You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am capturing a dataset consisting of multiple camera videos. I want to get the flame parameters for each camera separately and that is why i am running this code on each video separately, and the model provides good results when it uses the pytorch3d's PerspectiveCameras to generate the initial R and T and then optimize it over the training process. I tried changing the code to accept the R and T and also the principal point and focal length from the already calibrated cameras and remove optimization for R and T since it is known and fixed, But the output is not as expected: there are a lot of differences and also in some of the frames the flame mesh is not even completely formed.
Could you tell me how I can include the camera parameters in the training phase
If there is a way to use the pytorch3d's perspective cameras to generate the flame parameters and then rotate the mesh based on the pre-calibrated R and T. (I tried this approach but the flame mesh does not align with the face from original video)
Thanks in advance.
With Regards,
Vippin
The text was updated successfully, but these errors were encountered:
Hello Zielon,
I am capturing a dataset consisting of multiple camera videos. I want to get the flame parameters for each camera separately and that is why i am running this code on each video separately, and the model provides good results when it uses the pytorch3d's
PerspectiveCameras
to generate the initial R and T and then optimize it over the training process. I tried changing the code to accept the R and T and also the principal point and focal length from the already calibrated cameras and remove optimization for R and T since it is known and fixed, But the output is not as expected: there are a lot of differences and also in some of the frames the flame mesh is not even completely formed.Thanks in advance.
With Regards,
Vippin
The text was updated successfully, but these errors were encountered: