Adds training scripts for PointNet classification

Adds scripts to train PointNet models for classification tasks.

These scripts initialize training with specific dataset and model save paths,
along with customizable hyperparameters.

train_pnet_class.py

@@ -0,0 +1,13 @@
+from fast_pointnet import train_pointnet
+import os
+
+if __name__ == "__main__":
+
+    # Load the dataset
+    dataset_path = "/home/skvrnjan/personal/hohocustom_edges/"
+    model_save_path = "/home/skvrnjan/personal/hoho_pnet_edges/"
+
+    os.makedirs(model_save_path, exist_ok=True)
+
+    # Train the model
+    train_pointnet(dataset_path, model_save_path)

train_pnet_class_cluster.py

@@ -0,0 +1,13 @@
+from fast_pointnet import train_pointnet
+import os   
+
+if __name__ == "__main__":
+
+    # Load the dataset
+    dataset_path = "/mnt/personal/skvrnjan/hohocustom_edges/"
+    model_save_path = "/mnt/personal/skvrnjan/hoho_pnet_edges/initial.pth"
+
+    os.makedirs(model_save_path, exist_ok=True)
+    
+    # Train the model
+    train_pointnet(dataset_path, model_save_path, epochs=100, batch_size=128, lr=0.001, score_weight=1.0, class_weight=0.5)