Python OpenCV实现传统图片格式与base64转换
Base64是网络上最常见的用于传输8Bit字节码的编码方式之一,是一种基于64个可打印字符来表示二进制数据的方法。通过http传输图片常常将图片数据转换成base64之后再进行传输。
Base64简介
Base64是网络上最常见的用于传输8Bit字节码的编码方式之一,Base64就是一种基于64个可打印字符来表示二进制数据的方法。可查看RFC2045~RFC2049,上面有MIME的详细规范。
Base64编码是从二进制到字符的过程,可用于在HTTP环境下传递较长的标识信息。例如,在Java Persistence系统Hibernate中,就采用了Base64来将一个较长的唯一标识符(一般为128-bit的UUID)编码为一个字符串,用作HTTP表单和HTTP GET URL中的参数。在其他应用程序中,也常常需要把二进制数据编码为适合放在URL(包括隐藏表单域)中的形式。此时,采用Base64编码具有不可读性,需要解码后才能阅读。
Python中将图片转base64
# -*- coding: utf-8 -*- import base64 with open("/home/chaowei/1.png","rb") as f: # b64encode是编码,b64decode是解码 base64_data = base64.b64encode(f.read()) # base64.b64decode(base64data) print(base64_data)
在前端html中调用base64编码
<img src="data:image/jpg;base64,这里是base64的编码"/>
另外,有很多网站提供转换API,在线编码解码
base64转为图片
import os,base64 with open("C:\\Users\\wonai\\Desktop\\1.txt","r") as f: #str = "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" imgdata = base64.b64decode(f.read()) file = open('1.jpg','wb') file.write(imgdata) file.close()
Python中将base64转为opencv的Mat格式
import cv2 import base64 imgData = base64.b64decode(base64_data) nparr = np.fromstring(imgData, np.uint8) img_np = cv2.imdecode(nparr, cv2.IMREAD_COLOR) #cv2.imshow("test",img_np) #cv2.waitKey(0)
Python中将opencv的Mat格式转为base64
import cv2 import base64 imgData = base64.b64decode(base64_data) nparr = np.fromstring(imgData, np.uint8) img_np = cv2.imdecode(nparr, cv2.IMREAD_COLOR) image = cv2.imencode('.jpg', img_np)[1] base64_data = str(base64.b64encode(image))[2:-1])
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