mnn_yolo5face.h
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//
// Created by DefTruth on 2022/1/16.
//
#ifndef LITE_AI_TOOLKIT_MNN_CV_MNN_YOLO5FACE_H
#define LITE_AI_TOOLKIT_MNN_CV_MNN_YOLO5FACE_H
#include "lite/mnn/core/mnn_core.h"
namespace mnncv
{
class LITE_EXPORTS MNNYOLO5Face : public BasicMNNHandler
{
public:
explicit MNNYOLO5Face(const std::string &_mnn_path, unsigned int _num_threads = 1);
~MNNYOLO5Face() override = default;
private:
// nested classes
typedef struct
{
float ratio;
int dw;
int dh;
bool flag;
} YOLO5FaceScaleParams;
private:
const float mean_vals[3] = {0.f, 0.f, 0.f}; // RGB
const float norm_vals[3] = {1.f / 255.f, 1.f / 255.f, 1.f / 255.f};
static constexpr const unsigned int max_nms = 30000;
private:
void transform(const cv::Mat &mat_rs) override; // without resize
void initialize_pretreat();
void resize_unscale(const cv::Mat &mat,
cv::Mat &mat_rs,
int target_height,
int target_width,
YOLO5FaceScaleParams &scale_params);
void generate_bboxes_kps(const YOLO5FaceScaleParams &scale_params,
std::vector<types::BoxfWithLandmarks> &bbox_kps_collection,
const std::map<std::string, MNN::Tensor *> &output_tensors,
float score_threshold, float img_height,
float img_width); // rescale & exclude
void nms_bboxes_kps(std::vector<types::BoxfWithLandmarks> &input,
std::vector<types::BoxfWithLandmarks> &output,
float iou_threshold, unsigned int topk);
public:
void detect(const cv::Mat &mat, std::vector<types::BoxfWithLandmarks> &detected_boxes_kps,
float score_threshold = 0.3f, float iou_threshold = 0.45f,
unsigned int topk = 400);
};
}
#endif //LITE_AI_TOOLKIT_MNN_CV_MNN_YOLO5FACE_H