Mercurial > hg > nsaunier > traffic-intelligence

comparison scripts/classify-objects.py @ 536:95276d310972

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renamed TrackingParameters to ProcessParameters
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 02 Jul 2014 11:35:05 -0400
parents f527159815ab
children da1352b89d02
comparison
equal deleted inserted replaced
535:5ad2f51ae42f 536:95276d310972
5 from cv2 import SVM_RBF, SVM_C_SVC 5 from cv2 import SVM_RBF, SVM_C_SVC
6 6
7 import cvutils, moving, ml 7 import cvutils, moving, ml
8 8
9 parser = argparse.ArgumentParser(description='The program processes indicators for all pairs of road users in the scene') 9 parser = argparse.ArgumentParser(description='The program processes indicators for all pairs of road users in the scene')
10 parser.add_argument('--cfg', dest = 'configFilename', help = 'name of the configuration file', required = True)
10 parser.add_argument('-d', dest = 'directoryName', help = 'name of the parent directory containing the videos and extracted trajectories to process', required = True) 11 parser.add_argument('-d', dest = 'directoryName', help = 'name of the parent directory containing the videos and extracted trajectories to process', required = True)
11 parser.add_argument('-o', dest = 'homographyFilename', help = 'name of the image to world homography file') 12 # parser.add_argument('-o', dest = 'homographyFilename', help = 'name of the image to world homography file')
12 # need a classification config file for speed distribution parameters, svm models, frequency parameters, area parameters etc 13 # need a classification config file for speed distribution parameters, svm models, frequency parameters, area parameters etc
13 #parser.add_argument('--cfg', dest = 'svmType', help = 'SVM type', default = SVM_C_SVC, type = long) 14 #parser.add_argument('--cfg', dest = 'svmType', help = 'SVM type', default = SVM_C_SVC, type = long)
14 15
15 16
16 #parser.add_argument('-s', dest = 'rescaleSize', help = 'rescale size of image samples', default = 64, type = int) 17 #parser.add_argument('-s', dest = 'rescaleSize', help = 'rescale size of image samples', default = 64, type = int)
17 #parser.add_argument('-o', dest = 'nOrientations', help = 'number of orientations in HoG', default = 9, type = int) 18 #parser.add_argument('-o', dest = 'nOrientations', help = 'number of orientations in HoG', default = 9, type = int)
18 #parser.add_argument('-p', dest = 'nPixelsPerCell', help = 'number of pixels per cell', default = 8, type = int) 19 #parser.add_argument('-p', dest = 'nPixelsPerCell', help = 'number of pixels per cell', default = 8, type = int)
19 #parser.add_argument('-c', dest = 'nCellsPerBlock', help = 'number of cells per block', default = 2, type = int) 20 #parser.add_argument('-c', dest = 'nCellsPerBlock', help = 'number of cells per block', default = 2, type = int)
21
20 args = parser.parse_args() 22 args = parser.parse_args()
21 23 params = storage.ProcessParameters(args.configFilename)
22 print('TODO') # add all parameters for classification (distribution parameters)