/* * GStreamer * Copyright (C) 2005 Thomas Vander Stichele * Copyright (C) 2005 Ronald S. Bultje * Copyright (C) 2008 Michael Sheldon * Copyright (C) 2011 Stefan Sauer * Copyright (C) 2014 Robert Jobbagy * Copyright (C) 2018 Nicola Murino * * 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., 51 Franklin St, Fifth Floor, * Boston, MA 02110-1301, USA. */ /** * SECTION:element-facedetect * * Performs face detection on videos and images. * If you have high cpu load you need to use videoscale with capsfilter and reduce the video resolution. * * 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-1.0 autovideosrc ! decodebin ! colorspace ! facedetect ! videoconvert ! xvimagesink * ]| Detect and show faces * |[ * gst-launch-1.0 autovideosrc ! video/x-raw,width=320,height=240 ! videoconvert ! 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 using namespace std; #include "gstfacedetect.h" #include GST_DEBUG_CATEGORY_STATIC (gst_face_detect_debug); #define GST_CAT_DEFAULT gst_face_detect_debug #define HAAR_CASCADES_DIR OPENCV_PREFIX G_DIR_SEPARATOR_S "share" \ G_DIR_SEPARATOR_S OPENCV_PATH_NAME G_DIR_SEPARATOR_S "haarcascades" \ G_DIR_SEPARATOR_S #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 1.25 #if (CV_MAJOR_VERSION >= 4) #define DEFAULT_FLAGS CASCADE_DO_CANNY_PRUNING #else #define DEFAULT_FLAGS CV_HAAR_DO_CANNY_PRUNING #endif #define DEFAULT_MIN_NEIGHBORS 3 #define DEFAULT_MIN_SIZE_WIDTH 30 #define DEFAULT_MIN_SIZE_HEIGHT 30 #define DEFAULT_MIN_STDDEV 0 using namespace cv; /* 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, PROP_UPDATES, PROP_MIN_STDDEV }; /* * 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()) inline void structure_and_message (const vector < Rect > &rectangles, const gchar * name, guint rx, guint ry, GstFaceDetect * filter, GstStructure * s) { Rect sr = rectangles[0]; gchar *nx = g_strconcat (name, "->x", NULL); gchar *ny = g_strconcat (name, "->y", NULL); gchar *nw = g_strconcat (name, "->width", NULL); gchar *nh = g_strconcat (name, "->height", NULL); GST_LOG_OBJECT (filter, "%s/%" G_GSIZE_FORMAT ": x,y = %4u,%4u: w.h = %4u,%4u", name, rectangles.size (), rx + sr.x, ry + sr.y, sr.width, sr.height); gst_structure_set (s, nx, G_TYPE_UINT, rx + sr.x, ny, G_TYPE_UINT, ry + sr.y, nw, G_TYPE_UINT, sr.width, nh, G_TYPE_UINT, sr.height, NULL); g_free (nx); g_free (ny); g_free (nw); g_free (nh); } 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; } #define GST_TYPE_FACE_DETECT_UPDATES (facedetect_update_get_type ()) static GType facedetect_update_get_type (void) { static GType facedetect_update_type = 0; static const GEnumValue facedetect_update[] = { {GST_FACEDETECT_UPDATES_EVERY_FRAME, "Send update messages on every frame", "every_frame"}, {GST_FACEDETECT_UPDATES_ON_CHANGE, "Send messages when a new face is detected or one is not anymore detected", "on_change"}, {GST_FACEDETECT_UPDATES_ON_FACE, "Send messages whenever a face is detected", "on_face"}, {GST_FACEDETECT_UPDATES_NONE, "Send no messages update", "none"}, {0, NULL, NULL}, }; if (!facedetect_update_type) { facedetect_update_type = g_enum_register_static ("GstFaceDetectUpdates", facedetect_update); } return facedetect_update_type; } /* 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_MAKE ("RGB")) ); static GstStaticPadTemplate src_factory = GST_STATIC_PAD_TEMPLATE ("src", GST_PAD_SRC, GST_PAD_ALWAYS, GST_STATIC_CAPS (GST_VIDEO_CAPS_MAKE ("RGB")) ); G_DEFINE_TYPE_WITH_CODE (GstFaceDetect, gst_face_detect, GST_TYPE_OPENCV_VIDEO_FILTER, GST_DEBUG_CATEGORY_INIT (gst_face_detect_debug, "facedetect", 0, "Performs face detection on videos and images, providing detected positions via bus messages");); GST_ELEMENT_REGISTER_DEFINE (facedetect, "facedetect", GST_RANK_NONE, GST_TYPE_FACE_DETECT); 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, int in_cv_type, gint out_width, gint out_height, int out_cv_type); static GstFlowReturn gst_face_detect_transform_ip (GstOpencvVideoFilter * base, GstBuffer * buf, Mat img); static CascadeClassifier *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); filter->cvGray.release (); g_free (filter->face_profile); g_free (filter->nose_profile); g_free (filter->mouth_profile); g_free (filter->eyes_profile); if (filter->cvFaceDetect) delete (filter->cvFaceDetect); if (filter->cvNoseDetect) delete (filter->cvNoseDetect); if (filter->cvMouthDetect) delete (filter->cvMouthDetect); if (filter->cvEyesDetect) delete (filter->cvEyesDetect); G_OBJECT_CLASS (gst_face_detect_parent_class)->finalize (obj); } /* initialize the facedetect's class */ static void gst_face_detect_class_init (GstFaceDetectClass * klass) { GObjectClass *gobject_class; GstOpencvVideoFilterClass *gstopencvbasefilter_class; GstElementClass *element_class = GST_ELEMENT_CLASS (klass); 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, (GParamFlags) (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, (GParamFlags) (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, (GParamFlags) (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, (GParamFlags) (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, (GParamFlags) (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, (GParamFlags) (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, (GParamFlags) (G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS))); g_object_class_install_property (gobject_class, PROP_MIN_NEIGHBORS, g_param_spec_int ("min-neighbors", "Minimum neighbors", "Minimum number (minus 1) of neighbor rectangles that makes up " "an object", 0, G_MAXINT, DEFAULT_MIN_NEIGHBORS, (GParamFlags) (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, (GParamFlags) (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, (GParamFlags) (G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS))); g_object_class_install_property (gobject_class, PROP_UPDATES, g_param_spec_enum ("updates", "Updates", "When send update bus messages, if at all", GST_TYPE_FACE_DETECT_UPDATES, GST_FACEDETECT_UPDATES_EVERY_FRAME, (GParamFlags) (G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS))); g_object_class_install_property (gobject_class, PROP_MIN_STDDEV, g_param_spec_int ("min-stddev", "Minimum image standard deviation", "Minimum image average standard deviation: on images with standard " "deviation lesser than this value facedetection will not be " "performed. Setting this property help to save cpu and reduce " "false positives not performing face detection on images with " "little changes", 0, 255, DEFAULT_MIN_STDDEV, (GParamFlags) (G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS))); gst_element_class_set_static_metadata (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_static_pad_template (element_class, &src_factory); gst_element_class_add_static_pad_template (element_class, &sink_factory); gst_type_mark_as_plugin_api (GST_TYPE_OPENCV_FACE_DETECT_FLAGS, (GstPluginAPIFlags) 0); gst_type_mark_as_plugin_api (GST_TYPE_FACE_DETECT_UPDATES, (GstPluginAPIFlags) 0); } /* initialize the new element * initialize instance structure */ static void gst_face_detect_init (GstFaceDetect * filter) { 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->face_detected = FALSE; 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->min_stddev = DEFAULT_MIN_STDDEV; 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); filter->updates = GST_FACEDETECT_UPDATES_EVERY_FRAME; } 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) delete (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) delete (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) delete (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) delete (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_MIN_STDDEV: filter->min_stddev = g_value_get_int (value); break; case PROP_FLAGS: filter->flags = g_value_get_flags (value); break; case PROP_UPDATES: filter->updates = g_value_get_enum (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_MIN_STDDEV: g_value_set_int (value, filter->min_stddev); break; case PROP_FLAGS: g_value_set_flags (value, filter->flags); break; case PROP_UPDATES: g_value_set_enum (value, filter->updates); 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, int in_cv_type, gint out_width, gint out_height, int out_cv_type) { GstFaceDetect *filter; filter = GST_FACE_DETECT (transform); filter->cvGray.create (Size (in_width, in_height), CV_8UC1); 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 void gst_face_detect_run_detector (GstFaceDetect * filter, CascadeClassifier * detector, gint min_size_width, gint min_size_height, Rect r, vector < Rect > &faces) { double img_stddev = 0; if (filter->min_stddev > 0) { Scalar mean, stddev; meanStdDev (filter->cvGray, mean, stddev); img_stddev = stddev.val[0]; } if (img_stddev >= filter->min_stddev) { Mat roi (filter->cvGray, r); detector->detectMultiScale (roi, faces, filter->scale_factor, filter->min_neighbors, filter->flags, Size (min_size_width, min_size_height), Size (0, 0)); } else { GST_LOG_OBJECT (filter, "Calculated stddev %f lesser than min_stddev %d, detection not performed", img_stddev, filter->min_stddev); } } /* * Performs the face detection */ static GstFlowReturn gst_face_detect_transform_ip (GstOpencvVideoFilter * base, GstBuffer * buf, Mat img) { GstFaceDetect *filter = GST_FACE_DETECT (base); if (filter->cvFaceDetect) { GstMessage *msg = NULL; GstStructure *s; GValue facelist = { 0 }; GValue facedata = { 0 }; vector < Rect > faces; vector < Rect > mouth; vector < Rect > nose; vector < Rect > eyes; gboolean post_msg = FALSE; cvtColor (img, filter->cvGray, COLOR_RGB2GRAY); gst_face_detect_run_detector (filter, filter->cvFaceDetect, filter->min_size_width, filter->min_size_height, Rect (0, 0, filter->cvGray.size ().width, filter->cvGray.size ().height), faces); switch (filter->updates) { case GST_FACEDETECT_UPDATES_EVERY_FRAME: post_msg = TRUE; break; case GST_FACEDETECT_UPDATES_ON_CHANGE: if (!faces.empty ()) { if (!filter->face_detected) post_msg = TRUE; } else { if (filter->face_detected) { post_msg = TRUE; } } break; case GST_FACEDETECT_UPDATES_ON_FACE: if (!faces.empty ()) { post_msg = TRUE; } else { post_msg = FALSE; } break; case GST_FACEDETECT_UPDATES_NONE: post_msg = FALSE; break; default: post_msg = TRUE; break; } filter->face_detected = !faces.empty ()? TRUE : FALSE; if (post_msg) { msg = gst_face_detect_message_new (filter, buf); g_value_init (&facelist, GST_TYPE_LIST); } for (unsigned int i = 0; i < faces.size (); ++i) { Rect r = 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; guint rhh = r.height / 2; 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 = rhh; gst_face_detect_run_detector (filter, filter->cvNoseDetect, mw, mh, Rect (rnx, rny, rnw, rnh), nose); have_nose = !nose.empty (); } else { have_nose = FALSE; } if (filter->cvMouthDetect) { rmx = r.x; rmy = r.y + r.height / 2; rmw = r.width; rmh = rhh; gst_face_detect_run_detector (filter, filter->cvMouthDetect, mw, mh, Rect (rmx, rmy, rmw, rmh), mouth); have_mouth = !mouth.empty (); } else { have_mouth = FALSE; } if (filter->cvEyesDetect) { rex = r.x; rey = r.y; rew = r.width; reh = rhh; gst_face_detect_run_detector (filter, filter->cvEyesDetect, mw, mh, Rect (rex, rey, rew, reh), eyes); have_eyes = !eyes.empty (); } else { have_eyes = FALSE; } GST_LOG_OBJECT (filter, "%2d/%2" G_GSIZE_FORMAT ": x,y = %4u,%4u: w.h = %4u,%4u : features(e,n,m) = %d,%d,%d", i, faces.size (), r.x, r.y, r.width, r.height, have_eyes, have_nose, have_mouth); if (post_msg) { 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) structure_and_message (nose, "nose", rnx, rny, filter, s); if (have_mouth) structure_and_message (mouth, "mouth", rmx, rmy, filter, s); if (have_eyes) structure_and_message (eyes, "eyes", rex, rey, filter, s); 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 (filter->display) { Point center; Size 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 */ ellipse (img, center, axes, 0, 0, 360, Scalar (cr, cg, cb), 3, 8, 0); if (have_nose) { Rect sr = 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 */ ellipse (img, center, axes, 0, 0, 360, Scalar (cr, cg, cb), 1, 8, 0); } if (have_mouth) { Rect sr = 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; ellipse (img, center, axes, 0, 0, 360, Scalar (cr, cg, cb), 1, 8, 0); } if (have_eyes) { Rect sr = 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; ellipse (img, center, axes, 0, 0, 360, Scalar (cr, cg, cb), 1, 8, 0); } } gst_buffer_add_video_region_of_interest_meta (buf, "face", (guint) r.x, (guint) r.y, (guint) r.width, (guint) r.height); } if (post_msg) { gst_structure_set_value ((GstStructure *) gst_message_get_structure (msg), "faces", &facelist); g_value_unset (&facelist); gst_element_post_message (GST_ELEMENT (filter), msg); } } return GST_FLOW_OK; } static CascadeClassifier * gst_face_detect_load_profile (GstFaceDetect * filter, gchar * profile) { CascadeClassifier *cascade; cascade = new CascadeClassifier (profile); if (cascade->empty ()) { GST_ERROR_OBJECT (filter, "Invalid profile file: %s", profile); delete cascade; return NULL; } return cascade; }