网络编程
位置:首页>> 网络编程>> Python编程>> Python实现图像的二进制与base64互转

Python实现图像的二进制与base64互转

作者:Vertira  发布时间:2021-03-18 17:57:55 

标签:Python,图像,二进制,base64

函数使用

def base64_to_image(base64_code):
   img_data = base64.b64decode(base64_code)
   img_array = numpy.fromstring(img_data, numpy.uint8)
   # img_array = np.frombuffer(image_bytes, dtype=np.uint8) #可选
   image_base64_dec = cv2.imdecode(img_array, cv2.COLOR_RGB2BGR)
   return image_base64_dec

def image_to_base64(full_path):
   with open(full_path, "rb") as f:
       data = f.read()
       image_base64_enc = base64.b64encode(data)
       image_base64_enc = str(image_base64_enc, 'utf-8')
   return image_base64_enc
#传base64    
img_bytes = request.json["img_stream"]
img_cv = base64_to_image(img_bytes)
uuid_str = str(uuid.uuid1())
img_path = uuid_str +".jpg"
cv2.imwrite(img_path,img_cv)

1.图像转base64编码

import cv2
import base64

def cv2_base64(image):
   img = cv2.imread(image)
   binary_str = cv2.imencode('.jpg', img)[1].tostring()#编码
   base64_str = base64.b64encode(binary_str)#解码
   base64_str = base64_str.decode('utf-8')
   myjson={"bs64":cv2_base64("1.jpg")}
   print(myjson)
   return base64_str

2.图像转二进制编码

import cv2
import base64

def cv2_binary(image):
   img = cv2.imread(image)
   binary_str = cv2.imencode('.jpg', img)[1].tostring()#编码
   print(binary_str)
   # base64_str = base64.b64encode(binary_str)#解码
   # base64_str = base64_str.decode('utf-8')
   # print(base64_str)
   return binary_str

cv2_binary("1.jpg")
# 或者
image_file =r"1.jpg"
image_bytes = open(image_file, "rb").read()
print(image_bytes)# 二进制数据

3.图像保存成二进制文件并读取二进制

#   python+OpenCV读取图像并转换为二进制格式文件的代码

# coding=utf-8
'''
Created on 2016年3月24日
使用Opencv读取图像将其保存为二进制格式文件,再读取该二进制文件,转换为图像进行显示
@author: hanchao
'''
import cv2
import numpy as np
import struct

image = cv2.imread("1.jpg")
# imageClone = np.zeros((image.shape[0],image.shape[1],1),np.uint8)

# image.shape[0]为rows
# image.shape[1]为cols
# image.shape[2]为channels
# image.shape = (480,640,3)
rows = image.shape[0]
cols = image.shape[1]
channels = image.shape[2]
# 把图像转换为二进制文件
# python写二进制文件,f = open('name','wb')
# 只有wb才是写二进制文件
fileSave = open('patch.bin', 'wb')
for step in range(0, rows):
   for step2 in range(0, cols):
       fileSave.write(image[step, step2, 2])
for step in range(0, rows):
   for step2 in range(0, cols):
       fileSave.write(image[step, step2, 1])
for step in range(0, rows):
   for step2 in range(0, cols):
       fileSave.write(image[step, step2, 0])
fileSave.close()

# 把二进制转换为图像并显示
# python读取二进制文件,用rb
# f.read(n)中n是需要读取的字节数,读取后需要进行解码,使用struct.unpack("B",fileReader.read(1))函数
# 其中“B”为无符号整数,占一个字节,“b”为有符号整数,占1个字节
# “c”为char类型,占一个字节
# “i”为int类型,占四个字节,I为有符号整形,占4个字节
# “h”、“H”为short类型,占四个字节,分别对应有符号、无符号
# “l”、“L”为long类型,占四个字节,分别对应有符号、无符号
fileReader = open('patch.bin', 'rb')
imageRead = np.zeros(image.shape, np.uint8)
for step in range(0, rows):
   for step2 in range(0, cols):
       a = struct.unpack("B", fileReader.read(1))
       imageRead[step, step2, 2] = a[0]
for step in range(0, rows):
   for step2 in range(0, cols):
       a = struct.unpack("b", fileReader.read(1))
       imageRead[step, step2, 1] = a[0]
for step in range(0, rows):
   for step2 in range(0, cols):
       a = struct.unpack("b", fileReader.read(1))
       imageRead[step, step2, 0] = a[0]

fileReader.close()
cv2.imshow("source", image)
cv2.imshow("read", imageRead)
cv2.imwrite("2.jpg",imageRead)
cv2.waitKey(0)

4.二进制转图像

def binary_cv2(bytes):
   file = open("4.jpg","wb")
   file.write(bytes)

binary_cv2("bytes")
#或者
from PIL import Image
import io
img = Image.open(io.BytesIO("bytes"))
img.save("5.jpg")

5.base64转图像

def base64_cv2(base64code):
   img_data = base64.b64decode(base64code)
   file = open("2.jpg","wb")
   file.write(img_data)
   file.close()

base64_cv2("base64code")
============================================
with open("1.txt","r") as f:
   img_data = base64.b64decode(f.read())
   file = open("3.jpg","wb")
   file.write(img_data)
   file.close()

6.互转

def base64_to_image(base64_code):
   img_data = base64.b64decode(base64_code)
   img_array = numpy.fromstring(img_data, numpy.uint8)
   image_base64_dec = cv2.imdecode(img_array, cv2.COLOR_RGB2BGR)
   return image_base64_dec #图像矩阵,需要cv2.imwrite写入cv2.imwrite("1.jpg",img)

def image_to_base64(full_path):
   with open(full_path, "rb") as f:
       data = f.read()
       image_base64_enc = base64.b64encode(data)
       image_base64_enc = str(image_base64_enc, 'utf-8')
   return image_base64_enc

7.二进制转base64

def binary_base64(binary):
   img_stream = base64.b64encode(binary)
   bs64 = img_stream.decode('utf-8')
   print(bs64)

8.base64转二进制

import base64

bs64 = ""
img_data = base64.b64decode(bs64)
print(img_data)

来源:https://blog.csdn.net/Vertira/article/details/123844551

0
投稿

猜你喜欢

手机版 网络编程 asp之家 www.aspxhome.com