Comments (3)
billl-jiang
commented on May 18, 2024
Hi, @huifu99
Here is the switch for the supervised condition. Currently, we have implemented it in a hardcoded manner, but we will incorporate config item in next version to allow for more flexible configuration.
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huifu99
commented on May 18, 2024
But you mentioned that both supervised and unsupervised manner are used at the Motion-Language Pre-training Stage. Should I change the code here during training?
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ChenFengYe
commented on May 18, 2024
Hi, you should not change this training now. This pre-training is prepared for some specific version of MotionGPT, which will come later. You can wait for our online demo for testing and use SFT for training now. We will inform you once this part is ready. Thanks bro!
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Related Issues (20)
- 'MotionGPT' object has no attribute 'codebook_size' HOT 1
- Interpolation key 'lm.default' not found
- demo.py : error in loading a pre-trained model for the demo
- Error loading Pre-trained flan-t5-base HOT 2
- [Training] Stops with an error : The algorithm failed to converge because the input matrix contained non-finite values. HOT 11
- Coordinate space in which joint rotations were calculated with HybrIKJointsToRotmat
- bash prepare/download_smpl_model.sh Execution error HOT 2
- ValueError: Unknown model type , exiting! (I can't Create SMPL meshes) (Solved) HOT 3
- How to reproduce the motion complete result in the teaser video?
- If I only want to evaluate this motionGPT, do I need to build Humanml3D as well HOT 1
- Motion2Text generation always gives something irrelevant
- Question on m2t-motionGPT evaluation metrics HOT 2
- RuntimeError: The expanded size of the tensor (3) must match the existing size (263) at non-singleton dimension 1. Target sizes: [22, 3]. Tensor sizes: [263] HOT 2
- the demo page gives a runtime error HOT 2
- question about the task
- How can I get the 2d joints from the SMPL mesh nptyfile HOT 1
- How to save the VQVAE's weight separately from the whole model? HOT 1
- Training Kit-ML encountered dimension mismatch problem HOT 1
- size mismatch for main.0.weight HOT 1
- Camera location includes nan values. HOT 2
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