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Many thanks to the great work. I have some confusion about how to perform t2m_eval with a new dataset. Specifically, in the _get_t2m_evaluator function, the model requires creating t2m_textencoder, t2m_moveencoder, and t2m_motionencoder, and loading the pretrained t2m_checkpoint for subsequent metric calculations.
Since my new dataset has a different motion feature dimension (nfeats), and I have used a different text_encoder during training, does this mean I cannot load the pretrained T2M checkpoint you provided in Google Drive? Would I need to customize and retrain the T2M model?
If retraining is necessary, would it be possible for you to release the relevant code for T2M training? This part wasn't detailed in the paper, and I am a bit confused. Your clarification would be a great help and I will appreciate it.
The text was updated successfully, but these errors were encountered:
Dear author,
Many thanks to the great work. I have some confusion about how to perform
t2m_eval
with a new dataset. Specifically, in the_get_t2m_evaluator
function, the model requires creatingt2m_textencoder
,t2m_moveencoder
, andt2m_motionencoder
, and loading the pretrained t2m_checkpoint for subsequent metric calculations.Since my new dataset has a different motion feature dimension (
nfeats
), and I have used a differenttext_encoder
during training, does this mean I cannot load the pretrained T2M checkpoint you provided in Google Drive? Would I need to customize and retrain the T2M model?If retraining is necessary, would it be possible for you to release the relevant code for T2M training? This part wasn't detailed in the paper, and I am a bit confused. Your clarification would be a great help and I will appreciate it.
The text was updated successfully, but these errors were encountered: