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annotate scripts/train-object-classification.py @ 962:64259b9885bf

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verbose option to print classification information (more to add)
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Mon, 06 Nov 2017 21:25:41 -0500
parents ec1682ed999f
children 2757efeabbb4
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
519
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:
diff changeset
1 #! /usr/bin/env python
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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2
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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3 import numpy as np
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4 import argparse
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52aa03260f03 reversed all code to OpenCV 2.4.13
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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5 from cv2 import SVM_RBF, SVM_C_SVC
52aa03260f03 reversed all code to OpenCV 2.4.13
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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
52aa03260f03 reversed all code to OpenCV 2.4.13
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parents: 788
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7
812
21f10332c72b moved the classification parameters from tracking.cfg to a new classifier.cfg and made all classification parameters apparent
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parents: 807
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8 import cvutils, moving, ml, storage
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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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9
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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10 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>
parents:
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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)
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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12 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>
parents:
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13 parser.add_argument('--svm', dest = 'svmType', help = 'SVM type', default = SVM_C_SVC, type = long)
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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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14 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: 807
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15 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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16 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: 807
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17 parser.add_argument('--cvalue', dest = 'cvalue', help = 'SVM Cvalue', 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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18 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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19 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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20 parser.add_argument('--cfg', dest = 'configFilename', help = 'name of the classifier configuration file', required = True)
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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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21 parser.add_argument('--compute-classifications', dest = 'computeClassifications', help = 'compute the confusion matrix on the training data', action = 'store_true')
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
22
519
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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23 args = parser.parse_args()
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
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24 classifierParams = storage.ClassifierParameters(args.configFilename)
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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25
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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26 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)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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27 '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)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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28 '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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29
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 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>
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31 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>
parents:
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32 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>
parents:
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33 trainingLabelsBV = {}
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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34 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>
parents:
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35 trainingLabelsPB = {}
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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36 trainingSamplesPV = {}
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:
diff changeset
37 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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38
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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39 for k, v in imageDirectories.iteritems():
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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40 print('Loading {} samples'.format(k))
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238008f81c16 corrected bug
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 900
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41 trainingSamples, trainingLabels = cvutils.createHOGTrainingSet(v, moving.userType2Num[k], classifierParams.hogRescaleSize, classifierParams.hogNOrientations, classifierParams.hogNPixelsPerCell, classifierParams.hogBlockNorm, classifierParams.hogNCellsPerBlock)
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da1352b89d02 classification is working
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parents: 522
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42 trainingSamplesPBV[k], trainingLabelsPBV[k] = trainingSamples, trainingLabels
519
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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43 if k != 'pedestrian':
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da1352b89d02 classification is working
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 522
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44 trainingSamplesBV[k], trainingLabelsBV[k] = trainingSamples, trainingLabels
519
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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45 if k != 'car':
680
da1352b89d02 classification is working
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 522
diff changeset
46 trainingSamplesPB[k], trainingLabelsPB[k] = trainingSamples, trainingLabels
519
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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47 if k != 'bicycle':
680
da1352b89d02 classification is working
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 522
diff changeset
48 trainingSamplesPV[k], trainingLabelsPV[k] = trainingSamples, trainingLabels
519
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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49
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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50 # Training the Support Vector Machine
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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51 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 changeset
52 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP)
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 changeset
53 classifications = model.train(np.concatenate(trainingSamplesPBV.values()), np.concatenate(trainingLabelsPBV.values()), True)
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 changeset
54 if args.computeClassifications:
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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55 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)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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56 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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57
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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58 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 changeset
59 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP)
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 changeset
60 classifications = model.train(np.concatenate(trainingSamplesBV.values()), np.concatenate(trainingLabelsBV.values()), True)
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 changeset
61 if args.computeClassifications:
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 changeset
62 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)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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63 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:
diff changeset
64
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:
diff changeset
65 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
66 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP)
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 changeset
67 classifications = model.train(np.concatenate(trainingSamplesPB.values()), np.concatenate(trainingLabelsPB.values()), True)
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 changeset
68 if args.computeClassifications:
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 changeset
69 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)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
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70 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:
diff changeset
71
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:
diff changeset
72 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 changeset
73 model = ml.SVM(args.svmType, args.kernelType, args.degree, args.gamma, args.coef0, args.cvalue, args.nu, args.svmP)
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 changeset
74 classifications = model.train(np.concatenate(trainingSamplesPV.values()), np.concatenate(trainingLabelsPV.values()), True)
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 changeset
75 if args.computeClassifications:
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 changeset
76 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)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
diff changeset
77 model.save(args.directoryName + "/modelPV.xml")