rknn-toolkit2-v2.1.0-2024-08-08
/
rknpu2
/examples
/3rdparty
/opencv
/opencv-linux-aarch64
/include
/opencv2
/flann
/linear_index.h
/*********************************************************************** | |
* Software License Agreement (BSD License) | |
* | |
* Copyright 2008-2009 Marius Muja ([email protected]). All rights reserved. | |
* Copyright 2008-2009 David G. Lowe ([email protected]). All rights reserved. | |
* | |
* THE BSD LICENSE | |
* | |
* Redistribution and use in source and binary forms, with or without | |
* modification, are permitted provided that the following conditions | |
* are met: | |
* | |
* 1. Redistributions of source code must retain the above copyright | |
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* 2. Redistributions in binary form must reproduce the above copyright | |
* notice, this list of conditions and the following disclaimer in the | |
* documentation and/or other materials provided with the distribution. | |
* | |
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR | |
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES | |
* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. | |
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*************************************************************************/ | |
namespace cvflann | |
{ | |
struct LinearIndexParams : public IndexParams | |
{ | |
LinearIndexParams() | |
{ | |
(* this)["algorithm"] = FLANN_INDEX_LINEAR; | |
} | |
}; | |
template <typename Distance> | |
class LinearIndex : public NNIndex<Distance> | |
{ | |
public: | |
typedef typename Distance::ElementType ElementType; | |
typedef typename Distance::ResultType DistanceType; | |
LinearIndex(const Matrix<ElementType>& inputData, const IndexParams& params = LinearIndexParams(), | |
Distance d = Distance()) : | |
dataset_(inputData), index_params_(params), distance_(d) | |
{ | |
} | |
LinearIndex(const LinearIndex&); | |
LinearIndex& operator=(const LinearIndex&); | |
flann_algorithm_t getType() const CV_OVERRIDE | |
{ | |
return FLANN_INDEX_LINEAR; | |
} | |
size_t size() const CV_OVERRIDE | |
{ | |
return dataset_.rows; | |
} | |
size_t veclen() const CV_OVERRIDE | |
{ | |
return dataset_.cols; | |
} | |
int usedMemory() const CV_OVERRIDE | |
{ | |
return 0; | |
} | |
void buildIndex() CV_OVERRIDE | |
{ | |
/* nothing to do here for linear search */ | |
} | |
void saveIndex(FILE*) CV_OVERRIDE | |
{ | |
/* nothing to do here for linear search */ | |
} | |
void loadIndex(FILE*) CV_OVERRIDE | |
{ | |
/* nothing to do here for linear search */ | |
index_params_["algorithm"] = getType(); | |
} | |
void findNeighbors(ResultSet<DistanceType>& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/) CV_OVERRIDE | |
{ | |
ElementType* data = dataset_.data; | |
for (size_t i = 0; i < dataset_.rows; ++i, data += dataset_.cols) { | |
DistanceType dist = distance_(data, vec, dataset_.cols); | |
resultSet.addPoint(dist, (int)i); | |
} | |
} | |
IndexParams getParameters() const CV_OVERRIDE | |
{ | |
return index_params_; | |
} | |
private: | |
/** The dataset */ | |
const Matrix<ElementType> dataset_; | |
/** Index parameters */ | |
IndexParams index_params_; | |
/** Index distance */ | |
Distance distance_; | |
}; | |
} | |