使用PIL时释放内存 | 使用PIL时释放内存

本文介绍了使用PIL时释放内存的处理方法，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小编来一起学习吧！

问题描述

我正在用PIL（Python Imaging Library）编辑图像。在每一步（转换，旋转，调整大小...）都会创建更多图像。（摘自文档：返回图像的副本旋转给定的度数...）所以我想释放内存。

你知道吗是否以下方法节省内存？

  import PIL.Image 
 
 image = PIL.Image.open （'Image.jpg'）
 garbage = image 
 image = image.convert（'RGB'）
 del垃圾

解决方案

您不需要创建临时垃圾引用。

执行此语句的右侧时：

  image = image.convert（'RGB'）

创建一个新的Python对象。

通过将它分配回 image image 用于表示它的引用计数减为零，并发送到垃圾收集器。

然而，与Python的工作方式无关，我见过PIL问题由于真正的bug而造成内存泄漏。例如，这里讨论使用绘图文本时的问题：

我知道这是一个很老的讨论，但我仍然当我使用PIL时，看到有时会出现！

I'm editing an image with PIL (Python Imaging Library). On each step (convert, rotate, resize ...) there are more images created. (An excerpt from the documentation: "Returns a copy of an image rotated the given number of degrees ...") So I want to release memory.

Do you know whether the following approach saves memory?

import PIL.Image

image = PIL.Image.open('Image.jpg')
garbage = image
image = image.convert('RGB')
del garbage

解决方案

You don't need to make the temporary garbage reference.

When the right-hand side of this statement is executed:

image = image.convert('RGB')

a new Python object is created.

By assigning it back to image the old object that image used to represent has its reference count reduced to zero, and is sent to the garbage collector.

However, not related to how Python works, I have seen PIL issues where because of genuine bugs memory leaks have formed. For instance here's a discussion of issues when using Draw text:

PIL Draw Text Memory Leak

I know that's a really old discussion, but I still see that come up sometimes when I use PIL!

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