Variables
tuple	trainset1 = easy.createRunSet( "corporate_logos" )

tuple	trainer = easy.getTrainer( "BOW_Trainer")

tuple	model1 = easy.train( trainer, trainset1 )

tuple	testset1 = easy.createRunSet( "testImg", "UNPURPOSED" )

tuple	detector = easy.getDetector( "BOW_Detector" )

tuple	result1 = easy.detect( detector, model1, testset1 )

string	reject_folder = easy.CVAC_DataDir+"/corporate_logos_round2/reject"

list	nologos = ["TestKrFlag.jpg", "italia.jpg", "korean-american-flag.jpg", "TestUsFlag.jpg"]

tuple	fname = os.path.join(root, filename)

string	newf = reject_folder+"/"

list	mapwithreject = trainset1['classmap']

tuple	trainset2 = easy.createRunSet( "corporate_logos_round2", classmap=mapwithreject )

tuple	model2 = easy.train( trainer, trainset2 )

Detailed Description

Easy!  mini tutorial
Repeatedly train and evaluate for efficient label use; bootstrap.
matz 6/21/2013

Variable Documentation

tuple bootstrapping.detector = easy.getDetector( "BOW_Detector" )

tuple bootstrapping.fname = os.path.join(root, filename)

list bootstrapping.mapwithreject = trainset1['classmap']

tuple bootstrapping.model1 = easy.train( trainer, trainset1 )

tuple bootstrapping.model2 = easy.train( trainer, trainset2 )

string bootstrapping.newf = reject_folder+"/"

list bootstrapping.nologos = ["TestKrFlag.jpg", "italia.jpg", "korean-american-flag.jpg", "TestUsFlag.jpg"]

string bootstrapping.reject_folder = easy.CVAC_DataDir+"/corporate_logos_round2/reject"

tuple bootstrapping.result1 = easy.detect( detector, model1, testset1 )

tuple bootstrapping.testset1 = easy.createRunSet( "testImg", "UNPURPOSED" )

tuple bootstrapping.trainer = easy.getTrainer( "BOW_Trainer")

tuple bootstrapping.trainset1 = easy.createRunSet( "corporate_logos" )

tuple bootstrapping.trainset2 = easy.createRunSet( "corporate_logos_round2", classmap=mapwithreject )