bowDemo_ROC Namespace Reference

Variables
tuple	stime = time.clock()
tuple	trainsetPos = easy.createRunSet( 'corporate_logos' )
tuple	trainsetNeg = easy.createRunSet( 'trainImg' )
tuple	runset = cvac.RunSet()
string	strTrainer = "BOW_Trainer"
string	strDetector = "BOW_Detector"
list	list_nWord = [5,10,15,20]
	doWithNegativeSample = True
list	contenders = []
	With background data. More...
tuple	c1 = evaluate.Contender("bowROC_binary_"+str(nWord))
tuple	trainer = easy.getTrainer(c1.trainerString)
tuple	trainerProps = easy.getTrainerProperties(trainer)
list	rocData_optimal = []
tuple	detectorData
tuple	rocZip = easy.makeROCdata(rocData_optimal)
tuple	detector = easy.getDetector( strDetector )
tuple	detectorProps = easy.getDetectorProperties(detector)
string	priority = "recall"
tuple	results = easy.detect( detector, rocZip, runset, detectorProperties = detectorProps)
tuple	opPoints = easy.getSensitivityOptions(rocZip)
tuple	etime = time.clock()

Detailed Description

Generate ROC curve with Bag-of-Words algorithm.
Among optimal operating points, 
the best point and the corresponding detectorData will be returned  
generated by matz 7/16/2013
updated by k.lee May/2014

Variable Documentation

tuple bowDemo_ROC.c1 = evaluate.Contender("bowROC_binary_"+str(nWord))

list bowDemo_ROC.contenders = []

With background data.

Without background data.

tuple bowDemo_ROC.detector = easy.getDetector( strDetector )

tuple bowDemo_ROC.detectorData

Initial value:

= easy.train( trainer, runset, \
                                   trainerProperties=contenders[idx].trainerProps )

tuple bowDemo_ROC.detectorProps = easy.getDetectorProperties(detector)

bowDemo_ROC.doWithNegativeSample = True

tuple bowDemo_ROC.etime = time.clock()

list bowDemo_ROC.list_nWord = [5,10,15,20]

tuple bowDemo_ROC.opPoints = easy.getSensitivityOptions(rocZip)

string bowDemo_ROC.priority = "recall"

tuple bowDemo_ROC.results = easy.detect( detector, rocZip, runset, detectorProperties = detectorProps)

list bowDemo_ROC.rocData_optimal = []

tuple bowDemo_ROC.rocZip = easy.makeROCdata(rocData_optimal)

tuple bowDemo_ROC.runset = cvac.RunSet()

tuple bowDemo_ROC.stime = time.clock()

string bowDemo_ROC.strDetector = "BOW_Detector"

string bowDemo_ROC.strTrainer = "BOW_Trainer"

list bowDemo_ROC.trainer = easy.getTrainer(c1.trainerString)

tuple bowDemo_ROC.trainerProps = easy.getTrainerProperties(trainer)

tuple bowDemo_ROC.trainsetNeg = easy.createRunSet( 'trainImg' )

tuple bowDemo_ROC.trainsetPos = easy.createRunSet( 'corporate_logos' )