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

配置文件中有些参数不太了解?有人能解答一下吗? #270

Open
zckcola opened this issue Mar 12, 2024 · 0 comments
Open

Comments

@zckcola
Copy link

zckcola commented Mar 12, 2024

我是该领域的初学者,不太能了解这些参数大概指什么?影响那些方面。请问有人能解释一下吗
min_near: 0.05 # minimum near distance for camera
bound: 1 # assume the scene is bounded in box[-bound, bound]^3, if > 1, will invoke adaptive ray marching.
camera_scale: 4. # scale camera location into box[-bound, bound]^3
camera_offset: [0, 0, 0] # offset of camera location
grid_size: 128
num_levels: 16
level_dim: 2
per_level_scale: 2
base_resolution: 16
input_dim: 2
desired_resolution: 2048
log2_hashmap_size: 16
dt_gamma: 0.00390625 # default 1/256, dt_gamma (>=0) for adaptive ray marching. set to 0 to disable, >0 to accelerate rendering (but usually with worse quality)
density_thresh: 10 # threshold for density grid to be occupied (sigma)
density_thresh_torso: 0.01 # threshold for density grid to be occupied (alpha)
torso_shrink: 0.8 # shrink bg coords to allow more flexibility in deform

@zckcola zckcola changed the title After changing the encoding method from instant-ngp to hashgrid in the torsor stage, why is the prediction quality significantly low? 配置文件中有些参数不太了解?有人能解答一下吗? Mar 12, 2024
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

1 participant