Python图片转base64

文章目录

问题描述

Python 图片转 base64

base64 是一种用于传输 8Bit 字节码的编码方式，基于 64 个可打印字符来表示二进制数据

1.jpg

图片转base64

读取图片二进制数据，用 base64 加密（结果仍是 bytes 类型），保存

import base64

encoded = base64.b64encode(open('1.jpg','rb').read())print(encoded)open('1.txt','wb').write(encoded)# 保存

base64转图片

import base64

decoded = base64.b64decode(open('1.txt','rb').read())open('2.jpg','wb').write(decoded)# 保存

图片转base64字符串

import base64

encoded = base64.b64encode(open('1.jpg','rb').read())print(encoded.decode())# 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

base64字符串转图片

import base64

decoded ='/9j/4QAwRXhpZgAATU0AKgAAAAgAAQExAAIAAAAOAAAAGgAAAAB3d3cubWVpdHUuY29tAP/bAEMAAgEBAQEBAgEBAQICAgICBAMCAgICBQQEAwQGBQYGBgUGBgYHCQgGBwkHBgYICwgJCgoKCgoGCAsMCwoMCQoKCv/bAEMBAgICAgICBQMDBQoHBgcKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCv/AABEIADIAMgMBEQACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/AOw/aK13TU+CXjnTrK98y40uKCLVju/1cjFHEfHcKwJHuK/H8udV5jRk+rdvPdH9lU6SupNKzTseKfCzUUFlLtlB3SnCn0r28Wpc6uelTpxlE9L8HeF9Y+IV8mm6Dq2nxO5+VriVsMccY2g1McJU5b3seTmOcYLARvOEpW7L/Noq/Gv4d+MvhdA1n4/0c20V7CwtLuJvMguDjOEkHG4f3ThvbHNaU6NSnNNbCy7NctzeEvYT95bp6SXy/VXR2/grxNb3fgPSrm+ZhdNYRMZR9+T5QA36DmvGxlGMcQ3Ha+xt7GfO4rVHnn/BQj4zeCvhz4T0b9o9J7W58R+KHfTdU8MNchJbjUreJcX+37wt3h2eY46SLtHL17fDeAr5lUeF2hDXm7RfT1vt/kj55V/7EnPDSjeK96n2ae8W/wC6/wALH58X37WP7R9zezXMfxe1mBZJWZYbUpHFGCc7UXadqjoB2GBX6ZHIsqjFL2Kfre/z13PJeZ46Tv7Vq/ax9t+DjrOo/sffFHU9VvWu7qbUori5uJZNzSyN5eWY9zmvyuv7KOd4aMVZJWX4n3cuZNXerUjC8C2V0fAOsa9FuK2NzaQymNSQvnM+ST2G2Nh+IrqryjLERi+t/wADpU3Ccaa63f3W/wAz6D/Zl8M2T6xZ6jf3LW1vakTKqnEty2OOf4F9hye2ByW5q+p8nxDOpGjKEFdvT0/4J9Ya7F8Jvi/8NNQ+FvxG01LjQtTg8q+gRvLaEqcpMjjmOVGAZXzkEc5BIrspyi7NH5U6eYZfjFiKLamtn+np3PmnRP2FfjDrPxI+HxT4i2WmeF/BcV5beIdaI3Prdo6osaQwnADNhXMj4WNgcBulc9GhSnHFQrR+Jrlfbre/4eZ9/juNadHD0amGjzVWveg72WlrO3nqrdPU+Fvif8F/EX7Vf/BSXxn8Jo/Ez6j4e8IeIbnTZNYgUCO20q0mMaxoASBJI4YEjq7M3QAD7PCzw3D+QwnFatX16yff0X4aHO8biM5tiKq5W0tF0XZX7n21pvwS+DWj6db6TZ/DLSBDawJDEG02MnaoCjkrk8DvXw88yx1Sbm6ju9d2dKgkrJHjvglYP+GNPirZ2cf/AB7vEc92z5ZrirqX9u4aT6/8E+3rySnBeUiv+zpqlnbeBPHXhLW4FC6vpNvcWDhAzG5t5gBEAQc70uGPt5ea2xtPnxNKS+zL8H/lYMTGqq1GtDZXi/Rq9/k1+J5f8WP22tb0m+n8CfBG8M9/EcTajDuLSOCcw2+PvvkBc92YYBFff5Pw7S5PrGLXS6i9NO7/AMj4zOM0U5exo97NrX5I+0/2Jvhr8arbyPGnx/8AFupXmuauoFh4NuHjFlo8XDGSQIMyTHPG4kKowBnNeNnNfKpVIwwcFGFk7q95P5vb8z5Wq8bUpzTbai7N/p69zzP/AIKI/wDBQz4rfBfUvF3witdLNhqeh+IobDTLSzwttNG9sLuG/vJGHmTLtHy28ZSNnUhyyqQ2mX5ZHGxpyv7lnzLrdO1l+bb6bHTgMvw1CmqvxTkk1LsndOy2vfS+/U5n/gmz8KP+FffAA+PvFZkXXfG162q3l3d/6ySN8mPc3qcs595DXNxJi/rOPVGGsaatZd+v+XyPUpWpQ5Vp/Wh7u0vzHbdZGeCGr57lga3kfNX7P/iK38Wfsk/GyFFlxbz2scat97lIzzxxWmZUJUM3wnn/AJs+xVaFatB9FzfkeRfGr4l3fgjwfceEdEVltLbWbV9R1i3VTdyySsYvs6c4SJFEvzD5pGkwcLwf0bJuH8NShDHYnVtfD011u+78tvU+NznP8VisXLC0XaKenfTr87/8MP8A2QvDPhL4ZfHab41+OLG1v1i17+zfhxoc4V0ur9oxNLcTbTgx2MbKjgf8t2RM5yRlxHmM6+DnCj8Nry6O17RX/bz1/wAK8zDKcslisXTwsnZvdrWySvK3Z9F5tvofbHwn8Fv4D+L2geJb342a9rWq+KL25iub7Vb3eqpJH+5QQgCJRDIBtAGCDtPGMfBVcXCvGMeRRt26+p9NiMCoZZi4qHuwiuVO2lnd2aV9Vu3qfCPxt8DeI/iZ8cPGPw5v/Guo+JdUvfF/hy2uNT1G6M0+yRZ4pdznk4EgOOAu/aAFAA+1y7F06GXxr8igkpuy20tb8jysxwsKGJjRg7pJLZK3W2mnU/QHwj4bv9W1XTPhd4Lt40HlJBAWXMVvBGuC5HcADp3JA718BiMRChTli6z63t1beyXqcdWUVB3R6mP2IdOcb5fF2plzyxXyVBPfA2nH0ycVxrPsxauqMfx/zPGeNop7nwT+xJcXV/8AsP8Axb0/XLGVNVjusajYTqYZoThBhwwBX5VyCa+jz6jGPEOFpw1j0fr/AJH3WGxLlh415O1ua/yX6nlHwRXwp8UvEGs3vir7RLpd/rQ8+xVgqXNjxIEjPG1ySwVxjJGAwNfrSoVI5Y6NP4lFJeqWn+Z+cYvEpZgq0tm2/v8Av6Hn+r/HzWYf2kB47u/Cw0yz0q7ltdD8MRqqR6XZ+Yc26qPlVifmYj7zEkk8GvmMZlsquWzoOV5P4n3lvf06LyPrclxkMJi6ddL/ADtt/XmfoH4C8Q/ETWPBs/jjwP4ZuNX1ex0SafSPCT6ZFLeS3PlE7YQ6sAx4GQcjse1fnNGgvrCpzmkm0m+i8/Q+yzrE4OjhpTqRaW71avbZO3n8j5Q/YUh1yH4+av4q+LFvdW+qiPUZ9dtruzkSe3vhdQkB4mG9CpZgARkCvss/ilhFRo/D7iXbl1/Pc+Mo1XWpe2vzSlzN+r/y2P0X/Yh1zwZ4g+KPiPxG/iK0bT9E8NGa5vGuVVLffKMs5J+QBY3JJxjHNfA59RdPD0VPdy0S6tL/AIJ4+YzxHsuSMXduxrXv/BYL/gn1YXs1ivxYvrgQytGJ7TwfqUsUmDjcjrDh1PUMOCCCK1jk2e8q/cr5yjf5+9uef/YOOev6/wDAPjb4KXniy5/Yh8b+M/FIuINa1f4K6ZNfXd4pWaW5iW/tXlkPUu2xMk89K+kzr2cuJ8Eoax5+nrE+jylTjlVanN2alJW7XimfEPwE8V6jpXjzwuLKdgsbrHtaTHmMrlgqliFRsMFUEgZwD1NfrFKVpnzOKhGVGVztNFsNB+M37Qusapp2mSxW9qz25gUgi4vHjEMMSggEsGyz8YVYyckc18ln+LeDouMX8T+6Kd2/0Xds+r4YwDrJSqa8qfzctEv19NT9Dfg5qj+BNYsII58JHCkYlHG4jAPP15r8mlU55PmPvc4wkMVg3FLb+rnVft6eH/h74M8S+Fv2z5dPnWfV9Bl8L+ILjTbPzGmYMtzb3EwXlmVIp4t3LFdg5CjHv4R1KuDjh4PRPmV/ut+Nz8oyqNSFevhXutUvzt+B5P8AF340/DLwb+xBbaJ4caJtZ+MN/wDaLi4B2yahoMBEgbYQGihLkREuBuYSAZrhp4bGYviCTtpQ08lK34vrp5H0WAoU5YiNSvK8IRbS/vydn9yXyuj5Wu/GmhWd1LaTyIrxSMjrjGCDgjGOK+yjl94q6OqWOfM7HtfgWWRv+CQ2o6g0jGeX4R3Syzk/O4XWblQC3UgLwPQcVwZml/rlg1/e/RHhYJv6niv8X/th8cfD2OOLw4Z4o1V47m0aN1GCrZbkHsa/U4/AfP1v4iX9bHu/7D+k6VHo+u6tHplut0fEF0puRCokx5h43YzivyPjWpU/tXku7W26fcfrvB9OmsmhOyv36n1h4fAe1iLjJDAjPbmvjX8J7OL+JnoX7XwE/wCwPKZxvMfjDRjHv52kz4OPTgkfQmvpsk1mvn+R+QYj3eJHb+V/kfCfjq3t5viboyTQI4/tFIMMoP7pGLIn+6p5A6A8ivXyht05+p9bm8YwpQ5Vb3f0R8o6/fXs2u3s015KztdyFmaQkkljkk19ckrHhpKx/9k='
decoded = decoded.encode('raw_unicode_escape')# str转bytes
decoded = base64.b64decode(decoded)open('2.jpg','wb').write(decoded)# 保存

二进制图片转base64字符串

requirements.txt

python-magic
python-magic-bin;platform_system=="Windows"

安装

pip install-r requirements.txt

代码

import base64

import magic

bytes=open('1.jpg','rb').read()
mimetype = magic.from_buffer(bytes, mime=True)
prefix ='data:{};base64,'.format(mimetype)
decoded = prefix + base64.b64encode(bytes).decode()print(decoded)# data:image/jpeg;base64,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

base64图片在线转换

封装

TODO

• 封装成函数
• 检测是否成功

参考文献

1. base64 数据编码 — Python 文档
2. Python解析\u字符串，\x字符串，十六进制字符串
3. Python文件类型识别——python-magic