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,
OREand 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 <[email protected]> for the Debian project (but may be used by others).