mnn_yolox_v0.1.1.h

//
// Created by DefTruth on 2021/11/6.
//

#ifndef LITE_AI_TOOLKIT_MNN_CV_MNN_YOLOX_V0_1_1_H
#define LITE_AI_TOOLKIT_MNN_CV_MNN_YOLOX_V0_1_1_H

#include "lite/mnn/core/mnn_core.h"

namespace mnncv
{
  class LITE_EXPORTS MNNYoloX_V_0_1_1 : public BasicMNNHandler
  {
  public:
    explicit MNNYoloX_V_0_1_1(const std::string &_mnn_path, unsigned int _num_threads = 1); //
    ~MNNYoloX_V_0_1_1() override = default;

  private:
    // nested classes
    typedef struct GridAndStride
    {
      int grid0;
      int grid1;
      int stride;
    } YoloXAnchor;

    typedef struct
    {
      float r;
      int dw;
      int dh;
      int new_unpad_w;
      int new_unpad_h;
      bool flag;
    } YoloXScaleParams;

  private:
    const float mean_vals[3] = {0.f, 0.f, 0.f};
    const float norm_vals[3] = {1.f, 1.f, 1.f};

    const char *class_names[80] = {
        "person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light",
        "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow",
        "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee",
        "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
        "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
        "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch",
        "potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard",
        "cell phone", "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase",
        "scissors", "teddy bear", "hair drier", "toothbrush"
    };
    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_rs) override; //

    void resize_unscale(const cv::Mat &mat,
                        cv::Mat &mat_rs,
                        int target_height,
                        int target_width,
                        YoloXScaleParams &scale_params);

    void generate_anchors(const int target_height,
                          const int target_width,
                          std::vector<int> &strides,
                          std::vector<YoloXAnchor> &anchors);

    void generate_bboxes(const YoloXScaleParams &scale_params,
                         std::vector<types::Boxf> &bbox_collection,
                         const std::map<std::string, MNN::Tensor *> &output_tensors,
                         float score_threshold, int img_height,
                         int 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 = 0.25f, float iou_threshold = 0.45f,
                unsigned int topk = 100, unsigned int nms_type = NMS::OFFSET);

  };
}

#endif //LITE_AI_TOOLKIT_MNN_CV_MNN_YOLOX_V0_1_1_H