merge deformation/non deformation into one class

configs/supervised_configs.json

@@ -1,27 +1,27 @@
 {
-    "wandb_project":"YOUR_PROJECT",
+    "wandb_project":"YOUR_WANDB_PROJECT",
     "wandb_entity":"YOUR_ENTITY",
     "task":"classification",
-    "num_classes":11,
+    "num_classes":10,
     "wandb":true,
     "mixed_precision":true,
-    "ssl_encoder":null, // SSL encoder to finetune. Otherwise null
+    "ssl_encoder":null,// SSL encoder to finetune. Otherwise null
     "ssl_config_path":null, // Config file of the ssl method if finetuning. Otherwise null
-    "annotation_path":"YOUR_PATH/annotations/", // Full annotation path
-    "data_path":"YOUR_PATH/Hephaestus_Raw/", // Raw data path. 
-    "batch_size":128,
+    "annotation_path":"YOUR_ANNOTATION_PATH/annotations/", // Full annotation path
+    "data_path":"YOUR_DATA_PATH/Hephaestus_Raw/", // Raw data path. 
+    "batch_size":64,
     "num_workers":4,
     "device":"cuda:1",
-    "lr":0.0001,
-    "weight_decay":1e-4,
-    "epochs":1,
+    "lr": 1e-4, // SSL lr: 0.00001,
+    "weight_decay":0,
+    "epochs":10,
     "architecture":"ResNet50", 
     "oversampling":true, // Oversampling at training time
     "multilabel":true, // For metric construction. Training is mainly built for multilabel (TODO make it more generic)
     "linear_evaluation":true, // Whether to use the linear evaluation protocol
     "augment":false, // wheter to augment for supervised training (TODO)
     "metric_strategy":"none", //none to get per class metrics
     "num_channel":2, // number of channels, 1 for the phase and one for the coherence
-    "image_size":224, // How to resize the frame.
+    "image_size":560, // How to resize the frame.
     "test_frames": ["124D_04854_171313", "022D_04826_121209", "087D_07004_060904","174A_09133_131313","021D_09150_131313","109D_05390_141615", "162A_06192_060402", "076D_09725_121107","115D_04999_131313","152D_08915_131313", "164A_13146_131313","151D_SM_REUN_S4","144A_SM_REUN_S6"] // Volcanoes in Campi Flegrei (Italy), Kilauea (Hawaii), Mauna Loa (Hawaii), Puu Ooo (Hawaii), Nyiragongo (Congo), Santorini (Greece), Caldera de los Marteles (Spain/Africa), Merapi (Indonesia), Korosi (Kenya), Silali (Kenya), Cerro Tronador (Chile), Osorno (Chile), Puyehue (Chile), La Soufriere (Carribean)
 }

dataset/Dataset.py

@@ -341,33 +341,33 @@ def create_label_vector(self,annotation):
         #    - Deformation, No Deformation
         #    --- Deformation Type: Mogi, Dyke, Sill, Earthquake
         #    --- Deformation Intensity
-        label = np.zeros((11,))
+        label = np.zeros((10,))
         if 'Non_Deformation' in annotation['label']:
-            label[1] = 1
+            label[0] = 0
             return label 
         else:
             label[0] = 1
             # Check activity type. It's possible to have more than one
             if 'Mogi' in annotation['activity_type']:
-                label[2] = 1
+                label[1] = 1
             if 'Dyke' in annotation['activity_type']:
-                label[3] = 1
+                label[2] = 1
             if 'Sill' in annotation['activity_type']:
-                label[4] = 1
+                label[3] = 1
             if 'Spheroid' in annotation['activity_type']:
-                label[5] = 1
+                label[4] = 1
             if 'Earthquake' in annotation['activity_type']:
-                label[6] = 1
+                label[5] = 1
             if 'Unidentified' in annotation['activity_type']:
-                label[7] = 1
+                label[6] = 1
 
             # Check event intensity
             if 'Low' in annotation['intensity_level']:
-                label[8] = 1
+                label[7] = 1
             if 'Medium' in annotation['intensity_level']:
-                label[9] = 1
+                label[8] = 1
             if 'High' in annotation['intensity_level']:
-                label[10] = 1
+                label[9] = 1
 
         return label