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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.
117 lines
3.2 KiB
C++
117 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_DATASET_H_
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#define OPENCV_FLANN_DATASET_H_
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#include <stdio.h>
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#include "general.h"
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namespace cvflann
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{
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/**
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* Class that implements a simple rectangular matrix stored in a memory buffer and
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* provides convenient matrix-like access using the [] operators.
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*/
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template <typename T>
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class Matrix
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{
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public:
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typedef T type;
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size_t rows;
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size_t cols;
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size_t stride;
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T* data;
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Matrix() : rows(0), cols(0), stride(0), data(NULL)
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{
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}
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Matrix(T* data_, size_t rows_, size_t cols_, size_t stride_ = 0) :
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rows(rows_), cols(cols_), stride(stride_), data(data_)
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{
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if (stride==0) stride = cols;
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}
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/**
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* Convenience function for deallocating the storage data.
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*/
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CV_DEPRECATED void free()
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{
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fprintf(stderr, "The cvflann::Matrix<T>::free() method is deprecated "
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"and it does not do any memory deallocation any more. You are"
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"responsible for deallocating the matrix memory (by doing"
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"'delete[] matrix.data' for example)");
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}
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/**
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* Operator that return a (pointer to a) row of the data.
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*/
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T* operator[](size_t index) const
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{
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return data+index*stride;
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}
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};
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class UntypedMatrix
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{
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public:
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size_t rows;
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size_t cols;
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void* data;
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flann_datatype_t type;
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UntypedMatrix(void* data_, long rows_, long cols_) :
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rows(rows_), cols(cols_), data(data_)
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{
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}
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~UntypedMatrix()
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{
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}
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template<typename T>
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Matrix<T> as()
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{
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return Matrix<T>((T*)data, rows, cols);
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}
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};
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}
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#endif //OPENCV_FLANN_DATASET_H_
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