Provided by: libopencv-dev_2.4.8+dfsg1-2ubuntu1.2_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).