Mercurial Hosting > traffic-intelligence
annotate scripts/train-object-classification.py @ 1004:75601be6019f
work on process
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Sun, 03 Jun 2018 00:21:18 -0400 |
parents | 933670761a57 |
children | d478d3122804 |
rev | line source |
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updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
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parents:
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1 #! /usr/bin/env python3 |
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2 |
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3 import numpy as np |
900 | 4 import argparse |
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5 from cv2.ml import SVM_RBF, SVM_C_SVC, ROW_SAMPLE # row_sample for layout in cv2.ml.SVM_load |
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6 |
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7 import cvutils, moving, ml, storage |
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8 |
4ad5123d969e
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9 parser = argparse.ArgumentParser(description='The program processes indicators for all pairs of road users in the scene') |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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10 parser.add_argument('-d', dest = 'directoryName', help = 'parent directory name for the directories containing the samples for the different road users', required = True) |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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11 parser.add_argument('--kernel', dest = 'kernelType', help = 'kernel type for the support vector machine (SVM)', default = SVM_RBF, type = long) |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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12 parser.add_argument('--svm', dest = 'svmType', help = 'SVM type', default = SVM_C_SVC, type = long) |
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moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
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parents:
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13 parser.add_argument('--deg', dest = 'degree', help = 'SVM degree', default = 0, type = int) |
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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14 parser.add_argument('--gamma', dest = 'gamma', help = 'SVM gamma', default = 1, type = int) |
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
807
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15 parser.add_argument('--coef0', dest = 'coef0', help = 'SVM coef0', default = 0, type = int) |
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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16 parser.add_argument('--cvalue', dest = 'cvalue', help = 'SVM Cvalue', default = 1, type = int) |
21f10332c72b
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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17 parser.add_argument('--nu', dest = 'nu', help = 'SVM nu', default = 0, type = int) |
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
807
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18 parser.add_argument('--svmp', dest = 'svmP', help = 'SVM p', default = 0, type = int) |
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
807
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19 parser.add_argument('--cfg', dest = 'configFilename', help = 'name of the classifier configuration file', required = True) |
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20 parser.add_argument('--confusion-matrix', dest = 'computeConfusionMatrix', help = 'compute the confusion matrix on the training data', action = 'store_true') |
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21f10332c72b
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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21 |
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22 args = parser.parse_args() |
812
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moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
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parents:
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23 classifierParams = storage.ClassifierParameters(args.configFilename) |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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parents:
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24 |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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25 imageDirectories = {'pedestrian': args.directoryName + "/Pedestrians/", |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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26 'bicycle': args.directoryName + "/Cyclists/", |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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27 'car': args.directoryName + "/Vehicles/"} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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28 |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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29 trainingSamplesPBV = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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30 trainingLabelsPBV = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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31 trainingSamplesBV = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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32 trainingLabelsBV = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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33 trainingSamplesPB = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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34 trainingLabelsPB = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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35 trainingSamplesPV = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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parents:
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36 trainingLabelsPV = {} |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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37 |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
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38 for k, v in imageDirectories.items(): |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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39 print('Loading {} samples'.format(k)) |
923 | 40 trainingSamples, trainingLabels = cvutils.createHOGTrainingSet(v, moving.userType2Num[k], classifierParams.hogRescaleSize, classifierParams.hogNOrientations, classifierParams.hogNPixelsPerCell, classifierParams.hogBlockNorm, classifierParams.hogNCellsPerBlock) |
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41 trainingSamplesPBV[k], trainingLabelsPBV[k] = trainingSamples, trainingLabels |
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42 if k != 'pedestrian': |
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43 trainingSamplesBV[k], trainingLabelsBV[k] = trainingSamples, trainingLabels |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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44 if k != 'car': |
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45 trainingSamplesPB[k], trainingLabelsPB[k] = trainingSamples, trainingLabels |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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46 if k != 'bicycle': |
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parents:
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47 trainingSamplesPV[k], trainingLabelsPV[k] = trainingSamples, trainingLabels |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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parents:
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48 |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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49 # Training the Support Vector Machine |
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933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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50 print("Training Pedestrian-Cyclist-Vehicle Model") |
812
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
807
diff
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51 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP) |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
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52 classifications = model.train(np.concatenate(list(trainingSamplesPBV.values())), ROW_SAMPLE, np.concatenate(list(trainingLabelsPBV.values())), True) |
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53 if args.computeConfusionMatrix: |
961
ec1682ed999f
added computation of confusion matrix and improved default parameter for block normalization for SVM classification
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
923
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54 print(classifications) |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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55 model.save(args.directoryName + "/modelPBV.xml") |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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56 |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
diff
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57 print("Training Cyclist-Vehicle Model") |
812
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
807
diff
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58 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP) |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
diff
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59 classifications = model.train(np.concatenate(list(trainingSamplesBV.values())), ROW_SAMPLE, np.concatenate(list(trainingLabelsBV.values())), True) |
963
2757efeabbb4
minor renaming
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parents:
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60 if args.computeConfusionMatrix: |
961
ec1682ed999f
added computation of confusion matrix and improved default parameter for block normalization for SVM classification
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
923
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61 print(classifications) |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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62 model.save(args.directoryName + "/modelBV.xml") |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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63 |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
diff
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64 print("Training Pedestrian-Cyclist Model") |
812
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
807
diff
changeset
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65 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP) |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
diff
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66 classifications = model.train(np.concatenate(list(trainingSamplesPB.values())), ROW_SAMPLE, np.concatenate(list(trainingLabelsPB.values())), True) |
963
2757efeabbb4
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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67 if args.computeConfusionMatrix: |
961
ec1682ed999f
added computation of confusion matrix and improved default parameter for block normalization for SVM classification
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
923
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68 print(classifications) |
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added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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69 model.save(args.directoryName + "/modelPB.xml") |
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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70 |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
diff
changeset
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71 print("Training Pedestrian-Vehicle Model") |
812
21f10332c72b
moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
807
diff
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72 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP) |
998
933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
993
diff
changeset
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73 classifications = model.train(np.concatenate(list(trainingSamplesPV.values())), ROW_SAMPLE, np.concatenate(list(trainingLabelsPV.values())), True) |
963
2757efeabbb4
minor renaming
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
961
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74 if args.computeConfusionMatrix: |
961
ec1682ed999f
added computation of confusion matrix and improved default parameter for block normalization for SVM classification
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
923
diff
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75 print(classifications) |
519
4ad5123d969e
added script to train HoG-SVM classifiers for object classification (based on a script by Sohail Zangenehpour, PhD student at McGill)
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parents:
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76 model.save(args.directoryName + "/modelPV.xml") |