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
Hi, excellent work with this code of NeRF. I have a question, can I use the original dataset of NeRF or my own dataset using generate_nerf_dataset.py to create them?
thx
The text was updated successfully, but these errors were encountered:
Thanks for the kind words. I have a notebook here demonstrating how to use my code to train a tiny NeRF model on the tiny_nerf_data.npz file used by the original NeRF authors in their notebook here. The only differences from my run_tiny_nerf.ipynb notebook are that:
I do not divide data["images"] by 255 because the images have already been normalized to be between zero and one.
I calculate camera_distance from the pose array, i.e., camera_distance = float(np.linalg.norm(data["poses"][0, :3, -1])).
I set t_n, t_f, and N_c to 2.0, 6.0, and 64, respectively, to follow the choices used in the original NeRF authors' notebook above.
For the following test view from the original NeRF authors' notebook:
my notebook generated the following after 14,900 iterations (~45 minutes on a P100 GPU):
Hi, excellent work with this code of NeRF. I have a question, can I use the original dataset of NeRF or my own dataset using generate_nerf_dataset.py to create them?
thx
The text was updated successfully, but these errors were encountered: