static void Main(string[] args)
{
var options = Options.InitializeOptions <TrainingOptions>(args);
if (options == null)
{
return;
}
var trainingApi = new TrainingApi()
{
ApiKey = options.Trainingkey
};
if (options.BaseUri != null)
{
Console.WriteLine($"The default base uri is {trainingApi.BaseUri}. Changed it to {options.BaseUri}.");
trainingApi.BaseUri = options.BaseUri;
}
ProjectInfo project;
if (options.ProjectId != Guid.Empty)
{
if (!trainingApi.CheckIfProjectExists(options.ProjectId))
{
Console.WriteLine($"Cannot get the project with id {options.ProjectId}. Please check if the Guid is right.");
return;
}
project = new ProjectInfo(trainingApi.GetProject(options.ProjectId));
}
else
{
Console.WriteLine("ProjectId is not provided. Creating a new project...");
var projectInfo = ProjectInfo.ReadProjectInfo(options.WorkDir + options.ProjectInfoFileName);
project = trainingApi.CreateProjectAsync(projectInfo).Result;
}
Console.WriteLine($"Project Id: {project.Id}");
if (options.ImageSource != "existing")
{
var uploadResult = trainingApi.ReadAndUploadImagesAsync(project, options, options.AllowedTagNames).Result;
if (!uploadResult.IsBatchSuccessful)
{
Console.WriteLine("No image uploaded successfully. Please check if those images have been uploaded before.");
return;
}
}
trainingApi.TrainProject(project.Id);
Console.WriteLine("The classifier is now training. You can check its status in the web portal.\nPress any key to exit.");
Console.ReadKey();
}