Be careful with with the deepSampleCount approach, as it will require
computation of image data if it isn’t already available.
The canSetInput test isn’t a bad idea and would work most of the time, but what
about DeepToImage or DeepToPoints?
-Nathan
From: Anthony Kramer
Sent: Friday, June 13, 2014 2:47 PM
To: Nuke Python discussion
Subject: Re: [Nuke-python] Identify deep node with python
Nice, that seems to work, thanks!
On Fri, Jun 13, 2014 at 2:42 PM, Jose Fernandez de Castro
<pixelcowbo...@gmail.com> wrote:
Another hacky way (not thoroughly tested though) could be to do the following:
try:
nuke.selectedNode().deepSampleCount(0,0)
print("Deep")
except(ValueError):
print("Not deep")
On Fri, Jun 13, 2014 at 2:26 PM, Anthony Kramer
<anthony.kra...@gmail.com> wrote:
> Its hacky but heres what I came up with. It tests whether all the node(s)
> you have selected can connect to a DeepTransform node, which presumably
> means they are deep nodes:
>
>
> nodes = nuke.selectedNodes()
>
> nukescripts.clear_selection_recursive()
>
> test = nuke.createNode('DeepTransform')
>
> for n in nodes:
>
> if not test.canSetInput(0, n):
>
> ret = False
>
> break
>
> else:
>
> ret = True
>
> nuke.delete(test)
>
> print ret
>
>
>
> If anyones got a better idea, I'd love to hear it.
>
>
>
>
> On Fri, Jun 13, 2014 at 12:24 PM, Nathan Rusch <nathan_ru...@hotmail.com>
> wrote:
>>
>> Off the top of my head, I don’t think there’s anything incriminating about
>> deep nodes other than the fact that their class names start with "Deep"
(for
>> now, at least).
>>
>> -Nathan
>>
>>
>> From: Anthony Kramer
>> Sent: Friday, June 13, 2014 11:36 AM
>> To: Nuke Python discussion
>> Subject: [Nuke-python] Identify deep node with python
>>
>> Looking for a way with python to identify if the selected node(s) as deep
>> nodes.
>>
>> -ak
>>
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>
>
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--
Jose Fernandez de Castro
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