88 lines
3.0 KiB
C
88 lines
3.0 KiB
C
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/*
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// Copyright (C) 2020-2024 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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*/
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#pragma once
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#include <map>
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#include <memory>
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#include <string>
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#include <vector>
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#include <openvino/openvino.hpp>
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#include <utils/args_helper.hpp>
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#include <utils/config_factory.h>
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#include <utils/ocv_common.hpp>
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struct InferenceResult;
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struct InputData;
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struct InternalModelData;
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struct ResultBase;
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class ModelBase {
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public:
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ModelBase() {};
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ModelBase(const std::string& modelFileName, const std::string& layout = "")
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: modelFileName(modelFileName),
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inputsLayouts(parseLayoutString(layout)) {}
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virtual ~ModelBase() {}
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virtual std::shared_ptr<InternalModelData> preprocess(const InputData& inputData, ov::InferRequest& request) = 0;
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// Virtual method to be overridden in derived classes
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virtual void updateImageSize(const cv::Size& inputImgSize) {
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// Optionally leave empty or add any base logic here
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}
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virtual ov::CompiledModel compileModel(const ModelConfig& config, ov::Core& core);
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virtual void onLoadCompleted(const std::vector<ov::InferRequest>& requests) {}
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virtual std::unique_ptr<ResultBase> postprocess(InferenceResult& infResult) = 0;
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void Initilise(const std::string& _modelFileName, const std::string& _layout = "") {
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modelFileName = _modelFileName;
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inputsLayouts = parseLayoutString(_layout);
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}
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const std::vector<std::string>& getOutputsNames() const {
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return outputsNames;
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}
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const std::vector<std::string>& getInputsNames() const {
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return inputsNames;
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}
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std::string getModelFileName() {
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return modelFileName;
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}
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void setInputsPreprocessing(bool reverseInputChannels,
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const std::string& meanValues,
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const std::string& scaleValues) {
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this->inputTransform = InputTransform(reverseInputChannels, meanValues, scaleValues);
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}
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protected:
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virtual void prepareInputsOutputs(std::shared_ptr<ov::Model>& model) = 0;
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virtual void setBatch(std::shared_ptr<ov::Model>& model);
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std::shared_ptr<ov::Model> prepareModel(ov::Core& core);
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InputTransform inputTransform = InputTransform();
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std::vector<std::string> inputsNames;
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std::vector<std::string> outputsNames;
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ov::CompiledModel compiledModel;
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std::string modelFileName;
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ModelConfig config = {};
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std::map<std::string, ov::Layout> inputsLayouts;
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ov::Layout getInputLayout(const ov::Output<ov::Node>& input);
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};
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