jsky's profile - activity

my bad. i am using cv2 in detection but cv3 in training (as above).

@StevenPuttemans

hmm i see.. but it seems that i am calling it in detection and getting decent results. i guess its because its still in the python api? as im using python. nowhere do i tell it to use a particular evaluator, i just tell it about the classifier and then call detectMultiscale ..

but i call pkg-config --modversion opencv : 3.0.0 and opencv_traincascade ... -featureType HOG and i get back a cascade that seems to use HOG features <featureType>HOG</featureType>.. Are you saying this is using an SVM implementation as opposed to decision tree?

ive trained a few haar and hog 20 stage classifiers using train_cascade. And when they seemed to not train anymore, id cancel and still load the provided stages and have a classifier.xml up to that stage that i could use. But my latest lbp that i trained doesnt have a classifier.xml only the (stage1.xml ... stage15.xml) and params.xml Any reason this lbp one hasnt? Can i manually combine the stage xmls to do the same? This batch of trainings has been using 1000:4000 (pos:neg) samples

so.. it is not documented anymore but is still callable? because im pretty sure im calling it and getting back a classifier that seems to work decently in certain params and situations (opencv 3 python API)

real-time car detection can be achieved using Viola Jones framework with traincascade, which uses Adaboost, Waldboost is an optimal algorithm for Adaboost.