tiny_yolov4_voc.h
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//
// Created by DefTruth on 2021/8/7.
//
#ifndef LITE_AI_ORT_CV_TINY_YOLOV4_VOC_H
#define LITE_AI_ORT_CV_TINY_YOLOV4_VOC_H
#include "lite/ort/core/ort_core.h"
namespace ortcv
{
class LITE_EXPORTS TinyYoloV4VOC : public BasicOrtHandler
{
public:
explicit TinyYoloV4VOC(const std::string &_onnx_path, unsigned int _num_threads = 1) :
BasicOrtHandler(_onnx_path, _num_threads)
{};
~TinyYoloV4VOC() override = default;
private:
static constexpr const float mean_val = 0.f;
static constexpr const float scale_val = 1.0 / 255.f;
const char *class_names[20] = {
"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow",
"diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa",
"train", "tvmonitor"
}; // voc 20 classes
enum NMS
{
HARD = 0, BLEND = 1, OFFSET = 2
};
static constexpr const unsigned int max_nms = 30000;
private:
Ort::Value transform(const cv::Mat &mat) override;
void generate_bboxes(std::vector<types::Boxf> &bbox_collection,
std::vector<Ort::Value> &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 = 0.25f, float iou_threshold = 0.45f,
unsigned int topk = 100, unsigned int nms_type = NMS::OFFSET);
};
}
#endif //LITE_AI_ORT_CV_TINY_YOLOV4_VOC_H