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Implementation of python batch reading of images and storing them in the database

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Release: 2018-04-09 13:43:45
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这次给大家带来python批量读取图片且存入数据库的实现,python批量读取图片且存入数据库的注意事项有哪些,下面就是实战案例,一起来看一下。

本文实例讲述了Python实现批量读取图片并存入mongodb数据库的方法。分享给大家供大家参考,具体如下:

我的图片放在E:\image\中,然后使用python将图片读取然后,显示一张,存入取一张(可以注释掉显示图片的语句),通过Gridfs的方式存入图片。代码如下:

# --* coding=utf-8 *--
from cStringIO import StringIO
from pymongo import MongoClient
import gridfs
import os
import matplotlib.pyplot as plt
import matplotlib.image as iming
import bson.binary
import numpy as np
if name == 'main':
  connect = MongoClient('127.0.0.1', 27017) # 创建连接点
  db = connect.mydb
  print db.collection_names()
  imgput = gridfs.GridFS(db)
  dirs = 'G:\image'
  files = os.listdir(dirs)
  for file in files:
    filesname = dirs + '\\' + file
    print filesname
    imgfile=iming.imread(filesname)
    # iming.imsave('s.jpg',imgfile)
    # print type(imgfile),imgfile
    # imgfile.shape()
    plt.imshow(imgfile)
    plt.axis('off')
    plt.show()
    f=file.split('.')
    print f
    datatmp=open(filesname,'rb')
    data=StringIO(datatmp.read())
    content=bson.binary.Binary(data.getvalue())
    # print content
    insertimg=imgput.put(data,content_type=f[1],filename=f[0])
    datatmp.close()
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