Python3 使用pli优化图片大小，相机或手机拍图片根据exif旋转、纠正方向

首先安装

pip install pillow

如果报错，请根据报错的信息去搜索一下，一般都能得到解决，未找到请升级pip

python -m pip install --upgrade pip

或者

pip install --upgrade pip

那么写个方法

from PIL import Image,ExifTags

#定义保存图片都路径
def get_outfile(infile, outfile):
  if outfile:
  return outfile
  dir, suffix = os.path.splitext(infile)
  outfile = '{}-cover{}'.format(dir, suffix)
  return outfile
 
#缩小图片大小，保持原始宽高
def compress_image(infile, outfile='', kb=3200, step=5, quality=80):
  o_size = os.path.getsize(infile) / 1024
  if o_size <= kb:
    return False
  outfile = self.get_outfile(infile, outfile)
  while o_size > kb:
    img = Image.open(infile)
    #相机或手机拍摄图片需要根据exif旋转角度
    try:
      for orientation in ExifTags.TAGS.keys():
        if ExifTags.TAGS[orientation] == 'Orientation': break
      exif = dict(img._getexif().items())
      if exif[orientation] == 3:
        img = img.rotate(180, expand=True)
      elif exif[orientation] == 6:
        img = img.rotate(270, expand=True)
      elif exif[orientation] == 8:
        img = img.rotate(90, expand=True)
    except:
      pass
    img.save(outfile, quality=quality)
  if quality - step < 0:
  break
  quality -= step
  o_size = os.path.getsize(outfile) / 1024
  return outfile

compress_image(infile, outfile='', kb=3200, step=5, quality=80)
infile : 原始图片路径
outfile: 生成图片保存路径
kb     : 图片压缩上限，单位kb
step   : 每次压缩质量，
quality: 图片质量，jpg特有，最高为100的质量

使用

small_path = compress_image(image_path)
if not small_path:
small_path = image_path

在某个项目中用到，就记录一下吧～特别是碰到图片上传后改变了方向的，特别郁闷，所以找到了解决方案

img = Image.open(infile)
    #相机或手机拍摄图片需要根据exif旋转角度
    try:
      for orientation in ExifTags.TAGS.keys():
        if ExifTags.TAGS[orientation] == 'Orientation': break
      exif = dict(img._getexif().items())
      if exif[orientation] == 3:
        img = img.rotate(180, expand=True)
      elif exif[orientation] == 6:
        img = img.rotate(270, expand=True)
      elif exif[orientation] == 8:
        img = img.rotate(90, expand=True)
    except:
      pass
    img.save(outfile, quality=100)