目录

前言

环境依赖

代码

总结 

前言

本文提供将图片分辨率调整的python代码，一如既往的实用主义。

环境依赖

ffmpeg环境安装，可以参考我的另一篇文章：windows ffmpeg安装部署_阿良的博客-CSDN博客

ffmpy安装：

pip install ffmpy -i https://pypi.douban.com/simple

代码

不废话，上代码。

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2021/12/11 21:43
# @Author  : 剑客阿良_ALiang
# @Site    :
# @File    : image_tool.py

import os
import uuid
from ffmpy import FFmpeg


# 调整图片大小
def change_size(image_path: str, output_dir: str, width: int, height: int):
    ext = os.path.basename(image_path).strip().split('.')[-1]
    if ext not in ['png', 'jpg']:
        raise Exception('format error')
    _result_path = os.path.join(
        output_dir, '{}.{}'.format(
            uuid.uuid1().hex, ext))
    ff = FFmpeg(inputs={'{}'.format(image_path): None}, outputs={
        _result_path: '-vf scale={}:{}'.format(width, height)})
    print(ff.cmd)
    ff.run()
    return _result_path

代码说明：

1、change_size方法入参分别为：图片地址、输出目录地址、需要修改的宽、需要修改的高。

2、验证的图片格式只有png、jpg，如需添加自行添加。

3、为了避免输出文件文件名重复，使用uuid作为文件名。

验证一下：

准备的图片如下：

执行代码：

if __name__ == '__main__':
    print(change_size('data/1234.jpg', 'data/', 1280, 720))

执行结果：

E:\ProgramData\Anaconda3\envs\pytorch\python.exe C:/Users/yi/PycharmProjects/test/image_tool.py
ffmpeg -i data/123.jpg -vf scale=1280:720 data/709ad7cc5a8a11ec82c82c4d54eea02b.jpg
ffmpeg version n4.3.1-20-g8a2acdc6da Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 9.3-win32 (GCC) 20200320
  configuration: --prefix=/ffbuild/prefix --pkg-config-flags=--static --pkg-config=pkg-config --cross-prefix=x86_64-w64-mingw32- --arch=x86_64 --target-os=mingw32 --enable-gpl --enable-version3 --disable-debug --enable-iconv --enable-zlib --enable-libxml2 --enable-libfreetype --enable-libfribidi --enable-gmp --enable-lzma --enable-fontconfig --enable-libvmaf --disable-vulkan --enable-libvorbis --enable-amf --enable-libaom --enable-avisynth --enable-libdav1d --enable-ffnvcodec --enable-cuda-llvm --disable-libglslang --enable-libass --enable-libbluray --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvpx --enable-libwebp --enable-libmfx --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librav1e --enable-schannel --enable-sdl2 --enable-libsoxr --enable-libsrt --enable-libtwolame --enable-libvidstab --enable-libx264 --enable-libx265 --enable-libxvid --enable-libzimg --extra-cflags=-DLIBTWOLAME_STATIC --extra-cxxflags= --extra-ldflags=-pthread --extra-libs=-lgomp
  libavutil      56. 51.100 / 56. 51.100
  libavcodec     58. 91.100 / 58. 91.100
  libavformat    58. 45.100 / 58. 45.100
  libavdevice    58. 10.100 / 58. 10.100
  libavfilter     7. 85.100 /  7. 85.100
  libswscale      5.  7.100 /  5.  7.100
  libswresample   3.  7.100 /  3.  7.100
  libpostproc    55.  7.100 / 55.  7.100
Input #0, image2, from 'data/123.jpg':
  Duration: 00:00:00.04, start: 0.000000, bitrate: 170762 kb/s
    Stream #0:0: Video: mjpeg (Progressive), yuvj444p(pc, bt470bg/unknown/unknown), 1920x1080, 25 tbr, 25 tbn, 25 tbc
Stream mapping:
  Stream #0:0 -> #0:0 (mjpeg (native) -> mjpeg (native))
Press [q] to stop, [?] for help
[swscaler @ 000001d3c41b6c00] deprecated pixel format used, make sure you did set range correctly
Output #0, image2, to 'data/709ad7cc5a8a11ec82c82c4d54eea02b.jpg':
  Metadata:
    encoder         : Lavf58.45.100
    Stream #0:0: Video: mjpeg, yuvj444p(pc), 1280x720, q=2-31, 200 kb/s, 25 fps, 25 tbn, 25 tbc
    Metadata:
      encoder         : Lavc58.91.100 mjpeg
    Side data:
      cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A
frame=    1 fps=0.0 q=7.8 Lsize=N/A time=00:00:00.04 bitrate=N/A speed=0.28x    
video:106kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
data/709ad7cc5a8a11ec82c82c4d54eea02b.jpg

效果图片：

OK，没什么问题。

总结 

没啥好总结的。

分享：

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                                                                                                                      ——《肖申克的救赎》

如果本文对你有作用的话，请点个赞吧，谢谢！

在一些网上报名的时候，经常会遇到上传1寸图片，但是图片大小往往有限制，于是想用Python来实现让图片符合大小。

关于Pillow与PIL 可参考：https://blog.csdn.net/dcz1994/article/details/71642979

提供一个Pillow快速下载的链接：https://www.lfd.uci.edu/~gohlke/pythonlibs/#pillow

# coding=utf-8
from PIL import Image
import glob,os

#处理图片大小信息为kb
def get_FileSize(picture):
    f1 = os.path.getsize(picture)
    f2 = f1/float(1024)
    return f2

#按比例减小分辨率
def small(SIZE):
    SIZE *= 0.99
    return SIZE

a=float(input("图片大小限制kb："))

#处理过程
for infile in glob.glob('*.jpg'):
    file,ext = os.path.splitext(infile)
    im = Image.open(infile)
    
#获取图片像素
    b = get_FileSize(infile)
    size = im.size
    size1,size2 =size
    
#循环至达到要求
    while b>a:
        size1,size2 = small(size1),small(size2)
        size = size1,size2
        im.thumbnail(size,Image.ANTIALIAS)
        im.save(file+'add.jpg','jpeg')
        b=get_FileSize(file+'add.jpg')

访问百度查看了百度图片地址https://www.baidu.com/img/PCtm_d9c8750bed0b3c7d089fa7d55720d6cf.png

查看分辨率为540*258

随便修改为750*500

直接上代码

import urllib.request
from PIL import Image

# 爬取百度图片
imgdata = urllib.request.urlopen('https://www.baidu.com/img/PCtm_d9c8750bed0b3c7d089fa7d55720d6cf.png').read()
# 保存本地路径
path = r'E:\MK\ceshi\baidu.png'
with open(path, 'wb') as f:
    f.write(imgdata)
    
# 打开图片封装对象
im = Image.open(path)
# 修改分辨率随意设置
resized_image = im.resize((750, 500), Image.ANTIALIAS)
path_test = r'E:\MK\ceshi\baidu750.png'
# 保存本地
resized_image.save(path_test)


需要安装的库PIL
pip安装  pip install pillow