/usr/include/dlib/opencv/cv_image.h is in libdlib-dev 18.18-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 | // Copyright (C) 2009 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#ifndef DLIB_CvIMAGE_H_
#define DLIB_CvIMAGE_H_
#include <opencv2/core/core.hpp>
#include <opencv2/core/types_c.h>
#include "cv_image_abstract.h"
#include "../algs.h"
#include "../pixel.h"
#include "../matrix/matrix_mat.h"
#include "../image_processing/generic_image.h"
namespace dlib
{
template <
typename pixel_type
>
class cv_image
{
public:
typedef pixel_type type;
typedef default_memory_manager mem_manager_type;
cv_image (const cv::Mat img)
{
DLIB_CASSERT(img.depth() == cv::DataType<typename pixel_traits<pixel_type>::basic_pixel_type>::depth &&
img.channels() == pixel_traits<pixel_type>::num,
"The pixel type you gave doesn't match pixel used by the open cv Mat object."
<< "\n\t img.depth(): " << img.depth()
<< "\n\t img.cv::DataType<typename pixel_traits<pixel_type>::basic_pixel_type>::depth: "
<< cv::DataType<typename pixel_traits<pixel_type>::basic_pixel_type>::depth
<< "\n\t img.channels(): " << img.channels()
<< "\n\t img.pixel_traits<pixel_type>::num: " << pixel_traits<pixel_type>::num
);
IplImage temp = img;
init(&temp);
}
cv_image (const IplImage img)
{
init(&img);
}
cv_image (const IplImage* img)
{
init(img);
}
cv_image() : _data(0), _widthStep(0), _nr(0), _nc(0) {}
unsigned long size () const { return static_cast<unsigned long>(_nr*_nc); }
inline pixel_type* operator[](const long row )
{
// make sure requires clause is not broken
DLIB_ASSERT(0 <= row && row < nr(),
"\tpixel_type* cv_image::operator[](row)"
<< "\n\t you have asked for an out of bounds row "
<< "\n\t row: " << row
<< "\n\t nr(): " << nr()
<< "\n\t this: " << this
);
return reinterpret_cast<pixel_type*>( _data + _widthStep*row);
}
inline const pixel_type* operator[](const long row ) const
{
// make sure requires clause is not broken
DLIB_ASSERT(0 <= row && row < nr(),
"\tconst pixel_type* cv_image::operator[](row)"
<< "\n\t you have asked for an out of bounds row "
<< "\n\t row: " << row
<< "\n\t nr(): " << nr()
<< "\n\t this: " << this
);
return reinterpret_cast<const pixel_type*>( _data + _widthStep*row);
}
long nr() const { return _nr; }
long nc() const { return _nc; }
long width_step() const { return _widthStep; }
cv_image& operator=( const cv_image& item)
{
_data = item._data;
_widthStep = item._widthStep;
_nr = item._nr;
_nc = item._nc;
return *this;
}
cv_image& operator=( const IplImage* img)
{
init(img);
return *this;
}
cv_image& operator=( const IplImage img)
{
init(&img);
return *this;
}
cv_image& operator=( const cv::Mat img)
{
IplImage temp = img;
init(&temp);
return *this;
}
private:
void init (const IplImage* img)
{
DLIB_CASSERT( img->dataOrder == 0, "Only interleaved color channels are supported with cv_image");
DLIB_CASSERT((img->depth&0xFF)/8*img->nChannels == sizeof(pixel_type),
"The pixel type you gave doesn't match the size of pixel used by the open cv image struct");
_data = img->imageData;
_widthStep = img->widthStep;
_nr = img->height;
_nc = img->width;
}
char* _data;
long _widthStep;
long _nr;
long _nc;
};
// ----------------------------------------------------------------------------------------
template <
typename T
>
const matrix_op<op_array2d_to_mat<cv_image<T> > > mat (
const cv_image<T>& m
)
{
typedef op_array2d_to_mat<cv_image<T> > op;
return matrix_op<op>(op(m));
}
// ----------------------------------------------------------------------------------------
// Define the global functions that make cv_image a proper "generic image" according to
// ../image_processing/generic_image.h
template <typename T>
struct image_traits<cv_image<T> >
{
typedef T pixel_type;
};
template <typename T>
inline long num_rows( const cv_image<T>& img) { return img.nr(); }
template <typename T>
inline long num_columns( const cv_image<T>& img) { return img.nc(); }
template <typename T>
inline void* image_data(
cv_image<T>& img
)
{
if (img.size() != 0)
return &img[0][0];
else
return 0;
}
template <typename T>
inline const void* image_data(
const cv_image<T>& img
)
{
if (img.size() != 0)
return &img[0][0];
else
return 0;
}
template <typename T>
inline long width_step(
const cv_image<T>& img
)
{
return img.width_step();
}
// ----------------------------------------------------------------------------------------
}
#endif // DLIB_CvIMAGE_H_
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