函数使用
1.图像转base64编码
2.图像转二进制编码
3.图像保存成二进制文件并读取二进制
4.二进制转图像
5.base64转图像
6.互转
7.二进制转base64
8.base64转二进制
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 +".webp"
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('.webp', 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.webp")}
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('.webp', 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.webp")
# 或者
image_file =r"1.webp"
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.webp")
# 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.webp",imageRead)
cv2.waitKey(0)
4.二进制转图像
def binary_cv2(bytes):
file = open("4.webp","wb")
file.write(bytes)
binary_cv2("bytes")
#或者
from PIL import Image
import io
img = Image.open(io.BytesIO("bytes"))
img.save("5.webp")
5.base64转图像
def base64_cv2(base64code):
img_data = base64.b64decode(base64code)
file = open("2.webp","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.webp","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.webp",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)
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的资料请关注易知道(ezd.cc)其它相关文章！
