Somewhere... But where is it?
NumPy, SciPy, Matplotlib, Cython or ipython?
I am suspecting ipython, but proving it is hard...
http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/12464039/lenna-...
Sturla
It is Friday evening here... I must be really dense. What bug are we looking at? Is this another white-gold vs. blue-black dress color thing?
Ben Root
On Fri, Feb 27, 2015 at 5:33 PM, Sturla Molden sturla.molden@gmail.com wrote:
Somewhere... But where is it?
NumPy, SciPy, Matplotlib, Cython or ipython?
I am suspecting ipython, but proving it is hard...
http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/12464039/lenna-...
Sturla
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
oh... I think I see what you are referring to. The second image should have the regular lenna image, not the negative?
Ben Root
On Fri, Feb 27, 2015 at 5:39 PM, Benjamin Root ben.root@ou.edu wrote:
It is Friday evening here... I must be really dense. What bug are we looking at? Is this another white-gold vs. blue-black dress color thing?
Ben Root
On Fri, Feb 27, 2015 at 5:33 PM, Sturla Molden sturla.molden@gmail.com wrote:
Somewhere... But where is it?
NumPy, SciPy, Matplotlib, Cython or ipython?
I am suspecting ipython, but proving it is hard...
http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/12464039/lenna-...
Sturla
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
On 27/02/15 23:40, Benjamin Root wrote:
oh... I think I see what you are referring to. The second image should have the regular lenna image, not the negative?
Yeah. The ndarray references are getting messed up. It is actually quite serious.
Sturla
Ben Root
On Fri, Feb 27, 2015 at 5:39 PM, Benjamin Root <ben.root@ou.edu mailto:ben.root@ou.edu> wrote:
It is Friday evening here... I must be really dense. What bug are we looking at? Is this another white-gold vs. blue-black dress color thing? Ben Root On Fri, Feb 27, 2015 at 5:33 PM, Sturla Molden <sturla.molden@gmail.com <mailto:sturla.molden@gmail.com>> wrote: Somewhere... But where is it? NumPy, SciPy, Matplotlib, Cython or ipython? I am suspecting ipython, but proving it is hard... http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/12464039/lenna-bug.ipynb Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org <mailto:NumPy-Discussion@scipy.org> http://mail.scipy.org/mailman/listinfo/numpy-discussion
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
On 27/02/15 23:39, Benjamin Root wrote:
Is this another white-gold vs. blue-black dress color thing?
No. It is what you said in you next post.
I hate that dress image. The first time I looked at it it was white and gold, then it became blue and black, and the third time it was grayish blue and bronze. I'm not going to look at it again, it might have exploit code to plant malware in my brain.
Sturla
Ben Root
On Fri, Feb 27, 2015 at 5:33 PM, Sturla Molden <sturla.molden@gmail.com mailto:sturla.molden@gmail.com> wrote:
Somewhere... But where is it? NumPy, SciPy, Matplotlib, Cython or ipython? I am suspecting ipython, but proving it is hard... http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/12464039/lenna-bug.ipynb Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org <mailto:NumPy-Discussion@scipy.org> http://mail.scipy.org/mailman/listinfo/numpy-discussion
NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
On Fri, Feb 27, 2015 at 10:33 PM, Sturla Molden sturla.molden@gmail.com wrote:
Somewhere... But where is it?
NumPy, SciPy, Matplotlib, Cython or ipython?
I am suspecting ipython, but proving it is hard...
http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/12464039/lenna-...
When plt.imshow() is given floating point RGB images, it assumes that each channel is normalized to 1. You are mixing a 0..255 image with a 0..1 image. Divide `lenna` by 255.0 before you stack it with `_dct`. Or multiply `_dct` by 255 and cast it to uint8.
-- Robert Kern
On 28/02/15 00:04, Robert Kern wrote:
When plt.imshow() is given floating point RGB images, it assumes that each channel is normalized to 1. You are mixing a 0..255 image with a 0..1 image. Divide `lenna` by 255.0 before you stack it with `_dct`. Or multiply `_dct` by 255 and cast it to uint8.
Right. Thanks.
Since it's past midnight this probably means I should not touch the computer until my brain has rebooted.
participants (3)
-
Benjamin Root -
Robert Kern -
Sturla Molden