codecsplat / config /main.yaml
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CodecSplat demo
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defaults:
- dataset: re10k
- optional dataset/view_sampler_dataset_specific_config: ${dataset/view_sampler}_${dataset}
- model/encoder: codecsplat
- model/decoder: splatting_gsplat
- loss: [mse]
- _self_
wandb:
project: codecsplat
entity: null
name: placeholder
mode: online
id: null
mode: train
dataset:
overfit_to_scene: null
data_loader:
train:
num_workers: 10
persistent_workers: true
batch_size: 4
seed: 1234
test:
num_workers: 4
persistent_workers: false
batch_size: 1
seed: 2345
val:
num_workers: 1
persistent_workers: true
batch_size: 1
seed: 3456
optimizer:
lr: 2.e-4
lr_monodepth: 2.e-6
warm_up_steps: 2000
weight_decay: 0.01
div_factor: 25.
final_div_factor: 1.e4
checkpointing:
load: null
every_n_train_steps: 5000
save_top_k: 5
pretrained_model: null
pretrained_monodepth: null
pretrained_mvdepth: null
pretrained_depth: null
no_strict_load: false
resume: false
train:
depth_mode: null
extended_visualization: false
print_log_every_n_steps: 100
eval_model_every_n_val: 2 # quantitative evaluation every n val
eval_data_length: 999999
eval_time_skip_steps: 3
eval_save_model: true
l1_loss: false
intermediate_loss_weight: 0.9
no_viz_video: false
train_ignore_large_loss: 0.
test:
compute_scores: true
eval_time_skip_steps: 0
save_image: false
save_video: false
save_gt_image: false
save_input_images: false
save_depth: false
save_depth_npy: false
save_depth_concat_img: false
save_gaussian: false
save_bitstream: false
render_chunk_size: null
stabilize_camera: false
stab_camera_kernel: 50
gaussian_export_all_points: true
gaussian_export_align_to_view: false
seed: 111123
trainer:
max_steps: -1
val_check_interval: 0.5
gradient_clip_val: 0.5
accumulate_grad_batches: 1
precision: 32-true
num_sanity_val_steps: 2
num_nodes: 1
output_dir: checkpoints/tmp
use_plugins: false
hydra:
run:
dir: ${output_dir}/hydra/${now:%Y-%m-%d-%H-%M-%S}
job:
chdir: false
output_subdir: .
job_logging:
handlers:
file:
filename: /dev/null
root:
handlers:
- console