--- a/scripts/test-compute-object-position-from-features.py	Fri May 25 18:15:18 2018 -0400
+++ b/scripts/test-compute-object-position-from-features.py	Sun May 27 23:22:48 2018 -0400
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
 
 import sys
 
@@ -70,7 +70,7 @@
 # TODO version median: conversion to large matrix will not work, have to do it frame by frame
 
 def kalmanFilter(positions, velocities, processNoiseCov, measurementNoiseCov):
-    kalman=cv.CreateKalman(6, 4)
+    kalman=cv2.CreateKalman(6, 4)
     kalman.transition_matrix[0,2]=1
     kalman.transition_matrix[0,4]=1./2
     kalman.transition_matrix[1,3]=1
@@ -97,15 +97,15 @@
     filteredPositions = moving.Trajectory()
     filteredVelocities = moving.Trajectory()
     measurement = cv.CreateMat(4,1,cv.CV_32FC1)
-    for i in xrange(positions.length()):
-        cv.KalmanPredict(kalman) # no control
+    for i in range(positions.length()):
+        kalman.predict() # no control
         p = positions[i]
         v = velocities[i]
         measurement[0,0] = p.x
         measurement[1,0] = p.y
         measurement[2,0] = v.x
         measurement[3,0] = v.y
-        cv.KalmanCorrect(kalman, measurement)
+        kalman.correct(measurement)
         filteredPositions.addPositionXY(kalman.state_post[0,0], kalman.state_post[1,0])
         filteredVelocities.addPositionXY(kalman.state_post[2,0], kalman.state_post[3,0])