Hey Thomas !

I always put that stuff in arrays. 
There are many ways to achieve that.
And then it's nice to shift and interpolate ....

Greetings from HH

Chris

-- 
christian keller
visual effects|direction

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gesendet von meinem iDing

Am 17.04.2012 um 16:48 schrieb Alan Fregtman <[email protected]>:

> It may not be the effect you're after, but here's a crude non-ICE approach 
> with an expression offsetting the original fcurve in X using noise:
> 
> <bghfdccj.png>
> 
> 
> On 4/17/2012 10:14 AM, Alan Fregtman wrote:
>> 
>> You can't query data at random frames, so unless you made your animated data 
>> into an array, you can't offset in X (time), only in Y (value). (Not with 
>> ICE, anyway.)
>> 
>> With 2013's new SDK enhancements you could at least easily write the array 
>> via scripting... but I think that's overcomplicated for what you seek.
>> 
>> 
>> On 4/17/2012 9:49 AM, Thomas Volkmann wrote:
>>> 
>>> But this only gives a variation of the intensity, not of the timing. I 
>>> ended up doing it as I always do it...I really should start setting up 
>>> custom compounds for stuff I do again and again.
>>> Thanks!
>>> 
>>> Alan Fregtman <[email protected]> hat am 17. April 2012 um 15:36 
>>> geschrieben: 
>>> 
>>> How about plugging that animated Scalar node's output into a Multiply 
>>> node's first input, then on its second input you plug either a Turbulize 
>>> Around Value or a Randomize Around Value, where either's "base value" is 
>>> set to 1. That should do it. 
>>> 
>>> On 4/17/2012 4:02 AM, Thomas Volkmann wrote:
>>> Good morning List,
>>> 
>>> maybe it's just too early, but I have a scalar-node with animation on it 
>>> (that is supposed to drive scaling) and I want it to offset to get some 
>>> variation. Is this possible in this easy way, or do I have to give each 
>>> point a triggerAtFrame-attribute, compare to current frame and use a new 
>>> state (or similar using an if-node).
>>> How do you do this normally? (I do it with if-nodes, current-frame compared 
>>> to triggerFrame and rescaling usually, but my mind is so slow this morning 
>>> that I am longing for a quick one-node solution)
>>> 
>>> Thanks,
>>> Thomas
>>> 
>>>  
>> 
> 

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