doc_analyze_by_custom_model.py 2.2 KB

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  1. import fitz
  2. import cv2
  3. from PIL import Image
  4. import numpy as np
  5. from loguru import logger
  6. from magic_pdf.model.model_list import MODEL
  7. import magic_pdf.model as model_config
  8. def dict_compare(d1, d2):
  9. return d1.items() == d2.items()
  10. def remove_duplicates_dicts(lst):
  11. unique_dicts = []
  12. for dict_item in lst:
  13. if not any(
  14. dict_compare(dict_item, existing_dict) for existing_dict in unique_dicts
  15. ):
  16. unique_dicts.append(dict_item)
  17. return unique_dicts
  18. def load_images_from_pdf(pdf_bytes: bytes, dpi=200) -> list:
  19. images = []
  20. with fitz.open("pdf", pdf_bytes) as doc:
  21. for index in range(0, doc.page_count):
  22. page = doc[index]
  23. mat = fitz.Matrix(dpi / 72, dpi / 72)
  24. pm = page.get_pixmap(matrix=mat, alpha=False)
  25. # if width or height > 2000 pixels, don't enlarge the image
  26. # if pm.width > 2000 or pm.height > 2000:
  27. # pm = page.get_pixmap(matrix=fitz.Matrix(1, 1), alpha=False)
  28. img = Image.frombytes("RGB", [pm.width, pm.height], pm.samples)
  29. img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
  30. img_dict = {"img": img, "width": pm.width, "height": pm.height}
  31. images.append(img_dict)
  32. return images
  33. def doc_analyze(pdf_bytes: bytes, ocr: bool = False, show_log: bool = False, model=MODEL.Paddle):
  34. if model_config.__use_inside_model__:
  35. from magic_pdf.model.pp_structure_v2 import CustomPaddleModel
  36. else:
  37. logger.error("use_inside_model is False, not allow to use inside model")
  38. exit(1)
  39. images = load_images_from_pdf(pdf_bytes)
  40. custom_model = None
  41. if model == MODEL.Paddle:
  42. custom_model = CustomPaddleModel(ocr=ocr, show_log=show_log)
  43. else:
  44. pass
  45. model_json = []
  46. for index, img_dict in enumerate(images):
  47. img = img_dict["img"]
  48. page_width = img_dict["width"]
  49. page_height = img_dict["height"]
  50. result = custom_model(img)
  51. page_info = {"page_no": index, "height": page_height, "width": page_width}
  52. page_dict = {"layout_dets": result, "page_info": page_info}
  53. model_json.append(page_dict)
  54. return model_json