Lines Matching refs:classifier

7 The work with a cascade classifier inlcudes two major stages: training and detection. Detection
9 Documentation gives some basic information about cascade classifier. Current guide is describing how
10 to train a cascade classifier: preparation of the training data and running the training applicatio…
14 There are two applications in OpenCV to train cascade classifier: opencv_haartraining and
21 train a LBP-based classifier that will provide almost the same quality as Haar-based one.
23 opencv_traincascade and opencv_haartraining store the trained classifier in different file
26 format. But opencv_traincascade and opencv_haartraining can not load (import) a classifier in
39     opencv_haartraining only. It takes a collection of marked up images, runs the classifier and
211 The next step is the training of classifier. As mentioned above opencv_traincascade or
212 opencv_haartraining may be used to train a cascade classifier, but only the newer
221         Where the trained classifier should be stored.
234         Number of positive/negative samples used in training for every classifier stage.
269         Type of stages. Only boosted classifier are supported as a stage type at the moment.
290         Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated
295         Maximal desired false alarm rate for each stage of the classifier. Overall false alarm rate
308         Maximal count of weak trees for every cascade stage. The boosted classifier (stage) will
329 Training is finished and you can test you cascade classifier!