dataset_name = llff_latent_mask
datadir = ./data/nerf_llff_data/fortress
feature_dir = ./data/nerf_llff_data/fortress/latents
basedir = ./log/fotress_ed
expname = fortress_ed
downsample_train = 15.75
ndc_ray = 0

n_iters = 3000
batch_size = 4096
cal_feature = false
feature_lambda = 1.0

N_voxel_init = 64 # 64**3
N_voxel_final = 150 # 150**3
upsamp_list = [2000,3000,4000,5500]
update_AlphaMask_list = [2500, 4000]

N_vis = -1 # vis all testing images
vis_every = 100


n_lamb_sigma = [64,64,64]
n_lamb_sh = [384,384,384]

shadingMode = MLP_Fea_latent
fea2denseAct = relu

L1_weight_inital = 0.0
L1_weight_rest = 0.0
rm_weight_mask_thre = 1e-4
device = 'cuda:0'
ldm_device = 'cuda:0'
ckpt = './log/core_w_vae/fortress/fortress.th'
svae_ckpt = './log/core_w_vae/fortress/fortress_svae.th'
no_ray_random = True
mask_prompt = 'castle'

save_freq = 5000

TV_weight_density = 1.0
TV_weight_app = 1.0
sds_weight = 0.001
im_recon_weight = 0.01

render_test = 1

threshold_rate = 0.3
om_recon_weight = 100.0
ref_prompt = 'a small castle on the table'
target_prompt = 'a marshmallow fortress on the table'

