File size: 19,318 Bytes
4b6144c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 | {
"scene_name": "AK_308",
"dataset_path": "/workspace/AK_308",
"total_combinations": 33,
"timestamp": "2026-04-13T18:01:34.606006",
"results": [
{
"combination": "original",
"status": "failed",
"training_time": 41.13018465042114,
"error": "Command '['python', 'train.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_original', '--eval']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:37:59.008724"
},
{
"combination": "normals_depths_planarity_meshes_edges",
"status": "failed",
"training_time": 44.012619733810425,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths_planarity_meshes_edges', '--eval', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:38:43.021816"
},
{
"combination": "normals_depths_planarity_meshes",
"status": "failed",
"training_time": 44.071380615234375,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths_planarity_meshes', '--eval', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:39:27.093563"
},
{
"combination": "normals_depths_planarity_edges",
"status": "failed",
"training_time": 44.292694330215454,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths_planarity_edges', '--eval', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:40:11.386638"
},
{
"combination": "normals_depths_planarity",
"status": "failed",
"training_time": 43.992727756500244,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths_planarity', '--eval']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:40:55.379853"
},
{
"combination": "normals_depths_meshes_edges",
"status": "failed",
"training_time": 45.01906609535217,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths_meshes_edges', '--eval', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:41:40.399308"
},
{
"combination": "normals_depths_meshes",
"status": "failed",
"training_time": 43.1317412853241,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths_meshes', '--eval', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:42:23.531431"
},
{
"combination": "normals_depths_edges",
"status": "failed",
"training_time": 44.26834154129028,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths_edges', '--eval', '--disable_planar', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:43:07.800159"
},
{
"combination": "normals_depths",
"status": "failed",
"training_time": 44.16501021385193,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_depths', '--eval', '--disable_planar']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:43:51.965552"
},
{
"combination": "normals_planarity_meshes_edges",
"status": "failed",
"training_time": 44.58131766319275,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_planarity_meshes_edges', '--eval', '--disable_depth_prior', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:44:36.547094"
},
{
"combination": "normals_planarity_meshes",
"status": "failed",
"training_time": 43.74604249000549,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_planarity_meshes', '--eval', '--disable_depth_prior', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:45:20.293516"
},
{
"combination": "normals_planarity_edges",
"status": "failed",
"training_time": 44.91819477081299,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_planarity_edges', '--eval', '--disable_depth_prior', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:46:05.212102"
},
{
"combination": "normals_planarity",
"status": "failed",
"training_time": 43.503014087677,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_planarity', '--eval', '--disable_depth_prior']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:46:48.715515"
},
{
"combination": "normals_meshes_edges",
"status": "failed",
"training_time": 45.09487462043762,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_meshes_edges', '--eval', '--disable_depth_prior', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:47:33.810883"
},
{
"combination": "normals_meshes",
"status": "failed",
"training_time": 44.32359766960144,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_meshes', '--eval', '--disable_depth_prior', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:48:18.134859"
},
{
"combination": "normals_edges",
"status": "failed",
"training_time": 44.6885826587677,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals_edges', '--eval', '--disable_depth_prior', '--disable_planar', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:49:02.823830"
},
{
"combination": "normals",
"status": "failed",
"training_time": 44.37385678291321,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_normals', '--eval', '--disable_depth_prior', '--disable_planar']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:49:47.198053"
},
{
"combination": "depths_planarity_meshes_edges",
"status": "failed",
"training_time": 44.61586880683899,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths_planarity_meshes_edges', '--eval', '--disable_normal_prior', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:50:31.814301"
},
{
"combination": "depths_planarity_meshes",
"status": "failed",
"training_time": 44.62495040893555,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths_planarity_meshes', '--eval', '--disable_normal_prior', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:51:16.439450"
},
{
"combination": "depths_planarity_edges",
"status": "failed",
"training_time": 44.153517961502075,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths_planarity_edges', '--eval', '--disable_normal_prior', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:52:00.593359"
},
{
"combination": "depths_planarity",
"status": "failed",
"training_time": 44.71642351150513,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths_planarity', '--eval', '--disable_normal_prior']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:52:45.310156"
},
{
"combination": "depths_meshes_edges",
"status": "failed",
"training_time": 44.390300273895264,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths_meshes_edges', '--eval', '--disable_normal_prior', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:53:29.700852"
},
{
"combination": "depths_meshes",
"status": "failed",
"training_time": 44.50657820701599,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths_meshes', '--eval', '--disable_normal_prior', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:54:14.207812"
},
{
"combination": "depths_edges",
"status": "failed",
"training_time": 44.423250675201416,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths_edges', '--eval', '--disable_normal_prior', '--disable_planar', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:54:58.631442"
},
{
"combination": "depths",
"status": "failed",
"training_time": 43.66482090950012,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_depths', '--eval', '--disable_normal_prior', '--disable_planar']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:55:42.296589"
},
{
"combination": "planarity_meshes_edges",
"status": "failed",
"training_time": 44.636115074157715,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_planarity_meshes_edges', '--eval', '--disable_normal_prior', '--disable_depth_prior', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:56:26.933096"
},
{
"combination": "planarity_meshes",
"status": "failed",
"training_time": 43.914698123931885,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_planarity_meshes', '--eval', '--disable_normal_prior', '--disable_depth_prior', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:57:10.848171"
},
{
"combination": "planarity_edges",
"status": "failed",
"training_time": 43.66894745826721,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_planarity_edges', '--eval', '--disable_normal_prior', '--disable_depth_prior', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:57:54.517528"
},
{
"combination": "planarity",
"status": "failed",
"training_time": 44.23139953613281,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_planarity', '--eval', '--disable_normal_prior', '--disable_depth_prior']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:58:38.749303"
},
{
"combination": "meshes_edges",
"status": "failed",
"training_time": 43.57868933677673,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_meshes_edges', '--eval', '--disable_normal_prior', '--disable_depth_prior', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T17:59:22.328389"
},
{
"combination": "meshes",
"status": "failed",
"training_time": 44.12959909439087,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_meshes', '--eval', '--disable_normal_prior', '--disable_depth_prior', '--disable_planar', '--mesh_regularization', '--extract_mesh', '--voxel_size', '0.02', '--max_depth', '100.0', '--lambda_mesh_dist', '0.01', '--lambda_mesh_normal', '0.01']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T18:00:06.458394"
},
{
"combination": "edges",
"status": "failed",
"training_time": 43.56088304519653,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_edges', '--eval', '--disable_normal_prior', '--disable_depth_prior', '--disable_planar', '--enable_edge_aware', '--enable_density_modulation', '--edge_split_boost', '1.5', '--center_split_reduce', '0.7', '--s_min', '1.0', '--s_max', '2.0', '--lambda_center_scale', '0.1', '--center_prune_scale_factor', '0.8']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T18:00:50.019690"
},
{
"combination": "baseline",
"status": "failed",
"training_time": 44.58588409423828,
"error": "Command '['python', 'train_opposite.py', '-s', '/workspace/AK_308', '-m', '/workspace/PlanarGS/outputs/AK_308_baseline', '--eval', '--disable_normal_prior', '--disable_depth_prior', '--disable_planar']' returned non-zero exit status 1.",
"timestamp": "2026-04-13T18:01:34.605939"
}
]
} |