|
checkpoint: |
|
save_epoch: 9999999999 |
|
save_iter: 5000 |
|
save_latest_iter: 9999999999 |
|
save_period: 9999999999 |
|
strict_resume: true |
|
cudnn: |
|
benchmark: true |
|
deterministic: false |
|
data: |
|
name: dummy |
|
num_images: 100 |
|
num_workers: 4 |
|
preload: true |
|
readjust: |
|
center: |
|
- 0.0 |
|
- 0.0 |
|
- 0.0 |
|
scale: 1.0 |
|
root: datasets/lego_skip2/dense |
|
train: |
|
batch_size: 1 |
|
image_size: |
|
- 799 |
|
- 799 |
|
subset: null |
|
type: projects.neuralangelo.data |
|
use_multi_epoch_loader: true |
|
val: |
|
batch_size: 1 |
|
image_size: |
|
- 300 |
|
- 300 |
|
max_viz_samples: 16 |
|
subset: 4 |
|
image_save_iter: 9999999999 |
|
inference_args: {} |
|
local_rank: 0 |
|
logdir: logs/lego_group/lego |
|
logging_iter: 9999999999999 |
|
max_epoch: 9999999999 |
|
max_iter: 500000 |
|
metrics_epoch: null |
|
metrics_iter: null |
|
model: |
|
appear_embed: |
|
dim: 8 |
|
enabled: true |
|
background: |
|
enabled: true |
|
encoding: |
|
levels: 10 |
|
type: fourier |
|
encoding_view: |
|
levels: 3 |
|
type: spherical |
|
mlp: |
|
activ: relu |
|
activ_density: softplus |
|
activ_density_params: {} |
|
activ_params: {} |
|
hidden_dim: 256 |
|
hidden_dim_rgb: 128 |
|
num_layers: 8 |
|
num_layers_rgb: 2 |
|
skip: |
|
- 4 |
|
skip_rgb: [] |
|
view_dep: true |
|
white: false |
|
object: |
|
rgb: |
|
encoding_view: |
|
levels: 3 |
|
type: spherical |
|
mlp: |
|
activ: relu_ |
|
activ_params: {} |
|
hidden_dim: 256 |
|
num_layers: 4 |
|
skip: [] |
|
weight_norm: true |
|
mode: idr |
|
s_var: |
|
anneal_end: 0.1 |
|
init_val: 3.0 |
|
sdf: |
|
encoding: |
|
coarse2fine: |
|
enabled: true |
|
init_active_level: 4 |
|
step: 5000 |
|
hashgrid: |
|
dict_size: 22 |
|
dim: 8 |
|
max_logres: 11 |
|
min_logres: 5 |
|
range: |
|
- -2 |
|
- 2 |
|
levels: 16 |
|
type: hashgrid |
|
gradient: |
|
mode: numerical |
|
taps: 4 |
|
mlp: |
|
activ: softplus |
|
activ_params: |
|
beta: 100 |
|
geometric_init: true |
|
hidden_dim: 256 |
|
inside_out: false |
|
num_layers: 1 |
|
out_bias: 0.5 |
|
skip: [] |
|
weight_norm: true |
|
render: |
|
num_sample_hierarchy: 4 |
|
num_samples: |
|
background: 32 |
|
coarse: 64 |
|
fine: 16 |
|
rand_rays: 512 |
|
stratified: true |
|
type: projects.neuralangelo.model |
|
nvtx_profile: false |
|
optim: |
|
fused_opt: false |
|
params: |
|
lr: 0.001 |
|
weight_decay: 0.01 |
|
sched: |
|
gamma: 10.0 |
|
iteration_mode: true |
|
step_size: 9999999999 |
|
two_steps: |
|
- 300000 |
|
- 400000 |
|
type: two_steps_with_warmup |
|
warm_up_end: 5000 |
|
type: AdamW |
|
pretrained_weight: null |
|
source_filename: /content/neuralangelo/projects/neuralangelo/configs/custom/lego.yaml |
|
speed_benchmark: false |
|
test_data: |
|
name: dummy |
|
num_workers: 0 |
|
test: |
|
batch_size: 1 |
|
is_lmdb: false |
|
roots: null |
|
type: imaginaire.datasets.images |
|
timeout_period: 9999999 |
|
trainer: |
|
amp_config: |
|
backoff_factor: 0.5 |
|
enabled: false |
|
growth_factor: 2.0 |
|
growth_interval: 2000 |
|
init_scale: 65536.0 |
|
ddp_config: |
|
find_unused_parameters: false |
|
static_graph: true |
|
depth_vis_scale: 0.5 |
|
ema_config: |
|
beta: 0.9999 |
|
enabled: false |
|
load_ema_checkpoint: false |
|
start_iteration: 0 |
|
grad_accum_iter: 1 |
|
image_to_tensorboard: false |
|
init: |
|
gain: null |
|
type: none |
|
loss_weight: |
|
curvature: 0.0005 |
|
eikonal: 0.1 |
|
render: 1.0 |
|
type: projects.neuralangelo.trainer |
|
validation_iter: 50000 |
|
wandb_image_iter: 1000 |
|
wandb_scalar_iter: 100 |
|
|