detection_model_yolov3_onnx.h

/*
// Copyright (C) 2022-2024 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
*/
 
#pragma once
 
#include <string>
#include <vector>
 
#include <openvino/openvino.hpp>
 
#include "models/detection_model.h"
 
class ModelYoloV3ONNX: public DetectionModel {
public:
    ModelYoloV3ONNX(const std::string& modelFileName,
                    float confidenceThreshold,
                    const std::vector<std::string>& labels = std::vector<std::string>(),
                    const std::string& layout = "");
 
    std::unique_ptr<ResultBase> postprocess(InferenceResult& infResult) override;
    std::shared_ptr<InternalModelData> preprocess(const InputData& inputData, ov::InferRequest& request) override;
 
protected:
    void prepareInputsOutputs(std::shared_ptr<ov::Model>& model) override;
 
    std::string boxesOutputName;
    std::string scoresOutputName;
    std::string indicesOutputName;
    static const int numberOfClasses = 80;
};