74 lines
2.0 KiB
C++
74 lines
2.0 KiB
C++
//
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// Created by DefTruth on 2022/3/19.
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//
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#ifndef LITE_AI_TOOLKIT_ORT_CV_FACEBOXESV2_H
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#define LITE_AI_TOOLKIT_ORT_CV_FACEBOXESV2_H
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#include "lite/ort/core/ort_core.h"
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namespace ortcv
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{
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class LITE_EXPORTS FaceBoxesV2 : public BasicOrtHandler
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{
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public:
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explicit FaceBoxesV2(const std::string &_onnx_path, unsigned int _num_threads = 1) :
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BasicOrtHandler(_onnx_path, _num_threads)
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{};
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~FaceBoxesV2() override = default;
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private:
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// nested classes
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struct FaceBoxesAnchorV2
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{
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float cx;
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float cy;
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float s_kx;
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float s_ky;
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};
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private:
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const float mean_vals[3] = {104.f, 117.f, 123.f}; // bgr order
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const float scale_vals[3] = {1.f, 1.f, 1.f};
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const float variance[2] = {0.1f, 0.2f};
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std::vector<int> steps = {32, 64, 128};
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std::vector<std::vector<int>> min_sizes = {
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{32, 64, 128},
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{256},
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{512}
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};
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enum NMS
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{
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HARD = 0, BLEND = 1, OFFSET = 2
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};
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static constexpr const unsigned int max_nms = 30000;
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private:
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Ort::Value transform(const cv::Mat &mat) override; //
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void generate_anchors(const int target_height,
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const int target_width,
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std::vector<FaceBoxesAnchorV2> &anchors);
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void generate_bboxes(std::vector<types::Boxf> &bbox_collection,
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std::vector<Ort::Value> &output_tensors,
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float score_threshold, float img_height,
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float img_width); // rescale & exclude
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void nms(std::vector<types::Boxf> &input, std::vector<types::Boxf> &output,
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float iou_threshold, unsigned int topk, unsigned int nms_type);
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public:
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void detect(const cv::Mat &mat, std::vector<types::Boxf> &detected_boxes,
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float score_threshold = 0.35f, float iou_threshold = 0.45f,
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unsigned int topk = 300, unsigned int nms_type = NMS::HARD);
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};
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}
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#endif //LITE_AI_TOOLKIT_ORT_CV_FACEBOXESV2_H
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