使用paddleocr提取PDF和图片文本

# pip install paddlepaddle paddleocr
import sys
from pathlib import Path
current_path = Path(__file__).resolve().parent
sys.path.append(str(current_path))import numpy as np
from paddleocr import PaddleOCR
from pdf2image import convert_from_path
from PIL import Image
from typing import Unionclass OCRPlugin:"""OCR插件"""def __init__(self):self.ocr = Noneself.init_model()def init_model(self):self.ocr = PaddleOCR(use_textline_orientation=True,doc_orientation_classify_model_dir=Path.joinpath(current_path, 'paddlex/official_models/PP-LCNet_x1_0_doc_ori'),  # './paddlex/official_models/PP-LCNet_x1_0_doc_ori',doc_unwarping_model_dir=Path.joinpath(current_path, 'paddlex/official_models/UVDoc'),  # './paddlex/official_models/UVDoc',text_detection_model_dir=Path.joinpath(current_path, 'paddlex/official_models/PP-OCRv5_server_det'),  # './paddlex/official_models/PP-OCRv5_server_det',textline_orientation_model_dir=Path.joinpath(current_path, 'paddlex/official_models/PP-LCNet_x1_0_textline_ori'),  # './paddlex/official_models/PP-LCNet_x1_0_textline_ori',text_recognition_model_dir=Path.joinpath(current_path, 'paddlex/official_models/PP-OCRv5_server_rec'),  # './paddlex/official_models/PP-OCRv5_server_rec',
                        )def process_image(self, image: Union[str, np.array]):result = self.ocr.predict(image)[0]rec_texts = result['rec_texts']return rec_textsocr = OCRPlugin()def process_pdf(pdf_path):"""处理PDF:param pdf_path::return:"""# 需自行实现PDF转图片逻辑images = convert_from_path(pdf_path)text = ""for img in images:# print(type(img))np_img = np.array(img)# print(type(np_img))rec_texts = ocr.process_image(np_img)text += "\n".join(rec_texts)return textdef process_image(img_path):"""处理图片:param img_path::return:"""img = Image.open(img_path)text = ""np_img = np.array(img)rec_texts = ocr.process_image(np_img)text += "\n".join(rec_texts)return textif __name__ == '__main__':pass

第一次运行不指定模型路径，会默认下载到本地缓存。