Provided by: libopencv-dev_4.2.0+dfsg-5_amd64 bug

NAME

       opencv_traincascade - transcascade application

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 feature 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|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).