Datasets:
anirahulpersonal
commited on
Commit
•
a98088a
1
Parent(s):
86fa5eb
Add multi-threading
Browse files- DocLayNet-base.py +53 -48
DocLayNet-base.py
CHANGED
@@ -28,6 +28,7 @@ import os
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# import base64
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from PIL import Image
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import datasets
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """\
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@@ -190,51 +191,55 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, filepath, split):
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# import base64
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from PIL import Image
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import datasets
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from concurrent.futures import ThreadPoolExecutor, as_completed
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """\
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def _generate_examples(self, filepath, split):
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logger.info("⏳ Generating examples from = %s", filepath)
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ann_dir = os.path.join(filepath, "annotations")
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img_dir = os.path.join(filepath, "images")
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def process_file(file):
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texts = []
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bboxes_block = []
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bboxes_line = []
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categories = []
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file_path = os.path.join(ann_dir, file)
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with open(file_path, "r", encoding="utf8") as f:
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data = json.load(f)
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image_path = os.path.join(img_dir, file.replace("json", "png"))
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image, size = load_image(image_path)
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for item in data["form"]:
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text_example, category_example, bbox_block_example, bbox_line_example = item["text"], item["category"], item["box"], item["box_line"]
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texts.append(text_example)
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categories.append(category_example)
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bboxes_block.append(bbox_block_example)
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bboxes_line.append(bbox_line_example)
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metadata = data["metadata"]
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return {
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"texts": texts,
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"bboxes_block": bboxes_block,
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"bboxes_line": bboxes_line,
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"categories": categories,
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"image": image,
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"page_hash": metadata["page_hash"],
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"original_filename": metadata["original_filename"],
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"page_no": metadata["page_no"],
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"num_pages": metadata["num_pages"],
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"original_width": metadata["original_width"],
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"original_height": metadata["original_height"],
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"coco_width": metadata["coco_width"],
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"coco_height": metadata["coco_height"],
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"collection": metadata["collection"],
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"doc_category": metadata["doc_category"]
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}
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with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor:
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future_to_file = {executor.submit(process_file, file): file for file in sorted(os.listdir(ann_dir))}
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for guid, future in enumerate(as_completed(future_to_file)):
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file = future_to_file[future]
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try:
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result = future.result()
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yield guid, {"id": str(guid), **result}
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except Exception as exc:
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logger.error(f"Error processing {file}: {exc}")
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