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