in a Docker container"""
-
 from argparse import ArgumentParser
 import os
 import subprocess
+import sys
 
-CONTAINER_IMAGE_TAG = '1.0.0'
+CONTAINER_IMAGE = 'gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:1.0.0'
-CONTAINER_IMAGE = 'gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:{}'.format(CONTAINER_IMAGE_TAG)  # noqa
 CONTAINER_INPUT_DIR = '/input'
-CONTAINER_INTERMEDIATE_DIR = '/intermediate'
 CONTAINER_OUTPUT_DIR = '/output'
+CONTAINER_LOG_DIR = '/logs'
 UID = str(os.getuid())
 GID = str(os.getgid())
 
 parser = ArgumentParser(add_help=False)
-parser.add_argument('-i', '--input-directory')
+parser.add_argument('-i', '--input-dir')
-parser.add_argument('-o', '--output-directory')
+parser.add_argument('-o', '--output-dir')
-parser.add_argument('--intermediate-directory')
+parser.add_argument('--log-dir')
 args, remaining_args = parser.parse_known_args()
 
 cmd = ['docker', 'run', '--rm', '-it', '-u', '{}:{}'.format(UID, GID)]
-if args.intermediate_directory is not None:
+if args.input_dir is not None:
-    cmd += ['-v', '{}:{}'.format(os.path.abspath(args.intermediate_directory),
+    mapping = os.path.abspath(args.input_dir) + ':' + CONTAINER_INPUT_DIR
-                                 CONTAINER_INTERMEDIATE_DIR)]
+    cmd += ['-v', mapping]
-    remaining_args.insert(0, CONTAINER_INTERMEDIATE_DIR)
+    remaining_args += ['-i', CONTAINER_INPUT_DIR]
-    remaining_args.insert(0, '--intermediate-directory')
+if args.output_dir is not None:
-if args.output_directory is not None:
+    mapping = os.path.abspath(args.output_dir) + ':' + CONTAINER_OUTPUT_DIR
-    cmd += ['-v', '{}:{}'.format(os.path.abspath(args.output_directory),
+    cmd += ['-v', mapping]
-                                 CONTAINER_OUTPUT_DIR)]
+    remaining_args += ['-o', CONTAINER_OUTPUT_DIR]
-    remaining_args.insert(0, CONTAINER_OUTPUT_DIR)
+if args.log_dir is not None:
-    remaining_args.insert(0, '-o')
+    mapping = os.path.abspath(args.log_dir) + ':' + CONTAINER_LOG_DIR
-if args.input_directory is not None:
+    cmd += ['-v', mapping]
-    cmd += ['-v', '{}:{}'.format(os.path.abspath(args.input_directory),
+    remaining_args += ['--log-dir', CONTAINER_LOG_DIR]
-                                 CONTAINER_INPUT_DIR)]
-    remaining_args.insert(0, CONTAINER_INPUT_DIR)
-    remaining_args.insert(0, '-i')
 cmd.append(CONTAINER_IMAGE)
 cmd += remaining_args
 
-subprocess.run(cmd)
+sys.exit(subprocess.run(cmd).returncode)