Mercurial > hg > nsaunier > 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 |