PIL图像对象上的Python副本

2023-08-31Python开发问题
8

本文介绍了PIL图像对象上的Python副本的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

我正在尝试创建一组缩略图,每个缩略图都是从原始图像单独缩小的.

I'm trying to create a set of thumbnails, each one separately downscaled from the original image.

image = Image.open(path)
image = image.crop((left, upper, right, lower))
for size in sizes:
  temp = copy.copy(image)
  temp.thumbnail((size, height), Image.ANTIALIAS)
  temp.save('%s%s%s.%s' % (path, name, size, format), quality=95)

上面的代码似乎可以正常工作,但是在测试时我发现一些图像(我不知道它们有什么特别之处,可能只适用于 PNG)会引发此错误:

The above code seemed to work fine but while testing I discovered that some images (I can't tell what's special about them, maybe only for PNG) raise this error:

/usr/local/lib/python2.6/site-packages/PIL/PngImagePlugin.py in read(self=<PIL.PngImagePlugin.PngStream instance>)
line: s = self.fp.read(8)
<type 'exceptions.AttributeError'>: 'NoneType' object has no attribute 'read' 

没有 copy() 这些图像就可以正常工作.

Without the copy() these images work just fine.

我可以为每个缩略图重新打开并裁剪图像,但我希望有一个更好的解决方案.

I could just open and crop the image anew for every thumbnail, but I'd rather have a better solution.

推荐答案

我猜 copy.copy() 不适用于 PIL Image 类.尝试使用 Image.copy() 代替,因为它的存在是有原因的:

I guess copy.copy() does not work for the PIL Image class. Try using Image.copy() instead, since it is there for a reason:

image = Image.open(path)
image = image.crop((left, upper, right, lower))
for size in sizes:
  temp = image.copy()  # <-- Instead of copy.copy(image)
  temp.thumbnail((size, height), Image.ANTIALIAS)
  temp.save('%s%s%s.%s' % (path, name, size, format), quality=95)

这篇关于PIL图像对象上的Python副本的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11