jordyvl commited on
Commit
4931a34
·
1 Parent(s): 0774330

unit test p1 based on imagefolder

Browse files
README.md CHANGED
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  ---
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  license: cc-by-nc-4.0
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  ---
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-nc-4.0
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  ---
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+
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+ ## Required installation
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+
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+ ```bash
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+ pip3 install pypdf2 pdf2image
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+ sudo apt-get install poppler-utils
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+ ```
data/train/categoryA/90022-confcommittee-budget-051211.pdf ADDED
The diff for this file is too large to render. See raw diff
 
data/train/categoryB/581261-brown-invoice-10-29-11-04-12-2-13530037073412-pdf.pdf ADDED
Binary file (367 kB). View file
 
loader.py ADDED
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+ from pathlib import Path
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+ from typing import List
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+
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+ import datasets
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+ import pdf2image
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+
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+ logger = datasets.logging.get_logger(__name__)
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+
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+ _DESCRIPTION = "A generic pdf folder"
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+
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+
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+ class PdfFolder(datasets.GeneratorBasedBuilder):
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+ def _info(self):
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+
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+ folder=None
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+ if isinstance(self.config.data_files, str):
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+ folder = self.config.data_files
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+ elif isinstance(self.config.data_files, dict):
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+ folder = self.config.data_files.get('train', None)
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+
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+ if folder is None:
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+ raise RuntimeError()
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+
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+ classes = sorted([x.name.lower() for x in Path(folder).glob('*/**')]).unique()
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+
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "file": datasets.Sequence(datasets.Image()),
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+ "labels": datasets.features.ClassLabel(names=classes)
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+ }
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+ ),
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+ task_templates=None,
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+ )
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+
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+ def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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+
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+ data_files = self.config.data_files
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+
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+ if isinstance(data_files, str):
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+ return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'archive_path': data_files})]
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+
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+ splits = []
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+ for split_name, folder in data_files.items():
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+ splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={'archive_path': folder}))
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+
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+ return splits
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+
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+ def _generate_examples(self, archive_path):
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+ labels = self.info.features['labels']
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+ logger.info("generating examples from = %s", archive_path)
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+ extensions = {'.pdf'}
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+ for i, path in enumerate(Path(archive_path).glob('**/*')):
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+ if path.suffix in extensions:
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+
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+ images = pdf2image.convert_from_bytes(path.posix())
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+
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+ #convert PDF to list of images
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+ yield i, {'file': images, 'labels': labels.encode_example(path.parent.name.lower())}