diff --git a/README.md b/README.md
index ed8145c..f04c25c 100644
--- a/README.md
+++ b/README.md
@@ -21,61 +21,61 @@ Program language: Python 3.10.4
 
 GPR-SIDL-inv/
 
-├── dataset/                       # Training/testing data and synthetic datasets
+    ├── dataset/                       # Training/testing data and synthetic datasets
 
-    ├── data.csv                   # Already generated dataset (70MHz Ricker wavelet)
+        ├── data.csv                   # Already generated dataset (70MHz Ricker wavelet)
 
-    ├── label.csv                  # Already generated dataset (70MHz Ricker wavelet) 
+        ├── label.csv                  # Already generated dataset (70MHz Ricker wavelet) 
     
-    （Note: The pre generated data.csv and label.csv datasets have been compressed into the dataset.rar file package）
+        （Note: The pre generated data.csv and label.csv datasets have been compressed into the dataset.rar file package）
 
-├── field_data/                    # Used to store field data for inversion
+    ├── field_data/                    # Used to store field data for inversion
 
-├── IMG/                           # Used for storing data processing and inversion result graphs
+    ├── IMG/                           # Used for storing data processing and inversion result graphs
 
-├── impulse/                       # Used to store simulated and measured source wavelet files
+    ├── impulse/                       # Used to store simulated and measured source wavelet files
 
-├── Log/                           # operation log
+    ├── Log/                           # operation log
 
-├── Network/                       # Used for storing network models and data loading programs
+    ├── Network/                       # Used for storing network models and data loading programs
 
-├── readgssi/                      # Software package for reading and converting raw data
+    ├── readgssi/                      # Software package for reading and converting raw data
 
-├── SAVE/                          # Save the trained model
+    ├── SAVE/                          # Save the trained model
 
-├── time_result_csv/               # Inverse results in the time domain
+    ├── time_result_csv/               # Inverse results in the time domain
 
-├── utils/                         # tool kit
+    ├── utils/                         # tool kit
 
-    ├── Model.py/                  # network model with transformer
+        ├── Model.py/                  # network model with transformer
     
-    ├── Mydataset.py/              # Loading and preprocessing datasets
+        ├── Mydataset.py/              # Loading and preprocessing datasets
 
-    ├── plot.py/                   # the tool kit for plotting the 2D image 
+        ├── plot.py/                   # the tool kit for plotting the 2D image 
 
-├── 1_model_generator.py           # Randomly generate in files as needed to support forward modeling of gprMax in 3D media.
+    ├── 1_model_generator.py           # Randomly generate in files as needed to support forward modeling of gprMax in 3D media.
 
-├── 2_forward_simulation.py        # Run the forward modeling program to generate A-scan results
+    ├── 2_forward_simulation.py        # Run the forward modeling program to generate A-scan results
 
-├── 3_combine_dataset.py           # Filter all A-scan data and generate a dataset
+    ├── 3_combine_dataset.py           # Filter all A-scan data and generate a dataset
 
-├── 4_gssi_data_convert.py         # Convert the dzt file of the measured GSSI GPR to CSV format
+    ├── 4_gssi_data_convert.py         # Convert the dzt file of the measured GSSI GPR to CSV format
 
-├── 5_data_preprocess.py           # Preprocess the measured raw data (dewow, direct wave removal, static correction, etc.)
+    ├── 5_data_preprocess.py           # Preprocess the measured raw data (dewow, direct wave removal, static correction, etc.)
 
-├── 6_extract_impulse.py           # Extract the true source wavelet from the processed data
+    ├── 6_extract_impulse.py           # Extract the true source wavelet from the processed data
 
-├── 7_network_train.py             # Training a deep learning network for inversion
+    ├── 7_network_train.py             # Training a deep learning network for inversion
 
-├── 8_prediction.py                # Predicting real measured data
+    ├── 8_prediction.py                # Predicting real measured data
 
-├── 9_time_depth_convert.py        # Convert the predicted results into the deep domain through integration
+    ├── 9_time_depth_convert.py        # Convert the predicted results into the deep domain through integration
 
-├── config.yaml                    # Configuration file, used to define all paths, variables, and parameters
+    ├── config.yaml                    # Configuration file, used to define all paths, variables, and parameters
 
-├── requirements.txt               # Python dependencies
+    ├── requirements.txt               # Python dependencies
 
-└── README.md                      # This file
+    └── README.md                      # This file
 
 
 ### 💡 Hardware requirements：