EasyCV
0.9.36
Easy! Computer Vision
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Namespaces | |
bowDemo_ROC | |
Variables | |
tuple | bowDemo_ROC.stime = time.clock() |
tuple | bowDemo_ROC.trainsetPos = easy.createRunSet( 'corporate_logos' ) |
tuple | bowDemo_ROC.trainsetNeg = easy.createRunSet( 'trainImg' ) |
tuple | bowDemo_ROC.runset = cvac.RunSet() |
string | bowDemo_ROC.strTrainer = "BOW_Trainer" |
string | bowDemo_ROC.strDetector = "BOW_Detector" |
list | bowDemo_ROC.list_nWord = [5,10,15,20] |
bowDemo_ROC.doWithNegativeSample = True | |
list | bowDemo_ROC.contenders = [] |
With background data. More... | |
tuple | bowDemo_ROC.c1 = evaluate.Contender("bowROC_binary_"+str(nWord)) |
tuple | bowDemo_ROC.trainer = easy.getTrainer(c1.trainerString) |
tuple | bowDemo_ROC.trainerProps = easy.getTrainerProperties(trainer) |
list | bowDemo_ROC.rocData_optimal = [] |
tuple | bowDemo_ROC.detectorData |
tuple | bowDemo_ROC.rocZip = easy.makeROCdata(rocData_optimal) |
tuple | bowDemo_ROC.detector = easy.getDetector( strDetector ) |
tuple | bowDemo_ROC.detectorProps = easy.getDetectorProperties(detector) |
string | bowDemo_ROC.priority = "recall" |
tuple | bowDemo_ROC.results = easy.detect( detector, rocZip, runset, detectorProperties = detectorProps) |
tuple | bowDemo_ROC.opPoints = easy.getSensitivityOptions(rocZip) |
tuple | bowDemo_ROC.etime = time.clock() |