I'm trying to load an image as grayscale as follows:
from skimage import data
from skimage.viewer import ImageViewer
img = data.imread('my_image.png', as_gray=True)
However, if I check for its shape using img.shape
it turns out to be a three-dimensional, and not two-dimensional, array. What am I doing wrong?
From scikit-image documentation, the signature of data.imread
is as follows:
skimage.data.imread(fname, as_grey=False, plugin=None, flatten=None, **plugin_args)
Your code does not work properly because the keyword argument as_grey
is misspelled (you put as_gray
).
Sample run
In [4]: from skimage import data
In [5]: img_3d = data.imread('my_image.png', as_grey=False)
In [6]: img_3d.dtype
Out[6]: dtype('uint8')
In [7]: img_3d.shape
Out[7]: (256L, 640L, 3L)
In [8]: img_2d = data.imread('my_image.png', as_grey=True)
In [9]: img_2d.dtype
Out[9]: dtype('float64')
In [10]: img_2d.shape
Out[10]: (256L, 640L)
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