python识别ocr 图片和pdf文件

#识别图片
pip3 install paddleocr
pip3 install paddlepaddle


#识别pdf
pip3 install PyMuPDF

重点：路径不能有中文，不然pdf文件访问不了

from paddleocr import PaddleOCR
from rest_framework.response import Response
from rest_framework.views import APIView


# 识别单张图片
class GetOneImage(APIView):
    def get(self, request, *args, **kwargs):
        ocr = PaddleOCR(use_angle_cls=True, lang="ch")  # need to run only once to download and load model into memory
        img_path = 'F:/OCR/data/4.png'
        result = ocr.ocr(img_path, cls=True)
        for idx in range(len(result)):
            res = result[idx]
            for line in res:
                print(line)

        # 显示结果
        for idx in range(len(result)):
            res = result[idx]
            txts = [line[1][0] for line in res]
        return Response({'code': 200, "data": txts})


import datetime
import fitz  # fitz就是pip install PyMuPDF
import os
import cv2
from paddleocr import PPStructure
from paddleocr.ppstructure.recovery.recovery_to_doc import sorted_layout_boxes

# 中文测试图
table_engine = PPStructure(recovery=True, lang='ch')


#识别pdf
class GetPDF(APIView):
    def get(self, request, *args, **kwargs):
        pdfPath = "F:/OCR/image/13.pdf";
        imagePath = "F:/OCR/image/13"
        startTime_pdf2img = datetime.datetime.now()  # 开始时间
        print("imagePath=" + imagePath)
        if not os.path.exists(imagePath):
            os.makedirs(imagePath)
        pdfDoc = fitz.open(pdfPath)
        totalPage = pdfDoc.page_count
        for pg in range(totalPage):
            page = pdfDoc[pg]
            rotate = int(0)
            zoom_x = 2
            zoom_y = 2
            mat = fitz.Matrix(zoom_x, zoom_y).prerotate(rotate)
            pix = page.get_pixmap(matrix=mat, alpha=False)
            print(f'正在保存{pdfPath}的第{pg + 1}页，共{totalPage}页')
            pix.save(imagePath + '/' + f'images_{pg + 1}.png')
        endTime_pdf2img = datetime.datetime.now()
        print(f'{pdfDoc}-pdf2img-花费时间={(endTime_pdf2img - startTime_pdf2img).seconds}秒')
        img_path = imagePath;
        text = []
        imgs = os.listdir(img_path)
        for img_name in imgs:
            img = cv2.imread(os.path.join(img_path, img_name))
            result = table_engine(img)
            h, w, _ = img.shape
            res = sorted_layout_boxes(result, w)
            for line in res:
                line.pop('img')
                print(line)
                for pra in line['res']:
                    text.append(pra['text'])
                text.append('\n')
        return Response({'code': 200, "data": text})