-
Notifications
You must be signed in to change notification settings - Fork 29
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
17 changed files
with
1,024 additions
and
97 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -151,5 +151,4 @@ runs/ | |
| load/ | ||
| extern/ | ||
| data/ | ||
| results | ||
| scripts | ||
| results | ||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,181 @@ | ||
| name: neuralangelo-colmap_sparse-SH-${basename:${dataset.root_dir}} | ||
| tag: "" | ||
| seed: 42 | ||
|
|
||
| dataset: | ||
| name: colmap | ||
| root_dir: ??? | ||
| img_downscale: 2 # specify training image size by either img_wh or img_downscale | ||
| up_est_method: ground # if true, use estimated ground plane normal direction as up direction | ||
| center_est_method: lookat | ||
| n_test_traj_steps: 2 | ||
| apply_mask: false | ||
| load_data_on_gpu: false | ||
| dense_pcd_path: null | ||
|
|
||
| model: | ||
| name: sh-neus | ||
| radius: 1.5 | ||
| num_samples_per_ray: 1024 | ||
| train_num_rays: 128 | ||
| max_train_num_rays: 8192 | ||
| grid_prune: true | ||
| grid_prune_occ_thre: 0.001 | ||
| dynamic_ray_sampling: true | ||
| batch_image_sampling: true | ||
| randomized: true | ||
| ray_chunk: 2048 | ||
| cos_anneal_end: 20000 | ||
| learned_background: true | ||
| background_color: random | ||
| variance: | ||
| init_val: 0.3 | ||
| modulate: false | ||
| geometry: | ||
| name: volume-sdf | ||
| radius: ${model.radius} | ||
| feature_dim: 65 | ||
| grad_type: analytic | ||
| finite_difference_eps: progressive | ||
| isosurface: | ||
| method: mc | ||
| resolution: 512 | ||
| chunk: 2097152 | ||
| threshold: 0.001 | ||
| xyz_encoding_config: | ||
| otype: ProgressiveBandHashGrid | ||
| n_levels: 16 | ||
| n_features_per_level: 2 | ||
| log2_hashmap_size: 19 | ||
| base_resolution: 32 | ||
| per_level_scale: 1.3195079107728942 | ||
| include_xyz: true | ||
| start_level: 6 | ||
| start_step: 5000 | ||
| update_steps: 1000 | ||
| mlp_network_config: | ||
| otype: VanillaMLP | ||
| activation: ReLU | ||
| output_activation: none | ||
| n_neurons: 64 | ||
| n_hidden_layers: 2 | ||
| sphere_init: true | ||
| sphere_init_radius: 0.5 | ||
| weight_norm: true | ||
| texture: | ||
| name: volume-SH | ||
| input_feature_dim: ${add:${model.geometry.feature_dim},3} # surface normal as additional input | ||
| sh_level: 3 | ||
| mlp_network_config: | ||
| otype: VanillaMLP | ||
| activation: ReLU | ||
| output_activation: none | ||
| n_neurons: 64 | ||
| n_hidden_layers: 2 | ||
| color_activation: sigmoid | ||
| # background model configurations | ||
| num_samples_per_ray_bg: 256 | ||
| geometry_bg: | ||
| name: volume-density | ||
| radius: ${model.radius} | ||
| feature_dim: 8 | ||
| density_activation: trunc_exp | ||
| density_bias: -1 | ||
| isosurface: null | ||
| xyz_encoding_config: | ||
| otype: ProgressiveBandHashGrid | ||
| n_levels: 16 | ||
| n_features_per_level: 2 | ||
| log2_hashmap_size: 19 | ||
| base_resolution: 32 | ||
| per_level_scale: 1.3195079107728942 | ||
| include_xyz: true | ||
| start_level: 8 | ||
| start_step: 5000 | ||
| update_steps: 2000 | ||
| mlp_network_config: | ||
| otype: VanillaMLP | ||
| activation: ReLU | ||
| output_activation: none | ||
| n_neurons: 64 | ||
| n_hidden_layers: 1 | ||
| texture_bg: | ||
| name: volume-radiance | ||
| input_feature_dim: ${model.geometry_bg.feature_dim} | ||
| dir_encoding_config: | ||
| otype: SphericalHarmonics | ||
| degree: 4 | ||
| mlp_network_config: | ||
| otype: VanillaMLP | ||
| activation: ReLU | ||
| output_activation: none | ||
| n_neurons: 64 | ||
| n_hidden_layers: 2 | ||
| color_activation: sigmoid | ||
|
|
||
| system: | ||
| name: neus-system | ||
| loss: | ||
| lambda_sdf_l1: [0, 1, 0, 20000] | ||
| lambda_normal: 0. | ||
| lambda_rgb_mse: 10. | ||
| lambda_rgb_l1: 0. | ||
| lambda_sh_mse: 0.01 | ||
| lambda_mask: 0.0 | ||
| lambda_eikonal: 0.1 | ||
| lambda_curvature: [0, 0, 5.e-1, 5000] | ||
| lambda_sparsity: 0.0 | ||
| lambda_distortion: 0.0 | ||
| lambda_distortion_bg: 0.0 | ||
| lambda_opaque: 0.0 | ||
| sparsity_scale: 1. | ||
| optimizer: | ||
| name: AdamW | ||
| args: | ||
| lr: 0.01 | ||
| betas: [0.9, 0.99] | ||
| eps: 1.e-15 | ||
| params: | ||
| geometry: | ||
| lr: 0.01 | ||
| texture: | ||
| lr: 0.01 | ||
| geometry_bg: | ||
| lr: 0.01 | ||
| texture_bg: | ||
| lr: 0.01 | ||
| variance: | ||
| lr: 0.001 | ||
| warmup_steps: 500 | ||
| scheduler: | ||
| name: SequentialLR | ||
| interval: step | ||
| milestones: | ||
| - ${system.warmup_steps} | ||
| schedulers: | ||
| - name: LinearLR # linear warm-up in the first system.warmup_steps steps | ||
| args: | ||
| start_factor: 0.01 | ||
| end_factor: 1.0 | ||
| total_iters: ${system.warmup_steps} | ||
| - name: ExponentialLR | ||
| args: | ||
| gamma: ${calc_exp_lr_decay_rate:0.1,${sub:${trainer.max_steps},${system.warmup_steps}}} | ||
|
|
||
| checkpoint: | ||
| save_top_k: -1 | ||
| every_n_train_steps: ${trainer.max_steps} | ||
|
|
||
| export: | ||
| chunk_size: 2097152 | ||
| export_vertex_color: True | ||
|
|
||
| trainer: | ||
| max_steps: 20000 | ||
| log_every_n_steps: 100 | ||
| num_sanity_val_steps: 0 | ||
| val_check_interval: 5000 | ||
| limit_train_batches: 1.0 | ||
| limit_val_batches: 2 | ||
| enable_progress_bar: true | ||
| precision: 16 |
Oops, something went wrong.