Davide Sapienza
07da54efe9
Signed-off-by: Micaela Verucchi <micaelaverucchi@gmail.com> Signed-off-by: Davide Sapienza <sapienza.dav@gmail.com>
89 lines
2.1 KiB
C++
89 lines
2.1 KiB
C++
#include <iostream>
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#include <signal.h>
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#include <stdlib.h> /* srand, rand */
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#include <unistd.h>
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#include <mutex>
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#include "utils.h"
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#include <opencv2/core/core.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/videoio.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include "CenternetDetection.h"
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bool gRun;
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bool SAVE_RESULT = false;
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void sig_handler(int signo) {
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std::cout<<"request gateway stop\n";
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gRun = false;
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}
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int main(int argc, char *argv[]) {
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std::cout<<"detection\n";
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signal(SIGINT, sig_handler);
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char *net = "resnet101_cnet.rt";
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if(argc > 1)
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net = argv[1];
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char *input = "../demo/yolo_test.mp4";
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if(argc > 2)
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input = argv[2];
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tk::dnn::CenternetDetection cnet;
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cnet.init(net);
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gRun = true;
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cv::VideoCapture cap(input);
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if(!cap.isOpened())
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gRun = false;
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else
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std::cout<<"camera started\n";
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cv::VideoWriter resultVideo;
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if(SAVE_RESULT) {
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int w = cap.get(cv::CAP_PROP_FRAME_WIDTH);
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int h = cap.get(cv::CAP_PROP_FRAME_HEIGHT);
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resultVideo.open("result.mp4", cv::VideoWriter::fourcc('M','P','4','V'), 30, cv::Size(w, h));
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}
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cv::Mat frame;
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cv::Mat dnn_input;
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cv::namedWindow("detection", cv::WINDOW_NORMAL);
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while(gRun) {
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cap >> frame;
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if(!frame.data) {
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break;
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}
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// this will be resized to the net format
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dnn_input = frame.clone();
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// TODO: async infer
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cnet.update(dnn_input);
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// draw dets
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frame = cnet.draw(dnn_input);
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cv::imshow("detection", frame);
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cv::waitKey(1);
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if(SAVE_RESULT)
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resultVideo << frame;
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}
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std::cout<<"detection end\n";
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std::cout<<COL_GREENB<<"\n\nTime stats:\n";
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std::cout<<"Min: "<<*std::min_element(cnet.stats.begin(), cnet.stats.end())<<" ms\n";
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std::cout<<"Max: "<<*std::max_element(cnet.stats.begin(), cnet.stats.end())<<" ms\n";
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double mean = 0; for(int i=0; i<cnet.stats.size(); i++) mean += cnet.stats[i]; mean /= cnet.stats.size();
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std::cout<<"Avg: "<<mean<<" ms\n"<<COL_END;
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return 0;
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}
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