diff --git a/facemap/gui/cluster.py b/facemap/gui/cluster.py
index 91a67e9..eb74302 100644
--- a/facemap/gui/cluster.py
+++ b/facemap/gui/cluster.py
@@ -736,8 +736,12 @@ def save_cluster_video(self, parent, fps, num_frames_gif):
         cumframes, Ly, Lx, capture = utils.get_frame_details(parent.filenames)
         capture = capture[0][0]
         num_clusters = len(np.unique(self.cluster_labels))
-        filename, ext = parent.filenames[0][0].split(".")
-        filename = filename.split("/")[-1]  # Use video filename
+        filename, ext = os.path.splitext(
+            parent.filenames[0][0]
+        )  # parent.filenames[0][0].split(".")
+        filename = os.path.basename(
+            filename
+        )  # filename.split("/")[-1]  # Use video filename
 
         # Create 2D list of random frames selected from each cluster
         cluster_frames_2D_list = np.zeros((num_clusters, num_frames_gif))
diff --git a/facemap/gui/gui.py b/facemap/gui/gui.py
index 32efb7c..f044d42 100755
--- a/facemap/gui/gui.py
+++ b/facemap/gui/gui.py
@@ -7,6 +7,7 @@
 import numpy as np
 import pyqtgraph as pg
 import scipy.io as sio
+from pathlib import Path
 from matplotlib import cm
 from PyQt5 import QtCore, QtWidgets
 from PyQt5.QtGui import QFont, QIcon, QPainterPath
@@ -793,7 +794,7 @@ def update_pose_model_combo_box(self):
         models = model_loader.get_model_states_paths()
         models.append(model_loader.get_basemodel_state_path())
         for m in models:
-            model_name = m.split("/")[-1].split(".")[0]
+            model_name = Path(m).stem  # m.split("/")[-1].split(".")[0]
             if model_name == "facemap_model_state":
                 continue
             self.pose_model_combobox.addItem(model_name)
diff --git a/facemap/gui/io.py b/facemap/gui/io.py
index a2a5a58..f9ad7cd 100755
--- a/facemap/gui/io.py
+++ b/facemap/gui/io.py
@@ -179,7 +179,7 @@ def open_proc(parent, file_name=None):
                     if "pupil_sigma" in roi:
                         psig = roi["pupil_sigma"]
                         parent.pupil_sigma = psig
-                        parent.sigmaBox.setText(str(roi["pupil_sigma"]))
+                        parent.sigma_box.setText(str(roi["pupil_sigma"]))
                     else:
                         psig = None
                     parent.ROIs.append(
@@ -484,8 +484,12 @@ def load_trace_data(parent):
 
 
 def save_clustering_output(output, parent):
-    filename, ext = parent.filenames[0][0].split(".")
-    filename = filename.split("/")[-1]  # Use video filename
+    filename, ext = os.path.splitext(
+        parent.filenames[0][0]
+    )  # parent.filenames[0][0].split(".")
+    filename = os.path.basename(
+        filename
+    )  # filename.split("/")[-1]  # Use video filename
     savename = os.path.join(parent.save_path, ("%s_facemap_clusters.npy" % filename))
     np.save(savename, output)
     parent.update_status_bar("Clustering output saved: " + savename)
diff --git a/facemap/gui/ops_user.npy b/facemap/gui/ops_user.npy
index 706fdcb..19beded 100755
Binary files a/facemap/gui/ops_user.npy and b/facemap/gui/ops_user.npy differ
diff --git a/tests/test_svd_output.py b/tests/test_svd_output.py
index b3d25eb..4ecd2bc 100644
--- a/tests/test_svd_output.py
+++ b/tests/test_svd_output.py
@@ -5,7 +5,7 @@
 
 from facemap import process
 
-r_tol, a_tol = 1, 1 #1e-2, 1
+r_tol, a_tol = 1, 1  # 1e-2, 1
 
 
 def test_output_single_video(data_dir, video_names, expected_output_dir):
@@ -113,7 +113,10 @@ def check_frames(test_output, expected_output):
 
 def check_U(test_output, expected_output):
     motionMask = np.allclose(
-        test_output["motMask"][0], expected_output["motMask"][0], rtol=r_tol+5, atol=a_tol+5
+        test_output["motMask"][0],
+        expected_output["motMask"][0],
+        rtol=r_tol + 5,
+        atol=a_tol + 5,
     )
     movieMask = np.allclose(
         test_output["movMask"][0], expected_output["movMask"][0], rtol=r_tol, atol=a_tol
@@ -121,8 +124,8 @@ def check_U(test_output, expected_output):
     motionMask_reshape = np.allclose(
         test_output["motMask_reshape"][0],
         expected_output["motMask_reshape"][0],
-        rtol=r_tol+5,
-        atol=a_tol+5,
+        rtol=r_tol + 5,
+        atol=a_tol + 5,
     )
     movMask_reshape = np.allclose(
         test_output["movMask_reshape"][0],
@@ -133,7 +136,7 @@ def check_U(test_output, expected_output):
     print("motionMask", motionMask)
     print("movieMask", movieMask)
     print("motionMask_reshape", motionMask_reshape)
-    print("movMask_reshape", movMask_reshape)                                               
+    print("movMask_reshape", movMask_reshape)
     return motionMask and movieMask and motionMask_reshape and movMask_reshape