This file is indexed.

/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_