Initial setup for CLion

engines/OpenVINOEngine/include/models/detection_model_retinaface.h

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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 <utils/nms.hpp>
+
+#include "models/detection_model.h"
+
+namespace ov {
+class Model;
+}  // namespace ov
+struct InferenceResult;
+struct ResultBase;
+
+class ModelRetinaFace : public DetectionModel {
+public:
+    static const int LANDMARKS_NUM = 5;
+    static const int INIT_VECTOR_SIZE = 200;
+    /// Loads model and performs required initialization
+    /// @param model_name 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.
+    /// @param boxIOUThreshold - threshold for NMS boxes filtering, varies in [0.0, 1.0] range.
+    /// @param layout - model input layout
+    ModelRetinaFace(const std::string& model_name,
+                    float confidenceThreshold,
+                    bool useAutoResize,
+                    float boxIOUThreshold,
+                    const std::string& layout = "");
+    std::unique_ptr<ResultBase> postprocess(InferenceResult& infResult) override;
+
+protected:
+    struct AnchorCfgLine {
+        int stride;
+        std::vector<int> scales;
+        int baseSize;
+        std::vector<int> ratios;
+    };
+
+    bool shouldDetectMasks;
+    bool shouldDetectLandmarks;
+    const float boxIOUThreshold;
+    const float maskThreshold;
+    float landmarkStd;
+
+    enum OutputType { OUT_BOXES, OUT_SCORES, OUT_LANDMARKS, OUT_MASKSCORES, OUT_MAX };
+
+    std::vector<std::string> separateOutputsNames[OUT_MAX];
+    const std::vector<AnchorCfgLine> anchorCfg;
+    std::map<int, std::vector<Anchor>> anchorsFpn;
+    std::vector<std::vector<Anchor>> anchors;
+
+    void generateAnchorsFpn();
+    void prepareInputsOutputs(std::shared_ptr<ov::Model>& model) override;
+};