# HG changeset patch
# User Nicolas Saunier <nicolas.saunier@polymtl.ca>
# Date 1707422696 18000
# Node ID 00b71da2baaccd30c424c9f30b3aae009777016e
# Parent  88eedf79f16a19cd7889e57615a1616e81f6ac90
corrected bug

diff -r 88eedf79f16a -r 00b71da2baac scripts/classify-objects.py
--- a/scripts/classify-objects.py	Wed Feb 07 11:53:00 2024 -0500
+++ b/scripts/classify-objects.py	Thu Feb 08 15:04:56 2024 -0500
@@ -11,7 +11,7 @@
     from ultralytics import YOLO
     ultralyticsAvailable = True
 except ImportError:
-    #print('OpenCV library could not be loaded (video replay functions will not be available)') # TODO change to logging module
+    print('Ultralytics library could not be loaded') # TODO change to logging module
     ultralyticsAvailable = False
 
 
@@ -24,7 +24,6 @@
 parser.add_argument('-d', dest = 'databaseFilename', help = 'name of the Sqlite database file (overrides the configuration file)')
 parser.add_argument('-i', dest = 'videoFilename', help = 'name of the video file (overrides the configuration file)')
 parser.add_argument('-n', dest = 'nObjects', help = 'number of objects to classify', type = int, default = None)
-parser.add_argument('--start-frame0', dest = 'startFrame0', help = 'starts with first frame for videos with index problem where frames cannot be reached', action = 'store_true')
 parser.add_argument('--plot-speed-distributions', dest = 'plotSpeedDistribution', help = 'simply plots the distributions used for each user type', action = 'store_true')
 parser.add_argument('--max-speed-distribution-plot', dest = 'maxSpeedDistributionPlot', help = 'if plotting the user distributions, the maximum speed to display (km/h)', type = float, default = 50.)
 parser.add_argument('--verbose', dest = 'verbose', help = 'verbose information', action = 'store_true')
@@ -43,7 +42,7 @@
     bikeCarSVM = None
     yolo = YOLO(classifierParams.dlFilename, task='detect')
     useYolo = True
-    print('Using Yolov8 model +'classifierParams.dlFilename)
+    print('Using Yolov8 model '+classifierParams.dlFilename)
 else:
     useYolo = False
     pedBikeCarSVM = ml.SVM_load(classifierParams.pedBikeCarSVMFilename)