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From what I understand you can "play" a Kraken character anywhere where Fabric Engine is implemented. You can export a Kraken character as its own KL Extension and export the animation as a Json file.
But to create Kraken characters or manipulate them, yes, a Kraken implementation would be needed on-top of the host application.
I have found that instead of adding an AutoProfilingEvent to every function it is simpler to have it in a PassIn node. I found I need to force the evaluation of the pass in value inside of the DFG for this to work, but this can be easily done calling a trivial and ubiquitous method like .type().
Again, thanks for this tutorial...
Hello guys, I would like to note that along with other relevant changes to this repo I have updated it to work with FE2.4 and its new RotationOrder. If anyone needs the old behavior please check the comments in KL\BVHReader.kl.
In this small video series I outline some problems and data manipulation needs with moCap data in the context of Machine Learning, and try to make the case for how those can be addressed by using Fabric.
I know this is not the Fabric's main target, but I actually find it quite useful in this context.
Sorry for my (at times) confusing presentation
Update: Motion is now rescaled based on height difference between characters. Before this one had to guess a scaleFactor that would minimize footskating. This does not removes footskating altogether, but reduces it.
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