/* * GStreamer * Copyright (C) 2005 Thomas Vander Stichele * Copyright (C) 2005 Ronald S. Bultje * Copyright (C) 2008 Michael Sheldon * Copyright (C) 2011 Stefan Sauer * * Permission is hereby granted, free of charge, to any person obtaining a * copy of this software and associated documentation files (the "Software"), * to deal in the Software without restriction, including without limitation * the rights to use, copy, modify, merge, publish, distribute, sublicense, * and/or sell copies of the Software, and to permit persons to whom the * Software is furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. * * Alternatively, the contents of this file may be used under the * GNU Lesser General Public License Version 2.1 (the "LGPL"), in * which case the following provisions apply instead of the ones * mentioned above: * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Library General Public * License as published by the Free Software Foundation; either * version 2 of the License, or (at your option) any later version. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Library General Public License for more details. * * You should have received a copy of the GNU Library General Public * License along with this library; if not, write to the * Free Software Foundation, Inc., 59 Temple Place - Suite 330, * Boston, MA 02111-1307, USA. */ /** * SECTION:element-facedetect * * Performs face detection on videos and images. * * The image is scaled down multiple times using the GstFaceDetect::scale-factor * until the size is <= GstFaceDetect::min-size-width or * GstFaceDetect::min-size-height. * * * Example launch line * |[ * gst-launch-0.10 autovideosrc ! decodebin2 ! colorspace ! facedetect ! colorspace ! xvimagesink * ]| Detect and show faces * |[ * gst-launch-0.10 autovideosrc ! video/x-raw-yuv,width=320,height=240 ! colorspace ! facedetect min-size-width=60 min-size-height=60 ! colorspace ! xvimagesink * ]| Detect large faces on a smaller image * * */ /* FIXME: development version of OpenCV has CV_HAAR_FIND_BIGGEST_OBJECT which * we might want to use if available * see https://code.ros.org/svn/opencv/trunk/opencv/modules/objdetect/src/haar.cpp */ #ifdef HAVE_CONFIG_H # include #endif #include #include "gstopencvutils.h" #include "gstfacedetect.h" GST_DEBUG_CATEGORY_STATIC (gst_face_detect_debug); #define GST_CAT_DEFAULT gst_face_detect_debug #define HAAR_CASCADES_DIR OPENCV_PREFIX "/share/opencv/haarcascades/" #define DEFAULT_FACE_PROFILE HAAR_CASCADES_DIR "haarcascade_frontalface_default.xml" #define DEFAULT_NOSE_PROFILE HAAR_CASCADES_DIR "haarcascade_mcs_nose.xml" #define DEFAULT_MOUTH_PROFILE HAAR_CASCADES_DIR "haarcascade_mcs_mouth.xml" #define DEFAULT_EYES_PROFILE HAAR_CASCADES_DIR "haarcascade_mcs_eyepair_small.xml" #define DEFAULT_SCALE_FACTOR 1.1 #define DEFAULT_FLAGS 0 #define DEFAULT_MIN_NEIGHBORS 3 #define DEFAULT_MIN_SIZE_WIDTH 0 #define DEFAULT_MIN_SIZE_HEIGHT 0 /* Filter signals and args */ enum { /* FILL ME */ LAST_SIGNAL }; enum { PROP_0, PROP_DISPLAY, PROP_FACE_PROFILE, PROP_NOSE_PROFILE, PROP_MOUTH_PROFILE, PROP_EYES_PROFILE, PROP_SCALE_FACTOR, PROP_MIN_NEIGHBORS, PROP_FLAGS, PROP_MIN_SIZE_WIDTH, PROP_MIN_SIZE_HEIGHT }; /* * GstOpencvFaceDetectFlags: * * Flags parameter to OpenCV's cvHaarDetectObjects function. */ typedef enum { GST_OPENCV_FACE_DETECT_HAAR_DO_CANNY_PRUNING = (1 << 0) } GstOpencvFaceDetectFlags; #define GST_TYPE_OPENCV_FACE_DETECT_FLAGS (gst_opencv_face_detect_flags_get_type()) static void register_gst_opencv_face_detect_flags (GType * id) { static const GFlagsValue values[] = { {(guint) GST_OPENCV_FACE_DETECT_HAAR_DO_CANNY_PRUNING, "Do Canny edge detection to discard some regions", "do-canny-pruning"}, {0, NULL, NULL} }; *id = g_flags_register_static ("GstOpencvFaceDetectFlags", values); } static GType gst_opencv_face_detect_flags_get_type (void) { static GType id; static GOnce once = G_ONCE_INIT; g_once (&once, (GThreadFunc) register_gst_opencv_face_detect_flags, &id); return id; } /* the capabilities of the inputs and outputs. */ static GstStaticPadTemplate sink_factory = GST_STATIC_PAD_TEMPLATE ("sink", GST_PAD_SINK, GST_PAD_ALWAYS, GST_STATIC_CAPS (GST_VIDEO_CAPS_RGB) ); static GstStaticPadTemplate src_factory = GST_STATIC_PAD_TEMPLATE ("src", GST_PAD_SRC, GST_PAD_ALWAYS, GST_STATIC_CAPS (GST_VIDEO_CAPS_RGB) ); GST_BOILERPLATE (GstFaceDetect, gst_face_detect, GstOpencvVideoFilter, GST_TYPE_OPENCV_VIDEO_FILTER); static void gst_face_detect_set_property (GObject * object, guint prop_id, const GValue * value, GParamSpec * pspec); static void gst_face_detect_get_property (GObject * object, guint prop_id, GValue * value, GParamSpec * pspec); static gboolean gst_face_detect_set_caps (GstOpencvVideoFilter * transform, gint in_width, gint in_height, gint in_depth, gint in_channels, gint out_width, gint out_height, gint out_depth, gint out_channels); static GstFlowReturn gst_face_detect_transform_ip (GstOpencvVideoFilter * base, GstBuffer * buf, IplImage * img); static CvHaarClassifierCascade *gst_face_detect_load_profile (GstFaceDetect * filter, gchar * profile); /* Clean up */ static void gst_face_detect_finalize (GObject * obj) { GstFaceDetect *filter = GST_FACE_DETECT (obj); if (filter->cvGray) cvReleaseImage (&filter->cvGray); if (filter->cvStorage) cvReleaseMemStorage (&filter->cvStorage); g_free (filter->face_profile); g_free (filter->nose_profile); g_free (filter->mouth_profile); g_free (filter->eyes_profile); if (filter->cvFaceDetect) cvReleaseHaarClassifierCascade (&filter->cvFaceDetect); if (filter->cvNoseDetect) cvReleaseHaarClassifierCascade (&filter->cvNoseDetect); if (filter->cvMouthDetect) cvReleaseHaarClassifierCascade (&filter->cvMouthDetect); if (filter->cvEyesDetect) cvReleaseHaarClassifierCascade (&filter->cvEyesDetect); G_OBJECT_CLASS (parent_class)->finalize (obj); } /* GObject vmethod implementations */ static void gst_face_detect_base_init (gpointer gclass) { GstElementClass *element_class = GST_ELEMENT_CLASS (gclass); gst_element_class_set_details_simple (element_class, "facedetect", "Filter/Effect/Video", "Performs face detection on videos and images, providing detected positions via bus messages", "Michael Sheldon "); gst_element_class_add_pad_template (element_class, gst_static_pad_template_get (&src_factory)); gst_element_class_add_pad_template (element_class, gst_static_pad_template_get (&sink_factory)); } /* initialize the facedetect's class */ static void gst_face_detect_class_init (GstFaceDetectClass * klass) { GObjectClass *gobject_class; GstOpencvVideoFilterClass *gstopencvbasefilter_class; gobject_class = (GObjectClass *) klass; gstopencvbasefilter_class = (GstOpencvVideoFilterClass *) klass; gobject_class->finalize = GST_DEBUG_FUNCPTR (gst_face_detect_finalize); gobject_class->set_property = gst_face_detect_set_property; gobject_class->get_property = gst_face_detect_get_property; gstopencvbasefilter_class->cv_trans_ip_func = gst_face_detect_transform_ip; gstopencvbasefilter_class->cv_set_caps = gst_face_detect_set_caps; g_object_class_install_property (gobject_class, PROP_DISPLAY, g_param_spec_boolean ("display", "Display", "Sets whether the detected faces should be highlighted in the output", TRUE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_FACE_PROFILE, g_param_spec_string ("profile", "Face profile", "Location of Haar cascade file to use for face detection", DEFAULT_FACE_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_NOSE_PROFILE, g_param_spec_string ("nose-profile", "Nose profile", "Location of Haar cascade file to use for nose detection", DEFAULT_NOSE_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_MOUTH_PROFILE, g_param_spec_string ("mouth-profile", "Mouth profile", "Location of Haar cascade file to use for mouth detection", DEFAULT_MOUTH_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_EYES_PROFILE, g_param_spec_string ("eyes-profile", "Eyes profile", "Location of Haar cascade file to use for eye-pair detection", DEFAULT_EYES_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_FLAGS, g_param_spec_flags ("flags", "Flags", "Flags to cvHaarDetectObjects", GST_TYPE_OPENCV_FACE_DETECT_FLAGS, DEFAULT_FLAGS, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_SCALE_FACTOR, g_param_spec_double ("scale-factor", "Scale factor", "Factor by which the frame is scaled after each object scan", 1.1, 10.0, DEFAULT_SCALE_FACTOR, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_MIN_NEIGHBORS, g_param_spec_int ("min-neighbors", "Mininum neighbors", "Minimum number (minus 1) of neighbor rectangles that makes up " "an object", 0, G_MAXINT, DEFAULT_MIN_NEIGHBORS, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_MIN_SIZE_WIDTH, g_param_spec_int ("min-size-width", "Minimum face width", "Minimum area width to be recognized as a face", 0, G_MAXINT, DEFAULT_MIN_SIZE_WIDTH, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); g_object_class_install_property (gobject_class, PROP_MIN_SIZE_HEIGHT, g_param_spec_int ("min-size-height", "Minimum face height", "Minimum area height to be recognized as a face", 0, G_MAXINT, DEFAULT_MIN_SIZE_HEIGHT, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)); } /* initialize the new element * initialize instance structure */ static void gst_face_detect_init (GstFaceDetect * filter, GstFaceDetectClass * gclass) { filter->face_profile = g_strdup (DEFAULT_FACE_PROFILE); filter->nose_profile = g_strdup (DEFAULT_NOSE_PROFILE); filter->mouth_profile = g_strdup (DEFAULT_MOUTH_PROFILE); filter->eyes_profile = g_strdup (DEFAULT_EYES_PROFILE); filter->display = TRUE; filter->scale_factor = DEFAULT_SCALE_FACTOR; filter->min_neighbors = DEFAULT_MIN_NEIGHBORS; filter->flags = DEFAULT_FLAGS; filter->min_size_width = DEFAULT_MIN_SIZE_WIDTH; filter->min_size_height = DEFAULT_MIN_SIZE_HEIGHT; filter->cvFaceDetect = gst_face_detect_load_profile (filter, filter->face_profile); filter->cvNoseDetect = gst_face_detect_load_profile (filter, filter->nose_profile); filter->cvMouthDetect = gst_face_detect_load_profile (filter, filter->mouth_profile); filter->cvEyesDetect = gst_face_detect_load_profile (filter, filter->eyes_profile); gst_opencv_video_filter_set_in_place (GST_OPENCV_VIDEO_FILTER_CAST (filter), TRUE); } static void gst_face_detect_set_property (GObject * object, guint prop_id, const GValue * value, GParamSpec * pspec) { GstFaceDetect *filter = GST_FACE_DETECT (object); switch (prop_id) { case PROP_FACE_PROFILE: g_free (filter->face_profile); if (filter->cvFaceDetect) cvReleaseHaarClassifierCascade (&filter->cvFaceDetect); filter->face_profile = g_value_dup_string (value); filter->cvFaceDetect = gst_face_detect_load_profile (filter, filter->face_profile); break; case PROP_NOSE_PROFILE: g_free (filter->nose_profile); if (filter->cvNoseDetect) cvReleaseHaarClassifierCascade (&filter->cvNoseDetect); filter->nose_profile = g_value_dup_string (value); filter->cvNoseDetect = gst_face_detect_load_profile (filter, filter->nose_profile); break; case PROP_MOUTH_PROFILE: g_free (filter->mouth_profile); if (filter->cvMouthDetect) cvReleaseHaarClassifierCascade (&filter->cvMouthDetect); filter->mouth_profile = g_value_dup_string (value); filter->cvMouthDetect = gst_face_detect_load_profile (filter, filter->mouth_profile); break; case PROP_EYES_PROFILE: g_free (filter->eyes_profile); if (filter->cvEyesDetect) cvReleaseHaarClassifierCascade (&filter->cvEyesDetect); filter->eyes_profile = g_value_dup_string (value); filter->cvEyesDetect = gst_face_detect_load_profile (filter, filter->eyes_profile); break; case PROP_DISPLAY: filter->display = g_value_get_boolean (value); break; case PROP_SCALE_FACTOR: filter->scale_factor = g_value_get_double (value); break; case PROP_MIN_NEIGHBORS: filter->min_neighbors = g_value_get_int (value); break; case PROP_MIN_SIZE_WIDTH: filter->min_size_width = g_value_get_int (value); break; case PROP_MIN_SIZE_HEIGHT: filter->min_size_height = g_value_get_int (value); break; case PROP_FLAGS: filter->flags = g_value_get_flags (value); break; default: G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec); break; } } static void gst_face_detect_get_property (GObject * object, guint prop_id, GValue * value, GParamSpec * pspec) { GstFaceDetect *filter = GST_FACE_DETECT (object); switch (prop_id) { case PROP_FACE_PROFILE: g_value_set_string (value, filter->face_profile); break; case PROP_NOSE_PROFILE: g_value_set_string (value, filter->nose_profile); break; case PROP_MOUTH_PROFILE: g_value_set_string (value, filter->mouth_profile); break; case PROP_EYES_PROFILE: g_value_set_string (value, filter->eyes_profile); break; case PROP_DISPLAY: g_value_set_boolean (value, filter->display); break; case PROP_SCALE_FACTOR: g_value_set_double (value, filter->scale_factor); break; case PROP_MIN_NEIGHBORS: g_value_set_int (value, filter->min_neighbors); break; case PROP_MIN_SIZE_WIDTH: g_value_set_int (value, filter->min_size_width); break; case PROP_MIN_SIZE_HEIGHT: g_value_set_int (value, filter->min_size_height); break; case PROP_FLAGS: g_value_set_flags (value, filter->flags); break; default: G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec); break; } } /* GstElement vmethod implementations */ /* this function handles the link with other elements */ static gboolean gst_face_detect_set_caps (GstOpencvVideoFilter * transform, gint in_width, gint in_height, gint in_depth, gint in_channels, gint out_width, gint out_height, gint out_depth, gint out_channels) { GstFaceDetect *filter; filter = GST_FACE_DETECT (transform); if (filter->cvGray) cvReleaseImage (&filter->cvGray); filter->cvGray = cvCreateImage (cvSize (in_width, in_height), IPL_DEPTH_8U, 1); if (!filter->cvStorage) filter->cvStorage = cvCreateMemStorage (0); else cvClearMemStorage (filter->cvStorage); return TRUE; } static GstMessage * gst_face_detect_message_new (GstFaceDetect * filter, GstBuffer * buf) { GstBaseTransform *trans = GST_BASE_TRANSFORM_CAST (filter); GstStructure *s; GstClockTime running_time, stream_time; running_time = gst_segment_to_running_time (&trans->segment, GST_FORMAT_TIME, GST_BUFFER_TIMESTAMP (buf)); stream_time = gst_segment_to_stream_time (&trans->segment, GST_FORMAT_TIME, GST_BUFFER_TIMESTAMP (buf)); s = gst_structure_new ("facedetect", "timestamp", G_TYPE_UINT64, GST_BUFFER_TIMESTAMP (buf), "stream-time", G_TYPE_UINT64, stream_time, "running-time", G_TYPE_UINT64, running_time, "duration", G_TYPE_UINT64, GST_BUFFER_DURATION (buf), NULL); return gst_message_new_element (GST_OBJECT (filter), s); } static CvSeq * gst_face_detect_run_detector (GstFaceDetect * filter, CvHaarClassifierCascade * detector, gint min_size_width, gint min_size_height) { return cvHaarDetectObjects (filter->cvGray, detector, filter->cvStorage, filter->scale_factor, filter->min_neighbors, filter->flags, cvSize (min_size_width, min_size_height) #if (CV_MAJOR_VERSION >= 2) && (CV_MINOR_VERSION >= 2) , cvSize (min_size_width + 2, min_size_height + 2) #endif ); } /* * Performs the face detection */ static GstFlowReturn gst_face_detect_transform_ip (GstOpencvVideoFilter * base, GstBuffer * buf, IplImage * img) { GstFaceDetect *filter = GST_FACE_DETECT (base); if (filter->cvFaceDetect) { GstMessage *msg = NULL; GstStructure *s; GValue facelist = { 0 }; GValue facedata = { 0 }; CvSeq *faces; CvSeq *mouth = NULL, *nose = NULL, *eyes = NULL; gint i; gboolean do_display = FALSE; if (filter->display) { if (gst_buffer_is_writable (buf)) { do_display = TRUE; } else { GST_LOG_OBJECT (filter, "Buffer is not writable, not drawing faces."); } } cvCvtColor (img, filter->cvGray, CV_RGB2GRAY); cvClearMemStorage (filter->cvStorage); faces = gst_face_detect_run_detector (filter, filter->cvFaceDetect, filter->min_size_width, filter->min_size_height); msg = gst_face_detect_message_new (filter, buf); g_value_init (&facelist, GST_TYPE_LIST); for (i = 0; i < (faces ? faces->total : 0); i++) { CvRect *r = (CvRect *) cvGetSeqElem (faces, i); guint mw = filter->min_size_width / 8; guint mh = filter->min_size_height / 8; guint rnx = 0, rny = 0, rnw, rnh; guint rmx = 0, rmy = 0, rmw, rmh; guint rex = 0, rey = 0, rew, reh; gboolean have_nose, have_mouth, have_eyes; /* detect face features */ if (filter->cvNoseDetect) { rnx = r->x + r->width / 4; rny = r->y + r->height / 4; rnw = r->width / 2; rnh = r->height / 2; cvSetImageROI (filter->cvGray, cvRect (rnx, rny, rnw, rnh)); nose = gst_face_detect_run_detector (filter, filter->cvNoseDetect, mw, mh); have_nose = (nose && nose->total); cvResetImageROI (filter->cvGray); } else { have_nose = FALSE; } if (filter->cvMouthDetect) { rmx = r->x; rmy = r->y + r->height / 2; rmw = r->width; rmh = r->height / 2; cvSetImageROI (filter->cvGray, cvRect (rmx, rmy, rmw, rmh)); mouth = gst_face_detect_run_detector (filter, filter->cvMouthDetect, mw, mh); have_mouth = (mouth && mouth->total); cvResetImageROI (filter->cvGray); } else { have_mouth = FALSE; } if (filter->cvEyesDetect) { rex = r->x; rey = r->y; rew = r->width; reh = r->height / 2; cvSetImageROI (filter->cvGray, cvRect (rex, rey, rew, reh)); eyes = gst_face_detect_run_detector (filter, filter->cvEyesDetect, mw, mh); have_eyes = (eyes && eyes->total); cvResetImageROI (filter->cvGray); } else { have_eyes = FALSE; } GST_LOG_OBJECT (filter, "%2d/%2d: x,y = %4u,%4u: w.h = %4u,%4u : features(e,n,m) = %d,%d,%d", i, faces->total, r->x, r->y, r->width, r->height, have_eyes, have_nose, have_mouth); s = gst_structure_new ("face", "x", G_TYPE_UINT, r->x, "y", G_TYPE_UINT, r->y, "width", G_TYPE_UINT, r->width, "height", G_TYPE_UINT, r->height, NULL); if (have_nose) { CvRect *sr = (CvRect *) cvGetSeqElem (nose, 0); GST_LOG_OBJECT (filter, "nose/%d: x,y = %4u,%4u: w.h = %4u,%4u", nose->total, rnx + sr->x, rny + sr->y, sr->width, sr->height); gst_structure_set (s, "nose->x", G_TYPE_UINT, rnx + sr->x, "nose->y", G_TYPE_UINT, rny + sr->y, "nose->width", G_TYPE_UINT, sr->width, "nose->height", G_TYPE_UINT, sr->height, NULL); } if (have_mouth) { CvRect *sr = (CvRect *) cvGetSeqElem (mouth, 0); GST_LOG_OBJECT (filter, "mouth/%d: x,y = %4u,%4u: w.h = %4u,%4u", mouth->total, rmx + sr->x, rmy + sr->y, sr->width, sr->height); gst_structure_set (s, "mouth->x", G_TYPE_UINT, rmx + sr->x, "mouth->y", G_TYPE_UINT, rmy + sr->y, "mouth->width", G_TYPE_UINT, sr->width, "mouth->height", G_TYPE_UINT, sr->height, NULL); } if (have_eyes) { CvRect *sr = (CvRect *) cvGetSeqElem (eyes, 0); GST_LOG_OBJECT (filter, "eyes/%d: x,y = %4u,%4u: w.h = %4u,%4u", eyes->total, rex + sr->x, rey + sr->y, sr->width, sr->height); gst_structure_set (s, "eyes->x", G_TYPE_UINT, rex + sr->x, "eyes->y", G_TYPE_UINT, rey + sr->y, "eyes->width", G_TYPE_UINT, sr->width, "eyes->height", G_TYPE_UINT, sr->height, NULL); } g_value_init (&facedata, GST_TYPE_STRUCTURE); g_value_take_boxed (&facedata, s); gst_value_list_append_value (&facelist, &facedata); g_value_unset (&facedata); s = NULL; if (do_display) { CvPoint center; CvSize axes; gdouble w, h; gint cb = 255 - ((i & 3) << 7); gint cg = 255 - ((i & 12) << 5); gint cr = 255 - ((i & 48) << 3); w = r->width / 2; h = r->height / 2; center.x = cvRound ((r->x + w)); center.y = cvRound ((r->y + h)); axes.width = w; axes.height = h * 1.25; /* tweak for face form */ cvEllipse (img, center, axes, 0.0, 0.0, 360.0, CV_RGB (cr, cg, cb), 3, 8, 0); if (have_nose) { CvRect *sr = (CvRect *) cvGetSeqElem (nose, 0); w = sr->width / 2; h = sr->height / 2; center.x = cvRound ((rnx + sr->x + w)); center.y = cvRound ((rny + sr->y + h)); axes.width = w; axes.height = h * 1.25; /* tweak for nose form */ cvEllipse (img, center, axes, 0.0, 0.0, 360.0, CV_RGB (cr, cg, cb), 1, 8, 0); } if (have_mouth) { CvRect *sr = (CvRect *) cvGetSeqElem (mouth, 0); w = sr->width / 2; h = sr->height / 2; center.x = cvRound ((rmx + sr->x + w)); center.y = cvRound ((rmy + sr->y + h)); axes.width = w * 1.5; /* tweak for mouth form */ axes.height = h; cvEllipse (img, center, axes, 0.0, 0.0, 360.0, CV_RGB (cr, cg, cb), 1, 8, 0); } if (have_eyes) { CvRect *sr = (CvRect *) cvGetSeqElem (eyes, 0); w = sr->width / 2; h = sr->height / 2; center.x = cvRound ((rex + sr->x + w)); center.y = cvRound ((rey + sr->y + h)); axes.width = w * 1.5; /* tweak for eyes form */ axes.height = h; cvEllipse (img, center, axes, 0.0, 0.0, 360.0, CV_RGB (cr, cg, cb), 1, 8, 0); } } } gst_structure_set_value (msg->structure, "faces", &facelist); g_value_unset (&facelist); gst_element_post_message (GST_ELEMENT (filter), msg); } return GST_FLOW_OK; } static CvHaarClassifierCascade * gst_face_detect_load_profile (GstFaceDetect * filter, gchar * profile) { CvHaarClassifierCascade *cascade; if (!(cascade = (CvHaarClassifierCascade *) cvLoad (profile, 0, 0, 0))) { GST_WARNING_OBJECT (filter, "Couldn't load Haar classifier cascade: %s.", profile); } return cascade; } /* entry point to initialize the plug-in * initialize the plug-in itself * register the element factories and other features */ gboolean gst_face_detect_plugin_init (GstPlugin * plugin) { /* debug category for fltering log messages */ GST_DEBUG_CATEGORY_INIT (gst_face_detect_debug, "facedetect", 0, "Performs face detection on videos and images, providing detected positions via bus messages"); return gst_element_register (plugin, "facedetect", GST_RANK_NONE, GST_TYPE_FACE_DETECT); }