--- a/python/cvutils.py	Thu Jun 22 17:02:03 2017 -0400
+++ b/python/cvutils.py	Thu Jun 22 18:08:46 2017 -0400
@@ -258,9 +258,9 @@
         else:
             print('Video capture for {} failed'.format(videoFilename))
             return None
-
-    def imageBox(img, obj, frameNum, homography, width, height, px = 0.2, py = 0.2, minNPixels = 800):
-        'Computes the bounding box of object at frameNum'
+        
+    def imageBoxSize(obj, frameNum, homography, width, height, px = 0.2, py = 0.2):
+        'Computes the bounding box size of object at frameNum'
         x = []
         y = []
         if obj.hasFeatures():
@@ -280,12 +280,15 @@
         yCropMax = int(min(height - 1, .5 * (ymin + ymax + a)))
         xCropMin = int(max(0, .5 * (xmin + xmax - a)))
         xCropMax = int(min(width - 1, .5 * (xmin + xmax + a)))
+        return yCropMin, yCropMax, xCropMin, xCropMax
+        
+    def imageBox(img, obj, frameNum, homography, width, height, px = 0.2, py = 0.2, minNPixels = 800):
+        'Computes the bounding box of object at frameNum'
+        yCropMin, yCropMax, xCropMin, xCropMax = imageBoxSize(obj, frameNum, homography, width, height, px, py)
         if yCropMax != yCropMin and xCropMax != xCropMin and (yCropMax - yCropMin) * (xCropMax - xCropMin) > minNPixels:
-            croppedImg = img[yCropMin : yCropMax, xCropMin : xCropMax]
+            return img[yCropMin : yCropMax, xCropMin : xCropMax]
         else:
-            croppedImg = None
-        return croppedImg, yCropMin, yCropMax, xCropMin, xCropMax
-
+            return None
 
     def displayTrajectories(videoFilename, objects, boundingBoxes = {}, homography = None, firstFrameNum = 0, lastFrameNumArg = None, printFrames = True, rescale = 1., nFramesStep = 1, saveAllImages = False, nZerosFilenameArg = None, undistort = False, intrinsicCameraMatrix = None, distortionCoefficients = None, undistortedImageMultiplication = 1., annotations = [], gtMatches = {}, toMatches = {}, colorBlind = False):
         '''Displays the objects overlaid frame by frame over the video '''
@@ -334,7 +337,7 @@
                                     obj.projectedPositions = obj.positions
                             cvPlot(img, obj.projectedPositions, cvColors[colorType][obj.getNum()], frameNum-obj.getFirstInstant())
                             if frameNum not in boundingBoxes.keys() and obj.hasFeatures():
-                                imgcrop, yCropMin, yCropMax, xCropMin, xCropMax = imageBox(img, obj, frameNum, homography, width, height)
+                                yCropMin, yCropMax, xCropMin, xCropMax = imageBoxSize(obj, frameNum, homography, width, height)
                                 cv2.rectangle(img, (xCropMin, yCropMin), (xCropMax, yCropMax), cvBlue[colorType], 1)
                             objDescription = '{} '.format(obj.num)
                             if moving.userTypeNames[obj.userType] != 'unknown':