duan8/yolov8/include/postprocess.h
Rex 9a53b7f226
Yolov8 seg (#1381)
* v8_seg

* fix code style

* fix code style

* [优化代码风格]

* readme中增加yolov8_seg分割的使用

* 更新readme

* 更新readme

* [fix python infer bug]

* Update README.md

* Update README.md

---------

Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
2023-10-17 20:59:21 +08:00

24 lines
1.1 KiB
C++

#pragma once
#include "types.h"
#include "NvInfer.h"
#include <opencv2/opencv.hpp>
cv::Rect get_rect(cv::Mat& img, float bbox[4]);
void nms(std::vector<Detection>& res, float *output, float conf_thresh, float nms_thresh = 0.5);
void batch_nms(std::vector<std::vector<Detection>>& batch_res, float *output, int batch_size, int output_size, float conf_thresh, float nms_thresh = 0.5);
void draw_bbox(std::vector<cv::Mat> &img_batch, std::vector<std::vector<Detection>> &res_batch);
void batch_process(std::vector<std::vector<Detection>> &res_batch, const float* decode_ptr_host, int batch_size, int bbox_element, const std::vector<cv::Mat>& img_batch);
void process_decode_ptr_host(std::vector<Detection> &res, const float* decode_ptr_host, int bbox_element, cv::Mat& img, int count);
void cuda_decode(float* predict, int num_bboxes, float confidence_threshold,float* parray,int max_objects, cudaStream_t stream);
void cuda_nms(float* parray, float nms_threshold, int max_objects, cudaStream_t stream);
void draw_mask_bbox(cv::Mat& img, std::vector<Detection>& dets, std::vector<cv::Mat>& masks, std::unordered_map<int, std::string>& labels_map);