117 lines
4.3 KiB
C++
117 lines
4.3 KiB
C++
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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// Trating application for Soft Cascades.
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#include <sft/common.hpp>
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#include <sft/octave.hpp>
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int main(int argc, char** argv)
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{
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// hard coded now
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int nfeatures = 50;
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int npositives = 10;
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int nnegatives = 10;
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int nsamples = npositives + nnegatives;
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sft::Octave boost;
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cv::Mat train_data(nfeatures, nsamples, CV_32FC1);
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// cv::RNG rng;
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// for (int y = 0; y < nfeatures; ++y)
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// for (int x = 0; x < nsamples; ++x)
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// train_data.at<float>(y, x) = rng.uniform(0.f, 1.f);
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// int tflag = CV_COL_SAMPLE;
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// Mat responses(nsamples, 1, CV_32FC1);
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// for (int y = 0; y < nsamples; ++y)
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// responses.at<float>(y, 0) = (y < npositives) ? 1.f : 0.f;
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// Mat var_idx(1, nfeatures, CV_32SC1);
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// for (int x = 0; x < nfeatures; ++x)
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// var_idx.at<int>(0, x) = x;
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// // Mat sample_idx;
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// Mat sample_idx(1, nsamples, CV_32SC1);
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// for (int x = 0; x < nsamples; ++x)
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// sample_idx.at<int>(0, x) = x;
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// Mat var_type(1, nfeatures + 1, CV_8UC1);
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// for (int x = 0; x < nfeatures; ++x)
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// var_type.at<uchar>(0, x) = CV_VAR_ORDERED;
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// var_type.at<uchar>(0, nfeatures) = CV_VAR_CATEGORICAL;
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// Mat missing_mask;
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// CvBoostParams params;
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// {
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// params.max_categories = 10;
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// params.max_depth = 2;
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// params.min_sample_count = 2;
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// params.cv_folds = 0;
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// params.truncate_pruned_tree = false;
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// /// ??????????????????
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// params.regression_accuracy = 0.01;
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// params.use_surrogates = false;
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// params.use_1se_rule = false;
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// ///////// boost params
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// params.boost_type = CvBoost::GENTLE;
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// params.weak_count = 1;
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// params.split_criteria = CvBoost::SQERR;
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// params.weight_trim_rate = 0.95;
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// }
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// bool update = false;
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// boost.train(train_data, tflag, responses,
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// var_idx, sample_idx, var_type, missing_mask, params, update);
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// CvFileStorage* fs = cvOpenFileStorage( "/home/kellan/train_res.xml", 0, CV_STORAGE_WRITE );
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// boost.write(fs, "test_res");
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// cvReleaseFileStorage( &fs );
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}
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