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77 lines
3.2 KiB
77 lines
3.2 KiB
/*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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#include <sft/dataset.hpp> |
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#include <opencv2/highgui.hpp> |
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#include <iostream> |
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#include <queue> |
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// in the default case data folders should be aligned as following: |
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// 1. positives: <train or test path>/octave_<octave number>/pos/*.png |
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// 2. negatives: <train or test path>/octave_<octave number>/neg/*.png |
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sft::ScaledDataset::ScaledDataset(const string& path, const int oct) |
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{ |
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dprintf("%s\n", "get dataset file names..."); |
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dprintf("%s\n", "Positives globing..."); |
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cv::glob(path + "/pos/octave_" + cv::format("%d", oct) + "/*.png", pos); |
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dprintf("%s\n", "Negatives globing..."); |
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cv::glob(path + "/neg/octave_" + cv::format("%d", oct) + "/*.png", neg); |
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// Check: files not empty |
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CV_Assert(pos.size() != size_t(0)); |
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CV_Assert(neg.size() != size_t(0)); |
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} |
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cv::Mat sft::ScaledDataset::get(SampleType type, int idx) const |
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{ |
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const std::string& src = (type == POSITIVE)? pos[idx]: neg[idx]; |
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return cv::imread(src); |
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} |
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int sft::ScaledDataset::available(SampleType type) const |
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{ |
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return (int)((type == POSITIVE)? pos.size():neg.size()); |
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} |
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sft::ScaledDataset::~ScaledDataset(){}
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