tranducanhbk

Hi Mert Atagül! Coulde you show CODE for convert pytorch to ONNX. Many thanks you

Thank you your quick reply. Maybe we have to train with non paralelnize mode. I trained with parallel mode and then load with non parallel to inference the results is...

When i try using your code to convert torch to onnx i got error like below:  But when i using https://github.com/Media-Smart/volksdep it is ok. Do you know why?

I alread install go-1.19-1 but no change 

Now i can import successfully after sudo make uninstall and install. Maybe when i clone new code need to uninstall before install

yes. it work now

How about λwild,θ to caculate smpl parameter loss. Can u tell clearly about it? Many thanks your kindly response

Thank you, You are very kind and i have one more question. This is my regularizer loss function class RegularizeLoss(nn.Module): def __init__(self): super(RegularizeLoss, self).__init__() def forward(self, pose): loss = torch.pow(pose,2)...

I trained with own dataset Format MSCOCO (no face and Hand box) 7 epochs. The convergence of 2D and regularizer is 1.2 and 0.45. I used RotationNet from this link...

I follow your Hand4Whole training setup https://github.com/mks0601/Hand4Whole_RELEASE. https://github.com/mks0601/Hand4Whole_RELEASE/blob/7c3b7fd6ac3e0824210796a2267fe7f8fdc5e968/main/config.py#L50 this is forward code to get 3D Gts predict if cfg.parts == 'body': img_feat = self.forward_backbone(inputs, self.backbone) joint_img = smpl.reduce_joint_set(targets['joint_img']) smpl_root_pose, smpl_body_pose,...