Lines Matching refs:positive

34 -   opencv_createsamples is used to prepare a training dataset of positive and test samples.
35     opencv_createsamples produces dataset of positive samples in a format that is supported by
50 For training we need a set of samples. There are two types of samples: negative and positive.
52 detected objects. Set of negative samples must be prepared manually, whereas set of positive samples
85 Please note that you need a large dataset of positive samples before you give it to the mentioned
87 positive sample for absolutely rigid object like an OpenCV logo, but you definetely need hundreds
88 and even thousands of positive samples for faces. In the case of faces you should consider all the
91 So, a single object image may contain a company logo. Then a large set of positive samples is
100     Name of the output file containing the positive samples for training.
113     Number of positive samples to generate.
187 In order to create positive samples from such collection, -info argument should be specified instead
198 opencv_createsamples utility may be used for examining samples stored in positive samples file. In
201 Note that for training, it does not matter how vec-files with positive samples are generated. But
202 opencv_createsamples utility is the only one way to collect/create a vector file of positive
225         vec-file with positive samples (created by opencv_createsamples utility).
234         Number of positive/negative samples used in training for every classifier stage.