491 lines
20 KiB
C++
491 lines
20 KiB
C++
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#include "ANSODTraininingEngine.h"
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#include "ANSYOLOTrainingEngine.h"
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#include "ANSYOLOCLTrainingEngine.h"
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#include "ANSYOLOSEGTrainingEngine.h"
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#include "ANSTrainingEngine.h"
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#include <fstream>
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#include <sstream>
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#include <string>
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std::string readFileContent(const std::string& filePath) {
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std::ifstream fileStream(filePath);
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if (fileStream.is_open()) {
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std::string content((std::istreambuf_iterator<char>(fileStream)),
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std::istreambuf_iterator<char>());
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return content;
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}
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}
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int TestANSODTRE() {// For Older ODHUB version
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ANSCENTER::ANSODTRE ansEngine;
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std::string projectDirectory = "C:\\ProgramData\\Sh7O7nUe7vJ";
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std::string engineFolderDir = "C:\\ProgramData\\ANSCENTER\\Shared";
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std::string modelTemplateDir = "C:\\ProgramData\\ANSCENTER\\Shared";
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bool initResult = ansEngine.Init("", projectDirectory, engineFolderDir, modelTemplateDir, "",true);
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std::cout << "Init Result" << initResult << std::endl;
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std::vector<std::string> projects = ansEngine.GetProjects();
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if (projects.size() > 0) {
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for (int i = 0; i < projects.size(); i++) {
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std::cout << "Project Name:" << projects[i] << std::endl;
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std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
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if (experiments.size() > 0) {
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for (int i = 0; i < experiments.size(); i++) {
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std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
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}
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}
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}
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}
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projects = ansEngine.GetProjects();
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if (projects.size() > 0) {
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for (int i = 0; i < projects.size(); i++) {
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std::cout << "Project Name:" << projects[i] << std::endl;
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std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
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if (experiments.size() > 0) {
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for (int i = 0; i < experiments.size(); i++) {
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std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
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}
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}
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}
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}
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// Set the working directory
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bool setWorkingDirectory = ansEngine.SetWorkingDirectory("C:\\Programs\\AITraining\\LPDetection");
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if (!setWorkingDirectory)std::cout << "Working Directory Not Set" << std::endl;
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//1. Create a project
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bool createdProject = ansEngine.CreateProject("LicensePlate");
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if (!createdProject)std::cout << "Project Not Created" << std::endl;
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//2. Browse to the working directory
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projectDirectory = ansEngine.GetProjectDirectory();
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std::cout << "Project Directory:" << projectDirectory << std::endl;
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bool dataUploaded = ansEngine.UploadTrainingData("LicensePlate");
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if (!dataUploaded)std::cout << "Cannot upload data" << std::endl;
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//3. Create a training engine
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bool createEngine = ansEngine.CreateTrainingEngine("LicensePlate", 1, 0, 2000, 32, 0.001);
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if (!createEngine)std::cout << "Cannot create engine" << std::endl;
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std::string projectExperimentStatus = ansEngine.GetProjectExperimentStatus("LicensePlate", 1);
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std::cout << projectExperimentStatus << std::endl;
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std::string trainingCommand = ansEngine.GenerateTrainingCommand("LicensePlate", 1, 0);
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std::cout << "Training Command:" << trainingCommand << std::endl;
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//4. Evaluate the model
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std::string evaluateModelCommand = ansEngine.EvaluateModel("LicensePlate", 1);
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std::cout << "Evaluation Result:" << evaluateModelCommand << std::endl;
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//5. Download the model
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std::string saveModelPath = "C:\\Programs\\AITraining\\LPDetection\\Models";
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ansEngine.DownloadModel("LicensePlate", 1, saveModelPath);
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return 0;
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}
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int TestANSYLTRE() {// For New Yolo version
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ANSCENTER::ANYLTRE ansEngine;
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std::string projectDirectory = "";
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std::string engineFolderDir = "";
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std::string modelTemplateDir = "";
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bool initResult = ansEngine.Init("", projectDirectory, engineFolderDir, modelTemplateDir, "",true);
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std::cout << "Init Result" << initResult << std::endl;
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std::vector<std::string> projects = ansEngine.GetProjects();
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if (projects.size() > 0) {
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for (int i = 0; i < projects.size(); i++) {
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std::cout << "Project Name:" << projects[i] << std::endl;
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std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
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if (experiments.size() > 0) {
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for (int i = 0; i < experiments.size(); i++) {
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std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
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}
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}
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}
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}
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projects = ansEngine.GetProjects();
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if (projects.size() > 0) {
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for (int i = 0; i < projects.size(); i++) {
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std::cout << "Project Name:" << projects[i] << std::endl;
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std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
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if (experiments.size() > 0) {
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for (int i = 0; i < experiments.size(); i++) {
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std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
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}
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}
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}
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}
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//// Set the working directory
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bool setWorkingDirectory = ansEngine.SetWorkingDirectory("C:\\Programs\\TrainingToolTest\\CocoTest");
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if (!setWorkingDirectory)std::cout << "Working Directory Not Set" << std::endl;
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////1. Create a project
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bool createdProject = ansEngine.CreateProject("CocoTest");
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if (!createdProject)std::cout << "Project Not Created" << std::endl;
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////2. Browse to the working directory
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projectDirectory = ansEngine.GetProjectDirectory();
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std::cout << "Project Directory:" << projectDirectory << std::endl;
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bool dataUploaded = ansEngine.UploadTrainingData("CocoTest");
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if (!dataUploaded)std::cout << "Cannot upload data" << std::endl;
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//////3. Create a training engine
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bool createEngine = ansEngine.CreateTrainingEngine("CocoTest", 1, 0, 2000, 32, 0.001);
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if (!createEngine)std::cout << "Cannot create engine" << std::endl;
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std::string projectExperimentStatus = ansEngine.GetProjectExperimentStatus("CocoTest", 1);
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std::cout << projectExperimentStatus << std::endl;
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std::string trainingCommand = ansEngine.GenerateTrainingCommand("CocoTest", 1, 0);
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std::cout << "Training Command:" << trainingCommand << std::endl;
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//// 4. Evaluate the model
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std::string evaluateModelCommand = ansEngine.EvaluateModel("CocoTest", 1);
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std::cout << "Evaluation Result:" << evaluateModelCommand << std::endl;
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//// 5. Download the model
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std::string saveModelPath = "C:\\Programs\\TrainingToolTest\\CocoTest\\Models";
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ansEngine.DownloadModel("CocoTest", 1, saveModelPath, 0);
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ansEngine.DownloadModel("CocoTest", 1, saveModelPath, 1);
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return 0;
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}
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int TestANSYLCLTRE() {// For Classfication
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ANSCENTER::ANYLCLTRE ansEngine;
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std::string projectDirectory = "";
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std::string engineFolderDir = "";
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std::string modelTemplateDir = "";
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bool initResult = ansEngine.Init("", projectDirectory, engineFolderDir, modelTemplateDir, "", true);
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std::cout << "Init Result" << initResult << std::endl;
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std::vector<std::string> projects = ansEngine.GetProjects();
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if (projects.size() > 0) {
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for (int i = 0; i < projects.size(); i++) {
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std::cout << "Project Name:" << projects[i] << std::endl;
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std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
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if (experiments.size() > 0) {
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for (int i = 0; i < experiments.size(); i++) {
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std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
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}
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}
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}
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}
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projects = ansEngine.GetProjects();
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if (projects.size() > 0) {
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for (int i = 0; i < projects.size(); i++) {
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std::cout << "Project Name:" << projects[i] << std::endl;
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std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
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if (experiments.size() > 0) {
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for (int i = 0; i < experiments.size(); i++) {
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std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
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}
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}
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}
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}
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//// Set the working directory
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bool setWorkingDirectory = ansEngine.SetWorkingDirectory("C:\\Programs\\TrainingToolTest\\Classification\\FMTest");
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if (!setWorkingDirectory)std::cout << "Working Directory Not Set" << std::endl;
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////1. Create a project
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bool createdProject = ansEngine.CreateProject("FireNSmokeClassifier");
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if (!createdProject)std::cout << "Project Not Created" << std::endl;
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////2. Browse to the working directory
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//projectDirectory = ansEngine.GetProjectDirectory();
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//std::cout << "Project Directory:" << projectDirectory << std::endl;
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//bool dataUploaded = ansEngine.UploadTrainingData("FMTest");
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//if (!dataUploaded)std::cout << "Cannot upload data" << std::endl;
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//////3. Create a training engine
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bool createEngine = ansEngine.CreateTrainingEngine("FireNSmokeClassifier", 1, 0, 2000, 32, 0.001);
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if (!createEngine)std::cout << "Cannot create engine" << std::endl;
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std::string projectExperimentStatus = ansEngine.GetProjectExperimentStatus("FireNSmokeClassifier", 1);
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std::cout << projectExperimentStatus << std::endl;
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std::string trainingCommand = ansEngine.GenerateTrainingCommand("FireNSmokeClassifier", 1, 0);
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std::cout << "Training Command:" << trainingCommand << std::endl;
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//// 4. Evaluate the model
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std::string evaluateModelCommand = ansEngine.EvaluateModel("FireNSmokeClassifier", 1);
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std::cout << "Evaluation Result:" << evaluateModelCommand << std::endl;
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//// 5. Download the model
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std::string saveModelPath = "C:\\Programs\\TrainingToolTest\\Classification\\FMTest\\Models";
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//ansEngine.DownloadModel("FireNSmokeClassifier", 1, saveModelPath, 0);
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ansEngine.DownloadModel("FireNSmokeClassifier", 1, saveModelPath, 1);
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return 0;
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}
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int TestANSTRE() {//
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ANSCENTER::ANYLTRE ansEngine;
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std::string projectDirectory = "";
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std::string engineFolderDir = "";
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std::string modelTemplateDir = "";
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ANSCENTER::ANSTRE* infHandle;
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int trainingEngineType = 1;
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// Create the handle
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bool initResult = CreateANSTREHandle(&infHandle, "", projectDirectory.c_str(), engineFolderDir.c_str(), modelTemplateDir.c_str(), "", trainingEngineType,true);
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std::cout << "Init Result" << initResult << std::endl;
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std::string strProjects;
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ANSTRE_GetProjects_CPP(&infHandle, strProjects);
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std::cout << "Projects:" << strProjects << std::endl;
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//// Set the working directory
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bool setWorkingDirectory=ANSTRE_SetWorkingDirectory(&infHandle, "C:\\Programs\\AITraining\\LPDetection");
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if (!setWorkingDirectory)std::cout << "Working Directory Not Set" << std::endl;
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////1. Create a project
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bool createdProject =ANSTRE_CreateProject(&infHandle, "LicensePlate");
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if (!createdProject)std::cout << "Project Not Created" << std::endl;
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////2. Browse to the working directory
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ANSTRE_GetProjectDirectory_CPP(&infHandle, projectDirectory);
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std::cout << "Project Directory:" << projectDirectory << std::endl;
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std::string trainingResultFile ="C:\\Projects\\ANLS\\Documents\\trainingResults.txt";
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std::string trainingResuls= readFileContent(trainingResultFile);
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std::string parsedResults;
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ANSTRE_ParseTrainingResults_CPP(&infHandle, trainingResuls.c_str(), parsedResults);
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std::cout << "Parsed Results:" << parsedResults << std::endl;
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bool dataUploaded = ANSTRE_UploadTrainingData(&infHandle, "LicensePlate");
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if (!dataUploaded)std::cout << "Cannot upload data" << std::endl;
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//////3. Create a training engine
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bool createEngine = ANSTRE_CreateTrainingEngine(&infHandle, "LicensePlate", 1, 0, 2000, 32, 0.001);
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if (!createEngine)std::cout << "Cannot create engine" << std::endl;
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std::string projectExperimentStatus;
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ANSTRE_GetProjectExperimentStatus_CPP(&infHandle, "LicensePlate", 1, projectExperimentStatus);
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std::cout << projectExperimentStatus << std::endl;
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std::string trainingCommand;
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ANSTRE_GenerateTrainingCommand_CPP(&infHandle, "LicensePlate", 1, 0, trainingCommand);
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std::cout << "Training Command:" << trainingCommand << std::endl;
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//// 4. Evaluate the model
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std::string mAPResult;
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ANSTRE_EvaluateModel_CPP(&infHandle, "LicensePlate", 1, mAPResult);
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std::cout << "Evaluation Result:" << mAPResult << std::endl;
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//// 5. Download the model
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std::string saveModelPath = "C:\\Programs\\AITraining\\LPDetection\\Models";
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ANSTRE_DownloadModel(&infHandle, "LicensePlate", 1, saveModelPath.c_str(), 0);
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if(trainingEngineType==1) ANSTRE_DownloadModel(&infHandle, "LicensePlate", 1, saveModelPath.c_str(), 1);
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return 0;
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}
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int FaceMaskDetection() {//
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ANSCENTER::ANYLTRE ansEngine;
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std::string projectDirectory = "";
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std::string engineFolderDir = "";
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std::string modelTemplateDir = "C:\\Program Files\\ANSCENTER\\ANS Object Detection\\data";
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ANSCENTER::ANSTRE* infHandle;
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int trainingEngineType = 0;
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// Create the handle
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bool initResult = CreateANSTREHandle(&infHandle, "", projectDirectory.c_str(), engineFolderDir.c_str(), modelTemplateDir.c_str(), "", trainingEngineType,true);
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std::cout << "Init Result" << initResult << std::endl;
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std::string strProjects;
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ANSTRE_GetProjects_CPP(&infHandle, strProjects);
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std::cout << "Projects:" << strProjects << std::endl;
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//// Set the working directory
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bool setWorkingDirectory = ANSTRE_SetWorkingDirectory(&infHandle, "C:\\Programs\\AITraining\\Mask");
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if (!setWorkingDirectory)std::cout << "Working Directory Not Set" << std::endl;
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////1. Create a project
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bool createdProject = ANSTRE_CreateProject(&infHandle, "Face Mask 5");
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if (!createdProject)std::cout << "Project Not Created" << std::endl;
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////2. Browse to the working directory
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ANSTRE_GetProjectDirectory_CPP(&infHandle, projectDirectory);
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std::cout << "Project Directory:" << projectDirectory << std::endl;
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bool dataUploaded = ANSTRE_UploadTrainingData(&infHandle, "Face Mask 5");
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if (!dataUploaded)std::cout << "Cannot upload data" << std::endl;
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//////3. Create a training engine
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bool createEngine = ANSTRE_CreateTrainingEngine (& infHandle, "Face Mask 5", 1, 3, 2000, 1, 0.001);
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if (!createEngine)std::cout << "Cannot create engine" << std::endl;
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std::string projectExperimentStatus;
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ANSTRE_GetProjectExperimentStatus_CPP(&infHandle, "Face Mask 5", 1, projectExperimentStatus);
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std::cout << projectExperimentStatus << std::endl;
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|
|
std::string trainingCommand;
|
||
|
|
ANSTRE_GenerateTrainingCommand_CPP(& infHandle, "Face Mask 5", 1, 3, trainingCommand);
|
||
|
|
std::cout << "Training Command:" << trainingCommand << std::endl;
|
||
|
|
|
||
|
|
//// 4. Evaluate the model
|
||
|
|
std::string mAPResult;
|
||
|
|
ANSTRE_EvaluateModel_CPP(&infHandle, "Face_Mask_3", 1, mAPResult);
|
||
|
|
std::cout << "Evaluation Result:" << mAPResult << std::endl;
|
||
|
|
|
||
|
|
//// 5. Download the model
|
||
|
|
std::string saveModelPath = "C:\\Programs\\AITraining\\Mask\\Models";
|
||
|
|
ANSTRE_DownloadModel(&infHandle, "LicensePlate", 1, saveModelPath.c_str(), 0);
|
||
|
|
if (trainingEngineType == 1) ANSTRE_DownloadModel(&infHandle, "Face Mask 5", 1, saveModelPath.c_str(), 1);
|
||
|
|
return 0;
|
||
|
|
}
|
||
|
|
int FallDetection() {
|
||
|
|
ANSCENTER::ANYLTRE ansEngine;
|
||
|
|
std::string projectDirectory = "";
|
||
|
|
std::string engineFolderDir = "";
|
||
|
|
std::string modelTemplateDir = "";
|
||
|
|
ANSCENTER::ANSTRE* infHandle;
|
||
|
|
int trainingEngineType = 0; // Using the Yolov8
|
||
|
|
// Create the handle
|
||
|
|
bool initResult = CreateANSTREHandle(&infHandle, "", projectDirectory.c_str(), engineFolderDir.c_str(), modelTemplateDir.c_str(), "", trainingEngineType,false);
|
||
|
|
std::cout << "Init Result" << initResult << std::endl;
|
||
|
|
|
||
|
|
|
||
|
|
int engineInstalled= ANSTRE_CheckEngine(&infHandle);
|
||
|
|
std::cout << "Engine Installed:" << engineInstalled << std::endl;
|
||
|
|
std::string strProjects;
|
||
|
|
ANSTRE_GetProjects_CPP(&infHandle, strProjects);
|
||
|
|
std::cout << "Projects:" << strProjects << std::endl;
|
||
|
|
|
||
|
|
//// Set the working directory
|
||
|
|
bool setWorkingDirectory = ANSTRE_SetWorkingDirectory(&infHandle, "C:\\Programs\\TrainingWorkingStation\\Projects\\FallDetection");
|
||
|
|
if (!setWorkingDirectory)std::cout << "Working Directory Not Set" << std::endl;
|
||
|
|
|
||
|
|
////1. Create a project
|
||
|
|
bool createdProject = ANSTRE_CreateProject(&infHandle, "Fall Detection");
|
||
|
|
if (!createdProject)std::cout << "Project Not Created" << std::endl;
|
||
|
|
|
||
|
|
////2. Browse to the working directory
|
||
|
|
ANSTRE_GetProjectDirectory_CPP(&infHandle, projectDirectory);
|
||
|
|
std::cout << "Project Directory:" << projectDirectory << std::endl;
|
||
|
|
|
||
|
|
bool dataUploaded = ANSTRE_UploadTrainingData(&infHandle, "Fall Detection");
|
||
|
|
if (!dataUploaded)std::cout << "Cannot upload data" << std::endl;
|
||
|
|
|
||
|
|
//////3. Create a training engine
|
||
|
|
bool createEngine = ANSTRE_CreateTrainingEngine(&infHandle, "Fall Detection", 1, 3, 2000, 1, 0.001);
|
||
|
|
if (!createEngine)std::cout << "Cannot create engine" << std::endl;
|
||
|
|
|
||
|
|
std::string projectExperimentStatus;
|
||
|
|
ANSTRE_GetProjectExperimentStatus_CPP(&infHandle, "Fall Detection", 1, projectExperimentStatus);
|
||
|
|
std::cout << projectExperimentStatus << std::endl;
|
||
|
|
|
||
|
|
std::string trainingCommand;
|
||
|
|
ANSTRE_GenerateTrainingCommand_CPP(&infHandle, "Fall Detection", 1, 3, trainingCommand);
|
||
|
|
std::cout << "Training Command:" << trainingCommand << std::endl;
|
||
|
|
|
||
|
|
//// 4. Evaluate the model
|
||
|
|
std::string mAPResult;
|
||
|
|
ANSTRE_EvaluateModel_CPP(&infHandle, "Fall Detection", 1, mAPResult);
|
||
|
|
std::cout << "Evaluation Result:" << mAPResult << std::endl;
|
||
|
|
|
||
|
|
//// 5. Download the model
|
||
|
|
std::string saveModelPath = "C:\\Programs\\TrainingWorkingStation\\Projects\\FallDetection\\Models";
|
||
|
|
ANSTRE_DownloadModel(&infHandle, "FallDetection", 1, saveModelPath.c_str(), 0);
|
||
|
|
if (trainingEngineType == 1) ANSTRE_DownloadModel(&infHandle, "Fall Detection", 1, saveModelPath.c_str(), 1);
|
||
|
|
|
||
|
|
return 0;
|
||
|
|
}
|
||
|
|
|
||
|
|
// Segmentaion
|
||
|
|
int TestSegmentationEngine() {// For New Yolo version
|
||
|
|
ANSCENTER::ANYLSEGTRE ansEngine;
|
||
|
|
std::string projectDirectory = "";
|
||
|
|
std::string engineFolderDir = "";
|
||
|
|
std::string modelTemplateDir = "";
|
||
|
|
bool initResult = ansEngine.Init("", projectDirectory, engineFolderDir, modelTemplateDir, "", true);
|
||
|
|
std::cout << "Init Result" << initResult << std::endl;
|
||
|
|
std::vector<std::string> projects = ansEngine.GetProjects();
|
||
|
|
if (projects.size() > 0) {
|
||
|
|
for (int i = 0; i < projects.size(); i++) {
|
||
|
|
std::cout << "Project Name:" << projects[i] << std::endl;
|
||
|
|
std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
|
||
|
|
if (experiments.size() > 0) {
|
||
|
|
for (int i = 0; i < experiments.size(); i++) {
|
||
|
|
std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
projects = ansEngine.GetProjects();
|
||
|
|
if (projects.size() > 0) {
|
||
|
|
for (int i = 0; i < projects.size(); i++) {
|
||
|
|
std::cout << "Project Name:" << projects[i] << std::endl;
|
||
|
|
std::vector<std::string> experiments = ansEngine.GetProjectExperiments(projects[i]);
|
||
|
|
if (experiments.size() > 0) {
|
||
|
|
for (int i = 0; i < experiments.size(); i++) {
|
||
|
|
std::cout << "-- Project Experiment:" << experiments[i] << std::endl;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
//// Set the working directory
|
||
|
|
bool setWorkingDirectory = ansEngine.SetWorkingDirectory("C:\\Programs\\TrainingToolTest\\SegmentationEngine\\SegmeTxtYolo");
|
||
|
|
if (!setWorkingDirectory)std::cout << "Working Directory Not Set" << std::endl;
|
||
|
|
|
||
|
|
|
||
|
|
////1. Create a project
|
||
|
|
bool createdProject = ansEngine.CreateProject("SegmentationTest");
|
||
|
|
if (!createdProject)std::cout << "Project Not Created" << std::endl;
|
||
|
|
|
||
|
|
////2. Browse to the working directory
|
||
|
|
projectDirectory = ansEngine.GetProjectDirectory();
|
||
|
|
std::cout << "Project Directory:" << projectDirectory << std::endl;
|
||
|
|
|
||
|
|
bool dataUploaded = ansEngine.UploadTrainingData("SegmentationTest");
|
||
|
|
if (!dataUploaded)std::cout << "Cannot upload data" << std::endl;
|
||
|
|
|
||
|
|
//////3. Create a training engine
|
||
|
|
|
||
|
|
bool createEngine = ansEngine.CreateTrainingEngine("SegmentationTest", 1, 0, 2000, 32, 0.001);
|
||
|
|
if (!createEngine)std::cout << "Cannot create engine" << std::endl;
|
||
|
|
|
||
|
|
std::string projectExperimentStatus = ansEngine.GetProjectExperimentStatus("SegmentationTest", 1);
|
||
|
|
std::cout << projectExperimentStatus << std::endl;
|
||
|
|
|
||
|
|
std::string trainingCommand = ansEngine.GenerateTrainingCommand("SegmentationTest", 1, 0);
|
||
|
|
std::cout << "Training Command:" << trainingCommand << std::endl;
|
||
|
|
|
||
|
|
//// 4. Evaluate the model
|
||
|
|
std::string evaluateModelCommand = ansEngine.EvaluateModel("SegmentationTest", 1);
|
||
|
|
std::cout << "Evaluation Result:" << evaluateModelCommand << std::endl;
|
||
|
|
|
||
|
|
//// 5. Download the model
|
||
|
|
std::string saveModelPath = "C:\\Programs\\TrainingToolTest\\SegmentationEngine\\SegmeTxtYolo\\Models";
|
||
|
|
ansEngine.DownloadModel("SegmentationTest", 1, saveModelPath, 0);
|
||
|
|
ansEngine.DownloadModel("SegmentationTest", 1, saveModelPath, 1);
|
||
|
|
|
||
|
|
return 0;
|
||
|
|
}
|
||
|
|
|
||
|
|
int main()
|
||
|
|
{
|
||
|
|
TestSegmentationEngine();
|
||
|
|
//TestANSYLTRE();
|
||
|
|
//TestANSYLCLTRE();
|
||
|
|
//FallDetection();
|
||
|
|
//TestANSTRE();
|
||
|
|
//FaceMaskDetection();
|
||
|
|
//TestANSTRE();
|
||
|
|
//TestANSODTRE();
|
||
|
|
//TestANSYLTRE();
|
||
|
|
return 0;
|
||
|
|
}
|