dataset_name = RealEstate10K
datadir = RealEstate10K/00006
expname =  test2
basedir = ./log_RealEstate10K
train_frame_num = [0, 10, 20, 30]
test_frame_num = [1,2,3,4,5,6,7,8,9,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,31,32,33,34,35]


downsample_train = 1.0
ndc_ray = 1

n_iters = 10000
batch_size = 2048
novel_batch_size = 2048

# N_voxel_init = 2097156 # 32**3
N_voxel_init = 512 # 8**3
# N_voxel_final = 262144000 # 640**3
# N_voxel_final = 884736000 # 960**3
N_voxel_final = 27000000 # 300**3
down_sampling_ratio = [2,4]

upsamp_list = [2000,3000,4000,5500]
update_AlphaMask_list = [2500]

N_vis = 4 # val can use [1, 9, 18, 27]
vis_every = 2500

render_train = 0
render_test = 1
render_path = 1

n_lamb_sigma = [16,4,4]
n_lamb_sh = [48,12,12]

shadingMode = MLP_Fea
fea2denseAct = relu

view_pe = 0
fea_pe = 2

MR_color_weight = 10
LR_color_weight = 10

TV_weight_density = 0.1
TV_weight_app = 1
TV_weight_color_density = 0.0

Sparse_Depth_weight = 0.0
Self_Depth_weight = 0.001
Dist_weight = 0.0001
Depth_Smooth_weight = 0.0

self_depth_start_iter = 0
reprojection_error_thr = 1.0
warping_patch_size = 5

# L1_weight_inital = 8e-5
# L1_weight_rest = 4e-5

lr_init = 0.04
lr_basis = 2e-3
lr_decay_iters = 6500 # affect lr_factor
lr_decay_target_ratio_for_weight = 0.05 # affect lr_factor 
lr_decay_target_ratio = 0.05 # affect lr_scale
