ae3bd5e6b2
* Move GPU post-processing separately to cuda_postprocess.cu * Update postprocess.cpp * Update postprocess.cu --------- Co-authored-by: wang-xinyu <wangxinyu_es@163.com> Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
23 lines
1011 B
C++
23 lines
1011 B
C++
#pragma once
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#include "types.h"
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#include "NvInfer.h"
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#include <opencv2/opencv.hpp>
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cv::Rect get_rect(cv::Mat& img, float bbox[4]);
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void nms(std::vector<Detection>& res, float *output, float conf_thresh, float nms_thresh = 0.5);
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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);
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void draw_bbox(std::vector<cv::Mat> &img_batch, std::vector<std::vector<Detection>> &res_batch);
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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);
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void process_decode_ptr_host(std::vector<Detection> &res, const float* decode_ptr_host, int bbox_element, cv::Mat& img, int count);
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void cuda_decode(float* predict, int num_bboxes, float confidence_threshold,float* parray,int max_objects, cudaStream_t stream);
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void cuda_nms(float* parray, float nms_threshold, int max_objects, cudaStream_t stream);
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