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| name: ${basename:${dataset.scene}} | |
| tag: "" | |
| seed: 42 | |
| dataset: | |
| name: ortho | |
| root_dir: /home/xiaoxiao/Workplace/wonder3Dplus/outputs/joint-twice/aigc/cropsize-224-cfg1.0 | |
| cam_pose_dir: null | |
| scene: scene_name | |
| imSize: [1024, 1024] # should use larger res, otherwise the exported mesh has wrong colors | |
| camera_type: ortho | |
| apply_mask: true | |
| camera_params: null | |
| view_weights: [1.0, 0.8, 0.2, 1.0, 0.4, 0.7] #['front', 'front_right', 'right', 'back', 'left', 'front_left'] | |
| # view_weights: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] | |
| model: | |
| name: neus | |
| radius: 1.0 | |
| num_samples_per_ray: 1024 | |
| train_num_rays: 256 | |
| 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: false | |
| background_color: black | |
| variance: | |
| init_val: 0.3 | |
| modulate: false | |
| geometry: | |
| name: volume-sdf | |
| radius: ${model.radius} | |
| feature_dim: 13 | |
| grad_type: finite_difference | |
| finite_difference_eps: progressive | |
| isosurface: | |
| method: mc | |
| resolution: 192 | |
| chunk: 2097152 | |
| threshold: 0. | |
| xyz_encoding_config: | |
| otype: ProgressiveBandHashGrid | |
| n_levels: 10 # 12 modify | |
| n_features_per_level: 2 | |
| log2_hashmap_size: 19 | |
| base_resolution: 32 | |
| per_level_scale: 1.3195079107728942 | |
| include_xyz: true | |
| start_level: 4 | |
| start_step: 0 | |
| update_steps: 1000 | |
| mlp_network_config: | |
| otype: VanillaMLP | |
| activation: ReLU | |
| output_activation: none | |
| n_neurons: 64 | |
| n_hidden_layers: 1 | |
| sphere_init: true | |
| sphere_init_radius: 0.5 | |
| weight_norm: true | |
| texture: | |
| name: volume-radiance | |
| input_feature_dim: ${add:${model.geometry.feature_dim},3} # surface normal as additional input | |
| 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: ortho-neus-system | |
| loss: | |
| lambda_rgb_mse: 0.5 | |
| lambda_rgb_l1: 0. | |
| lambda_mask: 1.0 | |
| lambda_eikonal: 0.2 # cannot be too large, will cause holes to thin objects | |
| lambda_normal: 1.0 # cannot be too large | |
| lambda_3d_normal_smooth: 1.0 | |
| # lambda_curvature: [0, 0.0, 1.e-4, 1000] # topology warmup | |
| lambda_curvature: 0. | |
| lambda_sparsity: 0.5 | |
| lambda_distortion: 0.0 | |
| lambda_distortion_bg: 0.0 | |
| lambda_opaque: 0.0 | |
| sparsity_scale: 100.0 | |
| geo_aware: true | |
| rgb_p_ratio: 0.8 | |
| normal_p_ratio: 0.8 | |
| mask_p_ratio: 0.9 | |
| optimizer: | |
| name: AdamW | |
| args: | |
| lr: 0.01 | |
| betas: [0.9, 0.99] | |
| eps: 1.e-15 | |
| params: | |
| geometry: | |
| lr: 0.001 | |
| texture: | |
| lr: 0.01 | |
| variance: | |
| lr: 0.001 | |
| constant_steps: 500 | |
| scheduler: | |
| name: SequentialLR | |
| interval: step | |
| milestones: | |
| - ${system.constant_steps} | |
| schedulers: | |
| - name: ConstantLR | |
| args: | |
| factor: 1.0 | |
| total_iters: ${system.constant_steps} | |
| - name: ExponentialLR | |
| args: | |
| gamma: ${calc_exp_lr_decay_rate:0.1,${sub:${trainer.max_steps},${system.constant_steps}}} | |
| checkpoint: | |
| save_top_k: -1 | |
| every_n_train_steps: ${trainer.max_steps} | |
| export: | |
| chunk_size: 2097152 | |
| export_vertex_color: True | |
| ortho_scale: 1.35 #modify | |
| trainer: | |
| max_steps: 3000 | |
| log_every_n_steps: 100 | |
| num_sanity_val_steps: 0 | |
| val_check_interval: 4000 | |
| limit_train_batches: 1.0 | |
| limit_val_batches: 2 | |
| enable_progress_bar: true | |
| precision: 16 | |