1、两种方法如下链接

2、第一种方法：

# coding: utf-8

# python base64 编解码，转换成Opencv，PIL.Image图片格式

import base64

import io

from PIL import Image

import numpy as np

import matplotlib.pyplot as plt

img_file = open(r'images/mingong.jpg','rb') # 二进制打开图片文件

img_b64encode = base64.b64encode(img_file.read()) # base64编码

img_file.close() # 文件关闭

img_b64decode = base64.b64decode(img_b64encode) # base64解码

image = io.BytesIO(img_b64decode)

print(image)

img = np.array(Image.open(image))

# imgs = plt.imread(image)

# img.show()

print(img.shape)

plt.imshow(img)

plt.show()

3、第二种方法:

import base64

import numpy as np

import matplotlib.pyplot as plt

import cv2

with open(r'images/flim.png','rb') as img_file: # 二进制打开图片文件

img_b64encode = base64.b64encode(img_file.read()) # base64编码

#img_file.close() # 文件关闭

# print(img_b64encode)

img_b64decode = base64.b64decode(img_b64encode) # base64解码

# with open('./f.png','wb') as f:

# f.write(img_b64decode)

# img_array = np.fromstring(img_b64decode,np.uint8) # 转换np序列

# img=cv2.imdecode(img_array,cv2.COLOR_BGR2RGB) # 转换Opencv格式

# cv2.imshow("img",img)

# cv2.waitKey()

img_array = np.fromstring(img_b64decode,np.uint8)

print(len(img_array))

img=cv2.imdecode(img_array,cv2.COLOR_BGR2RGB)

print(np.array(img).shape)

plt.imshow(img)

plt.show()