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https://gitlab.freedesktop.org/gstreamer/gstreamer.git
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1ff585233a
This element refactors functionality from gstonnxinference element, namely separating out the ONNX inference from the subsequent analysis. The new element runs an ONNX model on each video frame, and then attaches a TensorMeta meta with the output tensor data. This tensor data will then be consumed by downstream elements such as gstobjectdetector. At the moment, a provisional TensorMeta is used just in the ONNX plugin, but in future this will upgraded to a GStreamer API for other plugins to consume. Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/4916>
82 lines
2.6 KiB
C++
82 lines
2.6 KiB
C++
/*
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* GStreamer gstreamer-objectdetectorutils
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* Copyright (C) 2023 Collabora Ltd
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*
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* gstobjectdetectorutils.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_OBJECT_DETECTOR_UTILS_H__
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#define __GST_OBJECT_DETECTOR_UTILS_H__
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#include <gst/gst.h>
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#include <string>
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#include <vector>
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#include "gstml.h"
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#include "tensor/gsttensormeta.h"
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/* Object detection tensor id strings */
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#define GST_MODEL_OBJECT_DETECTOR_BOXES "Gst.Model.ObjectDetector.Boxes"
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#define GST_MODEL_OBJECT_DETECTOR_SCORES "Gst.Model.ObjectDetector.Scores"
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#define GST_MODEL_OBJECT_DETECTOR_NUM_DETECTIONS "Gst.Model.ObjectDetector.NumDetections"
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#define GST_MODEL_OBJECT_DETECTOR_CLASSES "Gst.Model.ObjectDetector.Classes"
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/**
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* GstMlBoundingBox:
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*
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* @label label
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* @score detection confidence
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* @x0 top left hand x coordinate
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* @y0 top left hand y coordinate
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* @width width
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* @height height
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*
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* Since: 1.20
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*/
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struct GstMlBoundingBox {
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GstMlBoundingBox(std::string lbl, float score, float _x0, float _y0,
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float _width, float _height);
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GstMlBoundingBox();
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std::string label;
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float score;
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float x0;
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float y0;
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float width;
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float height;
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};
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namespace GstObjectDetectorUtils {
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const int GstObjectDetectorMaxNodes = 4;
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class GstObjectDetectorUtils {
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public:
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GstObjectDetectorUtils(void);
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~GstObjectDetectorUtils(void) = default;
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std::vector < GstMlBoundingBox > run(int32_t w, int32_t h,
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GstTensorMeta *tmeta,
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std::string labelPath,
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float scoreThreshold);
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private:
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template < typename T > std::vector < GstMlBoundingBox >
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doRun(int32_t w, int32_t h,
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GstTensorMeta *tmeta, std::string labelPath,
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float scoreThreshold);
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std::vector < std::string > ReadLabels(const std::string & labelsFile);
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};
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}
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#endif /* __GST_OBJECT_DETECTOR_UTILS_H__ */
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