Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Training Kit-ML encountered dimension mismatch problem #82

Open
lixiang927047 opened this issue Feb 25, 2024 · 1 comment
Open

Training Kit-ML encountered dimension mismatch problem #82

lixiang927047 opened this issue Feb 25, 2024 · 1 comment

Comments

@lixiang927047
Copy link

lixiang927047 commented Feb 25, 2024

@ChenFengYe I want to use the framework of MotionGPT to train Kit-ML, but I have encountered a lot of dimensional incompatibility problems, most of which are due to the fact that the data set is only 251 dimensional and the network is set to 263 dimensional (probably because the number of summary joints in the Kit-ML data set is 21). The number of joints for HumanML3D is 22). What do I need to do with the Kit-ML data set before training? Or do different Settings in the training script?
image

@billl-jiang
Copy link
Collaborator

Hello,

For training Kit-ML with MotionGPT and addressing the dimension mismatch issue, you simply need to update the configuration.

DATASET:
target: mGPT.data.HumanML3D.HumanML3DDataModule

Change mGPT.data.HumanML3D.HumanML3DDataModule to mGPT.data.Kit.KitDataModule in the config file. This should align the dimensions by adapting to the Kit dataset's structure.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants