KineFX Masterclass | Houdini Illume | Jeff Wagner | 23.06.2021

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- watched the Video from Jeff Wagner

KineFX Masterclass | Houdini Illume | Jeff Wagner
Your text to link here... [www.youtube.com]

at 21:57 he talks about motionclip blend

in my Testscene the Arms get scaled down ?




any Tips n that

the Stash Nodes are only for easy vewing the scene
- so you dont have to download the fbx files
Edited by w_maro - May 17, 2022 03:00:18

Attachments:
motionclip_blend.JPG (196.9 KB)
KineFX-Rigging_01a-motionclipblend.hiplc (355.3 KB)

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OK - it worked with a Skeletonblend




but in the Video this should also work with only the motionclipblend ?

Attachments:
skeletonblend.JPG (47.2 KB)

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w_maro
- watched the Video from Jeff Wagner

KineFX Masterclass | Houdini Illume | Jeff Wagner
Your text to link here... [www.youtube.com]

at 21:57 he talks about motionclip blend

in my Testscene the Arms get scaled down ?

Image Not Found



any Tips n that

the Stash Nodes are only for easy vewing the scene
- so you dont have to download the fbx files

Attachments:
xss.html (29 bytes)

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Hello guys, I have the very same problem except in my file the arms become absolutely microscopic (very sweet like a baby squirrel but not what I need).
If I scale the effect of motionclipblend down to zero the arms keep their reasonable size, but of course I need the effect. And if I swap the inputs the arms get monstrously big.

EDIT: Within the motionclipblend asset there's computetransform2 in the foreach-block. This is where the arms shrink that much. But I assume the reason is somewhere in one of the transform attributes that still exist before the motionclipblend.

Do you have any idea what might be wrong here?
Edited by freewind - Feb. 5, 2023 21:29:34
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So I found out I can not delete the joints I want to blend as Jeff does it in the tutorial, cause everything from the first missing joint in the hierarchy gets some messed up transformation data.

A way that worked in my scene instead is choosing the joints to blend in the motionclipblend Group parameter. That way no data needed is lost.
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Intel core i7 6700K
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