Initial setup for CLion

engines/OpenVINOEngine/include/models/detection_model_ssd.h

@@ -0,0 +1,73 @@
+/*
+// 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 <stddef.h>
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "models/detection_model.h"
+
+namespace ov {
+class InferRequest;
+class Model;
+}  // namespace ov
+struct InferenceResult;
+struct InputData;
+struct InternalModelData;
+struct ResultBase;
+
+class ModelSSD : public DetectionModel {
+public:
+    ModelSSD();
+    /// Constructor
+    /// @param modelFileName name of model to load
+    /// @param confidenceThreshold - threshold to eliminate low-confidence detections.
+    /// Any detected object with confidence lower than this threshold will be ignored.
+    /// @param useAutoResize - if true, image will be resized by openvino.
+    /// Otherwise, image will be preprocessed and resized using OpenCV routines.
+    /// @param labels - array of labels for every class. If this array is empty or contains less elements
+    /// than actual classes number, default "Label #N" will be shown for missing items.
+    /// @param layout - model input layout
+    ModelSSD(const std::string& modelFileName,
+             float confidenceThreshold,
+             bool useAutoResize,
+             const std::vector<std::string>& labels = std::vector<std::string>(),
+             const std::string& layout = "");
+    void Initialise(const std::string& modelFileName,
+        float _confidenceThreshold,
+        bool useAutoResize,
+        const std::vector<std::string>& _labels = std::vector<std::string>(),
+        const std::string& layout = "") 
+    {
+        ImageModel::Initalise(modelFileName, useAutoResize, layout),
+            confidenceThreshold = confidenceThreshold;
+            labels = _labels; 
+    }
+    std::shared_ptr<InternalModelData> preprocess(const InputData& inputData, ov::InferRequest& request) override;
+    std::unique_ptr<ResultBase> postprocess(InferenceResult& infResult) override;
+
+protected:
+    std::unique_ptr<ResultBase> postprocessSingleOutput(InferenceResult& infResult);
+    std::unique_ptr<ResultBase> postprocessMultipleOutputs(InferenceResult& infResult);
+    void prepareInputsOutputs(std::shared_ptr<ov::Model>& model) override;
+    void prepareSingleOutput(std::shared_ptr<ov::Model>& model);
+    void prepareMultipleOutputs(std::shared_ptr<ov::Model>& model);
+    size_t objectSize = 0;
+    size_t detectionsNumId = 0;
+};