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106 lines
3.0 KiB
Python
106 lines
3.0 KiB
Python
import argparse
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import logging
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import os
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import re
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import subprocess
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import sys
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from table_ocr.util import working_dir, make_tempdir
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def get_logger(name):
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logger = logging.getLogger(name)
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lvl = os.environ.get("PY_LOG_LVL", "info").upper()
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handler = logging.StreamHandler()
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formatter = logging.Formatter(logging.BASIC_FORMAT)
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handler.setFormatter(formatter)
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logger.addHandler(handler)
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handler.setLevel(lvl)
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logger.setLevel(lvl)
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return logger
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logger = get_logger()
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parser = argparse.ArgumentParser()
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parser.add_argument("files", nargs="+")
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def main(files):
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pdf_images = []
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for f in files:
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pdf_images.append((f, pdf_to_images(f)))
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for pdf, images in pdf_images:
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for image in images:
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preprocess_img(image)
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for pdf, images in pdf_images:
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print("{}\n{}\n".format(pdf, "\n".join(images)))
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def pdf_to_images(pdf_filepath):
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"""
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Turn a pdf into images
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"""
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directory, filename = os.path.split(pdf_filepath)
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with working_dir(directory):
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image_filenames = pdfimages(pdf_filepath)
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# Since pdfimages creates a number of files named each for there page number
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# and doesn't return us the list that it created
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return [os.path.join(directory, f) for f in image_filenames]
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def pdfimages(pdf_filepath):
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"""
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Uses the `pdfimages` utility from Poppler
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(https://poppler.freedesktop.org/). Creates images out of each page. Images
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are prefixed by their name sans extension and suffixed by their page number.
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This should work up to pdfs with 999 pages since find matching files in dir
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uses 3 digits in its regex.
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"""
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directory, filename = os.path.split(pdf_filepath)
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filename_sans_ext = filename.split(".pdf")[0]
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subprocess.run(["pdfimages", "-png", pdf_filepath, filename.split(".pdf")[0]])
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image_filenames = find_matching_files_in_dir(filename_sans_ext, directory)
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logger.debug(
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"Converted {} into files:\n{}".format(pdf_filepath, "\n".join(image_filenames))
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)
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return image_filenames
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def find_matching_files_in_dir(file_prefix, directory):
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files = [
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filename
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for filename in os.listdir(directory)
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if re.match(r"{}-\d{{3}}.*\.png".format(re.escape(file_prefix)), filename)
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]
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return files
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def preprocess_img(filepath):
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"""
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Processing that involves running shell executables,
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like mogrify to rotate.
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"""
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rotate = get_rotate(filepath)
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logger.debug("Rotating {} by {}.".format(filepath, rotate))
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mogrify(filepath, rotate)
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def get_rotate(image_filepath):
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output = (
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subprocess.check_output(["tesseract", "--psm", "0", image_filepath, "-"])
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.decode("utf-8")
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.split("\n")
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)
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output = next(l for l in output if "Rotate: " in l)
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output = output.split(": ")[1]
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return output
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def mogrify(image_filepath, rotate):
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subprocess.run(["mogrify", "-rotate", rotate, image_filepath])
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if __name__ == "__main__":
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args = parser.parse_args()
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main(args.files)
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