mnn_ultraface.h
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//
// Created by DefTruth on 2021/11/20.
//
#ifndef LITE_AI_TOOLKIT_MNN_CV_MNN_ULTRAFACE_H
#define LITE_AI_TOOLKIT_MNN_CV_MNN_ULTRAFACE_H
#include "lite/mnn/core/mnn_core.h"
namespace mnncv
{
class LITE_EXPORTS MNNUltraFace : public BasicMNNHandler
{
public:
explicit MNNUltraFace(const std::string &_mnn_path, unsigned int _num_threads = 1); //
~MNNUltraFace() override = default;
private:
const float mean_vals[3] = {127.0f, 127.0f, 127.0f};
const float norm_vals[3] = {1.0f / 128.0f, 1.0f / 128.0f, 1.0f / 128.0f};
enum NMS
{
HARD = 0, BLEND = 1, OFFSET = 2
};
static constexpr const unsigned int max_nms = 30000;
private:
void initialize_pretreat(); //
void transform(const cv::Mat &mat) override; //
void generate_bboxes(std::vector<types::Boxf> &bbox_collection,
const std::map<std::string, MNN::Tensor *> &output_tensors,
float score_threshold, float img_height,
float img_width); // rescale & exclude
void nms(std::vector<types::Boxf> &input, std::vector<types::Boxf> &output,
float iou_threshold, unsigned int topk, unsigned int nms_type);
public:
void detect(const cv::Mat &mat, std::vector<types::Boxf> &detected_boxes,
float score_threshold = 0.7f, float iou_threshold = 0.3f,
unsigned int topk = 300, unsigned int nms_type = 0);
};
}
#endif //LITE_AI_TOOLKIT_MNN_CV_MNN_ULTRAFACE_H