直接打开/加载图像为 numpy ndarray [英] Open / load image as numpy ndarray directly

问题描述

我曾经使用 scipy，它会将文件中的图像直接加载到 ndarray 中.

I used to use scipy which would load an image from file straight into an ndarray.

from scipy import misc
img = misc.imread('./myimage.jpg')
type(img)
>>> numpy.ndarray

但现在它给了我一个 DeprecationWarning 和 文档说它将在 1.2.0 中删除. 我应该使用 imageio.imread 代替.但是:

But now it gives me a DeprecationWarning and the docs say it will be removed in 1.2.0. and I should use imageio.imread instead. But:

import imageio
img = imageio.imread('./myimage.jpg')
type(img)
>>> imageio.core.util.Image

我可以通过这样做来转换它

I could convert it by doing

img = numpy.array(img)

但这似乎很糟糕.有没有什么方法可以像我之前使用 scipy 的 misc.imread(除了使用 OpenCV)那样将图像直接加载到 numpy 数组中?

But this seems hacky. Is there any way to load an image straight into a numpy array as I was doing before with scipy's misc.imread (other than using OpenCV)?

推荐答案

imageio.imread的结果已经是一个NumPy数组；imageio.core.util.Image 是一个 ndarray 子类，主要存在以便数组可以具有保存图像元数据的 meta 属性.

The result of imageio.imread is already a NumPy array; imageio.core.util.Image is an ndarray subclass that exists primarily so the array can have a meta attribute holding image metadata.

如果你想要一个完全numpy.ndarray类型的对象，你可以使用asarray:

If you want an object of type exactly numpy.ndarray, you can use asarray:

array = numpy.asarray(img)

与numpy.array(img)不同，这不会复制img的数据.

Unlike numpy.array(img), this will not copy img's data.

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