Mercurial Hosting > traffic-intelligence
comparison scripts/extract-appearance-images.py @ 900:85b81c46c526
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author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Wed, 21 Jun 2017 17:49:58 -0400 |
parents | |
children | 753a081989e2 |
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899:1466a63dd1cf | 900:85b81c46c526 |
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1 #! /usr/bin/env python | |
2 | |
3 import numpy as np | |
4 import argparse | |
5 from cv2 import SVM_RBF, SVM_C_SVC | |
6 #from cv2.ml import SVM_RBF, SVM_C_SVC, ROW_SAMPLE # row_sample for layout in cv2.ml.SVM_load | |
7 | |
8 import cvutils, moving, ml, storage | |
9 | |
10 parser = argparse.ArgumentParser(description='The program extracts labeled image patches to train the HoG-SVM classifier, and optionnally speed information') | |
11 parser.add_argument('-d', dest = 'directoryName', help = 'parent directory name for the directories containing the samples for the different road users', required = True) | |
12 | |
13 # need all info as for classification (image info) | |
14 | |
15 # todo speed info: distributions AND min speed equiprobable | |
16 | |
17 # provide csv delimiter for the classification file as arg |