Example for SMPL parameters about amass HOT 7 OPEN

Hello！ I wonder why there are 16 betas in parameters of smpl-x? I think smpl-x should contains 10 body betas and 10 expression betas.

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if you use the smpl model with the body loader of human body model then it automatically takes care of passing correct parameters; i.e. only using root_orient and pose_body.
let me know if you need further specific code for clarification.

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it is confusing about trying to get the pose and beta for the basic SMPL model. i think the beat[:10] and pose[:63] is good for SMPL, but when i used is for basic SMPL , i can not get good result. there are two Description about SMPL and SMPL-H
: the first is
#3

: another is
https://github.com/vchoutas/smplx/tree/master/transfer_model
The repository contains code for converting model parameters of one model to another. Never copy parameters between the models. You will not get the same poses. SMPL, SMPL+H and SMPL-X shape spaces are NOT compatible, since each model is the result of a different training process. A more detailed explanation on how we extract correspondences between the models and the loss function used to estimate the parameters can be found。

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@nghorbani

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You are right, that is indeed confusing. short answer smpl=smplh != smplx. I will correct the tutorials

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@nghorbani
Thanks for your quick reply!
the pose and beta of ASASS is very good , so i want to use it for trainning other molde based on SMPL ,sush as HMR(https://github.com/akanazawa/hmr)
can we get the right pose and beta by the transfer_model(https://github.com/vchoutas/smplx/tree/master/transfer_model)?

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Hello! There are datasets of smpl-x format avalible on [https://amass.is.tue.mpg.de/download.php], but I find the number of pose parameters is 165 (differs from 156 of smpl-h). I guess the last 9 parameters are pose_jaw and pose_eye in order, but when i use them and the smplx models to visualize the data, the results are very strange which I suppose may contain some errors. Could you please help me about this? Thank you so much!!

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