Juan and I are going to run a "big image" sprint at SciPy Japan next week
(Nov 1-2, 9am-5pm Tokyo time). Anyone who wants to join the sprint (even
asynchronously) is welcome to join!
There's a hackmd here with some more details about topics people might like
to sprint on: https://hackmd.io/qpiRFdIsTdCAfdr_C2mMUA
- Genevieve
Dear all,
The next developers' meeting for scikit-image will take place next
Thursday (October 29th) at 11am CEST (Paris time). All developers are
welcome to attend the meeting.
This meeting will focus again on the preparation of the 0.18
release. Other agenda items can be found at:
https://hackmd.io/r5oMbIyvQH2K0mhgntAW2g
We will use Zoom (https://monash.zoom.us/j/284282585).
Best,
Marianne
I have 3 3D numpy arrays of shape 600 x 600 x 200 representing the X, Y, Z
directions. The arrays contain dip azimuth, dip magnitude, and edge
magnitude calculated from a geophysical dataset.
I would like to stack them into a 4D array of shape 600x600x600x3 where
azimuth is Hue, dip is Saturation, and edge is Value.
*Question*: Would color skimage.color.hsv2rg take this 4D array as input
and convert it to RGB?
My goal is to then split the 3 R,G,B arrays and load them into a commercial
software where I can visualize them using RGB blending?
Thanks,
Matteo
Matteo Niccoli
P. Geo., M.sc.
Geophysics and data science
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Hi.
I am pretty much a beginner in Python and scikit-image.
Thank you for all the great resources!
I am using sci-kit image for a hobby project involving images of medieval
illuminated manuscripts.
Here is my question:
How do I save images like I see -- in many of your examples, in matplotlib?
For example:
1. The last image of colored, segmented coins in
https://scikit-image.org/docs/stable/auto_examples/applications/plot_coins_…
2. Or the three results in
https://scikit-image.org/docs/dev/auto_examples/segmentation/plot_marked_wa…
3. Or even the three results in
https://scikit-image.org/docs/stable/auto_examples/filters/plot_hysteresis.…
.
I have some test scripts that successfully save using skimage.io.imsave.
But the results like in the examples above don't save the color; and/or the
results are very dark (like mostly or all black-looking). I also get a lot
of warnings about lossy-ness.
I've tried a number of things, including matplot's saving methods. But the
results are still what I've described.
Any help on this would be super-appreciated!
Sincerely,
Scott
PS I can also save what I see pop up when running a script, hitting the
disk symbol and saving. But as you probably know, the results not only have
the axes and words and such, but they also are very small and poor
resolution (though I'm not confident "resolution" is the right term).