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I found the first frame in sentence01 of FaceTalk_170725_00137_TA in registereddata is:
[[ 0.04883447 0.01008725 -0.01469336]
[ 0.05236208 0.00897936 -0.01322775]
[ 0.05311589 0.01053391 -0.01269362]
...
[-0.05066473 0.04737104 0.05660217]
[-0.04855442 0.04771237 0.05538856]
[-0.04625392 0.04809992 0.05461453]]
however , the same frame in data_verts is:
[[ 0.06330613 -0.0130609 -0.05464683]
[ 0.06681567 -0.01411122 -0.05312932]
[ 0.0675151 -0.0125118 -0.05253972]
...
[-0.03784862 0.02131454 0.01536897]
[-0.03572937 0.02173329 0.01420005]
[-0.03342807 0.0221916 0.01347607]]
The text was updated successfully, but these errors were encountered:
The data used for training are unposed, meaning that effects of global translation, global rotation, and the head rotation around the neck are removed. Please refer to Section 6 of the VOCA paper for details about this data pre-processing.
I found the first frame in sentence01 of FaceTalk_170725_00137_TA in registereddata is:
[[ 0.04883447 0.01008725 -0.01469336]
[ 0.05236208 0.00897936 -0.01322775]
[ 0.05311589 0.01053391 -0.01269362]
...
[-0.05066473 0.04737104 0.05660217]
[-0.04855442 0.04771237 0.05538856]
[-0.04625392 0.04809992 0.05461453]]
however , the same frame in data_verts is:
[[ 0.06330613 -0.0130609 -0.05464683]
[ 0.06681567 -0.01411122 -0.05312932]
[ 0.0675151 -0.0125118 -0.05253972]
...
[-0.03784862 0.02131454 0.01536897]
[-0.03572937 0.02173329 0.01420005]
[-0.03342807 0.0221916 0.01347607]]
The text was updated successfully, but these errors were encountered: