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Python如何实现图像的二进制与base64互转

发表于:2025-01-31 作者:千家信息网编辑
千家信息网最后更新 2025年01月31日,这篇"Python如何实现图像的二进制与base64互转"文章的知识点大部分人都不太理解,所以小编给大家总结了以下内容,内容详细,步骤清晰,具有一定的借鉴价值,希望大家阅读完这篇文章能有所收获,下面我
千家信息网最后更新 2025年01月31日Python如何实现图像的二进制与base64互转

这篇"Python如何实现图像的二进制与base64互转"文章的知识点大部分人都不太理解,所以小编给大家总结了以下内容,内容详细,步骤清晰,具有一定的借鉴价值,希望大家阅读完这篇文章能有所收获,下面我们一起来看看这篇"Python如何实现图像的二进制与base64互转"文章吧。

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 cv2import 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 cv2import 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 cv2import numpy as npimport 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 Imageimport ioimg = 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)

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