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_base_ = '../default.py'
basedir = './logs/llff'
data = dict(
dataset_type='llff',
ndc=True,
# width=1008,
# height=756,
factor=4,
)
coarse_train = dict(
N_iters=0,
)
coarse_model_and_render = dict(
num_voxels=320**3,
f_num_voxels=320**3,
num_voxels_base=320**3,
f_num_voxels_base=320**3,
density_type='DenseGrid',
density_config=dict(n_comp=1),
k0_type='TensoRFGrid',
k0_config=dict(n_comp=48),
f_k0_type='TensoRFGrid',
f_k0_config=dict(n_comp=64),
)
fine_train = dict(
N_iters=30000,
#N_iters=60000,
N_rand=4096 * 1,
#weight_distortion=0.01,
pg_scale=[2000,4000,6000,8000],
ray_sampler='flatten',
tv_before=1e9,
tv_dense_before=10000,
weight_tv_density=1e-5,
weight_tv_k0=1e-6,
)
fine_model_and_render = dict(
num_voxels=320**3,
f_num_voxels=320**3,
num_voxels_base=320**3,
f_num_voxels_base=320**3,
density_type='DenseGrid',
density_config=dict(n_comp=1),
k0_type='TensoRFGrid',
k0_config=dict(n_comp=48),
f_k0_type='TensoRFGrid',
f_k0_config=dict(n_comp=64),
mpi_depth=128,
rgbnet_dim=9,
rgbnet_width=64,
world_bound_scale=1,
fast_color_thres=1e-3,
)
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