Initial setup for CLion

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2026-03-28 16:54:11 +11:00
parent 239cc02591
commit 7b4134133c
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/*
// Copyright (C) 2020-2024 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 <map>
#include <memory>
#include <string>
#include <vector>
#include <openvino/openvino.hpp>
#include <utils/args_helper.hpp>
#include <utils/config_factory.h>
#include <utils/ocv_common.hpp>
struct InferenceResult;
struct InputData;
struct InternalModelData;
struct ResultBase;
class ModelBase {
public:
ModelBase() {};
ModelBase(const std::string& modelFileName, const std::string& layout = "")
: modelFileName(modelFileName),
inputsLayouts(parseLayoutString(layout)) {}
virtual ~ModelBase() {}
virtual std::shared_ptr<InternalModelData> preprocess(const InputData& inputData, ov::InferRequest& request) = 0;
// Virtual method to be overridden in derived classes
virtual void updateImageSize(const cv::Size& inputImgSize) {
// Optionally leave empty or add any base logic here
}
virtual ov::CompiledModel compileModel(const ModelConfig& config, ov::Core& core);
virtual void onLoadCompleted(const std::vector<ov::InferRequest>& requests) {}
virtual std::unique_ptr<ResultBase> postprocess(InferenceResult& infResult) = 0;
void Initilise(const std::string& _modelFileName, const std::string& _layout = "") {
modelFileName = _modelFileName;
inputsLayouts = parseLayoutString(_layout);
}
const std::vector<std::string>& getOutputsNames() const {
return outputsNames;
}
const std::vector<std::string>& getInputsNames() const {
return inputsNames;
}
std::string getModelFileName() {
return modelFileName;
}
void setInputsPreprocessing(bool reverseInputChannels,
const std::string& meanValues,
const std::string& scaleValues) {
this->inputTransform = InputTransform(reverseInputChannels, meanValues, scaleValues);
}
protected:
virtual void prepareInputsOutputs(std::shared_ptr<ov::Model>& model) = 0;
virtual void setBatch(std::shared_ptr<ov::Model>& model);
std::shared_ptr<ov::Model> prepareModel(ov::Core& core);
InputTransform inputTransform = InputTransform();
std::vector<std::string> inputsNames;
std::vector<std::string> outputsNames;
ov::CompiledModel compiledModel;
std::string modelFileName;
ModelConfig config = {};
std::map<std::string, ov::Layout> inputsLayouts;
ov::Layout getInputLayout(const ov::Output<ov::Node>& input);
};