--- a/scripts/train-object-classification.py	Wed Jul 12 13:14:09 2023 -0400
+++ b/scripts/train-object-classification.py	Wed Jul 12 13:21:08 2023 -0400
@@ -22,9 +22,9 @@
 args = parser.parse_args()
 classifierParams = storage.ClassifierParameters(args.configFilename)
 
-imageDirectories = {'pedestrian': args.directoryName + "/Pedestrians/",
-                    'bicycle': args.directoryName + "/Cyclists/",
-                    'car': args.directoryName + "/Vehicles/"}
+imageDirectories = {moving.userTypeNames[2]: args.directoryName + "/Pedestrians/",
+                    moving.userTypeNames[4]: args.directoryName + "/Cyclists/",
+                    moving.userTypeNames[1]: args.directoryName + "/Vehicles/"}
 
 trainingSamplesPBV = {}
 trainingLabelsPBV = {}
@@ -39,11 +39,11 @@
     print('Loading {} samples'.format(k))
     trainingSamples, trainingLabels = cvutils.createHOGTrainingSet(v, moving.userType2Num[k], classifierParams.hogRescaleSize, classifierParams.hogNOrientations, classifierParams.hogNPixelsPerCell, classifierParams.hogBlockNorm, classifierParams.hogNCellsPerBlock)
     trainingSamplesPBV[k], trainingLabelsPBV[k] = trainingSamples, trainingLabels
-    if k != 'pedestrian':
+    if k != moving.userTypeNames[2]:
 	trainingSamplesBV[k], trainingLabelsBV[k] = trainingSamples, trainingLabels
-    if k != 'car':
+    if k != moving.userTypeNames[1]:
 	trainingSamplesPB[k], trainingLabelsPB[k] = trainingSamples, trainingLabels
-    if k != 'bicycle':
+    if k != moving.userTypeNames[4]:
 	trainingSamplesPV[k], trainingLabelsPV[k] = trainingSamples, trainingLabels
 
 # Training the Support Vector Machine