EasyCV
0.9.36
Easy! Computer Vision
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Variables | |
string | objname = 'windshield' |
string | corpus_fname = 'corpus/labelme_' |
tuple | cs = easy.getCorpusServer( "PythonCorpusService:default -p 10021") |
tuple | corpus = easy.openCorpus( corpus_fname, corpusServer=cs ) |
tuple | posPurpose = easy.getPurpose('pos') |
tuple | negPurpose = easy.getPurpose('neg') |
tuple | trainset = cvac.RunSet() |
tuple | correct = easy.isProperRunSet(trainset, deleteInvalid=True) |
tuple | trainer = easy.getTrainer( "BOW_Trainer:default -p 10103") |
tuple | trainedModel = easy.train( trainer, trainset ) |
tuple | zipfname = easy.getFSPath( trainedModel ) |
tuple | testset = easy.createRunSet( "testImg" ) |
tuple | detector = easy.getDetector( "BOW_Detector" ) |
tuple | results = easy.detect( detector, trainedModel, testset ) |
Template for the CS4330 Recognition module.
tuple Recognition.corpus = easy.openCorpus( corpus_fname, corpusServer=cs ) |
string Recognition.corpus_fname = 'corpus/labelme_' |
tuple Recognition.correct = easy.isProperRunSet(trainset, deleteInvalid=True) |
tuple Recognition.cs = easy.getCorpusServer( "PythonCorpusService:default -p 10021") |
tuple Recognition.detector = easy.getDetector( "BOW_Detector" ) |
tuple Recognition.negPurpose = easy.getPurpose('neg') |
string Recognition.objname = 'windshield' |
tuple Recognition.posPurpose = easy.getPurpose('pos') |
tuple Recognition.results = easy.detect( detector, trainedModel, testset ) |
tuple Recognition.testset = easy.createRunSet( "testImg" ) |
tuple Recognition.trainer = easy.getTrainer( "BOW_Trainer:default -p 10103") |
tuple Recognition.trainset = cvac.RunSet() |
tuple Recognition.zipfname = easy.getFSPath( trainedModel ) |