What behavior is unexpected? For the (256, 256) images, matplotlib applies
its default colormap to the grayscale (v1.5 and previous, that is jet,
+v2.0, that will be viridis). The numpy array as loaded from PIL will never
carry any additional information that came from the TIFF.
As for PIL, it will return an RGB[A] array if there is colormap data in the
TIFF. If there is no colormap specified in the TIFF, it'll give you a
simple 2D array. Now, maybe you'd like it to always return an RGB[A] array,
but without a colormap in the TIFF, it makes sense to return the data
as-is. This makes sense for people treating the TIFF as a data format
rather than a visualization data format.
Ben Root
On Fri, Apr 29, 2016 at 12:47 PM, Henrique Almeida <hdante.l...@gmail.com>
wrote:
> I think in any case, the result is unexpected, PIL is loading garbage
> from memory when loading black and white images because it sends the
> wrong buffer size, and matplotlib correctly loads the black and white
> image, but stores it in a 3D array.
>
> 2016-04-29 13:43 GMT-03:00 Henrique Almeida <hdante.l...@gmail.com>:
> > For 1 bit images, the resulting array has shape (256, 256, 4). For
> > grayscale images, the shape is (256, 256). So the image seems to have
> > been loaded as a color image.
> >
> > 2016-04-29 13:38 GMT-03:00 Benjamin Root <ben.v.r...@gmail.com>:
> >> What kind of array is "img"? What is its dtype and shape?
> >>
> >> plt.imshow() will use the default colormap for matplotlib if the given
> array
> >> is just 2D. But if it is 3D (a 2D array of RGB[A] channels), then it
> will
> >> forego the colormap and utilize that for the colors. It knows nothing
> of the
> >> colormap contained in the TIFF.
> >>
> >> Ben Root
> >>
> >>
> >> On Fri, Apr 29, 2016 at 12:31 PM, Henrique Almeida <
> hdante.l...@gmail.com>
> >> wrote:
> >>>
> >>> Paul, yes, imread() worked for reading the black and white TIFF. The
> >>> situation improved, but now, there seems to be some problem with the
> >>> color map. Example code:
> >>>
> >>> #!/usr/bin/env python3
> >>> import numpy
> >>> from matplotlib import pyplot, cm
> >>>
> >>> img = pyplot.imread('oi-00.tiff')
> >>> pyplot.imshow(img)
> >>> pyplot.colorbar()
> >>> pyplot.show()
> >>>
> >>> The code can open both 1-bit and 8-bit images, but only with 8 bits
> >>> the image is shown with the colormap colors. The 1 bit image is shown
> >>> as black and white.
> >>>
> >>> The questions:
> >>> 1) Should Image.open() behave like pyplot.imread() ? Is this a bug in
> PIL
> >>> ?
> >>> 2) Why isn't the colormap working with black and white images ?
> >>>
> >>> 2016-04-29 13:06 GMT-03:00 Paul Hobson <pmhob...@gmail.com>:
> >>> > Does using pyplot.imgread work?
> >>> >
> >>> > On Fri, Apr 29, 2016 at 8:27 AM, Henrique Almeida
> >>> > <hdante.l...@gmail.com>
> >>> > wrote:
> >>> >>
> >>> >> Any help with this problem ?
> >>> >>
> >>> >> 2016-04-27 11:35 GMT-03:00 Henrique Almeida <hdante.l...@gmail.com
> >:
> >>> >> > Hello, what's the current status on numpy for loading bit-arrays
> ?
> >>> >> >
> >>> >> > I'm currently unable to correctly load black and white (1-bit)
> TIFF
> >>> >> > images. Code example follows:
> >>> >> >
> >>> >> > from PIL import Image
> >>> >> > import numpy
> >>> >> > from matplotlib import pyplot
> >>> >> >
> >>> >> > img = Image.open('oi-00.tiff')
> >>> >> > a = numpy.array(img)
> >>> >> >
> >>> >> > ^ does not work for 1-bit TIFF images
> >>> >> >
> >>> >> > PIL source shows that it incorrectly uses typestr == '|b1'. I
> tried
> >>> >> > to
> >>> >> > change this to '|t1', but I get :
> >>> >> >
> >>> >> > TypeError: data type "|t1" not understood
> >>> >> >
> >>> >> > My goal is to make the above code to work for black and white TIFF
> >>> >> > images the same way it works for grayscale images. Any help ?
> >>> >> _______________________________________________
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> >>> >
> >>> >
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