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gstreamer/subprojects/gst-plugins-bad/ext/onnx/gstonnxobjectdetector.cpp

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/*
* GStreamer gstreamer-onnxobjectdetector
* Copyright (C) 2021 Collabora Ltd.
*
* gstonnxobjectdetector.c
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Library General Public
* License as published by the Free Software Foundation; either
* version 2 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Library General Public License for more details.
*
* You should have received a copy of the GNU Library General Public
* License along with this library; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301, USA.
*/
/**
* SECTION:element-onnxobjectdetector
* @short_description: Detect objects in video frame
*
* This element can apply a generic ONNX object detection model such as YOLO or SSD
* to each video frame.
*
* To install ONNX on your system, recursively clone this repository
* https://github.com/microsoft/onnxruntime.git
*
* and build and install with cmake:
*
* CPU:
*
* cmake -Donnxruntime_BUILD_SHARED_LIB:ON -DBUILD_TESTING:OFF \
* $SRC_DIR/onnxruntime/cmake && make -j8 && sudo make install
*
*
* GPU :
*
* cmake -Donnxruntime_BUILD_SHARED_LIB:ON -DBUILD_TESTING:OFF -Donnxruntime_USE_CUDA:ON \
* -Donnxruntime_CUDA_HOME=$CUDA_PATH -Donnxruntime_CUDNN_HOME=$CUDA_PATH \
* $SRC_DIR/onnxruntime/cmake && make -j8 && sudo make install
*
*
* where :
*
* 1. $SRC_DIR and $BUILD_DIR are local source and build directories
* 2. To run with CUDA, both CUDA and cuDNN libraries must be installed.
* $CUDA_PATH is an environment variable set to the CUDA root path.
* On Linux, it would be /usr/local/cuda-XX.X where XX.X is the installed version of CUDA.
*
*
* ## Example launch command:
*
* (note: an object detection model has 3 or 4 output nodes, but there is no
* naming convention to indicate which node outputs the bounding box, which
* node outputs the label, etc. So, the `onnxobjectdetector` element has
* properties to map each node's functionality to its respective node index in
* the specified model. Image resolution also need to be adapted to the model.
* The videoscale in the pipeline below will scale the image, using padding if
* required, to 640x383 resolution required by the model.)
*
* model.onnx can be found here:
* https://github.com/zoq/onnx-runtime-examples/raw/main/data/models/model.onnx
*
* ```
* GST_DEBUG=objectdetector:5 gst-launch-1.0 multifilesrc \
* location=000000088462.jpg caps=image/jpeg,framerate=\(fraction\)30/1 ! jpegdec ! \
* videoconvert ! \
* videoscale ! \
* 'video/x-raw,width=640,height=383' ! \
* onnxobjectdetector \
* box-node-index=0 \
* class-node-index=1 \
* score-node-index=2 \
* detection-node-index=3 \
* execution-provider=cpu \
* model-file=model.onnx \
* label-file=COCO_classes.txt ! \
* videoconvert ! \
* autovideosink
* ```
*/
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#include "gstonnxobjectdetector.h"
#include "gstonnxclient.h"
#include <gst/gst.h>
#include <gst/video/video.h>
#include <gst/video/gstvideometa.h>
#include <stdlib.h>
#include <string.h>
#include <glib.h>
GST_DEBUG_CATEGORY_STATIC (onnx_object_detector_debug);
#define GST_CAT_DEFAULT onnx_object_detector_debug
#define GST_ONNX_MEMBER( self ) ((GstOnnxNamespace::GstOnnxClient *) (self->onnx_ptr))
GST_ELEMENT_REGISTER_DEFINE (onnx_object_detector, "onnxobjectdetector",
GST_RANK_PRIMARY, GST_TYPE_ONNX_OBJECT_DETECTOR);
/* GstOnnxObjectDetector properties */
enum
{
PROP_0,
PROP_MODEL_FILE,
PROP_LABEL_FILE,
PROP_SCORE_THRESHOLD,
PROP_DETECTION_NODE_INDEX,
PROP_BOUNDING_BOX_NODE_INDEX,
PROP_SCORE_NODE_INDEX,
PROP_CLASS_NODE_INDEX,
PROP_INPUT_IMAGE_FORMAT,
PROP_OPTIMIZATION_LEVEL,
PROP_EXECUTION_PROVIDER
};
#define GST_ONNX_OBJECT_DETECTOR_DEFAULT_EXECUTION_PROVIDER GST_ONNX_EXECUTION_PROVIDER_CPU
#define GST_ONNX_OBJECT_DETECTOR_DEFAULT_OPTIMIZATION_LEVEL GST_ONNX_OPTIMIZATION_LEVEL_ENABLE_EXTENDED
#define GST_ONNX_OBJECT_DETECTOR_DEFAULT_SCORE_THRESHOLD 0.3f /* 0 to 1 */
static GstStaticPadTemplate gst_onnx_object_detector_src_template =
GST_STATIC_PAD_TEMPLATE ("src",
GST_PAD_SRC,
GST_PAD_ALWAYS,
GST_STATIC_CAPS (GST_VIDEO_CAPS_MAKE ("{ RGB,RGBA,BGR,BGRA }"))
);
static GstStaticPadTemplate gst_onnx_object_detector_sink_template =
GST_STATIC_PAD_TEMPLATE ("sink",
GST_PAD_SINK,
GST_PAD_ALWAYS,
GST_STATIC_CAPS (GST_VIDEO_CAPS_MAKE ("{ RGB,RGBA,BGR,BGRA }"))
);
static void gst_onnx_object_detector_set_property (GObject * object,
guint prop_id, const GValue * value, GParamSpec * pspec);
static void gst_onnx_object_detector_get_property (GObject * object,
guint prop_id, GValue * value, GParamSpec * pspec);
static void gst_onnx_object_detector_finalize (GObject * object);
static GstFlowReturn gst_onnx_object_detector_transform_ip (GstBaseTransform *
trans, GstBuffer * buf);
static gboolean gst_onnx_object_detector_process (GstBaseTransform * trans,
GstBuffer * buf);
static gboolean gst_onnx_object_detector_create_session (GstBaseTransform * trans);
static GstCaps *gst_onnx_object_detector_transform_caps (GstBaseTransform *
trans, GstPadDirection direction, GstCaps * caps, GstCaps * filter_caps);
G_DEFINE_TYPE (GstOnnxObjectDetector, gst_onnx_object_detector,
GST_TYPE_BASE_TRANSFORM);
static void
gst_onnx_object_detector_class_init (GstOnnxObjectDetectorClass * klass)
{
GObjectClass *gobject_class = (GObjectClass *) klass;
GstElementClass *element_class = (GstElementClass *) klass;
GstBaseTransformClass *basetransform_class = (GstBaseTransformClass *) klass;
GST_DEBUG_CATEGORY_INIT (onnx_object_detector_debug, "onnxobjectdetector",
0, "onnx_objectdetector");
gobject_class->set_property = gst_onnx_object_detector_set_property;
gobject_class->get_property = gst_onnx_object_detector_get_property;
gobject_class->finalize = gst_onnx_object_detector_finalize;
/**
* GstOnnxObjectDetector:model-file
*
* ONNX model file
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass), PROP_MODEL_FILE,
g_param_spec_string ("model-file",
"ONNX model file", "ONNX model file", NULL, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:label-file
*
* Label file for ONNX model
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass), PROP_LABEL_FILE,
g_param_spec_string ("label-file",
"Label file", "Label file associated with model", NULL, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:detection-node-index
*
* Index of model detection node
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass),
PROP_DETECTION_NODE_INDEX,
g_param_spec_int ("detection-node-index",
"Detection node index",
"Index of neural network output node corresponding to number of detected objects",
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:bounding-box-node-index
*
* Index of model bounding box node
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass),
PROP_BOUNDING_BOX_NODE_INDEX,
g_param_spec_int ("box-node-index",
"Bounding box node index",
"Index of neural network output node corresponding to bounding box",
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:score-node-index
*
* Index of model score node
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass),
PROP_SCORE_NODE_INDEX,
g_param_spec_int ("score-node-index",
"Score node index",
"Index of neural network output node corresponding to score",
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:class-node-index
*
* Index of model class (label) node
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass),
PROP_CLASS_NODE_INDEX,
g_param_spec_int ("class-node-index",
"Class node index",
"Index of neural network output node corresponding to class (label)",
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED,
GstOnnxNamespace::GST_ML_OUTPUT_NODE_NUMBER_OF-1,
GstOnnxNamespace::GST_ML_NODE_INDEX_DISABLED, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:score-threshold
*
* Threshold for deciding when to remove boxes based on score
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass), PROP_SCORE_THRESHOLD,
g_param_spec_float ("score-threshold",
"Score threshold",
"Threshold for deciding when to remove boxes based on score",
0.0, 1.0,
GST_ONNX_OBJECT_DETECTOR_DEFAULT_SCORE_THRESHOLD, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:input-image-format
*
* Model input image format
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass),
PROP_INPUT_IMAGE_FORMAT,
g_param_spec_enum ("input-image-format",
"Input image format",
"Input image format",
GST_TYPE_ML_MODEL_INPUT_IMAGE_FORMAT,
GST_ML_MODEL_INPUT_IMAGE_FORMAT_HWC, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:optimization-level
*
* ONNX optimization level
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass),
PROP_OPTIMIZATION_LEVEL,
g_param_spec_enum ("optimization-level",
"Optimization level",
"ONNX optimization level",
GST_TYPE_ONNX_OPTIMIZATION_LEVEL,
GST_ONNX_OPTIMIZATION_LEVEL_ENABLE_EXTENDED, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
/**
* GstOnnxObjectDetector:execution-provider
*
* ONNX execution provider
*
* Since: 1.20
*/
g_object_class_install_property (G_OBJECT_CLASS (klass),
PROP_EXECUTION_PROVIDER,
g_param_spec_enum ("execution-provider",
"Execution provider",
"ONNX execution provider",
GST_TYPE_ONNX_EXECUTION_PROVIDER,
GST_ONNX_EXECUTION_PROVIDER_CPU, (GParamFlags)
(G_PARAM_READWRITE | G_PARAM_STATIC_STRINGS)));
gst_element_class_set_static_metadata (element_class, "onnxobjectdetector",
"Filter/Effect/Video",
"Apply neural network to detect objects in video frames",
"Aaron Boxer <aaron.boxer@collabora.com>, Marcus Edel <marcus.edel@collabora.com>");
gst_element_class_add_pad_template (element_class,
gst_static_pad_template_get (&gst_onnx_object_detector_sink_template));
gst_element_class_add_pad_template (element_class,
gst_static_pad_template_get (&gst_onnx_object_detector_src_template));
basetransform_class->transform_ip =
GST_DEBUG_FUNCPTR (gst_onnx_object_detector_transform_ip);
basetransform_class->transform_caps =
GST_DEBUG_FUNCPTR (gst_onnx_object_detector_transform_caps);
}
static void
gst_onnx_object_detector_init (GstOnnxObjectDetector * self)
{
self->onnx_ptr = new GstOnnxNamespace::GstOnnxClient ();
self->onnx_disabled = false;
}
static void
gst_onnx_object_detector_finalize (GObject * object)
{
GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (object);
g_free (self->model_file);
delete GST_ONNX_MEMBER (self);
G_OBJECT_CLASS (gst_onnx_object_detector_parent_class)->finalize (object);
}
static void
gst_onnx_object_detector_set_property (GObject * object, guint prop_id,
const GValue * value, GParamSpec * pspec)
{
GstOnnxObjectDetector *self = GST_ONNX_OBJECT_DETECTOR (object);
const gchar *filename;
auto onnxClient = GST_ONNX_MEMBER (self);
switch (prop_id) {
case PROP_MODEL_FILE:
filename = g_value_get_string (value);
if (filename
&& g_file_test (filename,
(GFileTest) (G_FILE_TEST_EXISTS | G_FILE_TEST_IS_REGULAR))) {
if (self->model_file)
g_free (self->model_file);
self->model_file = g_strdup (filename);
} else {
GST_WARNING_OBJECT (self, "Model file '%s' not found!", filename);
gst_base_transform_set_passthrough (GST_BASE_TRANSFORM (self), TRUE);
}
break;
case PROP_LABEL_FILE:
filename = g_value_get_string (value);
if (filename
&& g_file_test (filename,
(GFileTest) (G_FILE_TEST_EXISTS | G_FILE_TEST_IS_REGULAR))) {
if (self->label_file)
g_free (self->label_file);
self->label_file = g_strdup (filename);
} else {
GST_WARNING_OBJECT (self, "Label file '%s' not found!", filename);
}
break;
case PROP_SCORE_THRESHOLD:
GST_OBJECT_LOCK (self);
self->score_threshold = g_value_get_float (value);
GST_OBJECT_UNLOCK (self);
break;
case PROP_OPTIMIZATION_LEVEL:
self->optimization_level =
(GstOnnxOptimizationLevel) g_value_get_enum (value);
break;
case PROP_EXECUTION_PROVIDER:
self->execution_provider =
(GstOnnxExecutionProvider) g_value_get_enum (value);
break;
case PROP_DETECTION_NODE_INDEX:
onnxClient->setOutputNodeIndex
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_DETECTION,
g_value_get_int (value));
break;
case PROP_BOUNDING_BOX_NODE_INDEX:
onnxClient->setOutputNodeIndex
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_BOUNDING_BOX,
g_value_get_int (value));
break;
break;
case PROP_SCORE_NODE_INDEX:
onnxClient->setOutputNodeIndex
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_SCORE,
g_value_get_int (value));
break;
break;
case PROP_CLASS_NODE_INDEX:
onnxClient->setOutputNodeIndex
(GstOnnxNamespace::GST_ML_OUTPUT_NODE_FUNCTION_CLASS,
g_value_get_int (value));
break;
case PROP_INPUT_IMAGE_FORMAT:
onnxClient->setInputImageFormat ((GstMlModelInputImageFormat)
g_value_get_enum (value));
break;
default:
G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec);
break;
}
}
static void
gst_onnx_object_detector_get_property (GObject * object, guint prop_id,
GValue * value, GParamSpec * pspec)
{
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);
std::vector < GstOnnxNamespace::GstMlBoundingBox > boxes;
try {
boxes = GST_ONNX_MEMBER (self)->run (info.data, vmeta,
self->label_file ? self->label_file : "", self->score_threshold);
}
catch (Ort::Exception & ortex) {
GST_ERROR_OBJECT (self, "%s", ortex.what ());
return FALSE;
}
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;
}
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