You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
127 lines
4.4 KiB
127 lines
4.4 KiB
/* |
|
|
|
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__ |
|
|
|
class Stump |
|
{ |
|
public: |
|
/* Train stump 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 chosen feature index. Feature enumeration starts from 0 |
|
*/ |
|
int train(const cv::Mat_<int>& data, const cv::Mat_<int>& labels); |
|
|
|
/* Predict object class given |
|
|
|
value — feature value. Feature must be the same as chose during training |
|
stump |
|
|
|
Returns object class from {-1, +1} |
|
*/ |
|
int predict(int value); |
|
|
|
private: |
|
/* Stump decision threshold */ |
|
int threshold_; |
|
/* Stump polarity, can be from {-1, +1} */ |
|
int polarity_; |
|
/* Stump decision rule: |
|
h(value) = polarity * sign(value - threshold) |
|
*/ |
|
}; |
|
|
|
/* Save Stump to FileStorage */ |
|
cv::FileStorage& operator<< (cv::FileStorage& out, const Stump& classifier); |
|
/* Load Stump from FileStorage */ |
|
cv::FileStorage& operator>> (cv::FileStorage& in, Stump& classifier); |
|
|
|
class WaldBoost |
|
{ |
|
public: |
|
/* Initialize WaldBoost cascade with default of specified parameters */ |
|
WaldBoost(const WaldBoostParams& = WaldBoostParams()); |
|
|
|
/* 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 cv::Mat_<int>& data, |
|
const cv::Mat_<int>& 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 ACFFeatureEvaluator& feature_evaluator); |
|
|
|
private: |
|
/* Parameters for cascade training */ |
|
WaldBoostParams params_; |
|
/* Stumps in cascade */ |
|
std::vector<Stump> stumps_; |
|
/* Weight for stumps in cascade linear combination */ |
|
std::vector<float> stump_weights_; |
|
/* Rejection thresholds for linear combination at every stump evaluation */ |
|
std::vector<float> thresholds_; |
|
}; |
|
|
|
/* Save WaldBoost to FileStorage */ |
|
cv::FileStorage& operator<< (cv::FileStorage& out, const WaldBoost& classifier); |
|
/* Load WaldBoost from FileStorage */ |
|
cv::FileStorage& operator>> (cv::FileStorage& in, WaldBoost& classifier); |
|
|
|
#endif /* __OPENCV_ADAS_WALDBOOST_HPP__ */
|
|
|