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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
The text was updated successfully, but these errors were encountered:
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
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
The text was updated successfully, but these errors were encountered: