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f71eb29497
This MR provides a transform element that leverage ONNX runtime to run AI inference on a broad range of neural network toolkits, running on either CPU or GPU. ONNX supports 16 different providers at the moment, so with ONNX we immediately get support for Nvidia, AMD, Xilinx and many others. For the first release, this plugin adds a gstonnxobjectdetector element to detect objects in video frames. Meta data generated by the model is attached to the video buffer as a custom GstObjectDetectorMeta meta. Part-of: <https://gitlab.freedesktop.org/gstreamer/gst-plugins-bad/-/merge_requests/1997>
94 lines
3.2 KiB
C
94 lines
3.2 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.h
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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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#ifndef __GST_ONNX_OBJECT_DETECTOR_H__
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#define __GST_ONNX_OBJECT_DETECTOR_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/gstvideofilter.h>
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#include "gstonnxelement.h"
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G_BEGIN_DECLS
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#define GST_TYPE_ONNX_OBJECT_DETECTOR (gst_onnx_object_detector_get_type())
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G_DECLARE_FINAL_TYPE (GstOnnxObjectDetector, gst_onnx_object_detector, GST, ONNX_OBJECT_DETECTOR, GstBaseTransform)
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#define GST_ONNX_OBJECT_DETECTOR(obj) (G_TYPE_CHECK_INSTANCE_CAST((obj),GST_TYPE_ONNX_OBJECT_DETECTOR,GstOnnxObjectDetector))
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#define GST_ONNX_OBJECT_DETECTOR_CLASS(klass) (G_TYPE_CHECK_CLASS_CAST((klass), GST_TYPE_ONNX_OBJECT_DETECTOR,GstOnnxObjectDetectorClass))
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#define GST_ONNX_OBJECT_DETECTOR_GET_CLASS(obj) (G_TYPE_INSTANCE_GET_CLASS((obj), GST_TYPE_ONNX_OBJECT_DETECTOR,GstOnnxObjectDetectorClass))
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#define GST_IS_ONNX_OBJECT_DETECTOR(obj) (G_TYPE_CHECK_INSTANCE_TYPE((obj),GST_TYPE_ONNX_OBJECT_DETECTOR))
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#define GST_IS_ONNX_OBJECT_DETECTOR_CLASS(klass) (G_TYPE_CHECK_CLASS_TYPE((klass), GST_TYPE_ONNX_OBJECT_DETECTOR))
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#define GST_ONNX_OBJECT_DETECTOR_META_NAME "onnx-object_detector"
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#define GST_ONNX_OBJECT_DETECTOR_META_PARAM_NAME "extra-data"
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#define GST_ONNX_OBJECT_DETECTOR_META_FIELD_LABEL "label"
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#define GST_ONNX_OBJECT_DETECTOR_META_FIELD_SCORE "score"
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/**
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* GstOnnxObjectDetector:
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*
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* @model_file model file
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* @label_file label file
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* @score_threshold score threshold
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* @confidence_threshold confidence threshold
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* @iou_threhsold iou threshold
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* @optimization_level ONNX optimization level
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* @execution_provider: ONNX execution provider
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* @onnx_ptr opaque pointer to ONNX implementation
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*
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* Since: 1.20
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*/
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struct _GstOnnxObjectDetector
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{
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GstBaseTransform basetransform;
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gchar *model_file;
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gchar *label_file;
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gfloat score_threshold;
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gfloat confidence_threshold;
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gfloat iou_threshold;
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GstOnnxOptimizationLevel optimization_level;
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GstOnnxExecutionProvider execution_provider;
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gpointer onnx_ptr;
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gboolean onnx_disabled;
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void (*process) (GstOnnxObjectDetector * onnx_object_detector,
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GstVideoFrame * inframe, GstVideoFrame * outframe);
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};
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/**
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* GstOnnxObjectDetectorClass:
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*
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* @parent_class base transform base class
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*
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* Since: 1.20
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*/
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struct _GstOnnxObjectDetectorClass
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{
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GstBaseTransformClass parent_class;
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};
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GST_ELEMENT_REGISTER_DECLARE (onnx_object_detector)
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G_END_DECLS
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#endif /* __GST_ONNX_OBJECT_DETECTOR_H__ */
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