界面做的比较好的网站百度推广的方式

前段时间我写了Python识别拖放的PDF文件再转成文本文件-CSDN博客

最近有2点更新，一是有一些pdf文件转换出来的图片是横的，这样也可以识别文字，但是可能会影响效果，另一个是发现有一些文字识别不出来，看了关于提高PaddleOCR识别准确率的一些优化（一）_如何提高paddleocr识别准确率-CSDN博客发现是图片文件的尺寸太大了，为此将其缩小一半再识别。确实提高了识别率。

代码：

# -*- coding: utf-8 -*-
"""
Created on Sun Aug 25 10:42:39 2024@author: YBK
"""import tkinter as tk
import windnd
from tkinter.messagebox import showinfo
import os
from PIL import Image
import fitz
from fitz import Document as openPDF
import time
import re
from paddleocr import PaddleOCR
import subprocessdef dec_to_36(num):base = [str(x) for x in range(10)] + [chr(x) for x in range(ord('A'),ord("A")+26)]# 前者把 0 ~ 9 转换成字符串存进列表 base 里，后者把 A ~ Z 存进列表l = []if num<0:return "-"+dec_to_36(abs(num))while True:num,rem = divmod(num,36) # 求商 和 留余数l.append(base[rem])if num == 0:return "".join(l[::-1])def nowtime_to_str():#将当前时间戳转化为36进制，约6位字符，减少文件名长度unix_timestamp = int(time.time())return(dec_to_36(unix_timestamp))def pdf2pic(path, pic_path):'''# 从pdf中提取图片:param path: pdf的路径:param pic_path: 图片保存的路径:return:'''t0 = time.perf_counter()# 使用正则表达式来查找图片checkXO = r"/Type(?= */XObject)"checkIM = r"/Subtype(?= */Image)"# 打开pdfdoc = openPDF(path)# 图片计数imgcount = 0lenXREF = doc.xref_length()# 打印PDF的信息print("文件名:{}, 页数: {}, 对象: {}".format(path, len(doc), lenXREF - 1))# 遍历每一个对象for i in range(1, lenXREF):# 定义对象字符串text = doc.xref_object(i)isXObject = re.search(checkXO, text)# 使用正则表达式查看是否是图片isImage = re.search(checkIM, text)# 如果不是对象也不是图片，则continueif not isXObject or not isImage:continueimgcount += 1# 根据索引生成图像pix = fitz.Pixmap(doc, i)# 根据pdf的路径生成图片的名称# new_name = path.replace('\\', '_') + "_img{}.png".format(imgcount)# new_name = new_name.replace(':', '')new_name = os.path.basename(path).replace('.pdf', '_') + "img" + str(imgcount).zfill(3) + ".png"# 如果pix.n<5,可以直接存为PNGif pix.n < 5:pix._writeIMG(os.path.join(pic_path, new_name),1,10)# 否则先转换CMYKelse:pix0 = fitz.Pixmap(fitz.csRGB, pix)pix0._writeIMG(os.path.join(pic_path, new_name),1,10)pix0 = None# 释放资源pix = Noneimage = Image.open(os.path.join(pic_path, new_name))#对于尺寸大于2000 * 2000的图像，缩放至（h * 0.5，w * 0.5）识别准确率有所提升if image.width > 2000 or image.height > 2000:new_image = image.resize((int(image.width * 0.5), int(image.height * 0.5)))new_image.save(os.path.join(pic_path, new_name))print("缩小图片尺寸")new_image.close()image = Image.open(os.path.join(pic_path, new_name))#对于图片宽度大于高度，左旋转if image.width > image.height: rotated_img = image.transpose(Image.ROTATE_90)print("左旋转")rotated_img.save(os.path.join(pic_path, new_name))           image.close()t1 = time.perf_counter()print("运行时间:{}s".format(t1 - t0))print("提取了{}张图片".format(imgcount))
def get_file_size(file_path):# 获取文件的大小（单位为字节）file_size = os.stat(file_path).st_sizereturn file_size
def dragged_files(files):fileurl = ''if len(files) > 1:# print("请拖放一个文件！")showinfo("提示","请拖放一个文件！")else:# print(files[0].decode('gbk'))fileurl = files[0].decode('gbk')# print(os.path.splitext(fileurl)[1])if fileurl != '' and os.path.splitext(fileurl)[1] == '.pdf':pdfpath = fileurlfilename0 = os.path.basename(fileurl).replace('.pdf','') + nowtime_to_str()# filename0 用于生成文件夹和文件名，为了不重复，在后面加入编码后的时间戳pic_path = f'e:\\临时文件夹\\{filename0}\\'if not os.path.exists(pic_path):os.mkdir(pic_path)m = pdf2pic(pdfpath, pic_path)pngpath = pic_pathouttxtpath = 'e:\\临时文件夹\\'+filename0+'.txt'ocr = PaddleOCR(use_angle_cls=True, lang="ch") # need to run only once to download and load model into memorylines = []for filename in os.listdir(pngpath):img_path = pngpath+filenameresult = ocr.ocr(img_path, cls=True)print(img_path)# image = Image.open(img_path).convert('RGB')if result[0] is not None:boxes = [detection[0] for line in result for detection in line] # Nested loop addedtxts = [detection[1][0] for line in result for detection in line] # Nested loop addedscores = [detection[1][1] for line in result for detection in line] # Nested loop addedfor box, txt, score in zip(boxes, txts, scores):if score > 0.7:# lines.append(txt.replace('\n',''))lines.append(txt+'\n')# lines.append('\n')with open(outtxtpath, 'w', encoding='utf-8') as f:f.writelines(line for line in lines)subprocess.run(['notepad.exe', outtxtpath], check=True)if __name__ == '__main__':rootWindow = tk.Tk()rootWindow.title("拖放PDF文件识别文字")rootWindow.geometry("300x120")windnd.hook_dropfiles(rootWindow , func=dragged_files)rootWindow.mainloop()