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792 lines
27 KiB
C
792 lines
27 KiB
C
/*
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* GStreamer
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* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
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* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
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* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
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* Copyright (C) 2011 Stefan Sauer <ensonic@users.sf.net>
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*
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* Alternatively, the contents of this file may be used under the
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* GNU Lesser General Public License Version 2.1 (the "LGPL"), in
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* which case the following provisions apply instead of the ones
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* mentioned above:
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Library General Public
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* License as published by the Free Software Foundation; either
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* version 2 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Library General Public License for more details.
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*
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* You should have received a copy of the GNU Library General Public
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* License along with this library; if not, write to the
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* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
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* Boston, MA 02110-1301, USA.
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*/
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/**
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* SECTION:element-facedetect
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*
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* Performs face detection on videos and images.
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*
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* The image is scaled down multiple times using the GstFaceDetect::scale-factor
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* until the size is <= GstFaceDetect::min-size-width or
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* GstFaceDetect::min-size-height.
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*
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* <refsect2>
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* <title>Example launch line</title>
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* |[
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* gst-launch-0.10 autovideosrc ! decodebin2 ! colorspace ! facedetect ! videoconvert ! xvimagesink
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* ]| Detect and show faces
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* |[
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* gst-launch-0.10 autovideosrc ! video/x-raw,width=320,height=240 ! videoconvert ! facedetect min-size-width=60 min-size-height=60 ! colorspace ! xvimagesink
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* ]| Detect large faces on a smaller image
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*
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* </refsect2>
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*/
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/* FIXME: development version of OpenCV has CV_HAAR_FIND_BIGGEST_OBJECT which
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* we might want to use if available
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* see https://code.ros.org/svn/opencv/trunk/opencv/modules/objdetect/src/haar.cpp
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*/
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#ifdef HAVE_CONFIG_H
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# include <config.h>
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#endif
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#include <gst/gst.h>
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#include <gst/video/gstvideometa.h>
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#include "gstopencvutils.h"
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#include "gstfacedetect.h"
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GST_DEBUG_CATEGORY_STATIC (gst_face_detect_debug);
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#define GST_CAT_DEFAULT gst_face_detect_debug
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#define HAAR_CASCADES_DIR OPENCV_PREFIX G_DIR_SEPARATOR_S "share" \
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G_DIR_SEPARATOR_S "opencv" G_DIR_SEPARATOR_S "haarcascades" \
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G_DIR_SEPARATOR_S
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#define DEFAULT_FACE_PROFILE HAAR_CASCADES_DIR "haarcascade_frontalface_default.xml"
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#define DEFAULT_NOSE_PROFILE HAAR_CASCADES_DIR "haarcascade_mcs_nose.xml"
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#define DEFAULT_MOUTH_PROFILE HAAR_CASCADES_DIR "haarcascade_mcs_mouth.xml"
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#define DEFAULT_EYES_PROFILE HAAR_CASCADES_DIR "haarcascade_mcs_eyepair_small.xml"
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#define DEFAULT_SCALE_FACTOR 1.1
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#define DEFAULT_FLAGS 0
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#define DEFAULT_MIN_NEIGHBORS 3
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#define DEFAULT_MIN_SIZE_WIDTH 0
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#define DEFAULT_MIN_SIZE_HEIGHT 0
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/* Filter signals and args */
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enum
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{
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/* FILL ME */
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LAST_SIGNAL
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};
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enum
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{
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PROP_0,
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PROP_DISPLAY,
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PROP_FACE_PROFILE,
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PROP_NOSE_PROFILE,
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PROP_MOUTH_PROFILE,
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PROP_EYES_PROFILE,
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PROP_SCALE_FACTOR,
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PROP_MIN_NEIGHBORS,
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PROP_FLAGS,
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PROP_MIN_SIZE_WIDTH,
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PROP_MIN_SIZE_HEIGHT,
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PROP_UPDATES
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};
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/*
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* GstOpencvFaceDetectFlags:
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*
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* Flags parameter to OpenCV's cvHaarDetectObjects function.
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*/
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typedef enum
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{
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GST_OPENCV_FACE_DETECT_HAAR_DO_CANNY_PRUNING = (1 << 0)
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} GstOpencvFaceDetectFlags;
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#define GST_TYPE_OPENCV_FACE_DETECT_FLAGS (gst_opencv_face_detect_flags_get_type())
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static void
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register_gst_opencv_face_detect_flags (GType * id)
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{
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static const GFlagsValue values[] = {
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{(guint) GST_OPENCV_FACE_DETECT_HAAR_DO_CANNY_PRUNING,
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"Do Canny edge detection to discard some regions", "do-canny-pruning"},
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{0, NULL, NULL}
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};
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*id = g_flags_register_static ("GstOpencvFaceDetectFlags", values);
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}
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static GType
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gst_opencv_face_detect_flags_get_type (void)
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{
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static GType id;
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static GOnce once = G_ONCE_INIT;
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g_once (&once, (GThreadFunc) register_gst_opencv_face_detect_flags, &id);
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return id;
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}
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#define GST_TYPE_FACE_DETECT_UPDATES (facedetect_update_get_type ())
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static GType
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facedetect_update_get_type (void)
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{
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static GType facedetect_update_type = 0;
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static const GEnumValue facedetect_update[] = {
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{GST_FACEDETECT_UPDATES_EVERY_FRAME, "Send update messages on every frame",
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"every_frame"},
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{GST_FACEDETECT_UPDATES_ON_CHANGE,
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"Send update messages on change (face detected/not detected)",
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"on_change"},
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{GST_FACEDETECT_UPDATES_ON_FACE,
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"Send update messages when a face is detected",
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"on_face"},
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{GST_FACEDETECT_UPDATES_NONE, "Send no messages update", "none"},
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{0, NULL, NULL},
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};
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if (!facedetect_update_type) {
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facedetect_update_type =
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g_enum_register_static ("GstFaceDetectUpdates", facedetect_update);
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}
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return facedetect_update_type;
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}
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/* the capabilities of the inputs and outputs.
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*/
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static GstStaticPadTemplate sink_factory = GST_STATIC_PAD_TEMPLATE ("sink",
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GST_PAD_SINK,
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GST_PAD_ALWAYS,
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GST_STATIC_CAPS (GST_VIDEO_CAPS_MAKE ("RGB"))
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);
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static GstStaticPadTemplate src_factory = GST_STATIC_PAD_TEMPLATE ("src",
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GST_PAD_SRC,
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GST_PAD_ALWAYS,
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GST_STATIC_CAPS (GST_VIDEO_CAPS_MAKE ("RGB"))
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);
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G_DEFINE_TYPE (GstFaceDetect, gst_face_detect, GST_TYPE_OPENCV_VIDEO_FILTER);
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static void gst_face_detect_set_property (GObject * object, guint prop_id,
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const GValue * value, GParamSpec * pspec);
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static void gst_face_detect_get_property (GObject * object, guint prop_id,
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GValue * value, GParamSpec * pspec);
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static gboolean gst_face_detect_set_caps (GstOpencvVideoFilter * transform,
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gint in_width, gint in_height, gint in_depth, gint in_channels,
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gint out_width, gint out_height, gint out_depth, gint out_channels);
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static GstFlowReturn gst_face_detect_transform_ip (GstOpencvVideoFilter * base,
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GstBuffer * buf, IplImage * img);
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static CvHaarClassifierCascade *gst_face_detect_load_profile (GstFaceDetect *
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filter, gchar * profile);
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/* Clean up */
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static void
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gst_face_detect_finalize (GObject * obj)
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{
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GstFaceDetect *filter = GST_FACE_DETECT (obj);
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if (filter->cvGray)
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cvReleaseImage (&filter->cvGray);
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if (filter->cvStorage)
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cvReleaseMemStorage (&filter->cvStorage);
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g_free (filter->face_profile);
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g_free (filter->nose_profile);
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g_free (filter->mouth_profile);
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g_free (filter->eyes_profile);
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if (filter->cvFaceDetect)
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cvReleaseHaarClassifierCascade (&filter->cvFaceDetect);
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if (filter->cvNoseDetect)
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cvReleaseHaarClassifierCascade (&filter->cvNoseDetect);
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if (filter->cvMouthDetect)
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cvReleaseHaarClassifierCascade (&filter->cvMouthDetect);
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if (filter->cvEyesDetect)
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cvReleaseHaarClassifierCascade (&filter->cvEyesDetect);
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G_OBJECT_CLASS (gst_face_detect_parent_class)->finalize (obj);
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}
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/* initialize the facedetect's class */
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static void
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gst_face_detect_class_init (GstFaceDetectClass * klass)
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{
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GObjectClass *gobject_class;
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GstOpencvVideoFilterClass *gstopencvbasefilter_class;
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GstElementClass *element_class = GST_ELEMENT_CLASS (klass);
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gobject_class = (GObjectClass *) klass;
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gstopencvbasefilter_class = (GstOpencvVideoFilterClass *) klass;
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gobject_class->finalize = GST_DEBUG_FUNCPTR (gst_face_detect_finalize);
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gobject_class->set_property = gst_face_detect_set_property;
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gobject_class->get_property = gst_face_detect_get_property;
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gstopencvbasefilter_class->cv_trans_ip_func = gst_face_detect_transform_ip;
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gstopencvbasefilter_class->cv_set_caps = gst_face_detect_set_caps;
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g_object_class_install_property (gobject_class, PROP_DISPLAY,
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g_param_spec_boolean ("display", "Display",
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"Sets whether the detected faces should be highlighted in the output",
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TRUE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_FACE_PROFILE,
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g_param_spec_string ("profile", "Face profile",
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"Location of Haar cascade file to use for face detection",
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DEFAULT_FACE_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_NOSE_PROFILE,
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g_param_spec_string ("nose-profile", "Nose profile",
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"Location of Haar cascade file to use for nose detection",
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DEFAULT_NOSE_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_MOUTH_PROFILE,
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g_param_spec_string ("mouth-profile", "Mouth profile",
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"Location of Haar cascade file to use for mouth detection",
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DEFAULT_MOUTH_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_EYES_PROFILE,
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g_param_spec_string ("eyes-profile", "Eyes profile",
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"Location of Haar cascade file to use for eye-pair detection",
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DEFAULT_EYES_PROFILE, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_FLAGS,
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g_param_spec_flags ("flags", "Flags", "Flags to cvHaarDetectObjects",
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GST_TYPE_OPENCV_FACE_DETECT_FLAGS, DEFAULT_FLAGS,
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G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_SCALE_FACTOR,
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g_param_spec_double ("scale-factor", "Scale factor",
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"Factor by which the frame is scaled after each object scan",
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1.1, 10.0, DEFAULT_SCALE_FACTOR,
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G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_MIN_NEIGHBORS,
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g_param_spec_int ("min-neighbors", "Mininum neighbors",
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"Minimum number (minus 1) of neighbor rectangles that makes up "
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"an object", 0, G_MAXINT, DEFAULT_MIN_NEIGHBORS,
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G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_MIN_SIZE_WIDTH,
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g_param_spec_int ("min-size-width", "Minimum face width",
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"Minimum area width to be recognized as a face", 0, G_MAXINT,
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DEFAULT_MIN_SIZE_WIDTH, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_MIN_SIZE_HEIGHT,
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g_param_spec_int ("min-size-height", "Minimum face height",
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"Minimum area height to be recognized as a face", 0, G_MAXINT,
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DEFAULT_MIN_SIZE_HEIGHT, G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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g_object_class_install_property (gobject_class, PROP_UPDATES,
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g_param_spec_enum ("updates", "Updates",
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"When send update bus messages, if at all",
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GST_TYPE_FACE_DETECT_UPDATES, GST_FACEDETECT_UPDATES_EVERY_FRAME,
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G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS));
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gst_element_class_set_static_metadata (element_class,
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"facedetect",
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"Filter/Effect/Video",
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"Performs face detection on videos and images, providing detected positions via bus messages",
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"Michael Sheldon <mike@mikeasoft.com>");
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gst_element_class_add_pad_template (element_class,
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gst_static_pad_template_get (&src_factory));
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gst_element_class_add_pad_template (element_class,
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gst_static_pad_template_get (&sink_factory));
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}
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/* initialize the new element
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* initialize instance structure
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*/
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static void
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gst_face_detect_init (GstFaceDetect * filter)
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{
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filter->face_profile = g_strdup (DEFAULT_FACE_PROFILE);
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filter->nose_profile = g_strdup (DEFAULT_NOSE_PROFILE);
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filter->mouth_profile = g_strdup (DEFAULT_MOUTH_PROFILE);
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filter->eyes_profile = g_strdup (DEFAULT_EYES_PROFILE);
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filter->display = TRUE;
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filter->face_detected = FALSE;
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filter->scale_factor = DEFAULT_SCALE_FACTOR;
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filter->min_neighbors = DEFAULT_MIN_NEIGHBORS;
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filter->flags = DEFAULT_FLAGS;
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filter->min_size_width = DEFAULT_MIN_SIZE_WIDTH;
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filter->min_size_height = DEFAULT_MIN_SIZE_HEIGHT;
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filter->cvFaceDetect =
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gst_face_detect_load_profile (filter, filter->face_profile);
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filter->cvNoseDetect =
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gst_face_detect_load_profile (filter, filter->nose_profile);
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filter->cvMouthDetect =
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gst_face_detect_load_profile (filter, filter->mouth_profile);
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filter->cvEyesDetect =
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gst_face_detect_load_profile (filter, filter->eyes_profile);
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gst_opencv_video_filter_set_in_place (GST_OPENCV_VIDEO_FILTER_CAST (filter),
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TRUE);
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filter->updates = GST_FACEDETECT_UPDATES_EVERY_FRAME;
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}
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static void
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gst_face_detect_set_property (GObject * object, guint prop_id,
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const GValue * value, GParamSpec * pspec)
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{
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GstFaceDetect *filter = GST_FACE_DETECT (object);
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switch (prop_id) {
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case PROP_FACE_PROFILE:
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g_free (filter->face_profile);
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if (filter->cvFaceDetect)
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cvReleaseHaarClassifierCascade (&filter->cvFaceDetect);
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filter->face_profile = g_value_dup_string (value);
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filter->cvFaceDetect =
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gst_face_detect_load_profile (filter, filter->face_profile);
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break;
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case PROP_NOSE_PROFILE:
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g_free (filter->nose_profile);
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if (filter->cvNoseDetect)
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cvReleaseHaarClassifierCascade (&filter->cvNoseDetect);
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filter->nose_profile = g_value_dup_string (value);
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filter->cvNoseDetect =
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gst_face_detect_load_profile (filter, filter->nose_profile);
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break;
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case PROP_MOUTH_PROFILE:
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g_free (filter->mouth_profile);
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if (filter->cvMouthDetect)
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cvReleaseHaarClassifierCascade (&filter->cvMouthDetect);
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filter->mouth_profile = g_value_dup_string (value);
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filter->cvMouthDetect =
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gst_face_detect_load_profile (filter, filter->mouth_profile);
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break;
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case PROP_EYES_PROFILE:
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g_free (filter->eyes_profile);
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if (filter->cvEyesDetect)
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cvReleaseHaarClassifierCascade (&filter->cvEyesDetect);
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filter->eyes_profile = g_value_dup_string (value);
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filter->cvEyesDetect =
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gst_face_detect_load_profile (filter, filter->eyes_profile);
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break;
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case PROP_DISPLAY:
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filter->display = g_value_get_boolean (value);
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break;
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case PROP_SCALE_FACTOR:
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filter->scale_factor = g_value_get_double (value);
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break;
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case PROP_MIN_NEIGHBORS:
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filter->min_neighbors = g_value_get_int (value);
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break;
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case PROP_MIN_SIZE_WIDTH:
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filter->min_size_width = g_value_get_int (value);
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break;
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case PROP_MIN_SIZE_HEIGHT:
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filter->min_size_height = g_value_get_int (value);
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break;
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case PROP_FLAGS:
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filter->flags = g_value_get_flags (value);
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break;
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case PROP_UPDATES:
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filter->updates = g_value_get_enum (value);
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break;
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default:
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G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec);
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break;
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}
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}
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static void
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gst_face_detect_get_property (GObject * object, guint prop_id,
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GValue * value, GParamSpec * pspec)
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{
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GstFaceDetect *filter = GST_FACE_DETECT (object);
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switch (prop_id) {
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case PROP_FACE_PROFILE:
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g_value_set_string (value, filter->face_profile);
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break;
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case PROP_NOSE_PROFILE:
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g_value_set_string (value, filter->nose_profile);
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break;
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case PROP_MOUTH_PROFILE:
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g_value_set_string (value, filter->mouth_profile);
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break;
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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;
|
|
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)
|
|
{
|
|
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
|
|
);
|
|
}
|
|
|
|
/*
|
|
* 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) {
|
|
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 (!(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);
|
|
}
|