diff --git a/src/eval/kitti_eval.py b/src/eval/kitti_eval.py
index dab6e41..3237078 100644
--- a/src/eval/kitti_eval.py
+++ b/src/eval/kitti_eval.py
@@ -7,6 +7,10 @@ import json
 import copy
 import datetime
 
+from utils.misc import get_idx_max
+from utils.kitti import check_conditions, get_category, split_training
+from visuals.results import print_results
+
 
 class KittiEval:
     """
@@ -22,19 +26,12 @@ class KittiEval:
         self.logger = logging.getLogger(__name__)
 
         self.show = show
-        from utils.misc import get_idx_max
-        self.get_idx_max = get_idx_max
-        from utils.kitti import check_conditions, get_category
-        self.check_conditions = check_conditions
-        self.get_category = get_category
-        from visuals.results import print_results
-        self.print_results = print_results
-
         self.dir_gt = os.path.join('data', 'kitti', 'gt')
         self.dir_m3d = os.path.join('data', 'kitti', 'm3d')
         self.dir_3dop = os.path.join('data', 'kitti', '3dop')
         self.dir_md = os.path.join('data', 'kitti', 'monodepth')
         self.dir_our = os.path.join('data', 'kitti', 'monoloco')
+        path_train = os.path.join('splits', 'kitti_train.txt')
         path_val = os.path.join('splits', 'kitti_val.txt')
         dir_logs = os.path.join('data', 'logs')
         assert dir_logs, "No directory to save final statistics"
@@ -54,27 +51,22 @@ class KittiEval:
         self.dic_cnt = defaultdict(int)
         self.errors = defaultdict(lambda: defaultdict(list))
 
-        # Only consider validation images
-        set_gt = set(os.listdir(self.dir_gt))
-        set_val = set()
-
-        with open(path_val, "r") as f_val:
-            for line in f_val:
-                set_val.add(line[:-1] + '.txt')
-        self.list_gt = list(set_gt.intersection(set_val))
-        assert self.list_gt, "No images in the folder"
+        # Extract validation images for evaluation
+        names_gt = tuple(os.listdir(self.dir_gt))
+        _, self.set_val = split_training(names_gt, path_train, path_val)
+        aa = 5
 
     def run(self):
 
+        """Evaluate Monoloco methods on ALP and ALE metrics"""
+
         self.dic_stds = defaultdict(lambda: defaultdict(list))
         dic_stats = defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: defaultdict(float))))
 
         cnt_gt = 0
 
         # Iterate over each ground truth file in the training set
-        for name in self.list_gt:
-            if name == '004647.txt':
-                aa = 5
+        for name in self.set_val:
             path_gt = os.path.join(self.dir_gt, name)
             path_m3d = os.path.join(self.dir_m3d, name)
             path_our = os.path.join(self.dir_our, name)
diff --git a/src/features/preprocess_ki.py b/src/features/preprocess_ki.py
index ffd2675..2ae77cc 100644
--- a/src/features/preprocess_ki.py
+++ b/src/features/preprocess_ki.py
@@ -31,7 +31,7 @@ class PreprocessKitti:
         self.dir_ann = dir_ann
         self.iou_thresh = iou_thresh
         self.dir_gt = os.path.join('data', 'kitti', 'gt')
-        self.names_gt = os.listdir(self.dir_gt)
+        self.names_gt = tuple(os.listdir(self.dir_gt))
         self.dir_kk = os.path.join('data', 'kitti', 'calib')
         self.list_gt = glob.glob(self.dir_gt + '/*.txt')
         assert os.path.exists(self.dir_gt), "Ground truth dir does not exist"
diff --git a/src/utils/kitti.py b/src/utils/kitti.py
index ba85332..910b647 100644
--- a/src/utils/kitti.py
+++ b/src/utils/kitti.py
@@ -138,8 +138,8 @@ def split_training(names_gt, path_train, path_val):
         for line in f_val:
             set_val.add(line[:-1] + '.txt')
 
-    set_train = set_gt.intersection(set_train)
-    set_val = set_gt.intersection(set_val)
+    set_train = tuple(set_gt.intersection(set_train))
+    set_val = tuple(set_gt.intersection(set_val))
     assert set_train and set_val, "No validation or training annotations"
     return set_train, set_val