File: testImageNormalizedCorrelation.cpp

package info (click to toggle)
visp 3.7.0-7
  • links: PTS, VCS
  • area: main
  • in suites:
  • size: 166,380 kB
  • sloc: cpp: 392,705; ansic: 224,448; xml: 23,444; python: 13,701; java: 4,792; sh: 206; objc: 145; makefile: 118
file content (255 lines) | stat: -rw-r--r-- 8,296 bytes parent folder | download | duplicates (3)
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
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
/*
 * ViSP, open source Visual Servoing Platform software.
 * Copyright (C) 2005 - 2024 by Inria. All rights reserved.
 *
 * This software is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 * See the file LICENSE.txt at the root directory of this source
 * distribution for additional information about the GNU GPL.
 *
 * For using ViSP with software that can not be combined with the GNU
 * GPL, please contact Inria about acquiring a ViSP Professional
 * Edition License.
 *
 * See https://visp.inria.fr for more information.
 *
 * This software was developed at:
 * Inria Rennes - Bretagne Atlantique
 * Campus Universitaire de Beaulieu
 * 35042 Rennes Cedex
 * France
 *
 * If you have questions regarding the use of this file, please contact
 * Inria at visp@inria.fr
 *
 * This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
 * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
 *
 * Description:
 * Test vpImageTools::normalizedCorrelation().
 */

/*!
  \example testImageNormalizedCorrelation.cpp

  \brief Test vpImageTools::normalizedCorrelation().
*/

#include <visp3/core/vpImage.h>
#include <visp3/core/vpImageTools.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/gui/vpDisplayGDI.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/io/vpParseArgv.h>
#include <visp3/io/vpVideoReader.h>

// List of allowed command line options
#define GETOPTARGS "cdi:h"

#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif

namespace
{
void usage(const char *name, const char *badparam, std::string ipath)
{
  fprintf(stdout, "\n\
  Test vpImageTools::normalizedCorrelation().\n\
  \n\
  SYNOPSIS\n\
    %s [-i <VISP_IMAGES directory>]                           \n\
       [-h]\n            \
  ",
          name);

  fprintf(stdout, "\n\
  OPTIONS:                                               Default\n\
    -i <VISP_IMAGES directory>                                %s\n\
       Set VISP_IMAGES input path.\n\
       Setting the VISP_INPUT_IMAGE_PATH environment\n\
       variable produces the same behaviour than using\n\
       this option.\n\
    -h\n\
       Print the help.\n\n",
          ipath.c_str());

  if (badparam)
    fprintf(stdout, "\nERROR: Bad parameter [%s]\n", badparam);
}

bool getOptions(int argc, const char **argv, std::string &ipath)
{
  const char *optarg_;
  int c;
  while ((c = vpParseArgv::parse(argc, argv, GETOPTARGS, &optarg_)) > 1) {

    switch (c) {
    case 'i':
      ipath = optarg_;
      break;
    case 'h':
      usage(argv[0], nullptr, ipath);
      return false;

    case 'c':
    case 'd':
      break;

    default:
      usage(argv[0], optarg_, ipath);
      return false;
    }
  }

  if ((c == 1) || (c == -1)) {
    // standalone param or error
    usage(argv[0], nullptr, ipath);
    std::cerr << "ERROR: " << std::endl;
    std::cerr << "  Bad argument " << optarg_ << std::endl << std::endl;
    return false;
  }

  return true;
}

void templateMatching(const vpImage<unsigned char> &I, const vpImage<unsigned char> &I_tpl, vpImage<double> &I_score,
                      unsigned int step_u, unsigned int step_v, bool useOptimized)
{
  unsigned int height_tpl = I_tpl.getHeight(), width_tpl = I_tpl.getWidth();
  vpImage<double> I_double, I_tpl_double, I_cur;
  vpImageConvert::convert(I, I_double);
  vpImageConvert::convert(I_tpl, I_tpl_double);
  I_score.resize(I.getHeight() - height_tpl, I.getWidth() - width_tpl, 0.0);

  for (unsigned int i = 0; i < I.getHeight() - height_tpl; i += step_v) {
    for (unsigned int j = 0; j < I.getWidth() - width_tpl; j += step_u) {
      vpRect roi(vpImagePoint(i, j), vpImagePoint(i + height_tpl - 1, j + width_tpl - 1));
      vpImageTools::crop(I_double, roi, I_cur);

      I_score[i][j] = vpImageTools::normalizedCorrelation(I_cur, I_tpl_double, useOptimized);
    }
  }
}
} // namespace

int main(int argc, const char **argv)
{
  try {
    std::string env_ipath;
    std::string opt_ipath;
    std::string ipath;
    std::string filename;

#if defined(VISP_HAVE_DATASET)
#if VISP_HAVE_DATASET_VERSION >= 0x030600
    std::string ext("png");
#else
    std::string ext("pgm");
#endif
#else
    // We suppose that the user will download a recent dataset
    std::string ext("png");
#endif

    // Get the visp-images-data package path or VISP_INPUT_IMAGE_PATH
    // environment variable value
    env_ipath = vpIoTools::getViSPImagesDataPath();

    // Set the default input path
    if (!env_ipath.empty()) {
      ipath = env_ipath;
    }

    // Read the command line options
    if (!getOptions(argc, argv, opt_ipath)) {
      exit(EXIT_FAILURE);
    }

    // Get the option values
    if (!opt_ipath.empty()) {
      ipath = opt_ipath;
    }

    // Compare ipath and env_ipath. If they differ, we take into account
    // the input path coming from the command line option
    if (!opt_ipath.empty() && !env_ipath.empty()) {
      if (ipath != env_ipath) {
        std::cout << std::endl << "WARNING: " << std::endl;
        std::cout << "  Since -i <visp image path=" << ipath << "> "
          << "  is different from VISP_IMAGE_PATH=" << env_ipath << std::endl
          << "  we skip the environment variable." << std::endl;
      }
    }

    // Test if an input path is set
    if (opt_ipath.empty() && env_ipath.empty()) {
      usage(argv[0], nullptr, ipath);
      std::cerr << std::endl << "ERROR:" << std::endl;
      std::cerr << "  Use -i <visp image path> option or set VISP_INPUT_IMAGE_PATH " << std::endl
        << "  environment variable to specify the location of the " << std::endl
        << "  image path where test images are located." << std::endl
        << std::endl;
      exit(EXIT_FAILURE);
    }

    //
    // Here starts really the test
    //

    // Load cube sequence
    filename = vpIoTools::createFilePath(ipath, "mbt/cube/image%04d." + ext);

    vpVideoReader reader;
    reader.setFileName(filename);
    vpImage<unsigned char> I, I_template;
    reader.open(I);
    vpRect template_roi(vpImagePoint(201, 310), vpImagePoint(201 + 152 - 1, 310 + 138 - 1));
    vpImageTools::crop(I, template_roi, I_template);

    vpImage<double> I_score, I_score_gold;
    const unsigned int step_i = 5, step_j = 5;
    double t = vpTime::measureTimeMs();
    templateMatching(I, I_template, I_score, step_i, step_j, true);
    t = vpTime::measureTimeMs() - t;

    double t_gold = vpTime::measureTimeMs();
    templateMatching(I, I_template, I_score_gold, step_i, step_j, false);
    t_gold = vpTime::measureTimeMs() - t_gold;

    for (unsigned int i = 0; i < I_score.getHeight(); i++) {
      for (unsigned int j = 0; j < I_score.getWidth(); j++) {
        if (!vpMath::equal(I_score[i][j], I_score_gold[i][j], 1e-9)) {
          std::cerr << "Issue with normalizedCorrelation, gold: " << std::setprecision(17) << I_score_gold[i][j]
            << " ; compute: " << I_score[i][j] << std::endl;
          return EXIT_FAILURE;
        }
      }
    }

    vpImagePoint max_loc, max_loc_gold;
    double max_correlation = -1.0, max_correlation_gold = -1.0;
    I_score.getMinMaxLoc(nullptr, &max_loc, nullptr, &max_correlation);
    I_score_gold.getMinMaxLoc(nullptr, &max_loc_gold, nullptr, &max_correlation_gold);

    std::cout << "Compare regular and SSE version of vpImageTools::normalizedCorrelation()" << std::endl;
    std::cout << "vpImageTools::normalizedCorrelation(): " << max_correlation << " ; " << t << " ms" << std::endl;
    std::cout << "Gold normalizedCorrelation(): " << max_correlation_gold << " ; " << t_gold << " ms" << std::endl;

    std::cerr << "\nTrue template position: " << template_roi.getTopLeft() << std::endl;
    std::cerr << "Found template position: " << max_loc << std::endl;
    if (vpImagePoint::distance(max_loc, template_roi.getTopLeft()) > step_i) {
      std::cerr << "Issue with vpImageTools::normalizedCorrelation:" << std::endl;
      return EXIT_FAILURE;
    }

  }
  catch (const vpException &e) {
    std::cerr << "\nCatch an exception: " << e << std::endl;
    return EXIT_FAILURE;
  }
  return EXIT_SUCCESS;
}