--- a
+++ b/config/config.py
@@ -0,0 +1,32 @@
+import os
+from config.augm import train_transform, val_transform
+from config.paths import train_images_folder, train_labels_folder, train_images, train_labels
+from semseg.data_loader import SemSegConfig
+
+
+class SemSegMRIConfig(SemSegConfig):
+    train_images = [os.path.join(train_images_folder, train_image)
+                    for train_image in train_images]
+    train_labels = [os.path.join(train_labels_folder, train_label)
+                    for train_label in train_labels]
+    val_images = None
+    val_labels = None
+    do_normalize = True
+    batch_size = 16
+    num_workers = 0
+    pad_ref = (48, 64, 48)
+    lr = 0.01
+    epochs = 100
+    low_lr_epoch = epochs // 3
+    val_epochs = epochs // 5
+    cuda = True
+    num_outs = 3
+    do_crossval = True
+    num_folders = 5
+    num_channels = 8
+    transform_train = train_transform
+    transform_val = val_transform
+    net = "vnet"
+
+
+LEARNING_RATE_REDUCTION_FACTOR = 2
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