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 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|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).
