Open MingCongSu opened 8 months ago
Hi, what is the size of this data matrix? Sometimes, it can be caused by different versions of numpy or scipy libraries.
On Tue, 16 Jan 2024 at 03:06, MingCongSu @.***> wrote:
When I run cal_mean_variance.ipynb, one of the data (007975.npy) and its mirror version (M007975.npy) contain much NaN value, which leads to a tiny double-check difference in double-check steps.
Execution result of cal_mean_variance.ipynb: image.png (view on web) https://github.com/EricGuo5513/HumanML3D/assets/113020932/f5c3ae03-8b92-4c10-b70a-9d4327f1e095
HumanML3D\new_joints\007975.npy is like: image.png (view on web) https://github.com/EricGuo5513/HumanML3D/assets/113020932/c2719712-1a11-4980-97c3-683ad1b4b7c3
Is this okay or did I do something wrong?
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Hi @EricGuo5513, thanks for replying to me.
The shape of this data matrix (HumanML3D\new_joint_vecs\007975.npy
) is (84, 263)
.
In my environment, the versions of numpy==1.21.6 and scipy==1.7.3 .
I saw the numpy version used for creating this dataset is 1.18.5. Not sure if this makes big difference. Please email me at cguo2@ualberta.ca if this does not work.
I reinstalled the numpy==1.18.5
but the result is the same.
I checked the result before running motion_representation.ipynb
and producing new_joint_vecs
and new_joints
, which is the npy in /joints
, but it seems normal?
007975.npy | M007975.npy |
---|---|
7975
Hi. Did you solve the issue? I also got nan
for 007975.npy
data.
7975
Hi. Did you solve the issue? I also got
nan
for007975.npy
data.
Hi, I just skipped this data.
When I run
cal_mean_variance.ipynb
, one of the data (007975.npy
) and its mirror version (M007975.npy
) contain much NaN value, which leads to a tiny double-check difference in double-check steps.Execution result of
cal_mean_variance.ipynb
:HumanML3D\new_joint_vecs\007975.npy
is like:Is this okay or did I do something wrong?