/work/install-coverage/include/opencv4/opencv2/flann/saving.h
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1 | | /*********************************************************************** |
2 | | * Software License Agreement (BSD License) |
3 | | * |
4 | | * Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved. |
5 | | * Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved. |
6 | | * |
7 | | * Redistribution and use in source and binary forms, with or without |
8 | | * modification, are permitted provided that the following conditions |
9 | | * are met: |
10 | | * |
11 | | * 1. Redistributions of source code must retain the above copyright |
12 | | * notice, this list of conditions and the following disclaimer. |
13 | | * 2. Redistributions in binary form must reproduce the above copyright |
14 | | * notice, this list of conditions and the following disclaimer in the |
15 | | * documentation and/or other materials provided with the distribution. |
16 | | * |
17 | | * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR |
18 | | * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES |
19 | | * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. |
20 | | * IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, |
21 | | * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT |
22 | | * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE NNIndexGOODS OR SERVICES; LOSS OF USE, |
23 | | * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY |
24 | | * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
25 | | * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF |
26 | | * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
27 | | *************************************************************************/ |
28 | | |
29 | | #ifndef OPENCV_FLANN_SAVING_H_ |
30 | | #define OPENCV_FLANN_SAVING_H_ |
31 | | |
32 | | //! @cond IGNORED |
33 | | |
34 | | #include <cstring> |
35 | | #include <vector> |
36 | | |
37 | | #include "general.h" |
38 | | #include "nn_index.h" |
39 | | |
40 | | #ifdef FLANN_SIGNATURE_ |
41 | | #undef FLANN_SIGNATURE_ |
42 | | #endif |
43 | | #define FLANN_SIGNATURE_ "FLANN_INDEX" |
44 | | |
45 | | namespace cvflann |
46 | | { |
47 | | |
48 | | template <typename T> |
49 | | struct Datatype {}; |
50 | | template<> |
51 | 0 | struct Datatype<char> { static flann_datatype_t type() { return FLANN_INT8; } }; |
52 | | template<> |
53 | 0 | struct Datatype<short> { static flann_datatype_t type() { return FLANN_INT16; } }; |
54 | | template<> |
55 | 0 | struct Datatype<int> { static flann_datatype_t type() { return FLANN_INT32; } }; |
56 | | template<> |
57 | 0 | struct Datatype<unsigned char> { static flann_datatype_t type() { return FLANN_UINT8; } }; |
58 | | template<> |
59 | 0 | struct Datatype<unsigned short> { static flann_datatype_t type() { return FLANN_UINT16; } }; |
60 | | template<> |
61 | 0 | struct Datatype<unsigned int> { static flann_datatype_t type() { return FLANN_UINT32; } }; |
62 | | template<> |
63 | 0 | struct Datatype<float> { static flann_datatype_t type() { return FLANN_FLOAT32; } }; |
64 | | template<> |
65 | 0 | struct Datatype<double> { static flann_datatype_t type() { return FLANN_FLOAT64; } }; |
66 | | |
67 | | |
68 | | /** |
69 | | * Structure representing the index header. |
70 | | */ |
71 | | struct IndexHeader |
72 | | { |
73 | | char signature[16]; |
74 | | char version[16]; |
75 | | flann_datatype_t data_type; |
76 | | flann_algorithm_t index_type; |
77 | | size_t rows; |
78 | | size_t cols; |
79 | | }; |
80 | | |
81 | | /** |
82 | | * Saves index header to stream |
83 | | * |
84 | | * @param stream - Stream to save to |
85 | | * @param index - The index to save |
86 | | */ |
87 | | template<typename Distance> |
88 | | void save_header(FILE* stream, const NNIndex<Distance>& index) |
89 | | { |
90 | | IndexHeader header; |
91 | | memset(header.signature, 0, sizeof(header.signature)); |
92 | | strcpy(header.signature, FLANN_SIGNATURE_); |
93 | | memset(header.version, 0, sizeof(header.version)); |
94 | | strcpy(header.version, FLANN_VERSION_); |
95 | | header.data_type = Datatype<typename Distance::ElementType>::type(); |
96 | | header.index_type = index.getType(); |
97 | | header.rows = index.size(); |
98 | | header.cols = index.veclen(); |
99 | | |
100 | | std::fwrite(&header, sizeof(header),1,stream); |
101 | | } |
102 | | |
103 | | |
104 | | /** |
105 | | * |
106 | | * @param stream - Stream to load from |
107 | | * @return Index header |
108 | | */ |
109 | | inline IndexHeader load_header(FILE* stream) |
110 | 0 | { |
111 | 0 | IndexHeader header; |
112 | 0 | size_t read_size = fread(&header,sizeof(header),1,stream); |
113 | 0 |
|
114 | 0 | if (read_size!=(size_t)1) { |
115 | 0 | FLANN_THROW(cv::Error::StsError, "Invalid index file, cannot read"); |
116 | 0 | } |
117 | 0 |
|
118 | 0 | if (strcmp(header.signature,FLANN_SIGNATURE_)!=0) { |
119 | 0 | FLANN_THROW(cv::Error::StsError, "Invalid index file, wrong signature"); |
120 | 0 | } |
121 | 0 |
|
122 | 0 | return header; |
123 | 0 |
|
124 | 0 | } |
125 | | |
126 | | |
127 | | template<typename T> |
128 | | void save_value(FILE* stream, const T& value, size_t count = 1) |
129 | | { |
130 | | fwrite(&value, sizeof(value),count, stream); |
131 | | } |
132 | | |
133 | | template<typename T> |
134 | | void save_value(FILE* stream, const cvflann::Matrix<T>& value) |
135 | | { |
136 | | fwrite(&value, sizeof(value),1, stream); |
137 | | fwrite(value.data, sizeof(T),value.rows*value.cols, stream); |
138 | | } |
139 | | |
140 | | template<typename T> |
141 | | void save_value(FILE* stream, const std::vector<T>& value) |
142 | | { |
143 | | size_t size = value.size(); |
144 | | fwrite(&size, sizeof(size_t), 1, stream); |
145 | | fwrite(&value[0], sizeof(T), size, stream); |
146 | | } |
147 | | |
148 | | template<typename T> |
149 | | void load_value(FILE* stream, T& value, size_t count = 1) |
150 | | { |
151 | | size_t read_cnt = fread(&value, sizeof(value), count, stream); |
152 | | if (read_cnt != count) { |
153 | | FLANN_THROW(cv::Error::StsParseError, "Cannot read from file"); |
154 | | } |
155 | | } |
156 | | |
157 | | template<typename T> |
158 | | void load_value(FILE* stream, cvflann::Matrix<T>& value) |
159 | | { |
160 | | size_t read_cnt = fread(&value, sizeof(value), 1, stream); |
161 | | if (read_cnt != 1) { |
162 | | FLANN_THROW(cv::Error::StsParseError, "Cannot read from file"); |
163 | | } |
164 | | value.data = new T[value.rows*value.cols]; |
165 | | read_cnt = fread(value.data, sizeof(T), value.rows*value.cols, stream); |
166 | | if (read_cnt != (size_t)(value.rows*value.cols)) { |
167 | | FLANN_THROW(cv::Error::StsParseError, "Cannot read from file"); |
168 | | } |
169 | | } |
170 | | |
171 | | |
172 | | template<typename T> |
173 | | void load_value(FILE* stream, std::vector<T>& value) |
174 | | { |
175 | | size_t size; |
176 | | size_t read_cnt = fread(&size, sizeof(size_t), 1, stream); |
177 | | if (read_cnt!=1) { |
178 | | FLANN_THROW(cv::Error::StsError, "Cannot read from file"); |
179 | | } |
180 | | value.resize(size); |
181 | | read_cnt = fread(&value[0], sizeof(T), size, stream); |
182 | | if (read_cnt != size) { |
183 | | FLANN_THROW(cv::Error::StsError, "Cannot read from file"); |
184 | | } |
185 | | } |
186 | | |
187 | | } |
188 | | |
189 | | //! @endcond |
190 | | |
191 | | #endif /* OPENCV_FLANN_SAVING_H_ */ |