函数使用
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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
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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
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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
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# 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
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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
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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
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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
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def binary_base64(binary): img_stream = base64.b64encode(binary) bs64 = img_stream.decode( 'utf-8' ) print (bs64) |
8.base64转二进制
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import base64 bs64 = "" img_data = base64.b64decode(bs64) print (img_data) |
以上就是Python实现图像的二进制与base64互转的详细内容,更多关于Python图像二进制转base64的资料请关注服务器之家其它相关文章!
原文链接:https://blog.csdn.net/Vertira/article/details/123844551