我使用此代码将图像插入mysql数据库并检索图像。
这段代码完美无错,但问题是将图像插入img表后,当我在mysql命令行中执行命令select * from img ;
时,它没有显示任何记录。
在数据库中创建的表;
create table img(images blob not null);
import mysql.connector
import sys
from PIL import Image
import base64
import cStringIO
import PIL.Image
db = mysql.connector.connect(user='root', password='abhi',
host='localhost',
database='cbir')
#image = Image.open('C:\Users\Abhi\Desktop\cbir-p\images.jpg')
with open("C:\Users\Abhi\Desktop\cbir-p\images.jpg", "rb") as image_file:
encoded_string = base64.b64encode(image_file.read())
#blob_value = open('C:\Users\Abhi\Desktop\cbir-p\images.jpg', 'rb').read()
sql = 'INSERT INTO img(images) VALUES(%s)'
args = (encoded_string, )
cursor=db.cursor()
cursor.execute(sql,args)
sql1='select * from img'
cursor.execute(sql1)
data=cursor.fetchall()
#print type(data[0][0])
data1=base64.b64decode(data[0][0])
file_like=cStringIO.StringIO(data1)
img=PIL.Image.open(file_like)
img.show()
db.close()
答案 0 :(得分:5)
import mysql.connector
import sys
from PIL import Image
import base64
import cStringIO
import PIL.Image
db = mysql.connector.connect(user='root', password='abhi',
host='localhost',
database='cbir')
image = Image.open('C:\Users\Abhi\Desktop\cbir-p\images.jpg')
blob_value = open('C:\Users\Abhi\Desktop\cbir-p\images.jpg', 'rb').read()
sql = 'INSERT INTO img(images) VALUES(%s)'
args = (blob_value, )
cursor=db.cursor()
cursor.execute(sql,args)
sql1='select * from img'
db.commit()
cursor.execute(sql1)
data=cursor.fetchall()
print type(data[0][0])
file_like=cStringIO.StringIO(data[0][0])
img=PIL.Image.open(file_like)
img.show()
db.close()
此代码可以正常使用
答案 1 :(得分:1)
import mysql.connector
import base64
import io
import PIL.Image
with open('lemonyellow_logo.jpg', 'rb') as f:
photo = f.read()
encodestring = base64.b64encode(photo)
db= mysql.connector.connect(user="root",password="lyncup",host="localhost",database="demo")
mycursor=db.cursor()
sql = "insert into sample values(%s)"
mycursor.execute(sql,(encodestring,))
db.commit()
sql1="select * from sample"
mycursor.execute(sql1)
data = mycursor.fetchall()
data1=base64.b64decode(data[0][0])
file_like=io.BytesIO(data1)
img=PIL.Image.open(file_like)
img.show()
db.close()