Hi, I'm having trouble understanding the pooling operator. Posting for others to recreate.
My goal to see if it's possible to describe each frame of the animation in tabular (spreadsheet) input format so I can compute it as a ludwig compute. https://ludwig-ai.github.io/ludwig-docs/0.5/
My goal is to identify per bone the pooled limb and the specific bone classification without using text processing.
Given a t-pose skeletal.
May also be a series of animation frames.
May be corrected so that global bone pose forward points up roll correction and must not be all rotation identity.
There's a pooled skeleton
The pooled skeleton bone hips stores global position and rotation as the root motion bone
Offset for the bones in each pooled limb is stored in some way?
Each original bone's rotation is stored?
There's a graph representation connecting each bone to an edge
The representation should store one frame's worth of data.
Hi, I'm having trouble understanding the pooling operator. Posting for others to recreate.
My goal to see if it's possible to describe each frame of the animation in tabular (spreadsheet) input format so I can compute it as a ludwig compute. https://ludwig-ai.github.io/ludwig-docs/0.5/
My goal is to identify per bone the pooled limb and the specific bone classification without using text processing.
References
This training input data solves for the bone classification using text processing. https://github.com/V-Sekai-fire/ML_avatar_wellness/blob/main/ml/train.tsv