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| OPENCV_TRAINCASCADE(1) | User Commands | OPENCV_TRAINCASCADE(1) |
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).
| May 2010 | OpenCV |