75 lines
2.4 KiB
C
75 lines
2.4 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 <utils/nms.hpp>
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#include "models/detection_model.h"
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namespace ov {
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class Model;
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} // namespace ov
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struct InferenceResult;
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struct ResultBase;
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class ModelRetinaFace : public DetectionModel {
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public:
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static const int LANDMARKS_NUM = 5;
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static const int INIT_VECTOR_SIZE = 200;
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/// Loads model and performs required initialization
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/// @param model_name name of model to load
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/// @param confidenceThreshold - threshold to eliminate low-confidence detections.
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/// Any detected object with confidence lower than this threshold will be ignored.
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/// @param useAutoResize - if true, image will be resized by openvino.
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/// @param boxIOUThreshold - threshold for NMS boxes filtering, varies in [0.0, 1.0] range.
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/// @param layout - model input layout
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ModelRetinaFace(const std::string& model_name,
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float confidenceThreshold,
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bool useAutoResize,
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float boxIOUThreshold,
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const std::string& layout = "");
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std::unique_ptr<ResultBase> postprocess(InferenceResult& infResult) override;
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protected:
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struct AnchorCfgLine {
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int stride;
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std::vector<int> scales;
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int baseSize;
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std::vector<int> ratios;
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};
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bool shouldDetectMasks;
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bool shouldDetectLandmarks;
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const float boxIOUThreshold;
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const float maskThreshold;
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float landmarkStd;
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enum OutputType { OUT_BOXES, OUT_SCORES, OUT_LANDMARKS, OUT_MASKSCORES, OUT_MAX };
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std::vector<std::string> separateOutputsNames[OUT_MAX];
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const std::vector<AnchorCfgLine> anchorCfg;
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std::map<int, std::vector<Anchor>> anchorsFpn;
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std::vector<std::vector<Anchor>> anchors;
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void generateAnchorsFpn();
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void prepareInputsOutputs(std::shared_ptr<ov::Model>& model) override;
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};
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