mirror of
https://gitlab.freedesktop.org/gstreamer/gstreamer.git
synced 2024-11-23 10:11:08 +00:00
855f84c558
- Replace deprecated methods - Add a check on ORT version we are compatible with. - Add clarification to the example given. - Add the url to retrieve the model mentioned in the example. Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/3388>
678 lines
23 KiB
C++
678 lines
23 KiB
C++
/*
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* GStreamer gstreamer-onnxobjectdetector
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* Copyright (C) 2021 Collabora Ltd.
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*
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* gstonnxobjectdetector.c
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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-onnxobjectdetector
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* @short_description: Detect objects in video frame
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*
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* This element can apply a generic ONNX object detection model such as YOLO or SSD
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* to each video frame.
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*
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* To install ONNX on your system, recursively clone this repository
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* https://github.com/microsoft/onnxruntime.git
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*
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* and build and install with cmake:
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*
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* CPU:
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*
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* cmake -Donnxruntime_BUILD_SHARED_LIB:ON -DBUILD_TESTING:OFF \
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* $SRC_DIR/onnxruntime/cmake && make -j8 && sudo make install
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*
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*
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* GPU :
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*
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* cmake -Donnxruntime_BUILD_SHARED_LIB:ON -DBUILD_TESTING:OFF -Donnxruntime_USE_CUDA:ON \
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* -Donnxruntime_CUDA_HOME=$CUDA_PATH -Donnxruntime_CUDNN_HOME=$CUDA_PATH \
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* $SRC_DIR/onnxruntime/cmake && make -j8 && sudo make install
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*
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*
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* where :
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*
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* 1. $SRC_DIR and $BUILD_DIR are local source and build directories
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* 2. To run with CUDA, both CUDA and cuDNN libraries must be installed.
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* $CUDA_PATH is an environment variable set to the CUDA root path.
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* On Linux, it would be /usr/local/cuda-XX.X where XX.X is the installed version of CUDA.
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*
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*
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* ## Example launch command:
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*
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* (note: an object detection model has 3 or 4 output nodes, but there is no
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* naming convention to indicate which node outputs the bounding box, which
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* node outputs the label, etc. So, the `onnxobjectdetector` element has
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* properties to map each node's functionality to its respective node index in
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* the specified model. Image resolution also need to be adapted to the model.
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* The videoscale in the pipeline below will scale the image, using padding if
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* required, to 640x383 resolution required by the model.)
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*
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* model.onnx can be found here:
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* https://github.com/zoq/onnx-runtime-examples/raw/main/data/models/model.onnx
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*
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* ```
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* GST_DEBUG=objectdetector:5 gst-launch-1.0 multifilesrc \
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* location=000000088462.jpg caps=image/jpeg,framerate=\(fraction\)30/1 ! jpegdec ! \
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* videoconvert ! \
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* videoscale ! \
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* 'video/x-raw,width=640,height=383' ! \
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* onnxobjectdetector ! \
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* box-node-index=0 \
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* class-node-index=1 \
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* score-node-index=2 \
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* detection-node-index=3 \
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* execution-provider=cpu \
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* model-file=model.onnx \
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* label-file=COCO_classes.txt ! \
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* videoconvert ! \
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* autovideosink
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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 "gstonnxobjectdetector.h"
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#include "gstonnxclient.h"
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#include <gst/gst.h>
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#include <gst/video/video.h>
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#include <gst/video/gstvideometa.h>
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#include <stdlib.h>
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#include <string.h>
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#include <glib.h>
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GST_DEBUG_CATEGORY_STATIC (onnx_object_detector_debug);
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#define GST_CAT_DEFAULT onnx_object_detector_debug
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#define GST_ONNX_MEMBER( self ) ((GstOnnxNamespace::GstOnnxClient *) (self->onnx_ptr))
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GST_ELEMENT_REGISTER_DEFINE (onnx_object_detector, "onnxobjectdetector",
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GST_RANK_PRIMARY, GST_TYPE_ONNX_OBJECT_DETECTOR);
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/* GstOnnxObjectDetector properties */
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enum
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{
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PROP_0,
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PROP_MODEL_FILE,
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PROP_LABEL_FILE,
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PROP_SCORE_THRESHOLD,
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PROP_DETECTION_NODE_INDEX,
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PROP_BOUNDING_BOX_NODE_INDEX,
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PROP_SCORE_NODE_INDEX,
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PROP_CLASS_NODE_INDEX,
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PROP_INPUT_IMAGE_FORMAT,
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PROP_OPTIMIZATION_LEVEL,
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PROP_EXECUTION_PROVIDER
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};
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#define GST_ONNX_OBJECT_DETECTOR_DEFAULT_EXECUTION_PROVIDER GST_ONNX_EXECUTION_PROVIDER_CPU
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#define GST_ONNX_OBJECT_DETECTOR_DEFAULT_OPTIMIZATION_LEVEL GST_ONNX_OPTIMIZATION_LEVEL_ENABLE_EXTENDED
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#define GST_ONNX_OBJECT_DETECTOR_DEFAULT_SCORE_THRESHOLD 0.3f /* 0 to 1 */
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static GstStaticPadTemplate gst_onnx_object_detector_src_template =
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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,RGBA,BGR,BGRA }"))
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);
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static GstStaticPadTemplate gst_onnx_object_detector_sink_template =
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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,RGBA,BGR,BGRA }"))
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);
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static void gst_onnx_object_detector_set_property (GObject * object,
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guint prop_id, const GValue * value, GParamSpec * pspec);
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static void gst_onnx_object_detector_get_property (GObject * object,
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guint prop_id, GValue * value, GParamSpec * pspec);
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static void gst_onnx_object_detector_finalize (GObject * object);
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static GstFlowReturn gst_onnx_object_detector_transform_ip (GstBaseTransform *
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trans, GstBuffer * buf);
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static gboolean gst_onnx_object_detector_process (GstBaseTransform * trans,
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GstBuffer * buf);
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static gboolean gst_onnx_object_detector_create_session (GstBaseTransform * trans);
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static GstCaps *gst_onnx_object_detector_transform_caps (GstBaseTransform *
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trans, GstPadDirection direction, GstCaps * caps, GstCaps * filter_caps);
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G_DEFINE_TYPE (GstOnnxObjectDetector, gst_onnx_object_detector,
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GST_TYPE_BASE_TRANSFORM);
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static void
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gst_onnx_object_detector_class_init (GstOnnxObjectDetectorClass * klass)
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{
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GObjectClass *gobject_class = (GObjectClass *) klass;
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GstElementClass *element_class = (GstElementClass *) klass;
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GstBaseTransformClass *basetransform_class = (GstBaseTransformClass *) klass;
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GST_DEBUG_CATEGORY_INIT (onnx_object_detector_debug, "onnxobjectdetector",
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0, "onnx_objectdetector");
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gobject_class->set_property = gst_onnx_object_detector_set_property;
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gobject_class->get_property = gst_onnx_object_detector_get_property;
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gobject_class->finalize = gst_onnx_object_detector_finalize;
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/**
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* GstOnnxObjectDetector:model-file
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*
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* ONNX model file
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass), PROP_MODEL_FILE,
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g_param_spec_string ("model-file",
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"ONNX model file", "ONNX model file", NULL, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:label-file
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*
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* Label file for ONNX model
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass), PROP_LABEL_FILE,
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g_param_spec_string ("label-file",
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"Label file", "Label file associated with model", NULL, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:detection-node-index
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*
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* Index of model detection node
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass),
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PROP_DETECTION_NODE_INDEX,
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g_param_spec_int ("detection-node-index",
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"Detection node index",
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"Index of neural network output node corresponding to number of detected objects",
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
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GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:bounding-box-node-index
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*
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* Index of model bounding box node
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass),
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PROP_BOUNDING_BOX_NODE_INDEX,
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g_param_spec_int ("box-node-index",
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"Bounding box node index",
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"Index of neural network output node corresponding to bounding box",
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
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GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:score-node-index
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*
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* Index of model score node
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass),
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PROP_SCORE_NODE_INDEX,
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g_param_spec_int ("score-node-index",
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"Score node index",
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"Index of neural network output node corresponding to score",
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
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GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:class-node-index
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*
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* Index of model class (label) node
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass),
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PROP_CLASS_NODE_INDEX,
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g_param_spec_int ("class-node-index",
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"Class node index",
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"Index of neural network output node corresponding to class (label)",
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
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GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
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GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:score-threshold
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*
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* Threshold for deciding when to remove boxes based on score
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass), PROP_SCORE_THRESHOLD,
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g_param_spec_float ("score-threshold",
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"Score threshold",
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"Threshold for deciding when to remove boxes based on score",
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0.0, 1.0,
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GST_ONNX_OBJECT_DETECTOR_DEFAULT_SCORE_THRESHOLD, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:input-image-format
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*
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* Model input image format
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass),
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PROP_INPUT_IMAGE_FORMAT,
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g_param_spec_enum ("input-image-format",
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"Input image format",
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"Input image format",
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GST_TYPE_ML_MODEL_INPUT_IMAGE_FORMAT,
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GST_ML_MODEL_INPUT_IMAGE_FORMAT_HWC, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:optimization-level
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*
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* ONNX optimization level
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass),
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PROP_OPTIMIZATION_LEVEL,
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g_param_spec_enum ("optimization-level",
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"Optimization level",
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"ONNX optimization level",
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GST_TYPE_ONNX_OPTIMIZATION_LEVEL,
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GST_ONNX_OPTIMIZATION_LEVEL_ENABLE_EXTENDED, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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/**
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* GstOnnxObjectDetector:execution-provider
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*
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* ONNX execution provider
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*
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* Since: 1.20
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*/
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g_object_class_install_property (G_OBJECT_CLASS (klass),
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PROP_EXECUTION_PROVIDER,
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g_param_spec_enum ("execution-provider",
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"Execution provider",
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"ONNX execution provider",
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GST_TYPE_ONNX_EXECUTION_PROVIDER,
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GST_ONNX_EXECUTION_PROVIDER_CPU, (GParamFlags)
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(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
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gst_element_class_set_static_metadata (element_class, "onnxobjectdetector",
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"Filter/Effect/Video",
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"Apply neural network to detect objects in video frames",
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"Aaron Boxer <aaron.boxer@collabora.com>, Marcus Edel <marcus.edel@collabora.com>");
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gst_element_class_add_pad_template (element_class,
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gst_static_pad_template_get (&gst_onnx_object_detector_sink_template));
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gst_element_class_add_pad_template (element_class,
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gst_static_pad_template_get (&gst_onnx_object_detector_src_template));
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basetransform_class->transform_ip =
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GST_DEBUG_FUNCPTR (gst_onnx_object_detector_transform_ip);
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basetransform_class->transform_caps =
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GST_DEBUG_FUNCPTR (gst_onnx_object_detector_transform_caps);
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}
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static void
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gst_onnx_object_detector_init (GstOnnxObjectDetector * self)
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{
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self->onnx_ptr = new GstOnnxNamespace::GstOnnxClient ();
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self->onnx_disabled = false;
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}
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static void
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gst_onnx_object_detector_finalize (GObject * object)
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{
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GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (object);
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g_free (self->model_file);
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delete GST_ONNX_MEMBER (self);
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G_OBJECT_CLASS (gst_onnx_object_detector_parent_class)->finalize (object);
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}
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static void
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gst_onnx_object_detector_set_property (GObject * object, guint prop_id,
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const GValue * value, GParamSpec * pspec)
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{
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GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (object);
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const gchar *filename;
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auto onnxClient = GST_ONNX_MEMBER (self);
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switch (prop_id) {
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case PROP_MODEL_FILE:
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filename = g_value_get_string (value);
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if (filename
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&& g_file_test (filename,
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(GFileTest) (G_FILE_TEST_EXISTS | G_FILE_TEST_IS_REGULAR))) {
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if (self->model_file)
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g_free (self->model_file);
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self->model_file = g_strdup (filename);
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} else {
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GST_WARNING_OBJECT (self, "Model file '%s' not found!", filename);
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gst_base_transform_set_passthrough (GST_BASE_TRANSFORM (self), TRUE);
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}
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break;
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case PROP_LABEL_FILE:
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filename = g_value_get_string (value);
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if (filename
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&& g_file_test (filename,
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(GFileTest) (G_FILE_TEST_EXISTS | G_FILE_TEST_IS_REGULAR))) {
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if (self->label_file)
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g_free (self->label_file);
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self->label_file = g_strdup (filename);
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} else {
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GST_WARNING_OBJECT (self, "Label file '%s' not found!", filename);
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}
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break;
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case PROP_SCORE_THRESHOLD:
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GST_OBJECT_LOCK (self);
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self->score_threshold = g_value_get_float (value);
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GST_OBJECT_UNLOCK (self);
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break;
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case PROP_OPTIMIZATION_LEVEL:
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self->optimization_level =
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(GstOnnxOptimizationLevel) g_value_get_enum (value);
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break;
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case PROP_EXECUTION_PROVIDER:
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self->execution_provider =
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(GstOnnxExecutionProvider) g_value_get_enum (value);
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break;
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case PROP_DETECTION_NODE_INDEX:
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onnxClient->setOutputNodeIndex
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(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_DETECTION,
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g_value_get_int (value));
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break;
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case PROP_BOUNDING_BOX_NODE_INDEX:
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onnxClient->setOutputNodeIndex
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(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_BOUNDING_BOX,
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g_value_get_int (value));
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break;
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break;
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case PROP_SCORE_NODE_INDEX:
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onnxClient->setOutputNodeIndex
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(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_SCORE,
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g_value_get_int (value));
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break;
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break;
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case PROP_CLASS_NODE_INDEX:
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onnxClient->setOutputNodeIndex
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(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_CLASS,
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g_value_get_int (value));
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break;
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case PROP_INPUT_IMAGE_FORMAT:
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onnxClient->setInputImageFormat ((GstMlModelInputImageFormat)
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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_onnx_object_detector_get_property (GObject * object, guint prop_id,
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GValue * value, GParamSpec * pspec)
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{
|
|
GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (object);
|
|
auto onnxClient = GST_ONNX_MEMBER (self);
|
|
|
|
switch (prop_id) {
|
|
case PROP_MODEL_FILE:
|
|
g_value_set_string (value, self->model_file);
|
|
break;
|
|
case PROP_LABEL_FILE:
|
|
g_value_set_string (value, self->label_file);
|
|
break;
|
|
case PROP_SCORE_THRESHOLD:
|
|
GST_OBJECT_LOCK (self);
|
|
g_value_set_float (value, self->score_threshold);
|
|
GST_OBJECT_UNLOCK (self);
|
|
break;
|
|
case PROP_OPTIMIZATION_LEVEL:
|
|
g_value_set_enum (value, self->optimization_level);
|
|
break;
|
|
case PROP_EXECUTION_PROVIDER:
|
|
g_value_set_enum (value, self->execution_provider);
|
|
break;
|
|
case PROP_DETECTION_NODE_INDEX:
|
|
g_value_set_int (value,
|
|
onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_DETECTION));
|
|
break;
|
|
case PROP_BOUNDING_BOX_NODE_INDEX:
|
|
g_value_set_int (value,
|
|
onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_BOUNDING_BOX));
|
|
break;
|
|
break;
|
|
case PROP_SCORE_NODE_INDEX:
|
|
g_value_set_int (value,
|
|
onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_SCORE));
|
|
break;
|
|
break;
|
|
case PROP_CLASS_NODE_INDEX:
|
|
g_value_set_int (value,
|
|
onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_CLASS));
|
|
break;
|
|
case PROP_INPUT_IMAGE_FORMAT:
|
|
g_value_set_enum (value, onnxClient->getInputImageFormat ());
|
|
break;
|
|
default:
|
|
G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec);
|
|
break;
|
|
}
|
|
}
|
|
|
|
static gboolean
|
|
gst_onnx_object_detector_create_session (GstBaseTransform * trans)
|
|
{
|
|
GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (trans);
|
|
auto onnxClient = GST_ONNX_MEMBER (self);
|
|
|
|
GST_OBJECT_LOCK (self);
|
|
if (self->onnx_disabled || onnxClient->hasSession ()) {
|
|
GST_OBJECT_UNLOCK (self);
|
|
|
|
return TRUE;
|
|
}
|
|
if (self->model_file) {
|
|
gboolean ret = GST_ONNX_MEMBER (self)->createSession (self->model_file,
|
|
self->optimization_level,
|
|
self->execution_provider);
|
|
if (!ret) {
|
|
GST_ERROR_OBJECT (self,
|
|
"Unable to create ONNX session. Detection disabled.");
|
|
} else {
|
|
auto outputNames = onnxClient->getOutputNodeNames ();
|
|
|
|
for (size_t i = 0; i < outputNames.size (); ++i)
|
|
GST_INFO_OBJECT (self, "Output node index: %d for node: %s", (gint) i,
|
|
outputNames[i]);
|
|
if (outputNames.size () < 3) {
|
|
GST_ERROR_OBJECT (self,
|
|
"Number of output tensor nodes %d does not match the 3 or 4 nodes "
|
|
"required for an object detection model. Detection is disabled.",
|
|
(gint) outputNames.size ());
|
|
self->onnx_disabled = TRUE;
|
|
}
|
|
// sanity check on output node indices
|
|
if (onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_DETECTION) ==
|
|
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED) {
|
|
GST_ERROR_OBJECT (self,
|
|
"Output detection node index not set. Detection disabled.");
|
|
self->onnx_disabled = TRUE;
|
|
}
|
|
if (onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_BOUNDING_BOX) ==
|
|
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED) {
|
|
GST_ERROR_OBJECT (self,
|
|
"Output bounding box node index not set. Detection disabled.");
|
|
self->onnx_disabled = TRUE;
|
|
}
|
|
if (onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_SCORE) ==
|
|
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED) {
|
|
GST_ERROR_OBJECT (self,
|
|
"Output score node index not set. Detection disabled.");
|
|
self->onnx_disabled = TRUE;
|
|
}
|
|
if (outputNames.size () == 4 && onnxClient->getOutputNodeIndex
|
|
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_CLASS) ==
|
|
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED) {
|
|
GST_ERROR_OBJECT (self,
|
|
"Output class node index not set. Detection disabled.");
|
|
self->onnx_disabled = TRUE;
|
|
}
|
|
// model is not usable, so fail
|
|
if (self->onnx_disabled) {
|
|
GST_ELEMENT_WARNING (self, RESOURCE, FAILED,
|
|
("ONNX model cannot be used for object detection"), (NULL));
|
|
|
|
return FALSE;
|
|
}
|
|
}
|
|
} else {
|
|
self->onnx_disabled = TRUE;
|
|
}
|
|
GST_OBJECT_UNLOCK (self);
|
|
if (self->onnx_disabled){
|
|
gst_base_transform_set_passthrough (GST_BASE_TRANSFORM (self), TRUE);
|
|
}
|
|
|
|
return TRUE;
|
|
}
|
|
|
|
|
|
static GstCaps *
|
|
gst_onnx_object_detector_transform_caps (GstBaseTransform *
|
|
trans, GstPadDirection direction, GstCaps * caps, GstCaps * filter_caps)
|
|
{
|
|
GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (trans);
|
|
auto onnxClient = GST_ONNX_MEMBER (self);
|
|
GstCaps *other_caps;
|
|
guint i;
|
|
|
|
if ( !gst_onnx_object_detector_create_session (trans) )
|
|
return NULL;
|
|
GST_LOG_OBJECT (self, "transforming caps %" GST_PTR_FORMAT, caps);
|
|
|
|
if (gst_base_transform_is_passthrough (trans)
|
|
|| (!onnxClient->isFixedInputImageSize ()))
|
|
return gst_caps_ref (caps);
|
|
|
|
other_caps = gst_caps_new_empty ();
|
|
for (i = 0; i < gst_caps_get_size (caps); ++i) {
|
|
GstStructure *structure, *new_structure;
|
|
|
|
structure = gst_caps_get_structure (caps, i);
|
|
new_structure = gst_structure_copy (structure);
|
|
gst_structure_set (new_structure, "width", G_TYPE_INT,
|
|
onnxClient->getWidth (), "height", G_TYPE_INT,
|
|
onnxClient->getHeight (), NULL);
|
|
GST_LOG_OBJECT (self,
|
|
"transformed structure %2d: %" GST_PTR_FORMAT " => %"
|
|
GST_PTR_FORMAT, i, structure, new_structure);
|
|
gst_caps_append_structure (other_caps, new_structure);
|
|
}
|
|
|
|
if (!gst_caps_is_empty (other_caps) && filter_caps) {
|
|
GstCaps *tmp = gst_caps_intersect_full (other_caps,filter_caps,
|
|
GST_CAPS_INTERSECT_FIRST);
|
|
gst_caps_replace (&other_caps, tmp);
|
|
gst_caps_unref (tmp);
|
|
}
|
|
|
|
return other_caps;
|
|
}
|
|
|
|
|
|
static GstFlowReturn
|
|
gst_onnx_object_detector_transform_ip (GstBaseTransform * trans,
|
|
GstBuffer * buf)
|
|
{
|
|
if (!gst_base_transform_is_passthrough (trans)
|
|
&& !gst_onnx_object_detector_process (trans, buf)){
|
|
GST_ELEMENT_WARNING (trans, STREAM, FAILED,
|
|
("ONNX object detection failed"), (NULL));
|
|
return GST_FLOW_ERROR;
|
|
}
|
|
|
|
return GST_FLOW_OK;
|
|
}
|
|
|
|
static gboolean
|
|
gst_onnx_object_detector_process (GstBaseTransform * trans, GstBuffer * buf)
|
|
{
|
|
GstMapInfo info;
|
|
GstVideoMeta *vmeta = gst_buffer_get_video_meta (buf);
|
|
|
|
if (!vmeta) {
|
|
GST_WARNING_OBJECT (trans, "missing video meta");
|
|
return FALSE;
|
|
}
|
|
if (gst_buffer_map (buf, &info, GST_MAP_READ)) {
|
|
GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (trans);
|
|
auto boxes = GST_ONNX_MEMBER (self)->run (info.data, vmeta,
|
|
self->label_file ? self->label_file : "",
|
|
self->score_threshold);
|
|
for (auto & b:boxes) {
|
|
auto vroi_meta = gst_buffer_add_video_region_of_interest_meta (buf,
|
|
GST_ONNX_OBJECT_DETECTOR_META_NAME,
|
|
b.x0, b.y0,
|
|
b.width,
|
|
b.height);
|
|
if (!vroi_meta) {
|
|
GST_WARNING_OBJECT (trans,
|
|
"Unable to attach GstVideoRegionOfInterestMeta to buffer");
|
|
return FALSE;
|
|
}
|
|
auto s = gst_structure_new (GST_ONNX_OBJECT_DETECTOR_META_PARAM_NAME,
|
|
GST_ONNX_OBJECT_DETECTOR_META_FIELD_LABEL,
|
|
G_TYPE_STRING,
|
|
b.label.c_str (),
|
|
GST_ONNX_OBJECT_DETECTOR_META_FIELD_SCORE,
|
|
G_TYPE_DOUBLE,
|
|
b.score,
|
|
NULL);
|
|
gst_video_region_of_interest_meta_add_param (vroi_meta, s);
|
|
GST_DEBUG_OBJECT (self,
|
|
"Object detected with label : %s, score: %f, bound box: (%f,%f,%f,%f) \n",
|
|
b.label.c_str (), b.score, b.x0, b.y0,
|
|
b.x0 + b.width, b.y0 + b.height);
|
|
}
|
|
gst_buffer_unmap (buf, &info);
|
|
}
|
|
|
|
return TRUE;
|
|
}
|