static async Task WorkOnProject(string trainingEndpoint, string trainingKey, string projectName, string COCOInstancesFilePathOrUrl, IList <string> categories, uint numberOfImages, bool isDetectionModel, bool train)
{
Console.Write($"\nLoading, parsing and preparing {COCOInstancesFilePathOrUrl}...");
if (numberOfImages == 0 || numberOfImages > customVisionImageLimit)
{
numberOfImages = 50000;
}
var data = await COCODatasetFactory.LoadFromCOCOAnnotationJSONFileAsync(COCOInstancesFilePathOrUrl, categories, numberOfImages);
Console.WriteLine("done.");
Console.WriteLine("Prepared COCO dataset with {0} categories and {1} images.\n", data.categoriesAndIds.Count, data.traningSet.Count);
Console.Write($"Initializing Custom Vision Project {COCOInstancesFilePathOrUrl}...");
ProjectTraningConfiguration trainingConfig = await ProjectTraningConfiguration.CreateProjectAsync(trainingEndpoint, trainingKey, projectName, true, isDetectionModel);
Console.WriteLine("done.");
Console.Write($"\nLoading traning images to Custom Vision Project...");
CustomVisionProjectTraning traning = new CustomVisionProjectTraning(trainingConfig);
int ignoredImages = await traning.LoadWithCOCO(data, isDetectionModel);
if (ignoredImages == 0)
{
Console.WriteLine("done.");
}
else
{
Console.WriteLine($"done. Ignored {ignoredImages} image(s).");
}
if (train)
{
Console.Write($"\nTraning Custom Vision Project...");
await traning.Train();
Console.WriteLine("done.");
}
else
{
Console.WriteLine("Traning is not requested.");
}
}
public CustomVisionProjectTraning(ProjectTraningConfiguration config)
{
configuration = config;
}
