不想说啥啦,直接上代码,这里我进行的运行时macOS 10.15,python是3.9
import base64
# base64 数据读取图片 ok
if __name__ == "__main__":
dir = '/Users/admin/Desktop/1.jpg'
basef = open(dir.split('.')[0] + '_base64.txt', 'w')
with open(dir, 'rb') as f:
base64_data = base64.b64encode(f.read())
s = base64_data.decode()
data = 'data:image/jpeg;base64,%s' % s
print(data)
basef.write(data)
basef.close()
# base64 数据读取图片 ok
image_path = '/Users/admin/Desktop/1.jpg'
with open(image_path, 'rb') as f:
image = f.read()
image_base64 = str(base64.b64encode(image), encoding='utf-8')
print(image_base64)
# base64 保存图片 ok
import os,time
# 前端上传的base64,存放在django的媒体文件库中
avatar_url = "data:image/jpeg;base64,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"
if avatar_url:
b64_data = avatar_url.split(';base64,')[1]
data = base64.b64decode(b64_data)
image_url = 'image%s.jpg' % int(time.time())
with open(image_url, 'wb') as f:
f.write(data)
# # 截取media路径,存放在字段中
# image_url = image_url.split("project_name")[1].replace('\\', '/')[1:]
# user对象
# user.avatar_url = image_url
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