Fawkes API  Fawkes Development Version
qa_facesclassifier.cpp
1 
2 /***************************************************************************
3  * qa_camargp.h - QA for camera argument parser
4  *
5  * Generated: Wed Apr 11 16:02:33 2007
6  * Copyright 2005-2007 Tim Niemueller [www.niemueller.de]
7  * 2009 Daniel Beck
8  *
9  ****************************************************************************/
10 
11 /* This program is free software; you can redistribute it and/or modify
12  * it under the terms of the GNU General Public License as published by
13  * the Free Software Foundation; either version 2 of the License, or
14  * (at your option) any later version. A runtime exception applies to
15  * this software (see LICENSE.GPL_WRE file mentioned below for details).
16  *
17  * This program is distributed in the hope that it will be useful,
18  * but WITHOUT ANY WARRANTY; without even the implied warranty of
19  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
20  * GNU Library General Public License for more details.
21  *
22  * Read the full text in the LICENSE.GPL_WRE file in the doc directory.
23  */
24 
25 /// @cond QA
26 
27 #include <cams/factory.h>
28 #include <classifiers/faces.h>
29 #include <filters/roidraw.h>
30 #include <fvutils/adapters/cvmatadapter.h>
31 #include <fvutils/color/colorspaces.h>
32 #include <fvutils/draw/drawer.h>
33 #include <fvutils/readers/jpeg.h>
34 #include <fvwidgets/image_display.h>
35 #include <utils/system/argparser.h>
36 #include <utils/time/tracker.h>
37 
38 #include <SDL.h>
39 #include <cstdio>
40 #include <cstdlib>
41 #include <opencv2/opencv.hpp>
42 
43 using namespace fawkes;
44 
45 int
46 main(int argc, char **argv)
47 {
48  ArgumentParser *argp = new ArgumentParser(argc, argv, "h:f:c:");
49 
50  if (argp->has_arg("h") && argp->has_arg("f"))
51  // read image from file
52  {
53  const char *cascade_file = argp->arg("h");
54  const char *image_file = argp->arg("f");
55 
56  JpegReader * reader = new JpegReader(image_file);
57  unsigned char *buffer =
58  malloc_buffer(YUV422_PLANAR, reader->pixel_width(), reader->pixel_height());
59 
60  reader->set_buffer(buffer);
61  reader->read();
62 
63  FacesClassifier *classifier =
64  new FacesClassifier(cascade_file, reader->pixel_width(), reader->pixel_height());
65 
66  classifier->set_src_buffer(buffer, reader->pixel_width(), reader->pixel_height());
67  std::list<ROI> *rois = classifier->classify();
68 
69  FilterROIDraw *roi_draw = new FilterROIDraw();
70  for (std::list<ROI>::iterator i = rois->begin(); i != rois->end(); ++i) {
71  printf("ROI: start (%u, %u) extent %u x %u\n",
72  (*i).start.x,
73  (*i).start.y,
74  (*i).width,
75  (*i).height);
76 
77  roi_draw->set_dst_buffer(buffer, &(*i));
78  roi_draw->apply();
79  }
80 
81  ImageDisplay *display = new ImageDisplay(reader->pixel_width(), reader->pixel_height());
82  display->show(buffer);
83 
84  display->loop_until_quit();
85 
86  delete display;
87 
88  delete rois;
89  free(buffer);
90  delete reader;
91  delete classifier;
92  }
93 
94  else if (argp->has_arg("h") && argp->has_arg("c"))
95  // get images from camera
96  {
97  const char *cascade_file = argp->arg("h");
98 
99  Camera *camera = NULL;
100  try {
101  camera = CameraFactory::instance(argp->arg("c"));
102  camera->open();
103  camera->start();
104  } catch (Exception &e) {
105  printf("Failed to open camera.\n");
106  delete camera;
107  return (-1);
108  }
109 
110  printf("successfully opened camera: w=%d h=%d\n",
111  camera->pixel_width(),
112  camera->pixel_height());
113 
114  TimeTracker *tt = new TimeTracker();
115  unsigned int ttc_recognition = tt->add_class("Face recognition");
116  unsigned int loop_count = 0;
117 
118  cv::Mat image = cv::Mat(cv::Size(camera->pixel_width(), camera->pixel_height()), CV_8UC1, 3);
119 
120  cv::Mat scaled_image =
121  cv::Mat(cv::Size(camera->pixel_width() / 2, camera->pixel_height() / 2), CV_8UC1, 3);
122 
123  FacesClassifier *classifier = new FacesClassifier(cascade_file,
124  camera->pixel_width(),
125  camera->pixel_height(),
126  scaled_image,
127  1.2 /* scale factor */,
128  2 /* min neighbours */,
129  CV_HAAR_DO_CANNY_PRUNING);
130 
131  unsigned char *display_buffer = (unsigned char *)malloc(camera->buffer_size());
132 
133  ImageDisplay *display =
134  new ImageDisplay(camera->pixel_width(), camera->pixel_height(), "QA Faces Classifier");
135 
136  Drawer *drawer = new Drawer();
137  drawer->set_buffer(display_buffer, camera->pixel_width(), camera->pixel_height());
138 
139  SDL_Event redraw_event;
140  redraw_event.type = SDL_KEYUP;
141  redraw_event.key.keysym.sym = SDLK_SPACE;
142 
143  SDL_PushEvent(&redraw_event);
144 
145  bool quit = false;
146  while (!quit) {
147  SDL_Event event;
148  if (SDL_WaitEvent(&event)) {
149  switch (event.type) {
150  case SDL_QUIT: quit = true; break;
151 
152  case SDL_KEYUP:
153  if (event.key.keysym.sym == SDLK_SPACE) {
154  camera->capture();
155 
156  if (camera->buffer() != NULL) {
157  CvMatAdapter::convert_image_bgr(camera->buffer(), image);
158  image.resize(scaled_image.rows, cv::INTER_LINEAR);
159  memcpy(display_buffer, camera->buffer(), camera->buffer_size());
160 
161  tt->ping_start(ttc_recognition);
162  std::list<ROI> *rois = classifier->classify();
163  tt->ping_end(ttc_recognition);
164 
165  camera->dispose_buffer();
166 
167  bool first = true;
168  for (std::list<ROI>::reverse_iterator i = rois->rbegin(); i != rois->rend(); ++i) {
169  if (first) {
170  drawer->set_color(127, 70, 200);
171  }
172  drawer->draw_rectangle(2 * i->start.x, 2 * i->start.y, 2 * i->width, 2 * i->height);
173  if (first) {
174  drawer->set_color(30, 30, 30);
175  first = false;
176  }
177  }
178 
179  if (++loop_count % 15 == 0) {
180  tt->print_to_stdout();
181  }
182 
183  display->show(display_buffer);
184  }
185 
186  SDL_PushEvent(&redraw_event);
187  }
188 
189  else if (event.key.keysym.sym == SDLK_ESCAPE) {
190  quit = true;
191  }
192 
193  break;
194 
195  default: break;
196  }
197  }
198  }
199 
200  camera->stop();
201  camera->close();
202  delete camera;
203  delete display;
204  delete drawer;
205  free(display_buffer);
206  image.release();
207  scaled_image.release();
208  delete tt;
209  }
210 
211  else {
212  printf("Usage: %s -h <Haar cascade file> -f <Image file as JPEG>\n", argv[0]);
213  printf(" or %s -h <Haar cascade file> -c <Camera argument string>\n", argv[0]);
214  exit(-1);
215  }
216 
217  delete argp;
218 }
219 
220 /// @endcond
Parse command line arguments.
Definition: argparser.h:64
const char * arg(const char *argn)
Get argument value.
Definition: argparser.cpp:177
bool has_arg(const char *argn)
Check if argument has been supplied.
Definition: argparser.cpp:165
Base class for exceptions in Fawkes.
Definition: exception.h:36
Time tracking utility.
Definition: tracker.h:37
void print_to_stdout()
Print results to stdout.
Definition: tracker.cpp:307
unsigned int add_class(std::string name)
Add a new class.
Definition: tracker.cpp:149
void ping_end(unsigned int cls)
End of given class task.
Definition: tracker.cpp:243
void ping_start(unsigned int cls)
Start of given class task.
Definition: tracker.cpp:218
Fawkes library namespace.