full_image_corpus Namespace Reference

Functions
def	wait

Variables
tuple	corpus1 = easy.openCorpus( "corpus/CvacCorpusTest.properties" )
tuple	lablist2 = easy.getLabelableList( "trainImg" )
tuple	categories2 = easy.getCategories(lablist2)
tuple	rs1 = easy.createRunSet( categories1['CA_flag']+categories2['ca'], "0" )
tuple	detector = easy.getDetector( "BOW_Detector" )
string	modelfile = "detectors/bowUSKOCA.zip"
tuple	results1 = easy.detect( detector, modelfile, rs1 )
tuple	rs2 = easy.createRunSet( categories1['US_flag']+categories2['us'], "2" )
tuple	results2 = easy.detect( detector, modelfile, rs2 )
dictionary	foundmp = {'0':'1', '1':'3', '2':'2'}

Detailed Description

Easy!  mini tutorial
Utilize a Corpus of images with full-image labels
matz 6/19/2013

Function Documentation

def full_image_corpus.wait

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Variable Documentation

tuple full_image_corpus.categories2 = easy.getCategories(lablist2)

tuple full_image_corpus.corpus1 = easy.openCorpus( "corpus/CvacCorpusTest.properties" )

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

dictionary full_image_corpus.foundmp = {'0':'1', '1':'3', '2':'2'}

tuple full_image_corpus.lablist2 = easy.getLabelableList( "trainImg" )

string full_image_corpus.modelfile = "detectors/bowUSKOCA.zip"

tuple full_image_corpus.results1 = easy.detect( detector, modelfile, rs1 )

tuple full_image_corpus.results2 = easy.detect( detector, modelfile, rs2 )

tuple full_image_corpus.rs1 = easy.createRunSet( categories1['CA_flag']+categories2['ca'], "0" )

tuple full_image_corpus.rs2 = easy.createRunSet( categories1['US_flag']+categories2['us'], "2" )