Provided by: libopencv-dev_3.2.0+dfsg-4ubuntu0.1_amd64 

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).
OpenCV May 2010 OPENCV_TRAINCASCADE(1)