Renesas / opencv-lib

openCV library for Renesas RZ/A

Dependents:   RZ_A2M_Mbed_samples

include/opencv2/flann/sampling.h@0:0e0631af0305, 2021-01-29 (annotated)

Committer:
RyoheiHagimoto
Date:
Fri Jan 29 04:53:38 2021 +0000
Revision:
0:0e0631af0305
copied from https://github.com/d-kato/opencv-lib.

Who changed what in which revision?

UserRevisionLine numberNew contents of line
RyoheiHagimoto 0:0e0631af0305 1 /***********************************************************************
RyoheiHagimoto 0:0e0631af0305 2 * Software License Agreement (BSD License)
RyoheiHagimoto 0:0e0631af0305 3 *
RyoheiHagimoto 0:0e0631af0305 4 * Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
RyoheiHagimoto 0:0e0631af0305 5 * Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
RyoheiHagimoto 0:0e0631af0305 6 *
RyoheiHagimoto 0:0e0631af0305 7 * Redistribution and use in source and binary forms, with or without
RyoheiHagimoto 0:0e0631af0305 8 * modification, are permitted provided that the following conditions
RyoheiHagimoto 0:0e0631af0305 9 * are met:
RyoheiHagimoto 0:0e0631af0305 10 *
RyoheiHagimoto 0:0e0631af0305 11 * 1. Redistributions of source code must retain the above copyright
RyoheiHagimoto 0:0e0631af0305 12 * notice, this list of conditions and the following disclaimer.
RyoheiHagimoto 0:0e0631af0305 13 * 2. Redistributions in binary form must reproduce the above copyright
RyoheiHagimoto 0:0e0631af0305 14 * notice, this list of conditions and the following disclaimer in the
RyoheiHagimoto 0:0e0631af0305 15 * documentation and/or other materials provided with the distribution.
RyoheiHagimoto 0:0e0631af0305 16 *
RyoheiHagimoto 0:0e0631af0305 17 * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
RyoheiHagimoto 0:0e0631af0305 18 * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
RyoheiHagimoto 0:0e0631af0305 19 * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
RyoheiHagimoto 0:0e0631af0305 20 * IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
RyoheiHagimoto 0:0e0631af0305 21 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
RyoheiHagimoto 0:0e0631af0305 22 * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
RyoheiHagimoto 0:0e0631af0305 23 * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
RyoheiHagimoto 0:0e0631af0305 24 * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
RyoheiHagimoto 0:0e0631af0305 25 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
RyoheiHagimoto 0:0e0631af0305 26 * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
RyoheiHagimoto 0:0e0631af0305 27 *************************************************************************/
RyoheiHagimoto 0:0e0631af0305 28
RyoheiHagimoto 0:0e0631af0305 29
RyoheiHagimoto 0:0e0631af0305 30 #ifndef OPENCV_FLANN_SAMPLING_H_
RyoheiHagimoto 0:0e0631af0305 31 #define OPENCV_FLANN_SAMPLING_H_
RyoheiHagimoto 0:0e0631af0305 32
RyoheiHagimoto 0:0e0631af0305 33 #include "matrix.h"
RyoheiHagimoto 0:0e0631af0305 34 #include "random.h"
RyoheiHagimoto 0:0e0631af0305 35
RyoheiHagimoto 0:0e0631af0305 36 namespace cvflann
RyoheiHagimoto 0:0e0631af0305 37 {
RyoheiHagimoto 0:0e0631af0305 38
RyoheiHagimoto 0:0e0631af0305 39 template<typename T>
RyoheiHagimoto 0:0e0631af0305 40 Matrix<T> random_sample(Matrix<T>& srcMatrix, long size, bool remove = false)
RyoheiHagimoto 0:0e0631af0305 41 {
RyoheiHagimoto 0:0e0631af0305 42 Matrix<T> newSet(new T[size * srcMatrix.cols], size,srcMatrix.cols);
RyoheiHagimoto 0:0e0631af0305 43
RyoheiHagimoto 0:0e0631af0305 44 T* src,* dest;
RyoheiHagimoto 0:0e0631af0305 45 for (long i=0; i<size; ++i) {
RyoheiHagimoto 0:0e0631af0305 46 long r = rand_int((int)(srcMatrix.rows-i));
RyoheiHagimoto 0:0e0631af0305 47 dest = newSet[i];
RyoheiHagimoto 0:0e0631af0305 48 src = srcMatrix[r];
RyoheiHagimoto 0:0e0631af0305 49 std::copy(src, src+srcMatrix.cols, dest);
RyoheiHagimoto 0:0e0631af0305 50 if (remove) {
RyoheiHagimoto 0:0e0631af0305 51 src = srcMatrix[srcMatrix.rows-i-1];
RyoheiHagimoto 0:0e0631af0305 52 dest = srcMatrix[r];
RyoheiHagimoto 0:0e0631af0305 53 std::copy(src, src+srcMatrix.cols, dest);
RyoheiHagimoto 0:0e0631af0305 54 }
RyoheiHagimoto 0:0e0631af0305 55 }
RyoheiHagimoto 0:0e0631af0305 56 if (remove) {
RyoheiHagimoto 0:0e0631af0305 57 srcMatrix.rows -= size;
RyoheiHagimoto 0:0e0631af0305 58 }
RyoheiHagimoto 0:0e0631af0305 59 return newSet;
RyoheiHagimoto 0:0e0631af0305 60 }
RyoheiHagimoto 0:0e0631af0305 61
RyoheiHagimoto 0:0e0631af0305 62 template<typename T>
RyoheiHagimoto 0:0e0631af0305 63 Matrix<T> random_sample(const Matrix<T>& srcMatrix, size_t size)
RyoheiHagimoto 0:0e0631af0305 64 {
RyoheiHagimoto 0:0e0631af0305 65 UniqueRandom rand((int)srcMatrix.rows);
RyoheiHagimoto 0:0e0631af0305 66 Matrix<T> newSet(new T[size * srcMatrix.cols], size,srcMatrix.cols);
RyoheiHagimoto 0:0e0631af0305 67
RyoheiHagimoto 0:0e0631af0305 68 T* src,* dest;
RyoheiHagimoto 0:0e0631af0305 69 for (size_t i=0; i<size; ++i) {
RyoheiHagimoto 0:0e0631af0305 70 long r = rand.next();
RyoheiHagimoto 0:0e0631af0305 71 dest = newSet[i];
RyoheiHagimoto 0:0e0631af0305 72 src = srcMatrix[r];
RyoheiHagimoto 0:0e0631af0305 73 std::copy(src, src+srcMatrix.cols, dest);
RyoheiHagimoto 0:0e0631af0305 74 }
RyoheiHagimoto 0:0e0631af0305 75 return newSet;
RyoheiHagimoto 0:0e0631af0305 76 }
RyoheiHagimoto 0:0e0631af0305 77
RyoheiHagimoto 0:0e0631af0305 78 } // namespace
RyoheiHagimoto 0:0e0631af0305 79
RyoheiHagimoto 0:0e0631af0305 80
RyoheiHagimoto 0:0e0631af0305 81 #endif /* OPENCV_FLANN_SAMPLING_H_ */