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https://gitcode.com/gh_mirrors/ope/OpenFace.git
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9147dfe2f3
* Travis OpenCV4 update, testing Ubuntu with new OpenCV * Fix to Ubuntu travis * Another attempt at OpenCV 4.0 for Ubuntu * And another OpenCV attempt. * Simplifying the travis script * Ubuntu OpenCV 4 support. * Updating to OpenCV 4, for x64 windows. * Fixes to move to OpenCV 4 on windows. * Travis fix for OpenCV 4 on OSX * Renaming a lib. * Travis opencv4 fix. * Building OpenCV4 versions using appveyor. * Attempt mac travis fix. * Small travis fix. * Travis fix attempt. * First iteration in boost removal and upgrade to C++17 * Test with ocv 4.0 * Moving filesystem out of stdafx * Some more boost testing with cmake. * More CMAKE options * More compiler flag changes * Another attempt at compiler options. * Another attempt. * More filesystem stuff. * Linking to filesystem. * Cmake fix with target linking. * Attempting travis with g++-8 * Attempting to setup g++8 on travis linux. * Another travis change. * Adding OpenBLAS to travis and removing g++-8 * Fixing typo * More travis experiments. * More travis debugging. * A small directory change. * Adding some more travis changes. * travis typo fix. * Some reordering of travis, for cleaner yml * Removing `using namespace std` in order to avoid clash with byte and to make the code more consistent. * Working towards removing std::filesystem requirement, allow boost::filesystem as well. * Making boost an optional dependency * Fixing std issue. * Fixing cmake issue. * Fixing the precompiled header issue. * Another cmake boost fix. * Including missing files. * Removing unnecessary includes. * Removing more includes. * Changes to appveyor build, proper removal of VS2015 * If boost is present, do not need to link to filesystem. * Removing un-needed link library. * oops * Mac attempt at opencv4 travis. * Upgrading OCV to 4.1 on VS2018 * Downloading OpenCV binaries through a script * Triger an appveyor build. * Upgrading VS version. * Attempting VS2017 build * Adding win-32 libraries for OpenCV 4.1 * Adding OpenCV 32 bit libraries.
95 lines
3.2 KiB
C++
95 lines
3.2 KiB
C++
/***********************************************************************
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* Software License Agreement (BSD License)
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*
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* Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
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* Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
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*
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* THE BSD LICENSE
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
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* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
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* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
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* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*************************************************************************/
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#ifndef OPENCV_FLANN_GROUND_TRUTH_H_
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#define OPENCV_FLANN_GROUND_TRUTH_H_
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#include "dist.h"
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#include "matrix.h"
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namespace cvflann
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{
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template <typename Distance>
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void find_nearest(const Matrix<typename Distance::ElementType>& dataset, typename Distance::ElementType* query, int* matches, int nn,
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int skip = 0, Distance distance = Distance())
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{
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typedef typename Distance::ResultType DistanceType;
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int n = nn + skip;
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std::vector<int> match(n);
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std::vector<DistanceType> dists(n);
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dists[0] = distance(dataset[0], query, dataset.cols);
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match[0] = 0;
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int dcnt = 1;
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for (size_t i=1; i<dataset.rows; ++i) {
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DistanceType tmp = distance(dataset[i], query, dataset.cols);
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if (dcnt<n) {
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match[dcnt] = (int)i;
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dists[dcnt++] = tmp;
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}
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else if (tmp < dists[dcnt-1]) {
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dists[dcnt-1] = tmp;
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match[dcnt-1] = (int)i;
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}
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int j = dcnt-1;
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// bubble up
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while (j>=1 && dists[j]<dists[j-1]) {
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std::swap(dists[j],dists[j-1]);
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std::swap(match[j],match[j-1]);
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j--;
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}
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}
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for (int i=0; i<nn; ++i) {
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matches[i] = match[i+skip];
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}
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}
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template <typename Distance>
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void compute_ground_truth(const Matrix<typename Distance::ElementType>& dataset, const Matrix<typename Distance::ElementType>& testset, Matrix<int>& matches,
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int skip=0, Distance d = Distance())
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{
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for (size_t i=0; i<testset.rows; ++i) {
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find_nearest<Distance>(dataset, testset[i], matches[i], (int)matches.cols, skip, d);
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}
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}
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}
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#endif //OPENCV_FLANN_GROUND_TRUTH_H_
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