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Update
This commit is contained in:
Patrick Jentsch
parent
2cfcc2b2c2
commit
fc5ae7bd37
213
ocr_pyflow
213
ocr_pyflow
@ -31,125 +31,72 @@ 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(
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"Performs OCR of (historical) documents utilizing OCRopus for preprocessing and Tesseract OCR \
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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", "--input-directory",
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dest="input_dir",
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help="Input directory with input (Multipage-)TIFs or PDFs. For each input file an OCR-Run is \
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instantiated and output is created.",
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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("-o", "--output-directory",
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dest="output_dir",
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help="Directory, where output directories are created if necessary. \
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Default: %s" % (os.path.join(os.path.curdir, "ocr_pyflow")),
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required=False,
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default=(os.path.join(os.path.curdir, "ocr_pyflow")))
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parser.add_argument("--skip-pdf-processing",
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dest="skip_pdf",
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help="Skip detection of PDFs as input.",
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default=False,
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action='store_true',
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required=False)
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parser.add_argument("--skip-image-processing",
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dest="skip_images",
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help="Skip detection of images as input.",
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default=False,
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action='store_true',
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required=False)
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parser.add_argument("--start-page",
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dest='startp',
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help="NOT IMPLEMENTED! First page to ocr.",
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default=-1,
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required=False, type=int)
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parser.add_argument("--end-page",
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dest='endp',
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default=-1,
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help="NOT IMPLEMENTED! Last page to ocr.",
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required=False, type=int)
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parser.add_argument("-r", "--rotate-pages",
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dest='rotate',
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default='norotation',
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help="NOT IMPLEMENTED! Rotate pages from input. Values: clockwise, counterclockwise, \
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upsidedown. Default: norotation",
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required=False,
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choices=['clockwise', 'counterclockwise', 'upsidedown', 'norotation'])
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parser.add_argument("-s", "--split-pages",
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dest='split',
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default=False,
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help="NOT IMPLEMENTED! Split pages in half after possible rotation. Default: Not performed.",
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required=False,
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action='store_true')
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parser.add_argument("--ppi-import",
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dest="ppi_in",
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help="NOT IMPLEMENTED! Scaling for input images. Default: 300 ppi.",
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default=300,
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required=False,
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type=int)
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parser.add_argument("-l", "--language",
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parser.add_argument("-l",
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choices=["deu", "deu_frak", "eng", "enm", "fra", "spa", "frm"],
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dest='lang',
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help="Language for OCR",
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required=True,
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type=str)
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parser.add_argument("-p", "--create-pdf",
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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("--skip-image",
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action='store_true',
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default=False,
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dest="skip_images",
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help="Skip detection of images as input.",
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required=False)
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parser.add_argument("--skip-pdf",
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action='store_true',
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default=False,
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dest="skip_pdf",
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help="Skip detection of PDFs as input.",
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required=False)
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parser.add_argument("--pdf",
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action='store_true',
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default=False,
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dest='pdf',
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default=False,
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action='store_true',
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help="Create PDF files.",
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required=False)
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parser.add_argument("-c", "--compress-pdf",
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dest='comp',
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help="NOT IMPLEMENTED!",
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default=False,
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parser.add_argument("--keep-intermediates",
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action='store_true',
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required=False)
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parser.add_argument("--ppi-export",
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dest="ppi_out",
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help="NOT IMPLEMENTED! Scaling for output images in PDF. Default: 150 ppi.",
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default=150,
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required=False,
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type=int)
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parser.add_argument("-k", "--keep-intermediate",
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dest="intermediate",
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help="Keep intermediate files. Default: False",
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default=False,
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action='store_true')
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parser.add_argument("--cores",
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dest='nCores',
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help="Amount of CPUs to use for parallel jobs. Default: Number of available CPUs",
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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=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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parser.add_argument("--is-continued", dest='continued',
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help="NOT IMPLEMENTED! Enables continuing an erroneous or paused workflow. MUST use the \
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same dataDirRoot as before.",
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default=False,
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required=False,
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action='store_true')
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parser.add_argument("--memory",
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dest='mem',
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help="NOT IMPLEMENTED! Total amount of memory (RAM) available for this workflow. \
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Default: %i" % (8192),
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default=8192,
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required=False,
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type=int)
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args = parser.parse_args()
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return (args)
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return parser.parse_args()
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class OCRWorkflow(WorkflowRunner):
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def __init__(self, pdfImageJobs, inputDir, outputDir, lang, pdf, intermediate, nCores, memMb):
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self.pdfImageJobs = pdfImageJobs
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self.outputDir = outputDir
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self.inputDir = inputDir
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def __init__(self, jobs, lang, pdf, keepIntermediates, nCores):
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self.jobs = jobs
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self.lang = lang
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self.pdf = pdf
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self.intermediate = intermediate
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self.keepIntermediates = keepIntermediates
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self.nCores = nCores
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self.memMb = memMb
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@ -160,7 +107,7 @@ class OCRWorkflow(WorkflowRunner):
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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.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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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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@ -176,7 +123,7 @@ class OCRWorkflow(WorkflowRunner):
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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.pdfImageJobs["images"]:
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for job in self.jobs["images"]:
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split_job_number += 1
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# TODO: Make the following command work
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'''
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@ -191,13 +138,13 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(job["output_dir"], "tmp", "tiff_files", os.path.basename(job["path"]).rsplit(".", 1)[0] + ".pdf"),
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os.path.join(job["output_dir"], "tmp", "tiff_files", os.path.basename(job["path"]).rsplit(".", 1)[0]),
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os.path.join(job["output_dir"], "tmp", "tiff_files", os.path.basename(job["path"]).rsplit(".", 1)[0] + ".pdf"))
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split_jobs.append(self.addTask(label="split_job_-_%i" % (split_job_number), command=cmd, dependencies=mkdir_jobs, nCores=1, memMb=1024))
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for job in self.pdfImageJobs["pdf"]:
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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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for job in self.jobs["pdf"]:
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split_job_number += 1
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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", os.path.basename(job["path"]).rsplit(".", 1)[0]))
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split_jobs.append(self.addTask(label="split_job_-_%i" % (split_job_number), command=cmd, dependencies=mkdir_jobs, nCores=1, memMb=1024))
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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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@ -206,13 +153,12 @@ class OCRWorkflow(WorkflowRunner):
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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.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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ocropusnlbin_job_number += 1
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cmd = "ocropus-nlbin -Q %i -o %s %s" % (
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self.nCores,
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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", os.path.basename(job["path"]).rsplit(".", 1)[0] + "-*.tif"))
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ocropusnlbin_jobs.append(self.addTask(label="ocropusnlbin_job_-_%i" % (ocropusnlbin_job_number), command=cmd, dependencies=split_jobs, nCores=self.nCores, memMb=self.memMb))
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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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@ -222,7 +168,7 @@ class OCRWorkflow(WorkflowRunner):
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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.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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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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@ -231,7 +177,7 @@ class OCRWorkflow(WorkflowRunner):
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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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"pdf" if self.pdf else "")
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tesseract_jobs.append(self.addTask(label="tesseract_job_-_%i" % (tesseract_job_number), command=cmd, dependencies=ocropusnlbin_jobs, nCores=1, memMb=2048))
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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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@ -241,12 +187,12 @@ class OCRWorkflow(WorkflowRunner):
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pdf_merge_jobs = []
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pdf_merge_job_number = 0
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if self.pdf:
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for job in self.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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pdf_merge_job_number += 1
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cmd = "pdftk %s cat output %s" % (
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os.path.join(job["output_dir"], "tmp", "tesseract", "*.pdf"),
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os.path.join(job["output_dir"], os.path.basename(job["path"].rsplit(".", 1)[0] + ".pdf")))
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pdf_merge_jobs.append(self.addTask(label="pdf_merge_job_-_%i" % (pdf_merge_job_number), command=cmd, dependencies=tesseract_jobs, nCores=1, memMb=4096))
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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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@ -256,11 +202,11 @@ class OCRWorkflow(WorkflowRunner):
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pdf_to_txt_jobs = []
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pdf_to_txt_job_number = 0
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if self.pdf:
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for job in self.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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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"], os.path.basename(job["path"].rsplit(".", 1)[0] + ".pdf")))
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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, nCores=1, memMb=4096))
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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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@ -269,7 +215,7 @@ class OCRWorkflow(WorkflowRunner):
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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.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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move_hocr_job_number += 1
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cmd = "mv %s %s" % (
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os.path.join(job["output_dir"], "tmp", "tesseract", "*.hocr"),
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@ -277,18 +223,18 @@ class OCRWorkflow(WorkflowRunner):
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move_hocr_jobs.append(self.addTask(label="move_hocr_job_-_%i" % (move_hocr_job_number), command=cmd, dependencies=tesseract_jobs))
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###
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###Total amount of memory (RAM) available for this workflow. Default: 2048 * nCores"
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# Task "hocr_to_teip5_job": create TEI P5 file from hocr files
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# Dependencies: move_hocr_jobs
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###
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hocr_to_teip5_jobs = []
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hocr_to_teip5_job_number = 0
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for job in self.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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hocr_to_teip5_job_number += 1
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cmd = "parse_hocr %s %s" % (
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os.path.join(job["output_dir"], "hocr_files"),
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os.path.join(os.path.join(job["output_dir"], os.path.basename(job["path"]).rsplit(".", 1)[0] + ".xml")))
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hocr_to_teip5_jobs.append(self.addTask(label="hocr_to_teip5_job_-_%i" % (hocr_to_teip5_job_number), command=cmd, dependencies=move_hocr_jobs, nCores=1, memMb=250))
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hocr_to_teip5_jobs.append(self.addTask(label="hocr_to_teip5_job_-_%i" % (hocr_to_teip5_job_number), command=cmd, dependencies=move_hocr_jobs))
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###
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@ -298,33 +244,33 @@ class OCRWorkflow(WorkflowRunner):
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self.waitForTasks()
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cleanup_jobs = []
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cleanup_job_counter = 0
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if not self.intermediate:
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for job in self.pdfImageJobs["images"] + self.pdfImageJobs["pdf"]:
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if not self.keepIntermediates:
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for job in self.jobs["images"] + self.jobs["pdf"]:
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cleanup_job_counter += 1
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cmd = "rm -r %s" % (os.path.join(job["output_dir"], "tmp"))
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cleanup_jobs.append(self.addTask(label="cleanup_job_-_%i" % (cleanup_job_counter), command=cmd))
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def analyze_jobs(input_dir, output_dir, skip_pdf=False, skip_images=False):
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files = os.listdir(input_dir)
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def analyze_jobs(inputDir, outputDir, skip_pdf=False, skip_images=False):
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files = os.listdir(inputDir)
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images = []
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pdf = []
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if not skip_images:
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for file in filter(lambda x: x.endswith(".tif") or x.endswith(".tiff"), files):
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images.append({"path": os.path.join(input_dir, file), "output_dir": os.path.join(output_dir, file.rsplit(".", 1)[0])})
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images.append({"path": os.path.join(inputDir, file), "output_dir": os.path.join(outputDir, file.rsplit(".", 1)[0])})
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if not skip_pdf:
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for file in filter(lambda x: x.endswith(".pdf"), files):
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pdf.append({"path": os.path.join(input_dir, file), "output_dir": os.path.join(output_dir, file.rsplit(".", 1)[0])})
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for subdir in filter(lambda x: os.path.isdir(os.path.join(input_dir, x)), files):
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subdir_files = os.listdir(os.path.join(input_dir, subdir))
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pdf.append({"path": os.path.join(inputDir, file), "output_dir": os.path.join(outputDir, file.rsplit(".", 1)[0])})
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for subDir in filter(lambda x: os.path.isdir(os.path.join(inputDir, x)), files):
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subDirFiles = os.listdir(os.path.join(inputDir, subDir))
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if not skip_images:
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for file in filter(lambda x: x.endswith(".tif") or x.endswith(".tiff"), subdir_files):
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images.append({"path": os.path.join(input_dir, subdir, file), "output_dir": os.path.join(output_dir, subdir, file.rsplit(".", 1)[0])})
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for file in filter(lambda x: x.endswith(".tif") or x.endswith(".tiff"), subDirFiles):
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images.append({"path": os.path.join(inputDir, subDir, file), "output_dir": os.path.join(outputDir, subDir, file.rsplit(".", 1)[0])})
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if not skip_pdf:
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for file in filter(lambda x: x.endswith(".pdf"), subdir_files):
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pdf.append({"path": os.path.join(input_dir, subdir, file), "output_dir": os.path.join(output_dir, subdir, file.rsplit(".", 1)[0])})
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for file in filter(lambda x: x.endswith(".pdf"), subDirFiles):
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pdf.append({"path": os.path.join(inputDir, subDir, file), "output_dir": os.path.join(outputDir, subDir, file.rsplit(".", 1)[0])})
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return {"pdf": pdf, "images": images}
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@ -345,10 +291,11 @@ def normalize_input_filenames(path):
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def main():
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args = parse_arguments()
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normalize_input_filenames(args.input_dir)
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jobs = analyze_jobs(args.input_dir, args.output_dir, skip_pdf=args.skip_pdf, skip_images=args.skip_images)
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wflow = OCRWorkflow(jobs, args.input_dir, args.output_dir, args.lang, args.pdf, args.intermediate, args.nCores, args.mem)
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retval = wflow.run(mode="local", nCores=args.nCores, memMb=args.mem)
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normalize_input_filenames(args.inputDir)
|
||||
jobs = analyze_jobs(args.inputDir, args.outputDir, skip_pdf=args.skip_pdf, skip_images=args.skip_images)
|
||||
|
||||
wflow = OCRWorkflow(jobs, args.lang, args.pdf, args.keepIntermediates, args.nCores)
|
||||
retval = wflow.run(nCores=args.nCores)
|
||||
sys.exit(retval)
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user