mirror of
https://github.com/opencv/opencv_contrib.git
synced 2025-10-21 14:41:58 +08:00
102 lines
3.4 KiB
C++
102 lines
3.4 KiB
C++
/*
|
|
|
|
By downloading, copying, installing or using the software you agree to this
|
|
license. If you do not agree to this license, do not download, install,
|
|
copy or use the software.
|
|
|
|
|
|
License Agreement
|
|
For Open Source Computer Vision Library
|
|
(3-clause BSD License)
|
|
|
|
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
|
Third party copyrights are property of their respective owners.
|
|
|
|
Redistribution and use in source and binary forms, with or without modification,
|
|
are permitted provided that the following conditions are met:
|
|
|
|
* Redistributions of source code must retain the above copyright notice,
|
|
this list of conditions and the following disclaimer.
|
|
|
|
* Redistributions in binary form must reproduce the above copyright notice,
|
|
this list of conditions and the following disclaimer in the documentation
|
|
and/or other materials provided with the distribution.
|
|
|
|
* Neither the names of the copyright holders nor the names of the contributors
|
|
may be used to endorse or promote products derived from this software
|
|
without specific prior written permission.
|
|
|
|
This software is provided by the copyright holders and contributors "as is" and
|
|
any express or implied warranties, including, but not limited to, the implied
|
|
warranties of merchantability and fitness for a particular purpose are
|
|
disclaimed. In no event shall copyright holders or contributors be liable for
|
|
any direct, indirect, incidental, special, exemplary, or consequential damages
|
|
(including, but not limited to, procurement of substitute goods or services;
|
|
loss of use, data, or profits; or business interruption) however caused
|
|
and on any theory of liability, whether in contract, strict liability,
|
|
or tort (including negligence or otherwise) arising in any way out of
|
|
the use of this software, even if advised of the possibility of such damage.
|
|
|
|
*/
|
|
|
|
#ifndef __OPENCV_ADAS_WALDBOOST_HPP__
|
|
#define __OPENCV_ADAS_WALDBOOST_HPP__
|
|
|
|
#include <opencv2/core.hpp>
|
|
|
|
#include <opencv2/xobjdetect/acffeature.hpp>
|
|
#include <opencv2/xobjdetect/stump.hpp>
|
|
|
|
namespace cv
|
|
{
|
|
namespace adas
|
|
{
|
|
|
|
struct CV_EXPORTS WaldBoostParams
|
|
{
|
|
int weak_count;
|
|
float alpha;
|
|
};
|
|
|
|
class CV_EXPORTS WaldBoost
|
|
{
|
|
public:
|
|
/* Initialize WaldBoost cascade with default of specified parameters */
|
|
WaldBoost(const WaldBoostParams& params);
|
|
|
|
/* Train WaldBoost cascade for given data
|
|
|
|
data — matrix of feature values, size M x N, one feature per row
|
|
|
|
labels — matrix of sample class labels, size 1 x N. Labels can be from
|
|
{-1, +1}
|
|
|
|
Returns feature indices chosen for cascade.
|
|
Feature enumeration starts from 0
|
|
*/
|
|
std::vector<int> train(const Mat& data,
|
|
const Mat& labels);
|
|
|
|
/* Predict object class given object that can compute object features
|
|
|
|
feature_evaluator — object that can compute features by demand
|
|
|
|
Returns confidence_value — measure of confidense that object
|
|
is from class +1
|
|
*/
|
|
float predict(const Ptr<ACFFeatureEvaluator>& feature_evaluator);
|
|
|
|
private:
|
|
/* Parameters for cascade training */
|
|
WaldBoostParams params_;
|
|
/* Stumps in cascade */
|
|
std::vector<Stump> stumps_;
|
|
/* Rejection thresholds for linear combination at every stump evaluation */
|
|
std::vector<float> thresholds_;
|
|
};
|
|
|
|
} /* namespace adas */
|
|
} /* namespace cv */
|
|
|
|
#endif /* __OPENCV_ADAS_WALDBOOST_HPP__ */
|