Datasets:
Size:
1M<n<10M
ArXiv:
Tags:
Document_Understanding
Document_Packet_Splitting
Document_Comprehension
Document_Classification
Document_Recognition
Document_Segmentation
DOI:
License:
| # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. | |
| # SPDX-License-Identifier: CC-BY-NC-4.0 | |
| import os | |
| from pathlib import Path | |
| from typing import List | |
| from PIL import Image | |
| import fitz | |
| from loguru import logger | |
| class AssetWriter: | |
| """Writes document assets (PDF, images, OCR text) to disk.""" | |
| def __init__(self, output_base_path: str = ".data/rvl-cdip-nmp-hf/rvl-cdip-nmp-assets"): | |
| self.output_base_path = Path(output_base_path) | |
| def save_document_assets( | |
| self, | |
| doc_type: str, | |
| doc_name: str, | |
| filename: str, | |
| pdf_bytes: bytes, | |
| text_pages: List[str] | |
| ): | |
| """Save all assets for a document: original PDF, page images, and OCR text.""" | |
| # Create directory structure: {doc_type}/{filename}/ | |
| doc_dir = self.output_base_path / doc_type / filename | |
| original_dir = doc_dir / "original" | |
| pages_dir = doc_dir / "pages" | |
| original_dir.mkdir(parents=True, exist_ok=True) | |
| # Save original PDF | |
| original_pdf_path = original_dir / filename | |
| with open(original_pdf_path, 'wb') as f: | |
| f.write(pdf_bytes) | |
| # Extract and save page images | |
| pdf_doc = fitz.open(stream=pdf_bytes, filetype="pdf") | |
| for page_num in range(len(pdf_doc)): | |
| page = pdf_doc[page_num] | |
| page_num_str = f"{page_num + 1:04d}" | |
| # Create page directory | |
| page_dir = pages_dir / page_num_str | |
| page_dir.mkdir(parents=True, exist_ok=True) | |
| # Save page image | |
| pix = page.get_pixmap(dpi=300) | |
| img_path = page_dir / f"page-{page_num_str}.png" | |
| pix.save(str(img_path)) | |
| # Save OCR text | |
| if page_num < len(text_pages): | |
| text_path = page_dir / f"page-{page_num_str}-textract.md" | |
| with open(text_path, 'w', encoding='utf-8') as f: | |
| f.write(text_pages[page_num]) | |
| pdf_doc.close() | |
| logger.debug(f"Saved assets for {doc_type}/{doc_name}") | |