public ObservableDictionary <int, NeuralProcessDescription> LoadDataset(BreadcrumbXmlLoadDescription breadcrumbXmlLoadDescription)
{
var breadcrumbTrailCollectionDirectory = breadcrumbXmlLoadDescription.BreadcrumbTrailCollectionDirectory;
var breadcrumbCollections = from fileInfo in new DirectoryInfo(breadcrumbTrailCollectionDirectory).GetFiles("*.*")
select new
{
SectionId = int.Parse(fileInfo.Name.Trim(TRIM_CHARS)),
BreadcrumbCollection =
XmlReader.ReadFromFile <contours, contoursSerializer>(
Path.Combine(breadcrumbTrailCollectionDirectory, fileInfo.Name))
};
Release.Assert(breadcrumbCollections.Count() > 0);
Release.Assert(breadcrumbCollections.All(breadcrumbCollection => breadcrumbCollection.BreadcrumbCollection.contour.All(breadcrumb => [email protected]("PointContour"))));
var distinctNeuralProcessNames = (from breadcrumbCollection in breadcrumbCollections
from breadcrumb in breadcrumbCollection.BreadcrumbCollection.contour
select breadcrumb.name).Distinct();
var distinctNeuralProcessIds = Enumerable.Range(1, distinctNeuralProcessNames.Count() + 1);
var distinctNeuralProcesses = distinctNeuralProcessIds.Zip(distinctNeuralProcessNames, (id, name) => new { Id = id, Name = name });
var tmpBreadcrumbDescriptions = from breadcrumbCollection in breadcrumbCollections
from breadcrumb in breadcrumbCollection.BreadcrumbCollection.contour
select new
{
Name = breadcrumb.name,
Color = new Vector3(
int.Parse(breadcrumb.color.Substring(1, 2), NumberStyles.HexNumber),
int.Parse(breadcrumb.color.Substring(3, 2), NumberStyles.HexNumber),
int.Parse(breadcrumb.color.Substring(5, 2), NumberStyles.HexNumber)),
BreadcrumbDescription = new BreadcrumbDescription
{
Position = new Vector3(
breadcrumb.value.point.x - breadcrumbXmlLoadDescription.BreadcrumbTrailCoordinateOffset.X,
breadcrumb.value.point.y - breadcrumbXmlLoadDescription.BreadcrumbTrailCoordinateOffset.Y,
breadcrumbCollection.SectionId - breadcrumbXmlLoadDescription.BreadcrumbTrailCoordinateOffset.Z)
}
};
var neuralProcesssToRemove = Constants.REMOVE_BAD_PROCESSES ? Constants.BadProcesses : new List <string>();
var neuralProcessDescriptions = new ObservableDictionary <int, NeuralProcessDescription>(
(from distinctNeuralProcess in distinctNeuralProcesses
join breadcrumbDescription in tmpBreadcrumbDescriptions
on distinctNeuralProcess.Name equals breadcrumbDescription.Name
into breadcrumbDescriptionsWithTheSameName
where !neuralProcesssToRemove.Contains(distinctNeuralProcess.Name)
select new NeuralProcessDescription(distinctNeuralProcess.Id)
{
Name = distinctNeuralProcess.Name,
Color = breadcrumbDescriptionsWithTheSameName.First().Color,
BreadcrumbDescriptions =
(from breadcrumbDescription in breadcrumbDescriptionsWithTheSameName
select breadcrumbDescription.BreadcrumbDescription).ToList()
}).ToDictionary(
neuralProcessDescription => neuralProcessDescription.Id,
neuralProcessDescription => neuralProcessDescription));
return(neuralProcessDescriptions);
}
public void LoadDataset(SegmenterImageStackLoadDescription segmenterImageStackLoadDescription, BreadcrumbXmlLoadDescription breadcrumbXmlLoadDescription)
{
var volumeDescriptions = SegmenterImageStackLoader.LoadDataset(segmenterImageStackLoadDescription);
var breadcrumbXmlLoader = new BreadcrumbXmlLoader();
var neuralProcessDescriptions = breadcrumbXmlLoader.LoadDataset(breadcrumbXmlLoadDescription);
neuralProcessDescriptions.Add(Constants.DEFAULT_NEURAL_PROCESS.Id, Constants.DEFAULT_NEURAL_PROCESS);
var datasetDescription = new DatasetDescription
{
NeuralProcessDescriptions = neuralProcessDescriptions,
VolumeDescriptions = volumeDescriptions
};
LoadDataset(datasetDescription);
}
