/// <summary>
/// Read and upload images to <paramref name="project"/> based on <paramref name="options"/>
/// </summary>
public static async Task <CreateImageSummaryModel> ReadAndUploadImagesAsync(this ITrainingApi trainingApi,
Project project, TrainingOptions options, ICollection <string> allowedTagNames)
{
var images = ImagesLoaderGenerator.GenerateImagesLoader(options, allowedTagNames).LoadImages();
return(await ImagesUploaderGenerator.GenerateImagesUploader(options, trainingApi).UploadImagesAsync(images, project.Id));
}
static void Main(string[] args)
{
var options = Options.InitializeOptions <PredictionOptions>(args);
if (options == null)
{
return;
}
var images = ImagesLoaderGenerator.GenerateImagesLoader(options, options.AllowedTagNames).LoadImages();
var predictionEndpoint = new PredictionEndpoint(new PredictionEndpointCredentials(options.PredictionKey));
if (options.BaseUri != null)
{
Console.WriteLine($"The default base uri is {predictionEndpoint.BaseUri}. Changed it to {options.BaseUri}.");
predictionEndpoint.BaseUri = options.BaseUri;
}
PrecisionAndRecall precisionAndRecall;
using (var predictor = ConstructPredictor(predictionEndpoint, options.WorkDir + options.PredictionFileName, options.MilliSecondsBetweenPredictions))
{
var batchPredictor = new BatchPredictorWithRateLimit(predictor, options.MilliSecondsBetweenPredictions);
precisionAndRecall = PrecisionAndRecall.ComputeAsync(
images,
options.Threshold,
async imgs => await batchPredictor.PredictWithImagesAsync(imgs, options.ProjectId, options.IterationId),
options.AllowedTagNames).Result;
}
Console.WriteLine($"Precision: {precisionAndRecall.Precision}");
Console.WriteLine($"Recall: {precisionAndRecall.Recall}");
Console.WriteLine("Press any key to exit.");
Console.ReadKey();
}
