Mercurial Hosting > traffic-intelligence

annotate scripts/extract-appearance-images.py @ 900:85b81c46c526

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author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 21 Jun 2017 17:49:58 -0400
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children 753a081989e2
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900
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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1 #! /usr/bin/env python
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2
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3 import numpy as np
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4 import argparse
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5 from cv2 import SVM_RBF, SVM_C_SVC
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6 #from cv2.ml import SVM_RBF, SVM_C_SVC, ROW_SAMPLE # row_sample for layout in cv2.ml.SVM_load
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7
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8 import cvutils, moving, ml, storage
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9
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10 parser = argparse.ArgumentParser(description='The program extracts labeled image patches to train the HoG-SVM classifier, and optionnally speed information')
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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11 parser.add_argument('-d', dest = 'directoryName', help = 'parent directory name for the directories containing the samples for the different road users', required = True)
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12
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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13 # need all info as for classification (image info)
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14
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15 # todo speed info: distributions AND min speed equiprobable
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16
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17 # provide csv delimiter for the classification file as arg