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coral / mtk-gst-plugins-bad-debian / c0074a3c8be9273c85ed258b0bc19de594b704a1 / . / ext / opencv / gstfacedetect.c
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/*
* GStreamer
* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
* Copyright (C) 2011 Stefan Sauer <ensonic@users.sf.net>
* Copyright (C) 2014 Robert Jobbagy <jobbagy.robert@gmail.com>
*
* 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 &lt;= GstFaceDetect::min-size-width or
* GstFaceDetect::min-size-height.
*
* <refsect2>
* <title>Example launch line</title>
* |[
* gst-launch-1.0 autovideosrc ! decodebin2 ! 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
*
* </refsect2>
*/
/* 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 <config.h>
#endif
#include <gst/gst.h>
#include <gst/video/gstvideometa.h>
#include "gstopencvutils.h"
#include "gstfacedetect.h"
#include <opencv2/imgproc/imgproc_c.h>
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" 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
#define DEFAULT_FLAGS CV_HAAR_DO_CANNY_PRUNING
#define DEFAULT_MIN_NEIGHBORS 3
#define DEFAULT_MIN_SIZE_WIDTH 30
#define DEFAULT_MIN_SIZE_HEIGHT 30
#define DEFAULT_MIN_STDDEV 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,
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())
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 (GstFaceDetect, gst_face_detect, 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 (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, 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));
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,
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, 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 <mike@mikeasoft.com>");
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 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)
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_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, 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)
{
double img_stddev = 0;
if (filter->min_stddev > 0) {
CvScalar mean, stddev;
cvAvgSdv (filter->cvGray, &mean, &stddev, NULL);
img_stddev = stddev.val[0];
}
if (img_stddev >= filter->min_stddev) {
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 (0, 0)
#endif
);
} else {
GST_LOG_OBJECT (filter,
"Calculated stddev %f lesser than min_stddev %d, detection not performed",
img_stddev, filter->min_stddev);
return cvCreateSeq (0, sizeof (CvSeq), sizeof (CvPoint), filter->cvStorage);
}
}
/*
* 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;
gboolean post_msg = 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);
switch (filter->updates) {
case GST_FACEDETECT_UPDATES_EVERY_FRAME:
post_msg = TRUE;
break;
case GST_FACEDETECT_UPDATES_ON_CHANGE:
if (faces && faces->total > 0) {
if (!filter->face_detected)
post_msg = TRUE;
} else {
if (filter->face_detected) {
post_msg = TRUE;
}
}
break;
case GST_FACEDETECT_UPDATES_ON_FACE:
if (faces && faces->total > 0) {
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 ? faces->total > 0 : FALSE;
if (post_msg) {
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);
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) {
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_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 CvHaarClassifierCascade *
gst_face_detect_load_profile (GstFaceDetect * filter, gchar * profile)
{
CvHaarClassifierCascade *cascade;
if (profile == NULL)
return NULL;
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);
}