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https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git
synced 2024-12-25 18:04:18 +00:00
More GhostScript, less dependencies!
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2b63ba9e59
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@ -14,7 +14,6 @@ RUN apt-get update \
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ca-certificates \
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gnupg2 \
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ghostscript \
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poppler-utils \
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python2.7 \
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python3.7 \
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wget \
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86
ocr
86
ocr
@ -36,9 +36,6 @@ def parse_args():
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parser.add_argument('--binarize',
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action='store_true',
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help='Use ocropy binarisation as preprocessing step.')
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parser.add_argument('--compress',
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action='store_true',
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help='Compress the final PDF result file.')
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parser.add_argument('--log-dir')
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parser.add_argument('--n-cores',
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default=min(4, multiprocessing.cpu_count()),
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@ -59,15 +56,13 @@ class OCRPipelineJob:
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class OCRPipeline(WorkflowRunner):
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def __init__(self, binarize, jobs, lang, n_cores, output_dir, zip,
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compress):
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def __init__(self, binarize, jobs, lang, n_cores, output_dir, zip):
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self.binarize = binarize
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self.jobs = jobs
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self.lang = lang
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self.n_cores = n_cores
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self.output_dir = output_dir
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self.zip = zip
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self.compress = compress
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def workflow(self):
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if not self.jobs:
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@ -160,28 +155,20 @@ class OCRPipeline(WorkflowRunner):
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'''
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' ##################################################
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' # post binarization #
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' # Renaming of binarization output files #
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' ##################################################
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'''
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post_binarization_jobs = []
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for i, job in enumerate(self.jobs):
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input_dir = os.path.join(job.output_dir, 'tmp')
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output_dir = input_dir
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number = 0
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files = filter(lambda x: x.endswith('.bin.png'),
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os.listdir(input_dir))
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files.sort()
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for file in files:
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# int conversion is done in order to trim leading zeros
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output_file = os.path.join(output_dir, 'page-{}.bin.png'.format(int(file.split('.', 1)[0]))) # noqa
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cmd = 'mv "{}" "{}"'.format(os.path.join(output_dir, file),
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output_file)
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deps = 'binarization_-_{}'.format(i)
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lbl = 'post_binarization_-_{}-{}'.format(i, number)
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post_binarization_jobs.append(
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self.addTask(command=cmd, dependencies=deps, label=lbl)
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)
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number += 1
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page_number = int(file.split('.', 1)[0])
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output_file = 'page-{}.bin.png'.format(page_number)
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os.rename(os.path.join(output_dir, file),
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os.path.join(output_dir, output_file))
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'''
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' The ocr_jobs are created based of the output files of either the
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@ -217,7 +204,7 @@ class OCRPipeline(WorkflowRunner):
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cmd += ' && '
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cmd += 'sed -i \'s+{}/++g\' "{}".hocr'.format(input_dir, output_file_base) # noqa
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if self.binarize:
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deps = 'post_binarization_-_{}-{}'.format(i, number)
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deps = 'binarization_-_{}'.format(i)
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else:
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deps = 'split_input_-_{}'.format(i)
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label = 'ocr_-_{}-{}'.format(i, number)
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@ -241,13 +228,20 @@ class OCRPipeline(WorkflowRunner):
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combined_pdf_creation_jobs = []
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for i, job in enumerate(self.jobs):
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input_dir = os.path.join(job.output_dir, 'tmp')
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output_dir = job.output_dir
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files = filter(lambda x: x.endswith('.pdf'),
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os.listdir(input_dir))
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files.sort(key=lambda x: int(re.search(r'\d+', x).group(0)))
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files = map(lambda x: os.path.join(input_dir, x), files)
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output_file = os.path.join(job.output_dir,
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'{}.pdf'.format(job.name))
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cmd = 'pdfunite "{}" "{}"'.format('" "'.join(files), output_file)
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output_file = os.path.join(output_dir, '{}.pdf'.format(job.name))
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cmd = 'gs'
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cmd += ' -dBATCH'
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cmd += ' -dNOPAUSE'
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cmd += ' -dPDFSETTINGS=/ebook'
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cmd += ' -dQUIET'
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cmd += ' -sDEVICE=pdfwrite'
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cmd += ' "-sOutputFile={}"'.format(output_file)
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cmd += ' "{}"'.format('" "'.join(files))
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deps = filter(lambda x: x.startswith('ocr_-_{}'.format(i)),
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ocr_jobs)
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lbl = 'combined_pdf_creation_-_{}'.format(i)
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@ -321,38 +315,6 @@ class OCRPipeline(WorkflowRunner):
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'''
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self.waitForTasks()
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'''
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' ##################################################
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' # pdf compression #
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' ##################################################
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'''
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pdf_compression_jobs = []
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n_cores = min(self.n_cores, max(1, int(self.n_cores / len(self.jobs))))
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if self.compress:
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for i, job in enumerate(self.jobs):
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file = filter(lambda x: x.endswith('.pdf'), os.listdir(job.output_dir))[0] # noqa
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original_file = os.path.join(job.output_dir, file)
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compressed_file = os.path.join(job.output_dir, 'c_' + file)
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cmd = 'gs'
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cmd += ' -dBATCH'
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cmd += ' -dNOPAUSE'
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cmd += ' -dNumRenderingThreads={}'.format(n_cores)
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cmd += ' -dPDFSETTINGS=/ebook'
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# -dCompatibilityLevel must be defined after -dPDFSETTINGS
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cmd += ' -dCompatibilityLevel=1.4'
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cmd += ' -dQUIET'
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cmd += ' -sDEVICE=pdfwrite'
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cmd += ' "-sOutputFile={}"'.format(compressed_file)
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cmd += ' "{}"'.format(original_file)
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cmd += ' && '
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cmd += 'mv "{}" "{}"'.format(compressed_file, original_file)
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deps = 'combined_pdf_creation_-_{}'.format(i)
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lbl = 'pdf_compression_-_{}'.format(i)
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pdf_compression_jobs.append(self.addTask(command=cmd,
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dependencies=deps,
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label=lbl,
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nCores=n_cores))
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'''
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' ##################################################
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' # cleanup #
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@ -362,10 +324,7 @@ class OCRPipeline(WorkflowRunner):
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for i, job in enumerate(self.jobs):
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input_dir = os.path.join(job.output_dir, 'tmp')
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cmd = 'rm -r "{}"'.format(input_dir)
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if self.compress:
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deps = ['pdf_compression_-_{}'.format(i)]
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else:
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deps = ['combined_pdf_creation_-_{}'.format(i)]
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deps = ['combined_pdf_creation_-_{}'.format(i)]
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deps.append('combined_txt_creation_-_{}'.format(i))
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deps.append('poco_bundle_creation_-_{}'.format(i))
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deps.append('tei_p5_creation_-_{}'.format(i))
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@ -395,8 +354,7 @@ class OCRPipeline(WorkflowRunner):
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cmd += ' -i "*.pdf" "*.txt" "*.xml" "*.hocr" "*.{}"'.format('bin.png' if self.binarize else 'tif') # noqa
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cmd += ' && '
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cmd += 'cd -'
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deps = (pdf_compression_jobs if self.compress else
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combined_pdf_creation_jobs)
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deps = combined_pdf_creation_jobs
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deps += combined_txt_creation_jobs
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deps += poco_bundle_creation_jobs
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lbl = 'zip_creation_-_all'
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@ -413,8 +371,7 @@ class OCRPipeline(WorkflowRunner):
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cmd += ' -i "*.pdf"'
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cmd += ' && '
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cmd += 'cd -'
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deps = (pdf_compression_jobs if self.compress else
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combined_pdf_creation_jobs)
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deps = combined_pdf_creation_jobs
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lbl = 'zip_creation_-_pdf'
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zip_creation_jobs.append(self.addTask(command=cmd,
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dependencies=deps,
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@ -482,8 +439,7 @@ def main():
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args = parse_args()
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jobs = collect_jobs(args.input_directory, args.output_directory)
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ocr_pipeline = OCRPipeline(args.binarize, jobs, args.language,
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args.n_cores, args.output_directory, args.zip,
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args.compress)
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args.n_cores, args.output_directory, args.zip)
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retval = ocr_pipeline.run(
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dataDirRoot=(args.log_dir or args.output_directory),
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nCores=args.n_cores
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