import fitz import time import re import os from sim import compute_similarity from flask import redirect,url_for,Blueprint from PIL import Image import math import operator from functools import reduce bp_2pics = Blueprint("2pics", __name__,url_prefix="/2pics") # 这个bp似乎没啥用,,? class to_pics: def pdf2pic(self, path, pic_path): t0 = time.clock() # 使用正则表达式来查找图片 checkXO = r"/Type(?= */XObject)" checkIM = r"/Subtype(?= */Image)" # 打开pdf doc = fitz.open(path) # 图片计数 imgcount = 0 lenXREF = doc._getXrefLength() print(lenXREF) # 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._getXrefString(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continue if not isXObject or not isImage: continue imgcount += 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 = "img{}.png".format(imgcount) new_name = new_name.replace(':', '') # 如果pix.n<5,可以直接存为PNG if pix.n < 5: pix.writePNG(os.path.join(pic_path, new_name)) # 否则先转换CMYK else: pix0 = fitz.Pixmap(fitz.csRGB, pix) pix0.writePNG(os.path.join(pic_path, new_name)) pix0 = None # 释放资源 pix = None t1 = time.clock() print("运行时间:{}s".format(t1 - t0)) print("提取了{}张图片".format(imgcount)) return str(imgcount) def call_pdf2pic(self, file): # pdf路径 path = './upload/' + file pic_path = path[:-4] # 创建保存图片的文件夹 if os.path.exists(pic_path): print("文件夹已存在,请重新创建新文件夹!") return "already exist" # raise SystemExit else: os.mkdir(pic_path) print(pic_path) m = to_pics().pdf2pic(path, pic_path) # return m return redirect(url_for('call_sim',path = file[:-4])) # return redirect(url_for('call_sim', m=m, pic_path=pic_path)) # @bp_2pics.route('/tt//') # def call_sim(m, pic_path): # message = app.similarity(m, pic_path) # print("call_sim") # return message