sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected: payload batch 1/1
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +5 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/gaussian_data/session_20260921_225630_786148/observation.ply +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/gaussian_data/session_20260921_225630_786148/shape_prior.glb +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/hybrid/loader_smoke/session_20260921_225630_786148/points3D.ply +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/hybrid/populations.npz +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/inputs/observed_cloud.npz +3 -0
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- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/high_resolution.png +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/masked_image.png +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/matching/best_match.pkl +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/matching/best_match.png +3 -0
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- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/matching/pnp_results.png +3 -0
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- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/matching/raw_matching_valid.png +3 -0
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- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/upscale_input_crop.png +3 -0
- sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/shape/visualization.mp4 +3 -0
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sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/logs/align.log
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/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/tools/phystwin_u/data_process/utils/align_util.py:170: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
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camera_poses = torch.tensor(camera_poses, device=device)
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/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/tools/phystwin_u/data_process/models/superpoint.py:137: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
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self.load_state_dict(torch.load(str(path)))
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/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/tools/phystwin_u/data_process/models/superglue.py:226: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
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self.load_state_dict(torch.load(str(path)))
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total poses 192
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Running inference on device "cuda"
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Loaded SuperPoint model
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Loaded SuperGlue model ("indoor" weights)
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Will write matches to directory "/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/shape/matching"
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matched point number 23
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align: ok -> /mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/steps/align.json
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Init points from pcd...
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Init points from mesh...
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hybrid: ok -> /mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/steps/hybrid.json
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sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/logs/inputs.log
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inputs: ok -> /mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/steps/inputs.json
|
sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/logs/segment.log
ADDED
|
@@ -0,0 +1,7 @@
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|
| 1 |
+
UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3609.)
|
| 2 |
+
UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.)
|
| 3 |
+
UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants.
|
| 4 |
+
UserWarning: None of the inputs have requires_grad=True. Gradients will be None
|
| 5 |
+
final text_encoder_type: bert-base-uncased
|
| 6 |
+
Detected 1 objects
|
| 7 |
+
segment: ok -> /mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/steps/segment.json
|
sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/logs/tools.log
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
tools: ok -> /mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/steps/tools.json
|
sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/logs/trellis.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/logs/upscale.log
ADDED
|
@@ -0,0 +1,10 @@
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/mnt/data2/magna/belt_perception_agent_venvs/real_rgbd_appearance_generator/lib/python3.10/site-packages/xformers/ops/fmha/flash.py:211: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
|
| 2 |
+
@torch.library.impl_abstract("xformers_flash::flash_fwd")
|
| 3 |
+
/mnt/data2/magna/belt_perception_agent_venvs/real_rgbd_appearance_generator/lib/python3.10/site-packages/xformers/ops/fmha/flash.py:344: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
|
| 4 |
+
@torch.library.impl_abstract("xformers_flash::flash_bwd")
|
| 5 |
+
Couldn't connect to the Hub: Cannot reach https://huggingface.co/api/models/stabilityai/stable-diffusion-x4-upscaler: offline mode is enabled. To disable it, please unset the `HF_HUB_OFFLINE` environment variable..
|
| 6 |
+
Will try to load from local cache.
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upscale: ok -> /mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/appearance_20260925/steps/upscale.json
|
sessions/session_20260921_225630_786148/preprocessing/trellis-20260925-rejected/native/manifest.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"kind": "real_rgbd_appearance_inputs_v1",
|
| 3 |
+
"code": {
|
| 4 |
+
"commit": "85cb0e1e6a1797b17191e05a2467e99362c37235",
|
| 5 |
+
"tracked_changes": false
|
| 6 |
+
},
|
| 7 |
+
"steps": {
|
| 8 |
+
"align": {
|
| 9 |
+
"status": "ok",
|
| 10 |
+
"settings": {
|
| 11 |
+
"u_functions": [
|
| 12 |
+
"pose_selection_render_superglue",
|
| 13 |
+
"registration_pnp",
|
| 14 |
+
"registration_scale",
|
| 15 |
+
"deform_ARAP",
|
| 16 |
+
"get_matching_ray_registration",
|
| 17 |
+
"deform_ARAP_ray_registration",
|
| 18 |
+
"line_point_distance"
|
| 19 |
+
],
|
| 20 |
+
"camera_0": "12540311",
|
| 21 |
+
"fov_rad": 1.13519925374158,
|
| 22 |
+
"superglue_crop_box": [
|
| 23 |
+
716,
|
| 24 |
+
531,
|
| 25 |
+
1054,
|
| 26 |
+
869
|
| 27 |
+
],
|
| 28 |
+
"render_samples": {
|
| 29 |
+
"num_samples": 8,
|
| 30 |
+
"num_ups": 4
|
| 31 |
+
},
|
| 32 |
+
"pose_render_chunk": {
|
| 33 |
+
"A6": 16,
|
| 34 |
+
"u": "two halves",
|
| 35 |
+
"note": "result-identical; U's halves exceed 24 GB at 1080p"
|
| 36 |
+
},
|
| 37 |
+
"adaptations": {
|
| 38 |
+
"A2": "observation and ray registration over 4 views",
|
| 39 |
+
"A3": "+z-up table frame, table plane z = 0: vertices with z < 0 get target z = 0 and existing targets with z < 0 are set to z = 0 (U align.py:236-247: z > 0 in U's z-down world)",
|
| 40 |
+
"stop": "EPnP failure or reprojection error > 50.0 px"
|
| 41 |
+
},
|
| 42 |
+
"table_constraint_source": "def deform_ARAP_ray_registration_z_up(deform_kp_mesh_world, obs_points_world, mesh, trimesh_indices, c2ws, w2cs, mesh_points_indices, matching_points):\n final_indices = []\n final_targets = []\n for (index, target) in zip(mesh_points_indices, matching_points):\n if index not in final_indices:\n final_indices.append(index)\n final_targets.append(target)\n for (c2w, w2c) in zip(c2ws, w2cs):\n (new_indices, new_targets) = get_matching_ray_registration(deform_kp_mesh_world, obs_points_world, mesh, trimesh_indices, c2w, w2c)\n for (index, target) in zip(new_indices, new_targets):\n if index not in final_indices:\n final_indices.append(index)\n final_targets.append(target)\n indices = np.where(np.asarray(deform_kp_mesh_world.vertices)[:, 2] < 0)[0]\n for index in indices:\n if index not in final_indices:\n final_indices.append(index)\n target = np.asarray(deform_kp_mesh_world.vertices)[index].copy()\n target[2] = 0\n final_targets.append(target)\n else:\n target = final_targets[final_indices.index(index)]\n if target[2] < 0:\n target[2] = 0\n final_targets[final_indices.index(index)] = target\n final_mesh_world = deform_kp_mesh_world.deform_as_rigid_as_possible(o3d.utility.IntVector(final_indices), o3d.utility.Vector3dVector(final_targets), max_iter=1)\n return final_mesh_world"
|
| 43 |
+
},
|
| 44 |
+
"outputs": {
|
| 45 |
+
"camera_views": 4,
|
| 46 |
+
"superglue_matches": 23,
|
| 47 |
+
"matches_with_render_depth": 22,
|
| 48 |
+
"pnp_stdout": "Reprojection Error: 24.866069793701172\n",
|
| 49 |
+
"reprojection_error_px": 24.866069793701172,
|
| 50 |
+
"reprojection_error_px_recomputed": 24.866068690492238,
|
| 51 |
+
"mesh2raw_camera": [
|
| 52 |
+
[
|
| 53 |
+
-0.13201536238193512,
|
| 54 |
+
0.13815650343894958,
|
| 55 |
+
-0.9815725684165955,
|
| 56 |
+
-0.221650630235672
|
| 57 |
+
],
|
| 58 |
+
[
|
| 59 |
+
-0.7237970232963562,
|
| 60 |
+
0.6631422638893127,
|
| 61 |
+
0.19068355858325958,
|
| 62 |
+
0.46802905201911926
|
| 63 |
+
],
|
| 64 |
+
[
|
| 65 |
+
0.6772664785385132,
|
| 66 |
+
0.7356324195861816,
|
| 67 |
+
0.012452293187379837,
|
| 68 |
+
3.402017116546631
|
| 69 |
+
],
|
| 70 |
+
[
|
| 71 |
+
0.0,
|
| 72 |
+
0.0,
|
| 73 |
+
0.0,
|
| 74 |
+
1.0
|
| 75 |
+
]
|
| 76 |
+
],
|
| 77 |
+
"scale": 0.3308327941237785,
|
| 78 |
+
"mesh2world": [
|
| 79 |
+
[
|
| 80 |
+
-0.07186187887948906,
|
| 81 |
+
-0.11525124003819358,
|
| 82 |
+
0.30166762890537135,
|
| 83 |
+
0.01994529661898209
|
| 84 |
+
],
|
| 85 |
+
[
|
| 86 |
+
-0.32030178583744123,
|
| 87 |
+
0.06481407185048613,
|
| 88 |
+
-0.05153878272990857,
|
| 89 |
+
-0.11787360743171288
|
| 90 |
+
],
|
| 91 |
+
[
|
| 92 |
+
-0.041145858351500114,
|
| 93 |
+
-0.3032599852921547,
|
| 94 |
+
-0.12566117817886205,
|
| 95 |
+
0.005040336204085394
|
| 96 |
+
],
|
| 97 |
+
[
|
| 98 |
+
0.0,
|
| 99 |
+
0.0,
|
| 100 |
+
0.0,
|
| 101 |
+
1.0
|
| 102 |
+
]
|
| 103 |
+
],
|
| 104 |
+
"observed_points": 25699,
|
| 105 |
+
"select_point_distance_px": [
|
| 106 |
+
0.0,
|
| 107 |
+
0.0,
|
| 108 |
+
1.0,
|
| 109 |
+
0.0,
|
| 110 |
+
0.0,
|
| 111 |
+
0.0,
|
| 112 |
+
0.0,
|
| 113 |
+
0.0,
|
| 114 |
+
0.0,
|
| 115 |
+
0.0,
|
| 116 |
+
0.0,
|
| 117 |
+
0.0,
|
| 118 |
+
0.0,
|
| 119 |
+
0.0,
|
| 120 |
+
0.0,
|
| 121 |
+
1.0,
|
| 122 |
+
0.0,
|
| 123 |
+
0.0,
|
| 124 |
+
0.0,
|
| 125 |
+
0.0,
|
| 126 |
+
0.0,
|
| 127 |
+
1.0
|
| 128 |
+
],
|
| 129 |
+
"keypoint_arap_vertices": 22,
|
| 130 |
+
"ray_registration_targets_per_camera": [
|
| 131 |
+
511,
|
| 132 |
+
492,
|
| 133 |
+
500,
|
| 134 |
+
490
|
| 135 |
+
],
|
| 136 |
+
"table_constraint": "+z-up table frame, table plane z = 0: vertices with z < 0 get target z = 0 and existing targets with z < 0 are set to z = 0 (U align.py:236-247: z > 0 in U's z-down world)",
|
| 137 |
+
"table_constraint_expressions": [
|
| 138 |
+
"np.asarray(deform_kp_mesh_world.vertices)[:, 2] < 0",
|
| 139 |
+
"target[2] < 0"
|
| 140 |
+
],
|
| 141 |
+
"vertices_below_table_before_final_arap": 131,
|
| 142 |
+
"final_z_of_those_min_max": [
|
| 143 |
+
0.0,
|
| 144 |
+
0.016532567473426574
|
| 145 |
+
],
|
| 146 |
+
"final_vertices_z_min_max": [
|
| 147 |
+
0.0,
|
| 148 |
+
0.0324962700927095
|
| 149 |
+
],
|
| 150 |
+
"vertex_displacement_rigid_to_final_m": {
|
| 151 |
+
"median": 0.045541693053166674,
|
| 152 |
+
"p95": 0.07250096578601405,
|
| 153 |
+
"max": 0.08068400529857173
|
| 154 |
+
},
|
| 155 |
+
"final_mesh_glb": {
|
| 156 |
+
"vertices": 1304,
|
| 157 |
+
"faces": 1602,
|
| 158 |
+
"merged_vertices": 740,
|
| 159 |
+
"boundary_edges": 0,
|
| 160 |
+
"euler_characteristic": 74,
|
| 161 |
+
"watertight": false,
|
| 162 |
+
"components": 89,
|
| 163 |
+
"bounds": [
|
| 164 |
+
[
|
| 165 |
+
-0.08716525137424469,
|
| 166 |
+
-0.26812148094177246,
|
| 167 |
+
0.0
|
| 168 |
+
],
|
| 169 |
+
[
|
| 170 |
+
0.11660343408584595,
|
| 171 |
+
-0.006729745771735907,
|
| 172 |
+
0.032496269792318344
|
| 173 |
+
]
|
| 174 |
+
],
|
| 175 |
+
"extents": [
|
| 176 |
+
0.20376868546009064,
|
| 177 |
+
0.26139173517003655,
|
| 178 |
+
0.032496269792318344
|
| 179 |
+
],
|
| 180 |
+
"texture_size_wh": [
|
| 181 |
+
1024,
|
| 182 |
+
1024
|
| 183 |
+
]
|
| 184 |
+
},
|
| 185 |
+
"files": {
|
| 186 |
+
"shape/matching/best_match.pkl": "6a129fbd967d36372322cbecca0ae1839ac4b49362aa7063cd9c715219688a51",
|
| 187 |
+
"shape/matching/final_mesh.glb": "24e7b5a318409512be3234dbea4f9937c7e2c9294093a22f7ab1f2a88017f763",
|
| 188 |
+
"shape/matching/registration_arrays.npz": "c39eac2b198dcf6a45b690cadeecaf988534f1a3da7bfe84537f4478539df0a5",
|
| 189 |
+
"gaussian_data/session_20260921_225630_786148/shape_prior.glb": "24e7b5a318409512be3234dbea4f9937c7e2c9294093a22f7ab1f2a88017f763"
|
| 190 |
+
}
|
| 191 |
+
},
|
| 192 |
+
"process_environment": {
|
| 193 |
+
"HF_HOME": "/mnt/data2/magna/belt_perception/third_party/phystwin_external/huggingface",
|
| 194 |
+
"HUGGINGFACE_HUB_CACHE": "/mnt/data2/magna/belt_perception/third_party/phystwin_external/huggingface/hub",
|
| 195 |
+
"HF_HUB_OFFLINE": "1",
|
| 196 |
+
"TRANSFORMERS_OFFLINE": "1",
|
| 197 |
+
"TORCH_HOME": "/mnt/data2/magna/belt_perception/third_party/phystwin_external/torch_hub",
|
| 198 |
+
"ATTN_BACKEND": "xformers",
|
| 199 |
+
"SPCONV_ALGO": "native",
|
| 200 |
+
"MPLBACKEND": "Agg"
|
| 201 |
+
},
|
| 202 |
+
"code": {
|
| 203 |
+
"commit": "85cb0e1e6a1797b17191e05a2467e99362c37235",
|
| 204 |
+
"tracked_changes": false
|
| 205 |
+
},
|
| 206 |
+
"wall_time_s": 25.34120774269104
|
| 207 |
+
},
|
| 208 |
+
"hybrid": {
|
| 209 |
+
"status": "ok",
|
| 210 |
+
"settings": {
|
| 211 |
+
"loader": "gaussian_splatting/scene/dataset_readers.py::readQQTTSceneInfo",
|
| 212 |
+
"options": {
|
| 213 |
+
"use_masks": true,
|
| 214 |
+
"gs_init_opt": "hybrid",
|
| 215 |
+
"pts_per_triangles": 30,
|
| 216 |
+
"use_high_res": false,
|
| 217 |
+
"np_random_seed_before_loading": 0
|
| 218 |
+
}
|
| 219 |
+
},
|
| 220 |
+
"outputs": {
|
| 221 |
+
"train_cameras": [
|
| 222 |
+
{
|
| 223 |
+
"image_name": "cam0",
|
| 224 |
+
"width_height_loader": [
|
| 225 |
+
848,
|
| 226 |
+
480
|
| 227 |
+
],
|
| 228 |
+
"image_size": [
|
| 229 |
+
1920,
|
| 230 |
+
1080
|
| 231 |
+
],
|
| 232 |
+
"image_mode": "RGBA",
|
| 233 |
+
"K": [
|
| 234 |
+
[
|
| 235 |
+
1505.6763916015625,
|
| 236 |
+
0.0,
|
| 237 |
+
975.8055419921875
|
| 238 |
+
],
|
| 239 |
+
[
|
| 240 |
+
0.0,
|
| 241 |
+
1505.6763916015625,
|
| 242 |
+
520.247314453125
|
| 243 |
+
],
|
| 244 |
+
[
|
| 245 |
+
0.0,
|
| 246 |
+
0.0,
|
| 247 |
+
1.0
|
| 248 |
+
]
|
| 249 |
+
],
|
| 250 |
+
"depth_shape": [
|
| 251 |
+
1080,
|
| 252 |
+
1920
|
| 253 |
+
],
|
| 254 |
+
"occ_mask_equals_dilate8_png": true
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"image_name": "cam1",
|
| 258 |
+
"width_height_loader": [
|
| 259 |
+
848,
|
| 260 |
+
480
|
| 261 |
+
],
|
| 262 |
+
"image_size": [
|
| 263 |
+
1920,
|
| 264 |
+
1080
|
| 265 |
+
],
|
| 266 |
+
"image_mode": "RGBA",
|
| 267 |
+
"K": [
|
| 268 |
+
[
|
| 269 |
+
1485.1876220703125,
|
| 270 |
+
0.0,
|
| 271 |
+
1016.4954833984375
|
| 272 |
+
],
|
| 273 |
+
[
|
| 274 |
+
0.0,
|
| 275 |
+
1485.1876220703125,
|
| 276 |
+
529.3933715820312
|
| 277 |
+
],
|
| 278 |
+
[
|
| 279 |
+
0.0,
|
| 280 |
+
0.0,
|
| 281 |
+
1.0
|
| 282 |
+
]
|
| 283 |
+
],
|
| 284 |
+
"depth_shape": [
|
| 285 |
+
1080,
|
| 286 |
+
1920
|
| 287 |
+
],
|
| 288 |
+
"occ_mask_equals_dilate8_png": true
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"image_name": "cam2",
|
| 292 |
+
"width_height_loader": [
|
| 293 |
+
848,
|
| 294 |
+
480
|
| 295 |
+
],
|
| 296 |
+
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|
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|
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"marker": "/mnt/data2/magna/belt_perception_agent_venvs/real_rgbd_appearance_generator/real_rgbd_appearance_env.json",
|
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"kind": "real_rgbd_appearance_generator_env",
|
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},
|
| 631 |
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"build": {
|
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|
| 633 |
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"TORCH_CUDA_ARCH_LIST": "8.9",
|
| 634 |
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|
| 635 |
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},
|
| 636 |
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|
| 637 |
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|
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|
| 639 |
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|
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|
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|
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|
| 643 |
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|
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|
| 645 |
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|
| 646 |
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|
| 647 |
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|
| 648 |
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|
| 649 |
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|
| 650 |
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|
| 651 |
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|
| 652 |
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|
| 653 |
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|
| 654 |
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|
| 655 |
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|
| 656 |
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|
| 657 |
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|
| 658 |
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|
| 659 |
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|
| 660 |
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|
| 661 |
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|
| 662 |
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|
| 663 |
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|
| 664 |
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|
| 665 |
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|
| 666 |
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|
| 667 |
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|
| 668 |
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|
| 669 |
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|
| 670 |
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|
| 671 |
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|
| 672 |
+
"deprecated==1.3.1",
|
| 673 |
+
"diff-gaussian-rasterization @ file:///mnt/data2/magna/belt_perception_agent_venvs/real_rgbd_appearance_generator/src/mip-splatting/submodules/diff-gaussian-rasterization",
|
| 674 |
+
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|
| 675 |
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|
| 676 |
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|
| 677 |
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|
| 678 |
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|
| 679 |
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|
| 680 |
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|
| 681 |
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|
| 682 |
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|
| 683 |
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|
| 684 |
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|
| 685 |
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|
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|
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|
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|
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|
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|
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|
| 692 |
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|
| 693 |
+
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|
| 694 |
+
"glcontext==3.0.0",
|
| 695 |
+
"-e file:///mnt/data2/magna/belt_perception_agent_venvs/real_rgbd_appearance_generator/src/Grounded-SAM-2/grounding_dino",
|
| 696 |
+
"gsplat==1.4.0",
|
| 697 |
+
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|
| 698 |
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|
| 699 |
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|
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|
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|
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|
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|
| 704 |
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|
| 705 |
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|
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|
| 707 |
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|
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|
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|
| 710 |
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|
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|
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|
| 713 |
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|
| 714 |
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|
| 715 |
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|
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|
| 717 |
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|
| 718 |
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|
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
+
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|
| 724 |
+
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|
| 725 |
+
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|
| 726 |
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|
| 727 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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|
| 731 |
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|
| 732 |
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|
| 733 |
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|
| 734 |
+
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|
| 735 |
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|
| 736 |
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|
| 737 |
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|
| 738 |
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|
| 739 |
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|
| 740 |
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|
| 741 |
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|
| 742 |
+
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|
| 743 |
+
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|
| 744 |
+
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|
| 745 |
+
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|
| 746 |
+
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|
| 747 |
+
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|
| 748 |
+
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|
| 749 |
+
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|
| 750 |
+
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|
| 751 |
+
"matplotlib==3.10.9",
|
| 752 |
+
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|
| 753 |
+
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|
| 754 |
+
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|
| 755 |
+
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|
| 756 |
+
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|
| 757 |
+
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|
| 758 |
+
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|
| 759 |
+
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|
| 760 |
+
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|
| 761 |
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|
| 762 |
+
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|
| 763 |
+
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|
| 764 |
+
"nest-asyncio==1.6.0",
|
| 765 |
+
"nest-asyncio2==1.7.2",
|
| 766 |
+
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|
| 767 |
+
"ninja==1.13.0",
|
| 768 |
+
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|
| 769 |
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|
| 770 |
+
"numba==0.65.1",
|
| 771 |
+
"numpy==1.26.4",
|
| 772 |
+
"nvdiffrast @ file:///mnt/data2/magna/belt_perception_agent_venvs/real_rgbd_appearance_generator/src/nvdiffrast",
|
| 773 |
+
"nvidia-cublas-cu12==12.1.3.1",
|
| 774 |
+
"nvidia-cuda-cupti-cu12==12.1.105",
|
| 775 |
+
"nvidia-cuda-nvrtc-cu12==12.1.105",
|
| 776 |
+
"nvidia-cuda-runtime-cu12==12.1.105",
|
| 777 |
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|
| 778 |
+
"nvidia-cufft-cu12==11.0.2.54",
|
| 779 |
+
"nvidia-curand-cu12==10.3.2.106",
|
| 780 |
+
"nvidia-cusolver-cu12==11.4.5.107",
|
| 781 |
+
"nvidia-cusparse-cu12==12.1.0.106",
|
| 782 |
+
"nvidia-nccl-cu12==2.20.5",
|
| 783 |
+
"nvidia-nvjitlink-cu12==12.9.86",
|
| 784 |
+
"nvidia-nvtx-cu12==12.1.105",
|
| 785 |
+
"omegaconf==2.3.1",
|
| 786 |
+
"onnxruntime==1.23.2",
|
| 787 |
+
"open3d==0.19.0",
|
| 788 |
+
"opencv-python==4.11.0.86",
|
| 789 |
+
"opencv-python-headless==4.13.0.92",
|
| 790 |
+
"overrides==7.7.0",
|
| 791 |
+
"packaging==26.2",
|
| 792 |
+
"pandas==2.3.3",
|
| 793 |
+
"pandocfilters==1.5.1",
|
| 794 |
+
"parso==0.8.7",
|
| 795 |
+
"pccm==0.4.16",
|
| 796 |
+
"pexpect==4.9.0",
|
| 797 |
+
"pillow==12.2.0",
|
| 798 |
+
"platformdirs==4.10.0",
|
| 799 |
+
"plotly==6.8.0",
|
| 800 |
+
"pluggy==1.6.0",
|
| 801 |
+
"plyfile==1.1.3",
|
| 802 |
+
"pooch==1.9.0",
|
| 803 |
+
"portalocker==3.2.0",
|
| 804 |
+
"proglog==0.1.12",
|
| 805 |
+
"prometheus-client==0.25.0",
|
| 806 |
+
"prompt-toolkit==3.0.52",
|
| 807 |
+
"protobuf==7.35.0",
|
| 808 |
+
"psutil==7.2.2",
|
| 809 |
+
"ptyprocess==0.7.0",
|
| 810 |
+
"pure-eval==0.2.3",
|
| 811 |
+
"pyarrow==24.0.0",
|
| 812 |
+
"pybind11==3.0.4",
|
| 813 |
+
"pycocotools==2.0.11",
|
| 814 |
+
"pycparser==3.0",
|
| 815 |
+
"pydantic==2.13.4",
|
| 816 |
+
"pydantic-core==2.46.4",
|
| 817 |
+
"pydantic-settings==2.14.2",
|
| 818 |
+
"pydeprecate==0.9.0",
|
| 819 |
+
"pyglet==1.5.31",
|
| 820 |
+
"pygltflib==1.16.5",
|
| 821 |
+
"pygments==2.20.0",
|
| 822 |
+
"pyjwt==2.13.0",
|
| 823 |
+
"pymatting==1.1.15",
|
| 824 |
+
"pymeshfix==0.18.1",
|
| 825 |
+
"pynput==1.8.2",
|
| 826 |
+
"pyopengl==3.1.0",
|
| 827 |
+
"pyparsing==3.3.2",
|
| 828 |
+
"pyquaternion==0.9.9",
|
| 829 |
+
"pyrender==0.1.45",
|
| 830 |
+
"pytest==9.1.1",
|
| 831 |
+
"python-dateutil==2.9.0.post0",
|
| 832 |
+
"python-dotenv==1.2.2",
|
| 833 |
+
"python-json-logger==4.1.0",
|
| 834 |
+
"python-multipart==0.0.32",
|
| 835 |
+
"python-xlib==0.33",
|
| 836 |
+
"pytorch3d @ https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py310_cu121_pyt240/pytorch3d-0.7.8-cp310-cp310-linux_x86_64.whl",
|
| 837 |
+
"pytz==2026.2",
|
| 838 |
+
"pyvista==0.48.4",
|
| 839 |
+
"pyyaml==6.0.3",
|
| 840 |
+
"pyzmq==27.1.0",
|
| 841 |
+
"referencing==0.37.0",
|
| 842 |
+
"regex==2026.5.9",
|
| 843 |
+
"rembg==2.0.69",
|
| 844 |
+
"requests==2.34.2",
|
| 845 |
+
"retrying==1.4.2",
|
| 846 |
+
"rfc3339-validator==0.1.4",
|
| 847 |
+
"rfc3986-validator==0.1.1",
|
| 848 |
+
"rfc3987-syntax==1.1.0",
|
| 849 |
+
"rich==15.0.0",
|
| 850 |
+
"rich-rst==2.0.2",
|
| 851 |
+
"rpds-py==0.30.0",
|
| 852 |
+
"rtree==1.4.1",
|
| 853 |
+
"safetensors==0.8.0",
|
| 854 |
+
"-e file:///mnt/data2/magna/belt_perception_agent_venvs/real_rgbd_appearance_generator/src/Grounded-SAM-2",
|
| 855 |
+
"scikit-image==0.25.2",
|
| 856 |
+
"scikit-learn==1.7.2",
|
| 857 |
+
"scipy==1.15.3",
|
| 858 |
+
"scooby==0.11.2",
|
| 859 |
+
"send2trash==2.1.0",
|
| 860 |
+
"sentry-sdk==2.62.0",
|
| 861 |
+
"setuptools==82.0.1",
|
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