Open dogyoonlee opened 2 years ago
Hi Dogyoon.
If it's not training well there might be a bug in how the rays are generated in your code. I'd create a simple notebook and see if the generated rays are consistent between the JAX version and your PyTorch version.
You could also work around it by pre-undistorting the datasets with COLMAP and set the distortion to zero, but you'd have to write some code to load in the cameras from the other formats.
Hello!
I really appreciate to your great work!!
However, I have some questions about camera coordinate on nerfies dataset you released.
I want to use the NeRF code which is implemented on pytorch framework and it provide llff dataset dataloader.
As I know, llff dataset uses camera poses which are saved as format of
[-u, r, -t]
and they load the saved poses and rotate them to
[r, u, -t]
following codes.Since I want to use your dataset(Nerfies) and directory format, I loaded saved poses in
camera
directories.As I know, you uses opencv camera model whose coordinate axis is
[r, -u, t]
So I rotate poses after load the saved poses of your dataset following codes to convert the pose as llff dataset format
[-u, r, -t]
(I loaded poses and create poses matrix whose shape is 3 x 5 x frame_number, and 3x5 poses matrix consisting of 3x4 pose matrix and 3x1 Height, Width, focal length as llff format)Finally, I generate rays to train our network with
undistortion
process which you given in nerfies code and I think it works.but training didn't work well.
I think the reason is that loaded camera poses are wrong because network was trained well when I use broom dataset which is provided as llff format by NSFF author's github(but they don't provide validation dataset. only training data is provided)
I really wonder what is the problem when load the cameras.
Is the saved camera coordinate system
[r, -u, t]
correct?If it is correct, then what should I do additionally to get correct camera pose?
I also applied scene_scale, scene_center, principal_points, undistortions as you did in nerfies code.
It will be really helpful if you give answer about the questions!
Thank you.