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eks_data

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MikolajZ commited on
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1 Parent(s): 2edc208

Added configs + missing data + README.md update

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  1. README.md +74 -1
  2. blender/fox_nodding/Fox_nodding.blend +3 -0
  3. blender/fox_nodding/script.py +50 -0
  4. blender/rug_cup/Rug_cup.blend +3 -0
  5. blender/rug_cup/script.py +50 -0
  6. configs/bicycle.yml +195 -0
  7. configs/bonsai.yml +195 -0
  8. configs/chair.yml +186 -0
  9. configs/counter.yml +195 -0
  10. configs/drums.yml +186 -0
  11. configs/ficus.yml +186 -0
  12. configs/flowers.yml +195 -0
  13. configs/fox_nodding.yml +195 -0
  14. configs/garden.yml +195 -0
  15. configs/hotdog.yml +186 -0
  16. configs/kitchen.yml +195 -0
  17. configs/lego.yml +186 -0
  18. configs/materials.yml +186 -0
  19. configs/mic.yml +186 -0
  20. configs/pillow_duck.yml +189 -0
  21. configs/pirate_flag.yml +189 -0
  22. configs/room.yml +195 -0
  23. configs/rug_cup.yml +187 -0
  24. configs/ship.yml +186 -0
  25. configs/stump.yml +195 -0
  26. configs/treehill.yml +195 -0
  27. data/pirate_flag/train/transforms.json +0 -3005
  28. data/rug_cup/.DS_Store +0 -0
  29. data/rug_cup/sparse_pc.ply +3 -0
  30. data/rug_cup/test/r_0.png +3 -0
  31. data/rug_cup/test/r_0_depth_0001.png +3 -0
  32. data/rug_cup/test/r_0_normal_0001.png +3 -0
  33. data/rug_cup/test/r_1.png +3 -0
  34. data/rug_cup/test/r_10.png +3 -0
  35. data/rug_cup/test/r_100.png +3 -0
  36. data/rug_cup/test/r_100_depth_0001.png +3 -0
  37. data/rug_cup/test/r_100_normal_0001.png +3 -0
  38. data/rug_cup/test/r_101.png +3 -0
  39. data/rug_cup/test/r_101_depth_0001.png +3 -0
  40. data/rug_cup/test/r_101_normal_0001.png +3 -0
  41. data/rug_cup/test/r_102.png +3 -0
  42. data/rug_cup/test/r_102_depth_0001.png +3 -0
  43. data/rug_cup/test/r_102_normal_0001.png +3 -0
  44. data/rug_cup/test/r_103.png +3 -0
  45. data/rug_cup/test/r_103_depth_0001.png +3 -0
  46. data/rug_cup/test/r_103_normal_0001.png +3 -0
  47. data/rug_cup/test/r_104.png +3 -0
  48. data/rug_cup/test/r_104_depth_0001.png +3 -0
  49. data/rug_cup/test/r_104_normal_0001.png +3 -0
  50. data/rug_cup/test/r_105.png +3 -0
README.md CHANGED
@@ -2,9 +2,82 @@
2
  license: mit
3
  ---
4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  ## 📄 Citation
6
 
7
- If you use this dataset, please cite:
8
 
9
  ```bibtex
10
  @misc{zielinski2025genie,
 
2
  license: mit
3
  ---
4
 
5
+ # Dataset content
6
+
7
+ In the following folders you can find:
8
+ - `blender` - our animations with scripts used to generate them
9
+ - `configs` - configuration files used during the experimetns shown in our paper
10
+ - `data` - contains NeRF Synthetic + Our Assets wit appriopriate `sparse_pc.ply` used for initialization of the system
11
+ - `permuto_SDF_models` - meshes generated with [PermutoSDF](https://radualexandru.github.io/permuto_sdf/) that we have used for driving the Gaussians
12
+
13
+ Dataset lacks the data for Mip-NeRF 360 dataset which can be downloaded from [here](https://jonbarron.info/mipnerf360/) and also fox which can be found [here](https://github.com/NVlabs/instant-ngp).
14
+ Additionally Mip-NeRF 360 shoud be processed with:
15
+ ``` bash
16
+ # Do this for every dataset in the folder
17
+ cd <dataset_folder>
18
+ ns-process-data images --data . --output-dir . --skip-colmap --skip-image-processin --colmap-model-path sparse/0
19
+ ```
20
+
21
+ # Bugs in nerfstudio 1.1.4
22
+
23
+ There were a few bugs in nerfstudio we needed to fix in order to train on Mip-NeRF 360 dataset:
24
+
25
+ File: nerfstudio/exporter/exporter_utils.py
26
+
27
+ ``` python
28
+ # Lines 166-172
29
+
30
+ # Change from:
31
+ if crop_obb is not None:
32
+ mask = crop_obb.within(point)
33
+ point = point[mask]
34
+ rgb = rgb[mask]
35
+ view_direction = view_direction[mask]
36
+ if normal is not None:
37
+ normal = normal[mask]
38
+
39
+ # To:
40
+ if crop_obb is not None:
41
+ mask = crop_obb.within(point)
42
+ point = point[mask]
43
+ rgb = rgb[mask]
44
+ view_direction = view_direction[mask]
45
+ if normal is not None:
46
+ normal = normal[mask]
47
+
48
+ ```
49
+
50
+ File: nerfstudio/model_components/ray_generators.py
51
+
52
+ ``` python
53
+ # Lines 49-50
54
+
55
+ # Change from:
56
+ y = ray_indices[:, 1] # row indices
57
+ x = ray_indices[:, 2] # col indices
58
+
59
+ # To:
60
+ y = torch.clamp(ray_indices[:, 1], 0, self.image_coords.shape[0] - 1) # row indices
61
+ x = torch.clamp(ray_indices[:, 2], 0, self.image_coords.shape[1] - 1) # col indices
62
+
63
+ ```
64
+
65
+ File: nerfstudio/utils/eval_utils.py
66
+
67
+ ``` python
68
+ # Line 62
69
+
70
+ # Change from:
71
+ loaded_state = torch.load(load_path, map_location="cpu")
72
+
73
+ # To:
74
+ loaded_state = torch.load(load_path, map_location="cpu", weights_only=False)
75
+
76
+ ```
77
+
78
  ## 📄 Citation
79
 
80
+ If you use our data, please cite:
81
 
82
  ```bibtex
83
  @misc{zielinski2025genie,
blender/fox_nodding/Fox_nodding.blend ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f7ac962fc4c340dc44a450a2e858b30afae989b879f45502710ca196f13cd6b
3
+ size 10249373
blender/fox_nodding/script.py ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import bpy
2
+ import os
3
+
4
+ # Set output directory
5
+ output_dir = "blender/fox_nodding/plys" # Change this!
6
+
7
+ # Ensure the output directory exists
8
+ if not os.path.exists(output_dir):
9
+ os.makedirs(output_dir)
10
+
11
+ # Set the frame range
12
+ start_frame = bpy.context.scene.frame_start
13
+ end_frame = bpy.context.scene.frame_end
14
+
15
+ # Name of the object to export
16
+ object_names = ["Fox"]
17
+
18
+ # Deselect everything
19
+ bpy.ops.object.select_all(action='DESELECT')
20
+
21
+ # Ensure it is selected and active
22
+ for name in object_names:
23
+ obj = bpy.data.objects[name]
24
+ obj.select_set(True)
25
+ bpy.context.view_layer.objects.active = obj
26
+
27
+ # Loop through each frame
28
+ for frame in range(start_frame, end_frame + 1):
29
+ bpy.context.scene.frame_set(frame)
30
+ bpy.context.view_layer.update() # Ensure simulation is evaluated
31
+
32
+ # Export to .obj
33
+ filename = f"{(frame - 1):05d}.ply"
34
+ filepath = os.path.join(output_dir, filename)
35
+
36
+ bpy.ops.wm.ply_export(
37
+ filepath=filepath,
38
+ apply_modifiers=True,
39
+ export_selected_objects=True,
40
+ export_normals=True,
41
+ export_uv=True,
42
+ export_colors='NONE', # options: 'NONE', 'SRGB', 'LINEAR'
43
+ export_attributes=False,
44
+ export_triangulated_mesh=False,
45
+ ascii_format=True, # Set to False for binary PLY
46
+ forward_axis='Y',
47
+ up_axis='Z'
48
+ )
49
+
50
+ print(f"Exported frame {frame} to {filepath}")
blender/rug_cup/Rug_cup.blend ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a0948b4f2097e093a305038a242bda7957dbc4817252fe59d5fd37026b971e8
3
+ size 9836555
blender/rug_cup/script.py ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import bpy
2
+ import os
3
+
4
+ # Set output directory
5
+ output_dir = "blender/rug_cup/plys" # Change this!
6
+
7
+ # Ensure the output directory exists
8
+ if not os.path.exists(output_dir):
9
+ os.makedirs(output_dir)
10
+
11
+ # Set the frame range
12
+ start_frame = bpy.context.scene.frame_start
13
+ end_frame = bpy.context.scene.frame_end
14
+
15
+ # Name of the object to export
16
+ object_names = ["Fish_Cup", "Rug"]
17
+
18
+ # Deselect everything
19
+ bpy.ops.object.select_all(action='DESELECT')
20
+
21
+ # Ensure it is selected and active
22
+ for name in object_names:
23
+ obj = bpy.data.objects[name]
24
+ obj.select_set(True)
25
+ bpy.context.view_layer.objects.active = obj
26
+
27
+ # Loop through each frame
28
+ for frame in range(start_frame, end_frame + 1):
29
+ bpy.context.scene.frame_set(frame)
30
+ bpy.context.view_layer.update() # Ensure simulation is evaluated
31
+
32
+ # Export to .obj
33
+ filename = f"{(frame - 1):05d}.ply"
34
+ filepath = os.path.join(output_dir, filename)
35
+
36
+ bpy.ops.wm.ply_export(
37
+ filepath=filepath,
38
+ apply_modifiers=True,
39
+ export_selected_objects=True,
40
+ export_normals=True,
41
+ export_uv=True,
42
+ export_colors='NONE', # options: 'NONE', 'SRGB', 'LINEAR'
43
+ export_attributes=False,
44
+ export_triangulated_mesh=False,
45
+ ascii_format=True, # Set to False for binary PLY
46
+ forward_axis='Y',
47
+ up_axis='Z'
48
+ )
49
+
50
+ print(f"Exported frame {frame} to {filepath}")
configs/bicycle.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - bicycle
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: bicycle
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 0
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 1
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 2.0
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: test
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/bonsai.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - bonsai
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: bonsai
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 2.0
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: open_scenes_baseline
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/chair.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - chair
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: chair
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/counter.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - counter
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: counter
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 2.0
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: open_scenes_baseline
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/drums.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - drums
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: drums
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/ficus.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - ficus
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: ficus
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/flowers.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - flowers
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: flowers
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 2.0
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: open_scenes_baseline
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/fox_nodding.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - fox
6
+ denisification_interval: 200
7
+ densification_start_step: 100
8
+ densification_stop_step: 8000
9
+ experiment_name: fox
10
+ freeze_means_step: 10000
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 0
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 1
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
101
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
102
+ auto_scale_poses: true
103
+ center_method: poses
104
+ data: !!python/object/apply:pathlib.PosixPath []
105
+ depth_unit_scale_factor: 0.001
106
+ downscale_factor: 1
107
+ eval_interval: 8
108
+ eval_mode: fraction
109
+ load_3D_points: true
110
+ mask_color: null
111
+ orientation_method: up
112
+ scale_factor: 1.0
113
+ scene_scale: 1.0
114
+ train_split_fraction: 0.9
115
+ eval_image_indices: !!python/tuple
116
+ - 0
117
+ eval_num_images_to_sample_from: -1
118
+ eval_num_rays_per_batch: 4096
119
+ eval_num_times_to_repeat_images: -1
120
+ images_on_gpu: false
121
+ masks_on_gpu: false
122
+ patch_size: 1
123
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
124
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
125
+ fisheye_crop_radius: null
126
+ ignore_mask: false
127
+ is_equirectangular: false
128
+ keep_full_image: false
129
+ max_num_iterations: 100
130
+ num_rays_per_batch: 4096
131
+ rejection_sample_mask: false
132
+ train_num_images_to_sample_from: -1
133
+ train_num_rays_per_batch: 4096
134
+ train_num_times_to_repeat_images: -1
135
+ max_num_samples_per_ray: 1024
136
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
137
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
138
+ alpha_thre: 0.0
139
+ appearance_embedding_dim: 32
140
+ background_color: random
141
+ collider_params: null
142
+ cone_angle: 0.00390625
143
+ densify: true
144
+ disable_scene_contraction: false
145
+ enable_collider: false
146
+ eval_num_rays_per_chunk: 8192
147
+ far_plane: 1000.0
148
+ grid_resolution: 128
149
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
150
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
151
+ chi_squared_radius: 2.0
152
+ device: cuda
153
+ n_neighbours: 16
154
+ loss_coefficients:
155
+ rgb_loss_coarse: 1.0
156
+ rgb_loss_fine: 1.0
157
+ max_gb: 20
158
+ near_plane: 0.0
159
+ prompt: null
160
+ prune: true
161
+ render_step_size: 0.005
162
+ unfreeze_means: true
163
+ use_appearance_embedding: false
164
+ use_gradient_scaling: true
165
+ target_num_samples: 262144
166
+ project_name: nerfstudio-project
167
+ prompt: null
168
+ pruning_interval: 1000
169
+ pruning_start_step: 1000
170
+ pruning_stop_step: 15000
171
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
172
+ - nerfstudio_models
173
+ save_only_latest_checkpoint: true
174
+ start_paused: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: fox_nodding
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/garden.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - garden
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: garden
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 0.25
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: open_scenes_baseline
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/hotdog.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - hotdog
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: hotdog
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/kitchen.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - kitchen
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: kitchen
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 0.25
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: open_scenes_baseline
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/lego.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - lego
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: lego
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/materials.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - materials
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: materials
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/mic.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - mic
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: mic
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/pillow_duck.yml ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - pillow_duck
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: pillow_duck
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
102
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
103
+ alpha_color: white
104
+ data: !!python/object/apply:pathlib.PosixPath
105
+ - data
106
+ - blender
107
+ - lego
108
+ ply_path: null
109
+ scale_factor: 1.0
110
+ eval_image_indices: !!python/tuple
111
+ - 0
112
+ eval_num_images_to_sample_from: -1
113
+ eval_num_rays_per_batch: 4096
114
+ eval_num_times_to_repeat_images: -1
115
+ images_on_gpu: false
116
+ masks_on_gpu: false
117
+ patch_size: 1
118
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
119
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
120
+ fisheye_crop_radius: null
121
+ ignore_mask: false
122
+ is_equirectangular: false
123
+ keep_full_image: false
124
+ max_num_iterations: 100
125
+ num_rays_per_batch: 4096
126
+ rejection_sample_mask: false
127
+ train_num_images_to_sample_from: -1
128
+ train_num_rays_per_batch: 4096
129
+ train_num_times_to_repeat_images: -1
130
+ max_num_samples_per_ray: 1024
131
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
132
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
133
+ alpha_thre: 0.0
134
+ appearance_embedding_dim: 32
135
+ background_color: white
136
+ collider_params: null
137
+ cone_angle: 0.0
138
+ densify: true
139
+ disable_scene_contraction: true
140
+ enable_collider: false
141
+ eval_num_rays_per_chunk: 8192
142
+ far_plane: 6.0
143
+ grid_resolution: 128
144
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
145
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
146
+ chi_squared_radius: 2.0
147
+ device: cuda
148
+ n_neighbours: 16
149
+ loss_coefficients:
150
+ rgb_loss_coarse: 1.0
151
+ rgb_loss_fine: 1.0
152
+ max_gb: 20
153
+ near_plane: 2.0
154
+ prompt: null
155
+ prune: true
156
+ render_step_size: 0.005
157
+ unfreeze_means: true
158
+ use_appearance_embedding: false
159
+ use_gradient_scaling: true
160
+ target_num_samples: 262144
161
+ project_name: nerfstudio-project
162
+ prompt: null
163
+ pruning_interval: 1000
164
+ pruning_start_step: 1000
165
+ pruning_stop_step: 15000
166
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
167
+ - nerfstudio_models
168
+ save_only_latest_checkpoint: true
169
+ steps_per_eval_all_images: 25000
170
+ steps_per_eval_batch: 500
171
+ steps_per_eval_image: 500
172
+ steps_per_save: 100
173
+ timestamp: pillow_duck
174
+ unfreeze_means_step: 500
175
+ use_grad_scaler: false
176
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
177
+ camera_frustum_scale: 0.1
178
+ default_composite_depth: true
179
+ image_format: jpeg
180
+ jpeg_quality: 75
181
+ make_share_url: false
182
+ max_num_display_images: 512
183
+ num_rays_per_chunk: 4096
184
+ quit_on_train_completion: true
185
+ relative_log_filename: viewer_log_filename.txt
186
+ websocket_host: 0.0.0.0
187
+ websocket_port: null
188
+ websocket_port_default: 7007
189
+ vis: viewer
configs/pirate_flag.yml ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - pirate_flag
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 2000
10
+ experiment_name: pirate_flag
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
102
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
103
+ alpha_color: white
104
+ data: !!python/object/apply:pathlib.PosixPath
105
+ - data
106
+ - blender
107
+ - lego
108
+ ply_path: null
109
+ scale_factor: 1.0
110
+ eval_image_indices: !!python/tuple
111
+ - 0
112
+ eval_num_images_to_sample_from: -1
113
+ eval_num_rays_per_batch: 4096
114
+ eval_num_times_to_repeat_images: -1
115
+ images_on_gpu: false
116
+ masks_on_gpu: false
117
+ patch_size: 1
118
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
119
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
120
+ fisheye_crop_radius: null
121
+ ignore_mask: false
122
+ is_equirectangular: false
123
+ keep_full_image: false
124
+ max_num_iterations: 100
125
+ num_rays_per_batch: 4096
126
+ rejection_sample_mask: false
127
+ train_num_images_to_sample_from: -1
128
+ train_num_rays_per_batch: 4096
129
+ train_num_times_to_repeat_images: -1
130
+ max_num_samples_per_ray: 1024
131
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
132
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
133
+ alpha_thre: 0.0
134
+ appearance_embedding_dim: 32
135
+ background_color: white
136
+ collider_params: null
137
+ cone_angle: 0.0
138
+ densify: true
139
+ disable_scene_contraction: true
140
+ enable_collider: false
141
+ eval_num_rays_per_chunk: 8192
142
+ far_plane: 6.0
143
+ grid_resolution: 128
144
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
145
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
146
+ chi_squared_radius: 2.0
147
+ device: cuda
148
+ n_neighbours: 16
149
+ loss_coefficients:
150
+ rgb_loss_coarse: 1.0
151
+ rgb_loss_fine: 1.0
152
+ max_gb: 20
153
+ near_plane: 2.0
154
+ prompt: null
155
+ prune: true
156
+ render_step_size: 0.005
157
+ unfreeze_means: true
158
+ use_appearance_embedding: false
159
+ use_gradient_scaling: true
160
+ target_num_samples: 262144
161
+ project_name: nerfstudio-project
162
+ prompt: null
163
+ pruning_interval: 1000
164
+ pruning_start_step: 1000
165
+ pruning_stop_step: 15000
166
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
167
+ - nerfstudio_models
168
+ save_only_latest_checkpoint: true
169
+ steps_per_eval_all_images: 25000
170
+ steps_per_eval_batch: 500
171
+ steps_per_eval_image: 500
172
+ steps_per_save: 100
173
+ timestamp: pirate_flag
174
+ unfreeze_means_step: 500
175
+ use_grad_scaler: false
176
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
177
+ camera_frustum_scale: 0.1
178
+ default_composite_depth: true
179
+ image_format: jpeg
180
+ jpeg_quality: 75
181
+ make_share_url: false
182
+ max_num_display_images: 512
183
+ num_rays_per_chunk: 4096
184
+ quit_on_train_completion: true
185
+ relative_log_filename: viewer_log_filename.txt
186
+ websocket_host: 0.0.0.0
187
+ websocket_port: null
188
+ websocket_port_default: 7007
189
+ vis: viewer
configs/room.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - room
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: room
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 2.0
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: open_scenes_baseline
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/rug_cup.yml ADDED
@@ -0,0 +1,187 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - rug
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: rug
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 0
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 1
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: false
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 16
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: false
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ start_paused: false
168
+ steps_per_eval_all_images: 25000
169
+ steps_per_eval_batch: 500
170
+ steps_per_eval_image: 500
171
+ steps_per_save: 100
172
+ timestamp: falling_rug
173
+ use_grad_scaler: false
174
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
175
+ camera_frustum_scale: 0.1
176
+ default_composite_depth: true
177
+ image_format: jpeg
178
+ jpeg_quality: 75
179
+ make_share_url: false
180
+ max_num_display_images: 512
181
+ num_rays_per_chunk: 4096
182
+ quit_on_train_completion: false
183
+ relative_log_filename: viewer_log_filename.txt
184
+ websocket_host: 0.0.0.0
185
+ websocket_port: null
186
+ websocket_port_default: 7007
187
+ vis: viewer
configs/ship.yml ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - nerf_synthetic
6
+ - ship
7
+ denisification_interval: 200
8
+ densification_start_step: 1000
9
+ densification_stop_step: 8000
10
+ experiment_name: ship
11
+ gradient_accumulation_steps: {}
12
+ load_checkpoint: null
13
+ load_config: null
14
+ load_dir: null
15
+ load_scheduler: true
16
+ load_step: null
17
+ log_gradients: false
18
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
19
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
20
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
21
+ enable: true
22
+ max_log_size: 10
23
+ stats_to_track: !!python/tuple
24
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
25
+ - Train Iter (time)
26
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
27
+ - Train Rays / Sec
28
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
29
+ - Test PSNR
30
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
31
+ - Vis Rays / Sec
32
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
33
+ - Test Rays / Sec
34
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
35
+ - ETA (time)
36
+ max_buffer_size: 20
37
+ profiler: basic
38
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
39
+ steps_per_log: 10
40
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
41
+ device_type: cuda
42
+ dist_url: auto
43
+ machine_rank: 0
44
+ num_devices: 1
45
+ num_machines: 1
46
+ seed: 42
47
+ max_num_iterations: 20000
48
+ method_name: gnerf
49
+ mixed_precision: false
50
+ optimizers:
51
+ fields:
52
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
53
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
54
+ eps: 1.0e-15
55
+ lr: 0.01
56
+ max_norm: null
57
+ weight_decay: 1.0e-06
58
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
59
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
60
+ gamma: 0.33
61
+ max_steps: 20000
62
+ milestones: &id003 !!python/tuple
63
+ - 0.5
64
+ - 0.75
65
+ - 0.9
66
+ log_covs:
67
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
68
+ _target: *id001
69
+ eps: 1.0e-15
70
+ lr: 0.001
71
+ max_norm: null
72
+ weight_decay: 0
73
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
74
+ _target: *id002
75
+ gamma: 0.33
76
+ max_steps: 20000
77
+ milestones: *id003
78
+ means:
79
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
80
+ _target: *id001
81
+ eps: 1.0e-15
82
+ lr: 1.0e-05
83
+ max_norm: null
84
+ weight_decay: 0
85
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
86
+ _target: *id002
87
+ gamma: 0.33
88
+ max_steps: 20000
89
+ milestones: *id003
90
+ output_dir: !!python/object/apply:pathlib.PosixPath
91
+ - outputs
92
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
93
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
94
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
95
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
96
+ camera_optimizer: null
97
+ camera_res_scale_factor: 1.0
98
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
99
+ data: *id004
100
+ dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
101
+ _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
102
+ alpha_color: white
103
+ data: !!python/object/apply:pathlib.PosixPath
104
+ - data
105
+ - blender
106
+ - lego
107
+ ply_path: null
108
+ scale_factor: 1.0
109
+ eval_image_indices: !!python/tuple
110
+ - 0
111
+ eval_num_images_to_sample_from: -1
112
+ eval_num_rays_per_batch: 4096
113
+ eval_num_times_to_repeat_images: -1
114
+ images_on_gpu: false
115
+ masks_on_gpu: false
116
+ patch_size: 1
117
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
118
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
119
+ fisheye_crop_radius: null
120
+ ignore_mask: false
121
+ is_equirectangular: false
122
+ keep_full_image: false
123
+ max_num_iterations: 100
124
+ num_rays_per_batch: 4096
125
+ rejection_sample_mask: false
126
+ train_num_images_to_sample_from: -1
127
+ train_num_rays_per_batch: 4096
128
+ train_num_times_to_repeat_images: -1
129
+ max_num_samples_per_ray: 1024
130
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
131
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
132
+ alpha_thre: 0.0
133
+ appearance_embedding_dim: 32
134
+ background_color: white
135
+ collider_params: null
136
+ cone_angle: 0.0
137
+ densify: true
138
+ disable_scene_contraction: true
139
+ enable_collider: false
140
+ eval_num_rays_per_chunk: 8192
141
+ far_plane: 6.0
142
+ grid_resolution: 128
143
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
144
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
145
+ chi_squared_radius: 2.0
146
+ device: cuda
147
+ n_neighbours: 32
148
+ loss_coefficients:
149
+ rgb_loss_coarse: 1.0
150
+ rgb_loss_fine: 1.0
151
+ max_gb: 20
152
+ near_plane: 2.0
153
+ prompt: null
154
+ prune: true
155
+ render_step_size: 0.005
156
+ use_appearance_embedding: false
157
+ use_gradient_scaling: true
158
+ target_num_samples: 262144
159
+ project_name: nerfstudio-project
160
+ prompt: null
161
+ pruning_interval: 1000
162
+ pruning_start_step: 1000
163
+ pruning_stop_step: 15000
164
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
165
+ - nerfstudio_models
166
+ save_only_latest_checkpoint: true
167
+ steps_per_eval_all_images: 25000
168
+ steps_per_eval_batch: 500
169
+ steps_per_eval_image: 500
170
+ steps_per_save: 100
171
+ timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
172
+ use_grad_scaler: false
173
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
174
+ camera_frustum_scale: 0.1
175
+ default_composite_depth: true
176
+ image_format: jpeg
177
+ jpeg_quality: 75
178
+ make_share_url: false
179
+ max_num_display_images: 512
180
+ num_rays_per_chunk: 4096
181
+ quit_on_train_completion: true
182
+ relative_log_filename: viewer_log_filename.txt
183
+ websocket_host: 0.0.0.0
184
+ websocket_port: null
185
+ websocket_port_default: 7007
186
+ vis: viewer
configs/stump.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - stump
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: stump
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 4096
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 8192
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 2.0
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
+ pruning_interval: 1000
170
+ pruning_start_step: 1000
171
+ pruning_stop_step: 15000
172
+ relative_model_dir: !!python/object/apply:pathlib.PosixPath
173
+ - nerfstudio_models
174
+ save_only_latest_checkpoint: true
175
+ steps_per_eval_all_images: 25000
176
+ steps_per_eval_batch: 500
177
+ steps_per_eval_image: 500
178
+ steps_per_save: 100
179
+ timestamp: open_scenes_baseline
180
+ unfreeze_means_step: 500
181
+ use_grad_scaler: false
182
+ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
183
+ camera_frustum_scale: 0.1
184
+ default_composite_depth: true
185
+ image_format: jpeg
186
+ jpeg_quality: 75
187
+ make_share_url: false
188
+ max_num_display_images: 512
189
+ num_rays_per_chunk: 4096
190
+ quit_on_train_completion: false
191
+ relative_log_filename: viewer_log_filename.txt
192
+ websocket_host: 0.0.0.0
193
+ websocket_port: null
194
+ websocket_port_default: 7007
195
+ vis: viewer
configs/treehill.yml ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
2
+ _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
3
+ data: &id004 !!python/object/apply:pathlib.PosixPath
4
+ - data
5
+ - 360_v2
6
+ - treehill
7
+ denisification_interval: 100
8
+ densification_start_step: 100
9
+ densification_stop_step: 10000
10
+ experiment_name: treehill
11
+ freeze_means_step: 10000
12
+ gradient_accumulation_steps: {}
13
+ load_checkpoint: null
14
+ load_config: null
15
+ load_dir: null
16
+ load_scheduler: true
17
+ load_step: null
18
+ log_gradients: false
19
+ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
20
+ local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
21
+ _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
22
+ enable: true
23
+ max_log_size: 10
24
+ stats_to_track: !!python/tuple
25
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
26
+ - Train Iter (time)
27
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
28
+ - Train Rays / Sec
29
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
30
+ - Test PSNR
31
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
32
+ - Vis Rays / Sec
33
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
34
+ - Test Rays / Sec
35
+ - !!python/object/apply:nerfstudio.utils.writer.EventName
36
+ - ETA (time)
37
+ max_buffer_size: 20
38
+ profiler: basic
39
+ relative_log_dir: !!python/object/apply:pathlib.PosixPath []
40
+ steps_per_log: 10
41
+ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
42
+ device_type: cuda
43
+ dist_url: auto
44
+ machine_rank: 0
45
+ num_devices: 1
46
+ num_machines: 1
47
+ seed: 42
48
+ max_num_iterations: 20000
49
+ method_name: gnerf
50
+ mixed_precision: false
51
+ optimizers:
52
+ fields:
53
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
54
+ _target: &id001 !!python/name:torch.optim.adam.Adam ''
55
+ eps: 1.0e-15
56
+ lr: 0.01
57
+ max_norm: null
58
+ weight_decay: 1.0e-06
59
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
60
+ _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
61
+ gamma: 0.33
62
+ max_steps: 20000
63
+ milestones: &id003 !!python/tuple
64
+ - 0.5
65
+ - 0.75
66
+ - 0.9
67
+ log_covs:
68
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
69
+ _target: *id001
70
+ eps: 1.0e-15
71
+ lr: 0.001
72
+ max_norm: null
73
+ weight_decay: 0
74
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
75
+ _target: *id002
76
+ gamma: 0.33
77
+ max_steps: 20000
78
+ milestones: *id003
79
+ means:
80
+ optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
81
+ _target: *id001
82
+ eps: 1.0e-15
83
+ lr: 1.0e-05
84
+ max_norm: null
85
+ weight_decay: 0
86
+ scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
87
+ _target: *id002
88
+ gamma: 0.33
89
+ max_steps: 20000
90
+ milestones: *id003
91
+ output_dir: !!python/object/apply:pathlib.PosixPath
92
+ - outputs
93
+ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
94
+ _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
95
+ datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
96
+ _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
97
+ camera_optimizer: null
98
+ camera_res_scale_factor: 1.0
99
+ collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
100
+ data: *id004
101
+ dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
102
+ _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
103
+ auto_scale_poses: true
104
+ center_method: poses
105
+ data: !!python/object/apply:pathlib.PosixPath []
106
+ depth_unit_scale_factor: 0.001
107
+ downscale_factor: 4
108
+ eval_interval: 8
109
+ eval_mode: fraction
110
+ load_3D_points: true
111
+ mask_color: null
112
+ orientation_method: up
113
+ scale_factor: 1.0
114
+ scene_scale: 1.0
115
+ train_split_fraction: 0.9
116
+ eval_image_indices: !!python/tuple
117
+ - 0
118
+ eval_num_images_to_sample_from: -1
119
+ eval_num_rays_per_batch: 1024
120
+ eval_num_times_to_repeat_images: -1
121
+ images_on_gpu: false
122
+ masks_on_gpu: false
123
+ patch_size: 1
124
+ pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
125
+ _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
126
+ fisheye_crop_radius: null
127
+ ignore_mask: false
128
+ is_equirectangular: false
129
+ keep_full_image: false
130
+ max_num_iterations: 100
131
+ num_rays_per_batch: 4096
132
+ rejection_sample_mask: false
133
+ train_num_images_to_sample_from: -1
134
+ train_num_rays_per_batch: 4096
135
+ train_num_times_to_repeat_images: -1
136
+ max_num_samples_per_ray: 1024
137
+ model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
138
+ _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
139
+ alpha_thre: 0.0
140
+ appearance_embedding_dim: 32
141
+ background_color: random
142
+ collider_params: null
143
+ cone_angle: 0.00390625
144
+ densify: true
145
+ disable_scene_contraction: false
146
+ enable_collider: false
147
+ eval_num_rays_per_chunk: 2048
148
+ far_plane: 1000.0
149
+ grid_resolution: 128
150
+ knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
151
+ _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
152
+ chi_squared_radius: 2.0
153
+ device: cuda
154
+ n_neighbours: 16
155
+ loss_coefficients:
156
+ rgb_loss_coarse: 1.0
157
+ rgb_loss_fine: 1.0
158
+ max_gb: 20
159
+ near_plane: 0.0
160
+ prompt: null
161
+ prune: true
162
+ render_step_size: 0.005
163
+ unfreeze_means: true
164
+ use_appearance_embedding: false
165
+ use_gradient_scaling: true
166
+ target_num_samples: 262144
167
+ project_name: nerfstudio-project
168
+ prompt: null
169
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