-Modified Dockerfile.base to cudagl
-Changed demo to take in input from demoConfig.yaml file -Readme changes for demo.md
This commit is contained in:
+55
-57
@@ -18,64 +18,57 @@ void sig_handler(int signo) {
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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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#ifdef __linux__
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std::string config_file = "../demo/demoConfig.yaml";
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#elif _WIN32
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std::string config_file = "..\\..\\..\\demo\\demoConfig.yaml";
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#endif
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std::string net = "yolo4tiny_fp32.rt";
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#ifdef __linux__
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std::string cfgPath = "../tests/darknet/cfg/yolo4tiny.cfg";
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#elif _WIN32
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std::string cfgPath = "..\\tests\\darknet\\cfg\\yolo4tiny.cfg";
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#endif
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#ifdef __linux__
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std::string namePath = "../tests/darknet/names/coco.names";
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#elif _WIN32
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std::string namePath = "..\\tests\\darknet\\names\\coco.names";
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#endif
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if(argc > 1)
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net = argv[1];
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#ifdef __linux__
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std::string input = "../demo/yolo_test.mp4";
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#elif _WIN32
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std::string input = "..\\demo\\yolo_test.mp4";
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#endif
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char ntype = 'y';
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if(argc > 2)
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input = argv[2];
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if(argc > 3)
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ntype = argv[3][0];
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int n_classes = 80;
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if(argc > 4)
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n_classes = atoi(argv[4]);
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if(argc > 5)
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cfgPath = argv[5];
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if(argc > 6)
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namePath = argv[6];
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int n_batch = 1;
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if(argc > 7)
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n_batch = atoi(argv[7]);
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bool show = true;
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if(argc > 8)
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show = atoi(argv[8]);
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float conf_thresh=0.3;
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if(argc >= 9)
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conf_thresh = atof(argv[9]);
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if(n_batch < 1 || n_batch > 64)
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FatalError("Batch dim not supported");
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if(!show)
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SAVE_RESULT = true;
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if(ntype == 'c' || ntype == 'm'){
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cfgPath = "";
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namePath = "";
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if(argc > 1){
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config_file = argv[1];
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}
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YAML::Node conf = YAMLloadConf(config_file);
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if(!conf){
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FatalError("Problem with config file");
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}
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std::string net = YAMLgetConf<std::string>(conf,"net","yolo4tiny_fp32.rt");
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if(!fileExist(net.c_str())) {
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FatalError("The given network does not exist. Create the rt first.");
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}
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#ifdef __linux__
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std::string input = YAMLgetConf<std::string>(conf, "input", "../demo/yolo_test.mp4");
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std::string cfgPath = YAMLgetConf<std::string>(conf,"cfg_input", "../tests/darknet/cfg/yolo4tiny.cfg");
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std::string namePath = YAMLgetConf<std::string>(conf,"name_input","../tests/darknet/names/coco.names");
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#elif _WIN32
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std::string input = YAMLgetConf(conf, "win_input", "..\\..\\..\\demo\\yolo_test.mp4");
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std::string cfgPath = YAMLgetConf(conf,"cfg_win_input","..\\..\\..\\tests\\darknet\\cfg\\yolo4tiny.cfg");
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std::string namePath = YAMLgetConf(conf,"name_win_input","..\\..\\..\\tests\\darknet\\names\\coco.names");
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#endif
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if(!fileExist(input.c_str()))
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FatalError("The given input video does not exist.");
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char ntype = YAMLgetConf<char>(conf, "ntype", 'y');
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int n_classes = YAMLgetConf<int>(conf, "n_classes", 80);
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int n_batch = YAMLgetConf<int>(conf, "n_batch", 1);
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if(n_batch < 1 || n_batch > 64)
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FatalError("Batch dim not supported");
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float conf_thresh = YAMLgetConf<float>(conf, "conf_thresh", 0.3);
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bool show = YAMLgetConf<bool>(conf, "show", true);
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bool save = YAMLgetConf<bool>(conf, "save", false);
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tk::dnn::Yolo3Detection yolo;
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tk::dnn::CenternetDetection cnet;
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tk::dnn::MobilenetDetection mbnet;
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@@ -98,6 +91,11 @@ int main(int argc, char *argv[]) {
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FatalError("Network type not allowed (3rd parameter)\n");
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}
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if(ntype == 'c' || ntype == 'm'){
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cfgPath = "";
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namePath = "";
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}
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detNN->init(net,cfgPath,namePath,n_classes,n_batch,conf_thresh);
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gRun = true;
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@@ -109,7 +107,7 @@ int main(int argc, char *argv[]) {
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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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if(save) {
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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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@@ -149,7 +147,7 @@ int main(int argc, char *argv[]) {
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cv::waitKey(1);
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}
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}
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if(n_batch == 1 && SAVE_RESULT)
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if(n_batch == 1 && save)
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resultVideo << frame;
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}
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@@ -157,7 +155,7 @@ int main(int argc, char *argv[]) {
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double mean = 0;
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std::cout<<COL_GREENB<<"\n\nTime stats:\n";
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std::cout<<"Min: "<<*std::min_element(detNN->stats.begin(), detNN->stats.end())/n_batch<<" ms\n";
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std::cout<<"Min: "<<*std::min_element(detNN->stats.begin(), detNN->stats.end())/n_batch<<" ms\n";
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std::cout<<"Max: "<<*std::max_element(detNN->stats.begin(), detNN->stats.end())/n_batch<<" ms\n";
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for(int i=0; i<detNN->stats.size(); i++) mean += detNN->stats[i]; mean /= detNN->stats.size();
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std::cout<<"Avg: "<<mean/n_batch<<" ms\t"<<1000/(mean/n_batch)<<" FPS\n"<<COL_END;
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@@ -0,0 +1,22 @@
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# video input
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input : "../demo/yolo_test.mp4"
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win_input : "..\\..\\..\\demo\\yolo_test.mp4"
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#cfg input
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cfg_input : "../tests/darknet/cfg/yolo4tiny.cfg"
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cfg_win_input : "..\\..\\..\\tests\\darknet\\cfg\\yolo4tiny.cfg"
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#name input
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name_input : "../tests/darknet/names/coco.names"
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name_win_input : "..\\..\\..\\tests\\darknet\\names\\coco.names"
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# network config
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net : "yolo4tiny_fp32.rt"
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ntype : 'y'
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n_classes : 80
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n_batch : 1
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conf_thresh : 0.3
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# demo config
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show : true
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save : false
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