// // Created by DefTruth on 2021/9/14. // #ifndef LITE_AI_ORT_CV_YOLOP_H #define LITE_AI_ORT_CV_YOLOP_H #include "lite/ort/core/ort_core.h" namespace ortcv { class LITE_EXPORTS YOLOP : public BasicOrtHandler { public: explicit YOLOP(const std::string &_onnx_path, unsigned int _num_threads = 1) : BasicOrtHandler(_onnx_path, _num_threads) {}; ~YOLOP() override = default; private: // nested classes typedef struct { float r; int dw; int dh; int new_unpad_w; int new_unpad_h; bool flag; } YOLOPScaleParams; private: const float mean_vals[3] = {255.f * 0.485f, 255.f * 0.456, 255.f * 0.406f}; const float scale_vals[3] = {1 / (255.f * 0.229f), 1 / (255.f * 0.224f), 1 / (255.f * 0.225f)}; enum NMS { HARD = 0, BLEND = 1, OFFSET = 2 }; static constexpr const unsigned int max_nms = 30000; private: Ort::Value transform(const cv::Mat &mat_rs) override; // without resize void resize_unscale(const cv::Mat &mat, cv::Mat &mat_rs, int target_height, int target_width, YOLOPScaleParams &scale_params); void generate_bboxes_da_ll(const YOLOPScaleParams &scale_params, std::vector &output_tensors, std::vector &bbox_collection, types::SegmentContent &da_seg_content, types::SegmentContent &ll_seg_content, float score_threshold, float img_height, float img_width); // det,da_seg,ll_seg void nms(std::vector &input, std::vector &output, float iou_threshold, unsigned int topk, unsigned int nms_type); public: void detect(const cv::Mat &mat, std::vector &detected_boxes, types::SegmentContent &da_seg_content, types::SegmentContent &ll_seg_content, 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_YOLOP_H