diff --git a/process_data.py b/process_data.py
index f58951c..828c84e 100644
--- a/process_data.py
+++ b/process_data.py
@@ -1,14 +1,48 @@
 import os
 import re
+from shared_util.preprocess import PreProcess
+
+
 import matplotlib.pyplot as plt
 import matplotlib.image as mpimg
+# from pain_detector import PainDetector
 
 # global variables
-PSPI_DIR = 'data\Frame_Labels\Frame_Labels\PSPI'
-IMAGES_DIR = 'data\Images\Images'
+PSPI_DIR = './data/Frame_Labels/Frame_Labels/PSPI'
+IMAGES_DIR = './data/Images/Images'
 DATA_SUMMARY_CSV = 'data_summary.csv'
 
 
+#region arguments section
+class AttrDict(dict):
+    def __init__(self, *args, **kwargs):
+        super(AttrDict, self).__init__(*args, **kwargs)
+        self.__dict__ = self
+
+
+def print_opts(opts):
+    """Prints the values of all command-line arguments.
+    """
+    print('=' * 80)
+    print('Opts'.center(80))
+    print('-' * 80)
+    for key in opts.__dict__:
+        if opts.__dict__[key]:
+            print('{:>30}: {:<30}'.format(key, opts.__dict__[key]).center(80))
+    print('=' * 80)
+
+
+ARGS = AttrDict()
+args_dict = {
+    # 'fan_checkpoint': os.path.abspath("../shared_util/face_alignment/checkpoints/59448122/59448122_3/model_epoch13.pt"),
+    # 'standard_face_path': os.path.abspath("../shared_util/face_alignment/standard_face_68.npy"),
+    'image_scale_to_before_crop': 256,
+    'image_size': 160
+}
+ARGS.update(args_dict)
+#endregion
+
+
 
 # Write a row to a file. The row has to be a tuple of strings
 # Input: "./data_summary.csv", ("person_name", "video_name", "frame_number", "pspi_score", "image_path"), "w"
@@ -22,6 +56,8 @@ def write_row_to_file(file_path, row, mode="a"):
 # Input: 'data\Frame_Labels\Frame_Labels\PSPI', 'data\Images\Images', 'data_summary.csv'
 # output: The path to the csv file
 def create_data_summary_csv(pspi_dir, images_dir, data_summary_csv):
+    preprocess = PreProcess(ARGS)
+
     # The header of the csv
     header =  ("person_name", "video_name", "frame_number", "pspi_score", "image_path")
     write_row_to_file(data_summary_csv, header, "w")
@@ -30,14 +66,14 @@ def create_data_summary_csv(pspi_dir, images_dir, data_summary_csv):
         for file in files:
             # Process labels
             label_path = os.path.join(root, file)
-            label_path = label_path.replace("/", "\\")
+            label_path = label_path.replace("\\", "/")
 
-            path_array = label_path.split("\\")
-            person_name = path_array[4]
-            video_name = path_array[5]
+            path_array = label_path.split("/")
+            person_name = path_array[5]
+            video_name = path_array[6]
             
             frame_number = '0'
-            m = re.search(video_name + '(\d+)', path_array[6])
+            m = re.search(video_name + '(\d+)', path_array[7])
             if m:
                 frame_number = m.group(1)
 
@@ -52,9 +88,12 @@ def create_data_summary_csv(pspi_dir, images_dir, data_summary_csv):
             image_path = os.path.join(images_dir, person_name, video_name, image_file_name)
             image_path = os.path.abspath(image_path)
 
-            # Write to the csv 
-            row = (person_name, video_name, frame_number, pspi_score, image_path)
-            write_row_to_file(data_summary_csv, row)
+            if preprocess.test_image(image_path):
+                # Write to the csv 
+                row = (person_name, video_name, frame_number, pspi_score, image_path)
+                write_row_to_file(data_summary_csv, row)
+            else:
+                print(f"Skip image: [{image_path}]")
 
     return data_summary_csv