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https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git
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Some renaming and cleanup.
This commit is contained in:
Patrick Jentsch
251
ocr
Executable file
251
ocr
Executable file
@ -0,0 +1,251 @@
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#!/usr/bin/env python2.7
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# coding=utf-8
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"""
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ocr
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Usage: For usage instructions run with option --help
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Author: Patrick Jentsch <p.jentsch@uni-bielefeld.de>
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"""
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import argparse
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import multiprocessing
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import os
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import sys
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from pyflow import WorkflowRunner
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''' TODO:
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' Implement --end-page: Last page to ocr
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' Implement --memMb: Total amount of memory (RAM) available for this workflow. Default: 2048 * nCores
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' Implement --rotate: Rotate pages from input (90, 180, 270)
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' Implement --split-pages: Split pages in half after possible rotation
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' Implement --start-page: First page to ocr
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'''
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def parse_arguments():
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parser = argparse.ArgumentParser("Performs OCR of (historical) documents utilizing OCRopus for preprocessing and Tesseract OCR \
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for OCR. Available outputs are HOCR, PDF, shrinked PDF, and simple DTAbf \
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(TEI P5 compliant). Software requirements: imagemagick, ocropus, pdftk, pdftoppm, poppler-utils, pyflow, python2.7, tesseract")
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parser.add_argument("-i",
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dest="inputDir",
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help="Input directory.",
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required=True)
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parser.add_argument("-l",
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dest='lang',
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help="Language for OCR",
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required=True)
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parser.add_argument("-o",
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dest="outputDir",
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help="Output directory.",
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required=True)
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parser.add_argument("--keep-intermediates",
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action='store_true',
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default=False,
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dest="keepIntermediates",
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help="Keep intermediate files.",
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required=False)
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parser.add_argument("--nCores",
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default=min(4, multiprocessing.cpu_count()),
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dest="nCores",
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help="Total number of cores available.",
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required=False,
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type=int)
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return parser.parse_args()
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class OCRWorkflow(WorkflowRunner):
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def __init__(self, jobs, keepIntermediates, lang, nCores):
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self.jobs = jobs
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self.keepIntermediates = keepIntermediates
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self.lang = lang
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self.nCores = nCores
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def workflow(self):
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###
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# Task "mkdir_job": create output directories
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# Dependencies: None
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###
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mkdir_jobs = []
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mkdir_job_number = 0
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for job in self.jobs:
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mkdir_job_number += 1
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cmd = 'mkdir -p "%s" "%s" "%s" "%s"' % (
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os.path.join(job["output_dir"], "hocr_files"),
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os.path.join(job["output_dir"], "tmp", "ocropus-nlbin"),
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os.path.join(job["output_dir"], "tmp", "tesseract"),
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os.path.join(job["output_dir"], "tmp", "tiff_files")
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)
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mkdir_jobs.append(self.addTask(label="mkdir_job_-_%i" % (mkdir_job_number), command=cmd))
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###
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# Task "split_job": split input file into one tiff file per page
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# Dependencies: mkdir_jobs
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###
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split_jobs = []
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split_job_number = 0
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for job in self.jobs:
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split_job_number += 1
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if job["basename"].endswith(".tif") or job["basename"].endswith(".tiff"):
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# TODO: Make the following command work
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'''
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cmd = 'convert "%s" "%s"' % (
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job["path"],
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os.path.join(job["output_dir"], "tmp", "tiff_files", os.path.basename(job["path"]).rsplit(".", 1)[0] + "-%sd.tif" % ("%")))
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'''
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# WORKAROUND
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cmd = 'tiff2pdf -o "%s" "%s" && pdftoppm "%s" "%s" -tiff -r 300 -tiffcompression lzw -cropbox && rm "%s"' % (
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os.path.join(job["output_dir"], "tmp", "tiff_files", job["basename"].rsplit(".", 1)[0] + ".pdf"),
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job["path"],
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os.path.join(job["output_dir"], "tmp", "tiff_files", job["basename"].rsplit(".", 1)[0] + ".pdf"),
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os.path.join(job["output_dir"], "tmp", "tiff_files", job["basename"].rsplit(".", 1)[0]),
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os.path.join(job["output_dir"], "tmp", "tiff_files", job["basename"].rsplit(".", 1)[0] + ".pdf")
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)
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else:
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cmd = 'pdftoppm "%s" "%s" -tiff -r 300 -tiffcompression lzw -cropbox' % (
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job["path"],
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os.path.join(job["output_dir"], "tmp", "tiff_files", "page")
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)
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split_jobs.append(self.addTask(label="split_job_-_%i" % (split_job_number), command=cmd, dependencies=mkdir_jobs))
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###
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# Task "ocropus_nlbin_job": binarize tiff files from previous split
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# Dependencies: split_jobs
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###
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ocropusnlbin_jobs = []
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ocropusnlbin_job_number = 0
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for job in self.jobs:
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ocropusnlbin_job_number += 1
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cmd = 'ocropus-nlbin -o "%s" "%s"/*' % (
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os.path.join(job["output_dir"], "tmp", "ocropus-nlbin"),
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os.path.join(job["output_dir"], "tmp", "tiff_files")
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)
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ocropusnlbin_jobs.append(self.addTask(label="ocropusnlbin_job_-_%i" % (ocropusnlbin_job_number), command=cmd, dependencies=split_jobs))
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###
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# Task "tesseract_job": perform OCR on binarized images
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# Dependencies: ocropusnlbin_jobs
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###
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self.waitForTasks()
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tesseract_jobs = []
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tesseract_job_number = 0
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for job in self.jobs:
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# This list is empty if you don't wait for ocropus_nlbin_jobs to complete
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for file in filter(lambda x: x.endswith(".bin.png"), os.listdir(os.path.join(job["output_dir"], "tmp", "ocropus-nlbin"))):
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tesseract_job_number += 1
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cmd = 'tesseract "%s" "%s" -l "%s" hocr pdf txt' % (
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os.path.join(job["output_dir"], "tmp", "ocropus-nlbin", file),
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os.path.join(job["output_dir"], "tmp", "tesseract", file.rsplit(".", 2)[0]),
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self.lang
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)
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tesseract_jobs.append(self.addTask(label="tesseract_job_-_%i" % (tesseract_job_number), command=cmd, dependencies=ocropusnlbin_jobs, nCores=min(4, self.nCores)))
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###
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# Task "hocr_to_teip5_job": create TEI P5 file from hocr files
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# Dependencies: tesseract_jobs
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###
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hocr_to_tei_jobs = []
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hocr_to_tei_job_number = 0
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for job in self.jobs:
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hocr_to_tei_job_number += 1
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cmd = 'hocrtotei "%s" "%s"' % (
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os.path.join(job["output_dir"], "tmp", "tesseract"),
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os.path.join(job["output_dir"], job["basename"].rsplit(".", 1)[0] + ".xml")
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)
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hocr_to_tei_jobs.append(self.addTask(label="hocr_to_tei_job_-_%i" % (hocr_to_tei_job_number), command=cmd, dependencies=tesseract_jobs))
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###
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# Task "move_hocr_job": move hocr files from <output_dir>/tmp/tesseract to <output_dir>/hocr_files
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# Dependencies: hocr_to_teip5_jobs
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###
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move_hocr_jobs = []
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move_hocr_job_number = 0
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for job in self.jobs:
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move_hocr_job_number += 1
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cmd = 'mv "%s"/*.hocr "%s"' % (
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os.path.join(job["output_dir"], "tmp", "tesseract"),
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os.path.join(job["output_dir"], "hocr_files")
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)
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move_hocr_jobs.append(self.addTask(label="move_hocr_job_-_%i" % (move_hocr_job_number), command=cmd, dependencies=hocr_to_tei_jobs))
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###
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# Task "pdf_merge_job": Merge PDF files
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# Dependencies: tesseract_jobs
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###
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pdf_merge_jobs = []
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pdf_merge_job_number = 0
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for job in self.jobs:
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pdf_merge_job_number += 1
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cmd = 'pdftk "%s"/*.pdf cat output "%s"' % (
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os.path.join(job["output_dir"], "tmp", "tesseract"),
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os.path.join(job["output_dir"], job["basename"].rsplit(".", 1)[0] + ".pdf")
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)
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pdf_merge_jobs.append(self.addTask(label="pdf_merge_job_-_%i" % (pdf_merge_job_number), command=cmd, dependencies=tesseract_jobs))
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###
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# Task "pdf_to_txt_job":
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# Dependencies: pdf_merge_jobs
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###
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pdf_to_txt_jobs = []
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pdf_to_txt_job_number = 0
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for job in self.jobs:
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pdf_to_txt_job_number += 1
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cmd = 'pdftotext -raw "%s"' % (
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os.path.join(job["output_dir"], job["basename"].rsplit(".", 1)[0] + ".pdf")
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)
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pdf_merge_jobs.append(self.addTask(label="pdf_to_txt_job_-_%i" % (pdf_to_txt_job_number), command=cmd, dependencies=pdf_merge_jobs))
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###
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# Task "cleanup_job": remove temporary files
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# Dependencies: hocr_to_teip5_jobs + move_hocr_jobs + pdf_merge_jobs + pdf_to_txt_jobs
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###
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cleanup_jobs = []
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cleanup_job_counter = 0
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if not self.keepIntermediates:
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for job in self.jobs:
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cleanup_job_counter += 1
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cmd = 'rm -r "%s"' % (
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os.path.join(job["output_dir"], "tmp")
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)
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cleanup_jobs.append(self.addTask(label="cleanup_job_-_%i" % (cleanup_job_counter), command=cmd, dependencies=hocr_to_tei_jobs + move_hocr_jobs + pdf_merge_jobs + pdf_to_txt_jobs))
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def analyze_jobs(inputDir, outputDir, level=1):
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jobs = []
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if level > 2:
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return jobs
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for file in os.listdir(inputDir):
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if os.path.isdir(os.path.join(inputDir, file)):
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jobs += analyze_jobs(
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os.path.join(inputDir, file),
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os.path.join(outputDir, file),
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level + 1
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)
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elif file.endswith(".pdf") or file.endswith(".tif") or file.endswith(".tiff"):
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jobs.append({"basename": os.path.basename(file), "output_dir": os.path.join(outputDir, file.rsplit(".", 1)[0]), "path": os.path.join(inputDir, file)})
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return jobs
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def main():
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args = parse_arguments()
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wflow = OCRWorkflow(
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analyze_jobs(args.inputDir, args.outputDir),
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args.keepIntermediates,
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args.lang,
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args.nCores
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)
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retval = wflow.run(nCores=args.nCores)
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sys.exit(retval)
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if __name__ == "__main__":
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main()
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