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@ -42,18 +42,20 @@ RUN wget -nv https://github.com/Illumina/pyflow/releases/download/v"$PYFLOW_VERS
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# Install Tesseract OCR and Data Files
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RUN echo "deb https://notesalexp.org/tesseract-ocr/stretch/ stretch main" >> /etc/apt/sources.list && \
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echo "deb https://notesalexp.org/tesseract-ocr/tessdata_best/ stretch main" >> /etc/apt/sources.list && \
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echo "deb https://notesalexp.org/tesseract-ocr/tessdata_legacy/ stretch main" >> /etc/apt/sources.list && \
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wget -O - https://notesalexp.org/debian/alexp_key.asc | apt-key add - && \
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apt-get update && \
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apt-get install -y --no-install-recommends \
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tesseract-ocr \
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tesseract-ocr-deu \
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tesseract-ocr-frk \
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tesseract-ocr-eng \
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tesseract-ocr-enm \
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tesseract-ocr-fra \
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tesseract-ocr-frm \
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tesseract-ocr-por \
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tesseract-ocr-spa
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tesseract-ocr-deu-best \
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tesseract-ocr-deu-frak-legacy \
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tesseract-ocr-eng-best \
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tesseract-ocr-enm-best \
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tesseract-ocr-fra-best \
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tesseract-ocr-frm-best \
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tesseract-ocr-por-best \
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tesseract-ocr-spa-best
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COPY ocr /usr/local/bin
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COPY hocrtotei /usr/local/bin
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19
ocr
19
ocr
@ -73,6 +73,7 @@ class OCRWorkflow(WorkflowRunner):
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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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self.defaultNCores = min(nCores, max(1, int(nCores / len(jobs))))
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def workflow(self):
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@ -95,7 +96,7 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(job["output_dir"], "tmp", "binarized_png"),
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os.path.join(job["output_dir"], "tmp", "normalized_png"),
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)
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create_output_directories_jobs.append(self.addTask(label="create_output_directories_job_-_%i" % (create_output_directories_job_number), command=cmd))
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create_output_directories_jobs.append(self.addTask(label="create_output_directories_job_-_%i" % (create_output_directories_job_number), command=cmd, nCores=self.defaultNCores))
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###
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# Task "split_job": split input file into one tiff file per page
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@ -115,7 +116,7 @@ class OCRWorkflow(WorkflowRunner):
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job["path"],
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os.path.join(job["output_dir"], "tmp", "page")
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)
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split_jobs.append(self.addTask(label="split_job_-_%i" % (split_job_number), command=cmd, dependencies=create_output_directories_jobs))
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split_jobs.append(self.addTask(label="split_job_-_%i" % (split_job_number), command=cmd, dependencies=create_output_directories_jobs, nCores=self.defaultNCores))
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###
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# Task "ocropus_nlbin_job": binarize tiff files from previous split
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@ -153,7 +154,7 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(job["output_dir"], "tmp", file),
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os.path.join(job["output_dir"], "tmp", "page-%i.%s" % (int(file.split(".", 1)[0]), file.split(".", 1)[1])),
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)
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post_binarization_jobs.append(self.addTask(label="post_binarization_job_-_%i" % (post_binarization_job_number), command=cmd, dependencies=binarization_jobs))
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post_binarization_jobs.append(self.addTask(label="post_binarization_job_-_%i" % (post_binarization_job_number), command=cmd, dependencies=binarization_jobs, nCores=self.defaultNCores))
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###
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# Task "ocr_job": perform OCR
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@ -196,7 +197,7 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(job["output_dir"], "tmp"),
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os.path.join(job["output_dir"], job["filename"].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=ocr_jobs))
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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=ocr_jobs, nCores=self.defaultNCores))
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###
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# Task "pdf_merge_job": Merge PDF files
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@ -210,7 +211,7 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(job["output_dir"], "tmp"),
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os.path.join(job["output_dir"], job["filename"].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=ocr_jobs))
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pdf_merge_jobs.append(self.addTask(label="pdf_merge_job_-_%i" % (pdf_merge_job_number), command=cmd, dependencies=ocr_jobs, nCores=self.defaultNCores))
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###
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# Task "txt_merge_job": Merge .txt files
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@ -224,11 +225,11 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(job["output_dir"], "tmp"),
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os.path.join(job["output_dir"], job["filename"].rsplit(".", 1)[0] + ".txt")
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)
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txt_merge_jobs.append(self.addTask(label="txt_merge_job_-_%i" % (txt_merge_job_number), command=cmd, dependencies=ocr_jobs))
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txt_merge_jobs.append(self.addTask(label="txt_merge_job_-_%i" % (txt_merge_job_number), command=cmd, dependencies=ocr_jobs, nCores=self.defaultNCores))
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###
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# Task "cleanup_job": remove temporary files
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# Dependencies: hocr_to_teip5_jobs + pdf_merge_jobs + txt_merge_jobs
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# Dependencies: hocr_to_tei_jobs + pdf_merge_jobs + txt_merge_jobs
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###
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cleanup_jobs = []
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cleanup_job_counter = 0
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@ -252,14 +253,14 @@ class OCRWorkflow(WorkflowRunner):
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os.path.join(job["output_dir"], "tmp"),
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os.path.join(job["output_dir"], "tmp", "normalized_png"),
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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 + pdf_merge_jobs + txt_merge_jobs))
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cleanup_jobs.append(self.addTask(label="cleanup_job_-_%i" % (cleanup_job_counter), command=cmd, dependencies=hocr_to_tei_jobs + pdf_merge_jobs + txt_merge_jobs, nCores=self.defaultNCores))
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else:
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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 + pdf_merge_jobs + txt_merge_jobs))
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cleanup_jobs.append(self.addTask(label="cleanup_job_-_%i" % (cleanup_job_counter), command=cmd, dependencies=hocr_to_tei_jobs + pdf_merge_jobs + txt_merge_jobs), nCores=self.defaultNCores)
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def analyze_jobs(inputDir, outputDir):
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