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91 строки
2.8 KiB
91 строки
2.8 KiB
import fitz
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import time
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import re
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import os
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from sim import compute_similarity
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from flask import redirect,url_for,Blueprint
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from PIL import Image
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import math
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import operator
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from functools import reduce
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bp_2pics = Blueprint("2pics", __name__,url_prefix="/2pics")
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# 这个bp似乎没啥用，，？
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class to_pics:
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def pdf2pic(self, path, pic_path):
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t0 = time.clock()
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# 使用正则表达式来查找图片
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checkXO = r"/Type(?= */XObject)"
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checkIM = r"/Subtype(?= */Image)"
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# 打开pdf
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doc = fitz.open(path)
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# 图片计数
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imgcount = 0
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lenXREF = doc._getXrefLength()
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print(lenXREF)
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# 打印PDF的信息
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print("文件名:{}, 页数: {}, 对象: {}".format(path, len(doc), lenXREF - 1))
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# 遍历每一个对象
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for i in range(1, lenXREF):
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# 定义对象字符串
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text = doc._getXrefString(i)
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isXObject = re.search(checkXO, text)
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# 使用正则表达式查看是否是图片
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isImage = re.search(checkIM, text)
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# 如果不是对象也不是图片，则continue
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if not isXObject or not isImage:
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continue
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imgcount += 1
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# 根据索引生成图像
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pix = fitz.Pixmap(doc, i)
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# 根据pdf的路径生成图片的名称
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# new_name = path.replace('\\', '_') + "_img{}.png".format(imgcount)
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new_name = "img{}.png".format(imgcount)
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new_name = new_name.replace(':', '')
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# 如果pix.n<5,可以直接存为PNG
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if pix.n < 5:
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pix.writePNG(os.path.join(pic_path, new_name))
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# 否则先转换CMYK
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else:
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pix0 = fitz.Pixmap(fitz.csRGB, pix)
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pix0.writePNG(os.path.join(pic_path, new_name))
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pix0 = None
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# 释放资源
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pix = None
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t1 = time.clock()
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print("运行时间:{}s".format(t1 - t0))
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print("提取了{}张图片".format(imgcount))
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return str(imgcount)
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def call_pdf2pic(self, file):
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# pdf路径
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path = './upload/' + file
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pic_path = path[:-4]
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# 创建保存图片的文件夹
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if os.path.exists(pic_path):
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print("文件夹已存在，请重新创建新文件夹！")
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return "already exist"
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# raise SystemExit
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else:
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os.mkdir(pic_path)
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print(pic_path)
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m = to_pics().pdf2pic(path, pic_path)
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# return m
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return redirect(url_for('call_sim',path = file[:-4]))
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# return redirect(url_for('call_sim', m=m, pic_path=pic_path))
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# @bp_2pics.route('/tt/<m>/<pic_path>')
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# def call_sim(m, pic_path):
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# message = app.similarity(m, pic_path)
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# print("call_sim")
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# return message
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