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egs/rimes/v1/local/process_data.py 5.06 KB
8dcb6dfcb   Yannick Estève   first commit
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  #!/usr/bin/env python3
  
  """ This script reads xml file and creates the following files :text, utt2spk, images.scp.
      It also creates line images from page image and stores it into
      data/local/rimes_data/train/lines.
    Eg. local/process_data.py data/local/rimes_data/train train
    Eg. text file: writer000000_train2011-0_000001 Je vous adresse ce courrier afin
        utt2spk file: writer000000_train2011-0_000001 writer000000
        images.scp file: writer000000_train2011-0_000001 \
        data/local/rimes_data/train/lines/train2011-0_000001.png
  """
  
  import argparse
  import xml.dom.minidom as minidom
  from PIL import Image
  import os
  import random
  parser = argparse.ArgumentParser(description="""Creates line images from page image.""")
  parser.add_argument('database_path', type=str,
                      help='Path to the downloaded (and extracted) mdacat data')
  parser.add_argument('dataset', type=str,
                      help='Subset of data to process.')
  parser.add_argument("--augment", type=lambda x: (str(x).lower()=='true'), default=False,
                     help="performs image augmentation")
  parser.add_argument('--pixel-scaling', type=int, default=20,
                      help='padding across horizontal/verticle direction')
  args = parser.parse_args()
  
  def expand_aabb(left, right, top, bottom, delta_pixel):
      """ Increases size of axis aligned bounding box (aabb).
      """
      left = left - delta_pixel
      right = right + delta_pixel
      top = top - delta_pixel
      bottom = bottom + delta_pixel
      return left, right, top, bottom
  
  def get_line_images_from_page_image(file_name, left, right, top, bottom, line_id):
      """ Given a page image, extracts the line images from it.
      Input
      -----
      file_name (string): name of the page image.
      left, right, top, bottom (int): coordinates corresponding to the line image.
      line_id (int): line number on the page image.
      """
      page_image_path = os.path.join(page_image_folder, file_name)
      im = Image.open(page_image_path)
      box = (left, top, right, bottom)
      region = im.crop(box)
      base_name = os.path.splitext(os.path.basename(file_name))[0]
      line_image_file_name = base_name + '_' +  str(line_id).zfill(6) + '.png'
      imgray = region.convert('L')
      line_image_path = os.path.join(args.database_path, 'line_image', args.dataset, line_image_file_name)
      imgray.save(line_image_path)
      return base_name, line_image_path
  
  def write_kaldi_process_data_files(base_name, line_id, text):
      """creates files requires for dictionary and feats.scp.
      Input
      -----
      image_path (string): name of the page image.
      line_id (str): line number on the page image.
      text: transcription of the line image.
      base_name (string): 
      """
      writer_id = str(base_name.split('-')[1])
      writer_id = str(writer_id).zfill(6)
      writer_id = 'writer' + writer_id
      utt_id = writer_id + '_' + base_name + '_' +  str(line_id).zfill(6)
      line_image_file_name = base_name + '_' +  str(line_id).zfill(6) + '.png'
      image_path = os.path.join(args.database_path, 'line_image', args.dataset, line_image_file_name)
      text_fh.write(utt_id + ' ' + text + '
  ')
      utt2spk_fh.write(utt_id + ' ' + writer_id + '
  ')
      image_fh.write(utt_id + ' ' + image_path + '
  ')
  
  ### main ###
  text_file = os.path.join('data', args.dataset, 'text')
  text_fh = open(text_file, 'w', encoding='utf-8')
  utt2spk_file = os.path.join('data', args.dataset, 'utt2spk')
  utt2spk_fh = open(utt2spk_file, 'w', encoding='utf-8')
  image_file = os.path.join('data', args.dataset, 'images.scp')
  image_fh = open(image_file, 'w', encoding='utf-8')
  
  xml_path = os.path.join(args.database_path, 'xml', args.dataset) + '/rimes_2011.xml'
  page_image_folder = os.path.join(args.database_path, 'page_image', args.dataset)
  doc = minidom.parse(xml_path)
  single_page = doc.getElementsByTagName('SinglePage')
  for page in single_page:
      file_name = page.getAttribute('FileName')
      line = page.getElementsByTagName('Line')
      id = 0
      for node in line:
          id += 1
          bottom = int(node.getAttribute('Bottom'))
          left = int(node.getAttribute('Left'))
          right = int(node.getAttribute('Right'))
          top = int(node.getAttribute('Top'))
          text = node.getAttribute('Value')
          text_vect = text.split() # this is to avoid non-utf-8 spaces
          text = " ".join(text_vect)
          if args.augment:
              base_name, image_path = get_line_images_from_page_image(file_name, left, right, top, bottom, str(id))
              write_kaldi_process_data_files(base_name, str(id), text)
              additional_pixel = random.randint(1, args.pixel_scaling)
              left, right, top, bottom = expand_aabb(left, right, top, bottom, args.pixel_scaling + additional_pixel + 1)
              line_id = str(id) + '_scale' + str(2)
              base_name, image_path = get_line_images_from_page_image(file_name, left, right, top, bottom, line_id)
              write_kaldi_process_data_files(base_name, line_id, text)
          else:
              base_name, image_path = get_line_images_from_page_image(file_name, left, right, top, bottom, str(id))
              write_kaldi_process_data_files(base_name, str(id), text)