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 <pmhobson@gmail.com>:
Does using pyplot.imgread work?
On Fri, Apr 29, 2016 at 8:27 AM, Henrique Almeida <hdante.lnls@gmail.com> wrote:
Any help with this problem ?
2016-04-27 11:35 GMT-03:00 Henrique Almeida <hdante.lnls@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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