On 12/02/14 13:41, Nikos Alexandris wrote:
Salut GRASSers,
Moritz Lennert wrote:
[..]
With all the elements in place, especially with Pietro's recent work, it
should be quite easy to create a unifying module 'i.segment.classify'
which would take as input
- the segments coming out of i.segmen
Hi,
2014-02-12 13:41 GMT+01:00 Nikos Alexandris :
[...]
> think of simply using "r.statistics2" and providing an input "cover=" map
btw, it remembers me that we haven't yet decided about renaming
`r.statistics2` and `r.statistics3` to any reasonable name...
Martin
--
Martin Landa * http:
Salut GRASSers,
Moritz Lennert wrote:
[..]
> With all the elements in place, especially with Pietro's recent work, it
> should be quite easy to create a unifying module 'i.segment.classify'
> which would take as input
>
> - the segments coming out of i.segment
> - training zones
> - a choice of
On 28/01/14 14:47, Martin Landa wrote:
Hi Moritz,
2013-10-30 Moritz Lennert :
though some components would be nice to have in addition. Attached you can
find a simple shell script which shows all the steps I went through. I
commented it extensively, so it hopefully is easy to understand.
I j
Hi Moritz,
2013-10-30 Moritz Lennert :
> though some components would be nice to have in addition. Attached you can
> find a simple shell script which shows all the steps I went through. I
> commented it extensively, so it hopefully is easy to understand.
I just wanted to thank you for the scrip
Dear Moritz,
On Thu, Jan 9, 2014 at 10:13 AM, Moritz Lennert
wrote:
>> 3. v.stats [r58637] => Extract statistics from a vector map
>> (statistics about shape and about raster maps).
>> v.stats internally use (in grass-addons):
>> - v.area.stats [r58636] => extract so
Dear Pietro,
On 07/01/14 18:33, Pietro Zambelli wrote:
Dear all,
Some news about the machine learning classification of image segments.
Thanks for the great work !!!
Just a few questions/comments:
3. v.stats [r58637] => Extract statistics from a vector map
(statistics about sh
Dear all,
Some news about the machine learning classification of image segments.
The process described below has been used to classify some RGB images
for two different regions with more than 1 billions of pixels, and more
than 2.7 millions of segments.
Working with such challenging figures re
On Thu, Oct 31, 2013 at 3:03 PM, Luca Delucchi wrote:
>> [0] https://github.com/zarch/i.segment.hierarchical
>
> Could I suggest you to use the grass-addons repository ;-)
Ok, moved (i.segment.hierarchical) to grass-addons (r58137).
Pietro
___
grass-de
On 31 October 2013 00:34, Pietro Zambelli wrote:
> Hi Moritz,
>
>
Hi Pietro
>
>
> [0] https://github.com/zarch/i.segment.hierarchical
>
Could I suggest you to use the grass-addons repository ;-)
Thanks
--
ciao
Luca
http://gis.cri.fmach.it/delucchi/
www.lucadelu.org
On Thursday 31 Oct 2013 10:09:20 Moritz Lennert wrote:
> Great ! Then I won't continue on that and rather wait for your stuff. Do
> you have code, yet (except for i.segment.hierarchical) ? Don't hesitate
> to publish early.
I did some stuff here: https://github.com/zarch/ml.class
But I'm working
On 30/10/13 21:23, Pierre Roudier wrote:
Moritz,
Thanks heaps for the script. It's really is useful and will facilitate
the adoption of i.segment. It certainly would be a nice addition to
the wiki page.
I can put it there as a proof-of-concept, but apparently Pietro is
alreay much further on
Hi Pietro,
On 31/10/13 00:34, Pietro Zambelli wrote:
Hi Moritz,
I'm writing some modules (in python) to basically do the same thing.
Great ! Then I won't continue on that and rather wait for your stuff. Do
you have code, yet (except for i.segment.hierarchical) ? Don't hesitate
to publish ea
Hi Moritz,
I'm writing some modules (in python) to basically do the same thing.
I'm trying to apply a Object-based classification for a quite big area (the
region is more than 14 billions of cells).
At the moment I'm working with a smaller area with "only" ~1 billions of
cells, but it is stil
Moritz,
Thanks heaps for the script. It's really is useful and will facilitate
the adoption of i.segment. It certainly would be a nice addition to
the wiki page.
Unfortunately I can't comment too much on this, as my object-based
classification projects are on hold, but I'll try to give that a sho
15 matches
Mail list logo
