mirror of
https://gitlab.freedesktop.org/gstreamer/gstreamer.git
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404 lines
15 KiB
C++
404 lines
15 KiB
C++
/*
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* GStreamer
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* Copyright (C) 2013 Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>
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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-skindetect
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*
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* Human skin detection on videos and images
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*
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* ## Example launch line
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*
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* |[
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* gst-launch-1.0 videotestsrc ! decodebin ! videoconvert ! skindetect ! videoconvert ! xvimagesink
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* ]|
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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 "gstskindetect.h"
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#include <opencv2/imgproc.hpp>
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GST_DEBUG_CATEGORY_STATIC (gst_skin_detect_debug);
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#define GST_CAT_DEFAULT gst_skin_detect_debug
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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_POSTPROCESS,
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PROP_METHOD,
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PROP_MASK
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};
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typedef enum
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{
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HSV,
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RGB
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} GstSkindetectMethod;
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#define GST_TYPE_SKIN_DETECT_METHOD (gst_skin_detect_method_get_type ())
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static GType
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gst_skin_detect_method_get_type (void)
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{
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static GType etype = 0;
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if (etype == 0) {
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static const GEnumValue values[] = {
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{HSV, "Classic HSV thresholding", "hsv"},
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{RGB, "Normalised-RGB colorspace thresholding", "rgb"},
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{0, NULL, NULL},
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};
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etype = g_enum_register_static ("GstSkindetectMethod", values);
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}
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return etype;
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}
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G_DEFINE_TYPE (GstSkinDetect, gst_skin_detect, GST_TYPE_OPENCV_VIDEO_FILTER);
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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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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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static void gst_skin_detect_set_property (GObject * object, guint prop_id,
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const GValue * value, GParamSpec * pspec);
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static void gst_skin_detect_get_property (GObject * object, guint prop_id,
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GValue * value, GParamSpec * pspec);
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static GstFlowReturn gst_skin_detect_transform (GstOpencvVideoFilter * filter,
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GstBuffer * buf, cv::Mat img, GstBuffer * outbuf, cv::Mat outimg);
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static void gst_skin_detect_finalize (GObject * object);
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static gboolean
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gst_skin_detect_set_caps (GstOpencvVideoFilter * transform,
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gint in_width, gint in_height, int in_cv_type,
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gint out_width, gint out_height, int out_cv_type);
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/* initialize the skindetect's class */
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static void
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gst_skin_detect_class_init (GstSkinDetectClass * klass)
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{
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GObjectClass *gobject_class;
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GstElementClass *element_class = GST_ELEMENT_CLASS (klass);
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GstOpencvVideoFilterClass *gstopencvbasefilter_class;
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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_skin_detect_finalize);
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gobject_class->set_property = gst_skin_detect_set_property;
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gobject_class->get_property = gst_skin_detect_get_property;
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gstopencvbasefilter_class->cv_trans_func = gst_skin_detect_transform;
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g_object_class_install_property (gobject_class, PROP_POSTPROCESS,
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g_param_spec_boolean ("postprocess", "Postprocess",
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"Apply opening-closing to skin detection to extract large, significant blobs ",
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TRUE, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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g_object_class_install_property (gobject_class, PROP_METHOD,
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g_param_spec_enum ("method",
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"Method to use",
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"Method to use",
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GST_TYPE_SKIN_DETECT_METHOD, HSV,
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(GParamFlags) (G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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gst_element_class_set_static_metadata (element_class,
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"skindetect",
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"Filter/Effect/Video",
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"Performs non-parametric skin detection on input",
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"Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>");
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gst_element_class_add_static_pad_template (element_class, &src_factory);
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gst_element_class_add_static_pad_template (element_class, &sink_factory);
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gstopencvbasefilter_class->cv_set_caps = gst_skin_detect_set_caps;
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gst_type_mark_as_plugin_api (GST_TYPE_SKIN_DETECT_METHOD, (GstPluginAPIFlags) 0);
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}
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/* initialize the new element
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* instantiate pads and add them to element
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* set pad callback functions
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* initialize instance structure
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*/
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static void
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gst_skin_detect_init (GstSkinDetect * filter)
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{
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filter->postprocess = TRUE;
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filter->method = HSV;
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gst_opencv_video_filter_set_in_place (GST_OPENCV_VIDEO_FILTER_CAST (filter),
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FALSE);
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}
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static void
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gst_skin_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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GstSkinDetect *filter = GST_SKIN_DETECT (object);
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switch (prop_id) {
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case PROP_POSTPROCESS:
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filter->postprocess = g_value_get_boolean (value);
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break;
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case PROP_METHOD:
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filter->method = 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_skin_detect_get_property (GObject * object, guint prop_id,
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GValue * value, GParamSpec * pspec)
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{
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GstSkinDetect *filter = GST_SKIN_DETECT (object);
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switch (prop_id) {
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case PROP_POSTPROCESS:
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g_value_set_boolean (value, filter->postprocess);
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break;
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case PROP_METHOD:
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g_value_set_enum (value, filter->method);
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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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/* GstElement vmethod implementations */
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/* this function handles the link with other elements */
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static gboolean
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gst_skin_detect_set_caps (GstOpencvVideoFilter * transform,
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gint in_width, gint in_height, int in_cv_type,
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gint out_width, gint out_height, int out_cv_type)
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{
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GstSkinDetect *filter = GST_SKIN_DETECT (transform);
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cv::Size size = cv::Size (in_width, in_height);
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filter->cvRGB.create (size, CV_8UC3);
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filter->cvChA.create (size, CV_8UC1);
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filter->width = in_width;
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filter->height = in_height;
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filter->cvHSV.create (size, CV_8UC3);
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filter->cvH.create (size, CV_8UC1); /* Hue component. */
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filter->cvH2.create (size, CV_8UC1); /* Hue component, 2nd threshold */
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filter->cvS.create (size, CV_8UC1); /* Saturation component. */
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filter->cvV.create (size, CV_8UC1); /* Brightness component. */
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filter->cvSkinPixels1.create (size, CV_8UC1); /* Greyscale output image */
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filter->cvR.create (size, CV_8UC1); /* R component. */
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filter->cvG.create (size, CV_8UC1); /* G component. */
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filter->cvB.create (size, CV_8UC1); /* B component. */
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filter->cvAll.create (size, CV_32FC1); /* (R+G+B) component. */
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filter->cvR2.create (size, CV_32FC1); /* R component, 32bits */
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filter->cvRp.create (size, CV_32FC1); /* R' and >0.4 */
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filter->cvGp.create (size, CV_32FC1); /* G' and > 0.28 */
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filter->cvRp2.create (size, CV_32FC1); /* R' <0.6 */
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filter->cvGp2.create (size, CV_32FC1); /* G' <0.4 */
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filter->cvSkinPixels2.create (size, CV_32FC1); /* Greyscale output image. */
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filter->cvdraft.create (size, CV_8UC1); /* Greyscale output image. */
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return TRUE;
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}
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/* Clean up */
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static void
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gst_skin_detect_finalize (GObject * object)
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{
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GstSkinDetect *filter = GST_SKIN_DETECT (object);
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filter->cvRGB.release ();
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filter->cvChA.release ();
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filter->cvHSV.release ();
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filter->cvH.release ();
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filter->cvH2.release ();
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filter->cvS.release ();
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filter->cvV.release ();
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filter->cvSkinPixels1.release ();
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filter->cvR.release ();
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filter->cvG.release ();
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filter->cvB.release ();
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filter->cvAll.release ();
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filter->cvR2.release ();
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filter->cvRp.release ();
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filter->cvGp.release ();
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filter->cvRp2.release ();
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filter->cvGp2.release ();
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filter->cvdraft.release ();
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filter->cvSkinPixels2.release ();
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G_OBJECT_CLASS (gst_skin_detect_parent_class)->finalize (object);
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}
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static GstFlowReturn
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gst_skin_detect_transform (GstOpencvVideoFilter * base, GstBuffer * buf,
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cv::Mat img, GstBuffer * outbuf, cv::Mat outimg)
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{
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GstSkinDetect *filter = GST_SKIN_DETECT (base);
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std::vector < cv::Mat > channels (3);
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filter->cvRGB = cv::Mat (img);
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/* SKIN COLOUR BLOB DETECTION */
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if (HSV == filter->method) {
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cv::cvtColor (filter->cvRGB, filter->cvHSV, cv::COLOR_RGB2HSV);
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cv::split (filter->cvHSV, channels);
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filter->cvH = channels.at (0);
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filter->cvS = channels.at (1);
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filter->cvV = channels.at (2);
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/* Detect which pixels in each of the H, S and V channels are probably skin pixels.
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Assume that skin has a Hue between 0 to 18 (out of 180), and Saturation above 50, and Brightness above 80. */
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cv::threshold (filter->cvH, filter->cvH2, 10, UCHAR_MAX, cv::THRESH_BINARY); /* (hue > 10) */
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cv::threshold (filter->cvH, filter->cvH, 20, UCHAR_MAX, cv::THRESH_BINARY_INV); /* (hue < 20) */
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cv::threshold (filter->cvS, filter->cvS, 48, UCHAR_MAX, cv::THRESH_BINARY); /* (sat > 48) */
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cv::threshold (filter->cvV, filter->cvV, 80, UCHAR_MAX, cv::THRESH_BINARY); /* (val > 80) */
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/* erode the HUE to get rid of noise. */
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cv::erode (filter->cvH, filter->cvH, cv::Mat (), cv::Point (-1, -1), 1);
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/* Combine all 3 thresholded color components, so that an output pixel will only
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be white (255) if the H, S and V pixels were also white.
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imageSkin = (hue > 10) ^ (hue < 20) ^ (sat > 48) ^ (val > 80), where ^ mean pixels-wise AND */
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cv::bitwise_and (filter->cvH, filter->cvS, filter->cvSkinPixels1);
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cv::bitwise_and (filter->cvSkinPixels1, filter->cvH2,
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filter->cvSkinPixels1);
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cv::bitwise_and (filter->cvSkinPixels1, filter->cvV, filter->cvSkinPixels1);
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cv::cvtColor (filter->cvSkinPixels1, filter->cvRGB, cv::COLOR_GRAY2RGB);
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} else if (RGB == filter->method) {
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cv::split (filter->cvRGB, channels);
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filter->cvR = channels.at (0);
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filter->cvG = channels.at (1);
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filter->cvB = channels.at (2);
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cv::add (filter->cvR, filter->cvG, filter->cvAll);
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cv::add (filter->cvB, filter->cvAll, filter->cvAll); /* All = R + G + B */
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cv::divide (filter->cvR, filter->cvAll, filter->cvRp, 1.0, filter->cvRp.type ()); /* R' = R / ( R + G + B) */
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cv::divide (filter->cvG, filter->cvAll, filter->cvGp, 1.0, filter->cvGp.type ()); /* G' = G / ( R + G + B) */
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filter->cvR.convertTo (filter->cvR2, filter->cvR2.type (), 1.0, 0.0);
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filter->cvGp.copyTo (filter->cvGp2);
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filter->cvRp.copyTo (filter->cvRp2);
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cv::threshold (filter->cvR2, filter->cvR2, 60, UCHAR_MAX, cv::THRESH_BINARY); /* (R > 60) */
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cv::threshold (filter->cvRp, filter->cvRp, 0.42, UCHAR_MAX, cv::THRESH_BINARY); /* (R'> 0.4) */
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cv::threshold (filter->cvRp2, filter->cvRp2, 0.6, UCHAR_MAX, cv::THRESH_BINARY_INV); /* (R'< 0.6) */
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cv::threshold (filter->cvGp, filter->cvGp, 0.28, UCHAR_MAX, cv::THRESH_BINARY); /* (G'> 0.28) */
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cv::threshold (filter->cvGp2, filter->cvGp2, 0.4, UCHAR_MAX, cv::THRESH_BINARY_INV); /* (G'< 0.4) */
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/* Combine all 3 thresholded color components, so that an output pixel will only
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be white (255) if the H, S and V pixels were also white. */
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cv::bitwise_and (filter->cvR2, filter->cvRp, filter->cvSkinPixels2);
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cv::bitwise_and (filter->cvRp, filter->cvSkinPixels2,
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filter->cvSkinPixels2);
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cv::bitwise_and (filter->cvRp2, filter->cvSkinPixels2,
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filter->cvSkinPixels2);
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cv::bitwise_and (filter->cvGp, filter->cvSkinPixels2,
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filter->cvSkinPixels2);
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cv::bitwise_and (filter->cvGp2, filter->cvSkinPixels2,
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filter->cvSkinPixels2);
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filter->cvSkinPixels2.convertTo (filter->cvdraft, filter->cvdraft.type (),
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1.0, 0.0);
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cv::cvtColor (filter->cvdraft, filter->cvRGB, cv::COLOR_GRAY2RGB);
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}
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/* After this we have a RGB Black and white image with the skin, in
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filter->cvRGB. We can postprocess by applying 1 erode-dilate and 1
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dilate-erode, or alternatively 1 opening-closing all together, with
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the goal of removing small (spurious) skin spots and creating large
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connected areas */
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if (filter->postprocess) {
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cv::split (filter->cvRGB, channels);
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filter->cvChA = channels.at (0);
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cv::Mat element =
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cv::getStructuringElement (cv::MORPH_RECT, cv::Size (3, 3),
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cv::Point (1, 1));
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cv::erode (filter->cvChA, filter->cvChA, element, cv::Point (1, 1), 1);
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cv::dilate (filter->cvChA, filter->cvChA, element, cv::Point (1, 1), 2);
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cv::erode (filter->cvChA, filter->cvChA, element, cv::Point (1, 1), 1);
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cv::cvtColor (filter->cvChA, filter->cvRGB, cv::COLOR_GRAY2RGB);
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}
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filter->cvRGB.copyTo (outimg);
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return GST_FLOW_OK;
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}
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/* entry point to initialize the plug-in
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* initialize the plug-in itself
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* register the element factories and other features
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*/
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gboolean
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gst_skin_detect_plugin_init (GstPlugin * plugin)
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{
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/* debug category for fltering log messages
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*
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*/
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GST_DEBUG_CATEGORY_INIT (gst_skin_detect_debug, "skindetect",
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0, "Performs skin detection on videos and images");
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return gst_element_register (plugin, "skindetect", GST_RANK_NONE,
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GST_TYPE_SKIN_DETECT);
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}
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