gstreamer/subprojects/gst-plugins-bad/ext/onnx/gstonnxclient.h

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/*
* GStreamer gstreamer-onnxclient
* Copyright (C) 2021 Collabora Ltd
*
* gstonnxclient.h
*
* 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.
*/
#ifndef __GST_ONNX_CLIENT_H__
#define __GST_ONNX_CLIENT_H__
#include <gst/gst.h>
#include <onnxruntime_cxx_api.h>
#include <gst/video/video.h>
#include "gstonnxelement.h"
#include <string>
#include <vector>
namespace GstOnnxNamespace {
enum GstMlOutputNodeFunction {
GST_ML_OUTPUT_NODE_FUNCTION_DETECTION,
GST_ML_OUTPUT_NODE_FUNCTION_BOUNDING_BOX,
GST_ML_OUTPUT_NODE_FUNCTION_SCORE,
GST_ML_OUTPUT_NODE_FUNCTION_CLASS,
GST_ML_OUTPUT_NODE_NUMBER_OF,
};
const gint GST_ML_NODE_INDEX_DISABLED = -1;
struct GstMlOutputNodeInfo {
GstMlOutputNodeInfo(void);
gint index;
ONNXTensorElementDataType type;
};
struct GstMlBoundingBox {
GstMlBoundingBox(std::string lbl,
float score,
float _x0,
float _y0,
float _width,
float _height):label(lbl),
score(score), x0(_x0), y0(_y0), width(_width), height(_height) {
}
GstMlBoundingBox():GstMlBoundingBox("", 0.0f, 0.0f, 0.0f, 0.0f, 0.0f) {
}
std::string label;
float score;
float x0;
float y0;
float width;
float height;
};
class GstOnnxClient {
public:
GstOnnxClient(void);
~GstOnnxClient(void);
bool createSession(std::string modelFile, GstOnnxOptimizationLevel optim,
GstOnnxExecutionProvider provider);
bool hasSession(void);
void setInputImageFormat(GstMlModelInputImageFormat format);
GstMlModelInputImageFormat getInputImageFormat(void);
void setOutputNodeIndex(GstMlOutputNodeFunction nodeType, gint index);
gint getOutputNodeIndex(GstMlOutputNodeFunction nodeType);
void setOutputNodeType(GstMlOutputNodeFunction nodeType,
ONNXTensorElementDataType type);
ONNXTensorElementDataType getOutputNodeType(GstMlOutputNodeFunction type);
std::string getOutputNodeName(GstMlOutputNodeFunction nodeType);
std::vector < GstMlBoundingBox > run(uint8_t * img_data,
GstVideoMeta * vmeta,
std::string labelPath,
float scoreThreshold);
std::vector < GstMlBoundingBox > &getBoundingBoxes(void);
std::vector < const char *>getOutputNodeNames(void);
bool isFixedInputImageSize(void);
int32_t getWidth(void);
int32_t getHeight(void);
private:
void parseDimensions(GstVideoMeta * vmeta);
template < typename T > std::vector < GstMlBoundingBox >
doRun(uint8_t * img_data, GstVideoMeta * vmeta, std::string labelPath,
float scoreThreshold);
std::vector < std::string > ReadLabels(const std::string & labelsFile);
Ort::Env & getEnv(void);
Ort::Session * session;
int32_t width;
int32_t height;
int32_t channels;
uint8_t *dest;
GstOnnxExecutionProvider m_provider;
std::vector < Ort::Value > modelOutput;
std::vector < std::string > labels;
// !! indexed by function
GstMlOutputNodeInfo outputNodeInfo[GST_ML_OUTPUT_NODE_NUMBER_OF];
// !! indexed by array index
size_t outputNodeIndexToFunction[GST_ML_OUTPUT_NODE_NUMBER_OF];
std::vector < const char *> outputNamesRaw;
std::vector < Ort::AllocatedStringPtr > outputNames;
GstMlModelInputImageFormat inputImageFormat;
bool fixedInputImageSize;
};
}
#endif /* __GST_ONNX_CLIENT_H__ */