paulkry · NoginaDaria · Jul 22, 2025 · Jul 23, 2025 · Jul 23, 2025 · Jul 23, 2025
diff --git a/artifacts/deepsdf_2d.pth b/artifacts/deepsdf_2d.pth
diff --git a/artifacts/deepsdf_2d_unit_init.pth b/artifacts/deepsdf_2d_unit_init.pth
diff --git a/artifacts/experiment_20250717_115709/data_processing_results.txt b/artifacts/experiment_20250717_115709/data_processing_results.txt
diff --git a/artifacts/experiment_20250717_115709/model_architecture.txt b/artifacts/experiment_20250717_115709/model_architecture.txt
diff --git a/artifacts/experiment_20250717_115709/pipeline_summary.txt b/artifacts/experiment_20250717_115709/pipeline_summary.txt
diff --git a/artifacts/experiment_20250717_115709/trained_model_20250717_115714_val0.003175.pt b/artifacts/experiment_20250717_115709/trained_model_20250717_115714_val0.003175.pt
diff --git a/artifacts/experiment_20250717_115709/trained_model_20250717_115714_val0.003175_metadata.txt b/artifacts/experiment_20250717_115709/trained_model_20250717_115714_val0.003175_metadata.txt
diff --git a/artifacts/experiment_20250717_115709/training_results.txt b/artifacts/experiment_20250717_115709/training_results.txt
diff --git a/artifacts/experiment_20250717_115709/training_results_loss_plot.png b/artifacts/experiment_20250717_115709/training_results_loss_plot.png
diff --git a/artifacts/lip-10.pth b/artifacts/lip-10.pth
diff --git a/artifacts/lip-5_2d.pth b/artifacts/lip-5_2d.pth
diff --git a/artifacts/lip-6.pth b/artifacts/lip-6.pth
diff --git a/artifacts/lip-6_2d.pth b/artifacts/lip-6_2d.pth
diff --git a/artifacts/lip-8.pth b/artifacts/lip-8.pth
diff --git a/config/config_examples.yaml b/config/config_examples.yaml
@@ -1,4 +1,4 @@
-home: &home_path /Users/marina.levay/Documents/GitHub/topology-control # all other paths are relative to home
+home: &home_path /homes/dnogina/code/topology-control # all other paths are relative to home
 
 artifacts_config:
   save_artifacts_to: artifacts 
@@ -9,15 +9,15 @@ processor_config:
     raw: &raw_data_path data/raw 
     processed: &processed_data_path data/processed 
 
-  train_val_split: 0.8
+  train_val_split: .99
 
   # Updated point cloud params to match your notebook
   point_cloud_params:
     radius: 0.02
     sigma: 0.02  # Match your notebook's sigma = radius
     mu: 0.0
     n_gaussian: 5  # N = 10 from your notebook
-    n_uniform: 10000  # NUM_SAMPLES = 10000 from your notebook
+    n_uniform: 50000  # NUM_SAMPLES = 10000 from your notebook
 
   # Volume processor params for SDF generation
   volume_processor_params:
@@ -26,28 +26,29 @@ processor_config:
 
 model_config:
   skip_building: false
-  model_name: deepsdf
+  model_name: deepsdf #lipschitz_deepsdf #deepsdf
   # DeepSDF specific parameters matching your notebook
-  z_dim: 16  # Z_DIM = 16 from your notebook
-  layer_size: 64  # HIDDEN_DIM = 64 from your notebook
+  z_dim: 1 #16  # Z_DIM = 16 from your notebook
+  layer_size: 256  # HIDDEN_DIM = 64 from your notebook
   coord_dim: 3  # 3D coordinates
   dropout_p: 0.2  # Match your notebook's dropout_p = 0.2
 
 trainer_config:
   skip_training: false
   processed_data_path: *processed_data_path
-  dataset_type: sdf  # Important: specify SDF dataset type
+  dataset_type: sdf #lipschitz_sdf  #sdf 
+  lipschitz_lambda: 0.00001
   loss_function: deepsdf  # Use custom DeepSDF loss
   optimizer: adam
   network_learning_rate: 0.001  # lr=1e-3 from your notebook
-  latent_learning_rate: 0.01
+  latent_learning_rate: 0 #0.01
   batch_size: 8  # BATCH_SIZE = 16 from your notebook
   num_epochs: 1000  # max_epochs=20 from your notebook
-  max_points: 15000  # Allow more points for better SDF learning
+  max_points: 300000  # Allow more points for better SDF learning
 
   # DeepSDF specific training parameters
   sdf_delta: 1.0  # DELTA = 1.0 from your notebook
-  latent_sd: 0.01  # LATENT_SD = 0.01 from your notebook
+  latent_sd: .01
   latent_mean: 0.0  # LATENT_MEAN = 0 from your notebook
 
   # SDF Dataset configuration - ensure dataset_info is available
@@ -61,10 +62,10 @@ trainer_config:
   # Model saving
   save_model: true
   save_best_only: true
-  save_frequency: 5
+  save_frequency: 20
 
 evaluator_config:
-  skip_evaluation: false
+  skip_evaluation: true
   # Evaluation specific configs for mesh extraction
   batch_size: 8
   resolution: 50  # Match training resolution for mesh extraction

diff --git a/data/_processed/train/bimba_sampled_points.npy b/data/_processed/train/bimba_sampled_points.npy
diff --git a/data/_processed/train/bimba_signed_distances.npy b/data/_processed/train/bimba_signed_distances.npy
diff --git a/data/_processed/train/bunny_sampled_points.npy b/data/_processed/train/bunny_sampled_points.npy
diff --git a/data/_processed/train/bunny_signed_distances.npy b/data/_processed/train/bunny_signed_distances.npy
diff --git a/data/_processed/train/cup_sampled_points.npy b/data/_processed/train/cup_sampled_points.npy
diff --git a/data/_processed/train/cup_signed_distances.npy b/data/_processed/train/cup_signed_distances.npy
diff --git a/data/_processed/train/torus_sampled_points.npy b/data/_processed/train/torus_sampled_points.npy
diff --git a/data/_processed/train/torus_signed_distances.npy b/data/_processed/train/torus_signed_distances.npy
diff --git a/data/raw/bimba.obj → data/bimba.obj b/data/raw/bimba.obj → data/bimba.obj
diff --git a/data/raw/bunny.obj → data/bunny.obj b/data/raw/bunny.obj → data/bunny.obj
diff --git a/data/processed/train/bimba_sampled_points.npy b/data/processed/train/bimba_sampled_points.npy
diff --git a/data/processed/train/bimba_signed_distances.npy b/data/processed/train/bimba_signed_distances.npy
diff --git a/data/processed/train/bunny_sampled_points.npy b/data/processed/train/bunny_sampled_points.npy
diff --git a/data/processed/train/bunny_signed_distances.npy b/data/processed/train/bunny_signed_distances.npy
diff --git a/data/processed/train/cup_sampled_points.npy b/data/processed/train/cup_sampled_points.npy
diff --git a/data/processed/train/cup_signed_distances.npy b/data/processed/train/cup_signed_distances.npy
diff --git a/data/processed/train/torus_sampled_points.npy b/data/processed/train/torus_sampled_points.npy
diff --git a/data/processed/train/torus_signed_distances.npy b/data/processed/train/torus_signed_distances.npy
diff --git a/data/processed/val/cup_sampled_points.npy b/data/processed/val/cup_sampled_points.npy
diff --git a/data/processed/val/cup_signed_distances.npy b/data/processed/val/cup_signed_distances.npy
diff --git a/data/processed/val/torus_sampled_points.npy b/data/processed/val/torus_sampled_points.npy
diff --git a/data/processed/val/torus_signed_distances.npy b/data/processed/val/torus_signed_distances.npy