ncnn_yolo5face.h
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//
// Created by DefTruth on 2022/1/16.
//
#ifndef LITE_AI_TOOLKIT_NCNN_CV_NCNN_YOLO5FACE_H
#define LITE_AI_TOOLKIT_NCNN_CV_NCNN_YOLO5FACE_H
#include "lite/ncnn/core/ncnn_core.h"
namespace ncnncv
{
class LITE_EXPORTS NCNNYOLO5Face
{
private:
ncnn::Net *net = nullptr;
const char *log_id = nullptr;
const char *param_path = nullptr;
const char *bin_path = nullptr;
std::vector<const char *> input_names;
std::vector<const char *> output_names;
std::vector<int> input_indexes;
std::vector<int> output_indexes;
private:
// nested classes
typedef struct
{
int grid0;
int grid1;
int stride;
float width;
float height;
} YOLO5FaceAnchor;
typedef struct
{
float ratio;
int dw;
int dh;
bool flag;
} YOLO5FaceScaleParams;
public:
explicit NCNNYOLO5Face(const std::string &_param_path,
const std::string &_bin_path,
unsigned int _num_threads = 1,
int _input_height = 640,
int _input_width = 640); //
~NCNNYOLO5Face();
private:
const unsigned int num_threads; // initialize at runtime.
// target image size after resize
const int input_height; // 640
const int input_width; // 640
const float mean_vals[3] = {0.f, 0.f, 0.f}; // RGB
const float norm_vals[3] = {1.0 / 255.f, 1.0 / 255.f, 1.0 / 255.f};
static constexpr const unsigned int nms_pre = 1000;
static constexpr const unsigned int max_nms = 30000;
std::vector<unsigned int> strides = {8, 16, 32};
std::unordered_map<unsigned int, std::vector<YOLO5FaceAnchor>> center_anchors;
bool center_anchors_is_update = false;
protected:
NCNNYOLO5Face(const NCNNYOLO5Face &) = delete; //
NCNNYOLO5Face(NCNNYOLO5Face &&) = delete; //
NCNNYOLO5Face &operator=(const NCNNYOLO5Face &) = delete; //
NCNNYOLO5Face &operator=(NCNNYOLO5Face &&) = delete; //
private:
void print_debug_string();
void transform(const cv::Mat &mat_rs, ncnn::Mat &in);
void resize_unscale(const cv::Mat &mat,
cv::Mat &mat_rs,
int target_height,
int target_width,
YOLO5FaceScaleParams &scale_params);
// only generate once
void generate_anchors(unsigned int target_height, unsigned int target_width);
void generate_bboxes_kps_single_stride(const YOLO5FaceScaleParams &scale_params,
ncnn::Mat &det_pred,
unsigned int stride,
float score_threshold,
float img_height,
float img_width,
std::vector<types::BoxfWithLandmarks> &bbox_kps_collection);
void generate_bboxes_kps(const YOLO5FaceScaleParams &scale_params,
std::vector<types::BoxfWithLandmarks> &bbox_kps_collection,
ncnn::Extractor &extractor,
float score_threshold, float img_height,
float img_width);
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 = 0.25f, float iou_threshold = 0.45f,
unsigned int topk = 400);
};
}
#endif //LITE_AI_TOOLKIT_NCNN_CV_NCNN_YOLO5FACE_H