tnn_ultraface.h
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//
// Created by DefTruth on 2021/11/20.
//
#ifndef LITE_AI_TOOLKIT_TNN_CV_TNN_ULTRAFACE_H
#define LITE_AI_TOOLKIT_TNN_CV_TNN_ULTRAFACE_H
#include "lite/tnn/core/tnn_core.h"
namespace tnncv
{
class LITE_EXPORTS TNNUltraFace : public BasicTNNHandler
{
public:
explicit TNNUltraFace(const std::string &_proto_path,
const std::string &_model_path,
unsigned int _num_threads = 1); //
~TNNUltraFace() override = default;
private:
// In TNN: x*scale + bias
std::vector<float> scale_vals = {1.0f / 128.0f, 1.0f / 128.0f, 1.0f / 128.0f};
std::vector<float> bias_vals = {
-127.0f * (1.0f / 128.0f),
-127.0f * (1.0f / 128.0f),
-127.0f * (1.0f / 128.0f)
}; // RGB
enum NMS
{
HARD = 0, BLEND = 1, OFFSET = 2
};
static constexpr const unsigned int max_nms = 30000;
private:
void transform(const cv::Mat &mat) override; //
void generate_bboxes(std::vector<types::Boxf> &bbox_collection,
std::shared_ptr<tnn::Instance> &_instance,
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_TNN_CV_TNN_ULTRAFACE_H