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Thanks to your shareing! I see the defined joint angle limit,but cant find where you use the joint angle limit.could you share how to use it?
The text was updated successfully, but these errors were encountered:
The joint angle limit self.alim_ was used during the training of the network to regularize the joint angle parameter (alpha)
where L and U are the lower and upper bound of the limit respectively.
For example:
def compute_ang_limit(self, ang): # ReLU(x)=max(0,x) min_ = self.ReLU(self.alim_[:,0]-ang) max_ = self.ReLU(ang-self.alim_[:,1]) return torch.sum(min_) + torch.sum(max_)
Sorry, something went wrong.
The joint angle limit self.alim_ was used during the training of the network to regularize the joint angle parameter (alpha) where L and U are the lower and upper bound of the limit respectively. For example: def compute_ang_limit(self, ang): # ReLU(x)=max(0,x) min_ = self.ReLU(self.alim_[:,0]-ang) max_ = self.ReLU(ang-self.alim_[:,1]) return torch.sum(min_) + torch.sum(max_)
Thank you!! Your change from pca to Dof is a excellent idea!now mano model is easier to use.
umm, I try to use optimization based method to estimate 3D hand pose on the dof model,how do you about it?
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Thanks to your shareing!
I see the defined joint angle limit,but cant find where you use the joint angle limit.could you share how to use it?
The text was updated successfully, but these errors were encountered: