Enhance logging in run.py by adding project directory info and initializing logger. This improves traceability during execution.

code/conversion/run.py

@@ -1,6 +1,7 @@
 import os
 import sys
 import time
+
 project_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir))
 sys.path.append(project_dir)
 os.chdir(project_dir)
@@ -41,6 +42,8 @@ from scipy.spatial import cKDTree
 from utils.plots import plot_surface, plot_cuts_axis
 from torch.utils.tensorboard import SummaryWriter
 import torch.nn.functional as F
+from utils.logger import logger
+logger.info(f"project_dir: {project_dir}")
 
 class ReconstructionRunner:
     def run_nhrepnet_training(self):