Provided by: libcv-dev_2.1.0-3ubuntu1_i386 bug

NAME

       opencv_traincascade

SYNOPSIS

       opencv_traincascade [options]

DESCRIPTION

       traincascade application.

OPTIONS

       opencv_traincascade supports the following options:

BASIC OPTIONS

        -data cascade_dir_name

        -vec vec_file_name

         -bg  background_file_name  "-numPos  " number_of_positive_samples The
       default is 2000.

        -numNeg number_of_negative_samples The default is 1000.

        -num Stagesnumber_of_stages The default is 20.

        -precalcValBufSize precalculated_vals_buffer_size_in_Mb The default is
       256.

        -precalcIdxBufSize precalculated_idxs_buffer_size_in_Mb The default is
       256.

        -baseFormatSave

CASCADE OPTIONS

        -stageType The default is BOOST.

        -featureType Set feauture type . You can  select  HAAR  or  LBP.   The
       default is HAAR.

        -w sampleWidth The default is 24.

        -h sampleHeight The default is 24.

BOOST OPTIONS

         -bt  {DAB|RAB|LB|GAB} The type of the applied boosting algorithm. You
       can choose  between  Discrete  AdaBoost  (DAB),  Real  AdaBoost  (RAB),
       LogitBoost (LB) and Gentle AdaBoost (GAB). The default is GAB.

        -minHitRate min_hit_rate The default is 0.995.

        -maxFalseAlarmRate max_false_alarm_rate The default is 0.5.

        -weightTrimRate weight_trim_rate The default is 0.95.

        -maxDepth max_depth_of_weak_tree The default is 1.

        -maxWeakCount max_weak_tree_count The default is 100.

HAARFEATURE OPTIONS

         -mode  <BASIC(default)|CORE|ALL  The  type of the applied haarFeature
       mode. You can choose between BASIC, ORE and ALL. The default is BASIC.

EXAMPLES

       TODO

SEE ALSO

       opencv_haartraing(1), opencv_performance(1)

       More information and examples can be found in the OpenCV documentation.

AUTHORS

       This manual page was written by Nobuhiro Iwamatsu <iwamatsu@debian.org>
       for the Debian project (but may be used by others).