Mercurial > hg > nsaunier > traffic-intelligence

comparison scripts/classify-objects.py @ 1244:00b71da2baac

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corrected bug
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Thu, 08 Feb 2024 15:04:56 -0500
parents 88eedf79f16a
children 2397de73770d
comparison
equal deleted inserted replaced
1243:88eedf79f16a 1244:00b71da2baac
9 9
10 try: 10 try:
11 from ultralytics import YOLO 11 from ultralytics import YOLO
12 ultralyticsAvailable = True 12 ultralyticsAvailable = True
13 except ImportError: 13 except ImportError:
14 #print('OpenCV library could not be loaded (video replay functions will not be available)') # TODO change to logging module 14 print('Ultralytics library could not be loaded') # TODO change to logging module
15 ultralyticsAvailable = False 15 ultralyticsAvailable = False
16 16
17 17
18 from trafficintelligence import cvutils, moving, ml, storage, utils 18 from trafficintelligence import cvutils, moving, ml, storage, utils
19 19
22 parser = argparse.ArgumentParser(description='The program processes indicators for all pairs of road users in the scene', epilog='The integer ids for the categories are stored in the moving module:\n{}'.format(moving.userType2Num)) 22 parser = argparse.ArgumentParser(description='The program processes indicators for all pairs of road users in the scene', epilog='The integer ids for the categories are stored in the moving module:\n{}'.format(moving.userType2Num))
23 parser.add_argument('--cfg', dest = 'configFilename', help = 'name of the configuration file', required = True) 23 parser.add_argument('--cfg', dest = 'configFilename', help = 'name of the configuration file', required = True)
24 parser.add_argument('-d', dest = 'databaseFilename', help = 'name of the Sqlite database file (overrides the configuration file)') 24 parser.add_argument('-d', dest = 'databaseFilename', help = 'name of the Sqlite database file (overrides the configuration file)')
25 parser.add_argument('-i', dest = 'videoFilename', help = 'name of the video file (overrides the configuration file)') 25 parser.add_argument('-i', dest = 'videoFilename', help = 'name of the video file (overrides the configuration file)')
26 parser.add_argument('-n', dest = 'nObjects', help = 'number of objects to classify', type = int, default = None) 26 parser.add_argument('-n', dest = 'nObjects', help = 'number of objects to classify', type = int, default = None)
27 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')
28 parser.add_argument('--plot-speed-distributions', dest = 'plotSpeedDistribution', help = 'simply plots the distributions used for each user type', action = 'store_true') 27 parser.add_argument('--plot-speed-distributions', dest = 'plotSpeedDistribution', help = 'simply plots the distributions used for each user type', action = 'store_true')
29 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.) 28 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.)
30 parser.add_argument('--verbose', dest = 'verbose', help = 'verbose information', action = 'store_true') 29 parser.add_argument('--verbose', dest = 'verbose', help = 'verbose information', action = 'store_true')
31 30
32 args = parser.parse_args() 31 args = parser.parse_args()
41 if ultralyticsAvailable and Path(classifierParams.dlFilename).is_file(): # use Yolo 40 if ultralyticsAvailable and Path(classifierParams.dlFilename).is_file(): # use Yolo
42 pedBikeCarSVM = None 41 pedBikeCarSVM = None
43 bikeCarSVM = None 42 bikeCarSVM = None
44 yolo = YOLO(classifierParams.dlFilename, task='detect') 43 yolo = YOLO(classifierParams.dlFilename, task='detect')
45 useYolo = True 44 useYolo = True
46 print('Using Yolov8 model +'classifierParams.dlFilename) 45 print('Using Yolov8 model '+classifierParams.dlFilename)
47 else: 46 else:
48 useYolo = False 47 useYolo = False
49 pedBikeCarSVM = ml.SVM_load(classifierParams.pedBikeCarSVMFilename) 48 pedBikeCarSVM = ml.SVM_load(classifierParams.pedBikeCarSVMFilename)
50 bikeCarSVM = ml.SVM_load(classifierParams.bikeCarSVMFilename) 49 bikeCarSVM = ml.SVM_load(classifierParams.bikeCarSVMFilename)
51 50