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hongsukchoi avatar hongsukchoi commented on June 8, 2024

Hi, it’s a good point.

Actually I don’t do any augmentation to train Pose2Mesh. Only do flip augmentation for training PoseNet. So there’s no aug code for mesh_cam.

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Shubhendu-Jena avatar Shubhendu-Jena commented on June 8, 2024

Ah, got it! However, for the "Joint coordinate loss", the joints are regressed from the mesh. So, if the mesh isn't augmented, wouldn't it result in the wrong joints being regressed and used for computing the "Joint coordinate loss"? (line 131 Pose2Mesh_RELEASE/lib/core/base.py)

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hongsukchoi avatar hongsukchoi commented on June 8, 2024

Good! The flip aug is only done in pre-training PoseNet. When training Pose2Mesh in an end-to-end manner, there is no augmentation. So the joints are also never flipped.

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Shubhendu-Jena avatar Shubhendu-Jena commented on June 8, 2024

I see. Was this done on purpose? Does it result in better convergence?

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hongsukchoi avatar hongsukchoi commented on June 8, 2024

Yes, the model gave the best accuracy without augmentation. But you can try the augmentation referring to the dataloader codes in https://github.com/mks0601/I2L-MeshNet_RELEASE.

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Shubhendu-Jena avatar Shubhendu-Jena commented on June 8, 2024

Ah, okay. Thanks a lot for the responses. They helped me a lot in understanding your work better. I'll take a look at https://github.com/mks0601/I2L-MeshNet_RELEASE to try the augmentation :) Closing issue now.

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