Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Train LLFF datasets #4

Open
katealenic opened this issue May 23, 2021 · 3 comments
Open

Train LLFF datasets #4

katealenic opened this issue May 23, 2021 · 3 comments

Comments

@katealenic
Copy link

Hello, it's interesting project! Do you have config to LLFF datasets, I'm using config as
dataset: llff
image_batching: false
factor: 4
num_coarse_samples: 64
num_fine_samples: 128
use_viewdirs: false
white_bkgd: true # No alpha channel
batch_size: 1024
randomized: true
sh_deg: 4
max_steps: 1000000
, but nerf-sh isn't training and has bad results. Can you help me?

@879917820
Copy link

You can refer to nerf to modify "near" and "far" in plenoctree.

@HrsPythonix
Copy link

You can refer to nerf to modify "near" and "far" in plenoctree.

If I have a group of 360 degree captured images of an object with background,how can I modify parameters to make plenoctree train on these datas?

@Holmes-Alan
Copy link

Did you find a way to train the model on LLFF data?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants