diff --git a/eyes.py b/eyes.py
index 5450a14..b9ef216 100644
--- a/eyes.py
+++ b/eyes.py
@@ -5,8 +5,6 @@ import cv2
 import onnxruntime
 import time
 
-
-
 def clamp_to_im(pt, w, h): #8 times per frame, but that only accounts for 0.005ms
     x=max(pt[0],0)
     y=max(pt[1],0)
@@ -33,14 +31,10 @@ def rotate_image(image, a, center): #twice per frame, 0.2ms - 0.25ms each, impro
     image = cv2.warpAffine(image, M, (w, h), flags = cv2.INTER_CUBIC)
     return image
 
-
-
-
 class Eye():
     def __init__(self,index):
 
         self.eye_tracking_frames = 0
-
         self.index = index
         self.state = [1.,0.,0.,0.]
         self.image = None
@@ -67,7 +61,9 @@ class Eye():
 
         im = im[int(y1):int(y2), int(x1):int(x2)]
         if np.prod(im.shape) < 1:
-            return None, None, None, None, None, None
+            self.image = None
+            self.info = None
+
         if self.index == 1:
             im = cv2.flip(im, 1)
         scale = [(x2 - x1)/ 32., (y2 - y1)/ 32.]
@@ -145,7 +141,6 @@ class Eye():
 
         self.standardDeviation = math.sqrt(self.averageEyeConfidenceVariance)
 
-
 class EyeTracker():
     def __init__(self):
         self.leftEye = Eye(1)
diff --git a/tracker.py b/tracker.py
index 0cbfa3d..02699ff 100644
--- a/tracker.py
+++ b/tracker.py
@@ -121,7 +121,6 @@ class Tracker():
 
         eye_state = self.EyeTracker.get_eye_state(frame, lms)
 
-
         self.face_info[0].update((conf, (lms, eye_state)), np.array(lms)[:, 0:2].mean(0))
 
         duration_model = 1000 * (time.perf_counter() - start_model)