Python实现图像的二进制与base64互转

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)

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

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

#   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)

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")

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()

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

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

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