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
AUTHORS
This manual page was written by Nobuhiro Iwamatsu <[email protected]> for the Debian project (but may be used by others).