Closed rd20karim closed 1 year ago
Hi, it is in another project. See https://github.com/EricGuo5513/text-to-motion/blob/8640570682a0d0278b028e9525f385ee61f25ba9/utils/word_vectorizer.py#L46.
Thank you for providing the direct link. I see that five categories were defined, it appears that there are two different datasets - HumanML3D (22 joints) and The generated KiT version (21 joints). I'm interested in knowing if this dictionary categorizes all of the vocabulary found within these datasets.
Yes, for both dataset we use the same dictionary.
On Wed, Jan 25, 2023 at 6:55 AM rd20karim @.***> wrote:
Thank you for providing the direct link. I see that five categories were defined, it appears that there are two different datasets - HumanML3D (22 joints) and The generated KiT version (21 joints). I'm interested in knowing if this dictionary categorizes all of the vocabulary found within these datasets.
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Hello, In the paper it was mentioned that an external dictionary was manually constructed to collect motion-related words and categorize them into four types: direction, body part, object and action
I can't find where it was defined in this project code ?