//
// Created by DefTruth on 2021/11/27.
//

#ifndef LITE_AI_TOOLKIT_TNN_CV_TNN_SSRNET_H
#define LITE_AI_TOOLKIT_TNN_CV_TNN_SSRNET_H

#include "lite/tnn/core/tnn_core.h"

namespace tnncv
{
  class LITE_EXPORTS TNNSSRNet : public BasicTNNHandler
  {
  public:
    explicit TNNSSRNet(const std::string &_proto_path,
                       const std::string &_model_path,
                       unsigned int _num_threads = 1); //
    ~TNNSSRNet() override = default;

  private:
    // In TNN: x*scale + bias
    std::vector<float> scale_vals = {(1.0f / 0.229f) * (1.0f / 255.0f),
                                     (1.0f / 0.224f) * (1.0f / 255.0f),
                                     (1.0f / 0.225f) * (1.0f / 255.0f)};
    std::vector<float> bias_vals = {-0.485f * (1.0f / 0.229f),
                                    -0.456f * (1.0f / 0.229f),
                                    -0.406f * (1.0f / 0.229f)};
  private:
    void transform(const cv::Mat &mat) override; //

  public:
    void detect(const cv::Mat &mat, types::Age &age);
  };
}

#endif //LITE_AI_TOOLKIT_TNN_CV_TNN_SSRNET_H