public Vector3D shadeDividedRho(Collision collision)
{
var hemiSampler = hemiSamplerFactory.makeSampler();
Vector3D wi = SamplerUtil.sampleWi(collision.normal, hemiSampler, randomFactory);
Vector3D li = tracer.traceRay(new Ray(collision.point, wi), lightFilter);
return(MathUtil.multiply(colorDiffuse, li));
}
public Dataset(string source, string target, List <Sampler> samplers)
{
_sourceDir = SamplerUtil.GetAbsoluteFilePath(source);
_targetDir = SamplerUtil.GetAbsoluteFilePath(target);
foreach (var sampler in samplers)
{
AddSampler(sampler);
}
}
public void Sample(string ifcPath, Action <string, string> exportDelegate, Action <List <string> > vocabUpdaterDelegate)
{
if (!SamplerUtil.IsValidIfcFile(ifcPath))
{
throw new FileNotFoundException("The specified IFC file is either invalid or cannot be found.");
}
try
{
using (var model = IfcStore.Open(ifcPath))
{
log.InfoFormat("Sampling the file with a {0}...", GetType().Name);
ExportData(model, exportDelegate, vocabUpdaterDelegate);
}
}
catch (Exception e)
{
log.ErrorFormat("Failed to load the file: {0}", e.Message);
}
}
private void ProcessTree()
{
double maxSize = SamplerUtil.Max(_boundingBox.SizeX, _boundingBox.SizeY, _boundingBox.SizeZ);
double _looseNess = 1.2;
_tree = new XbimOctree <int>(maxSize / _looseNess, ScaleOrder, _looseNess, _boundingBox.Centroid());
foreach (int label in _bboxBuffer.Keys)
{
_tree.Add(label, _bboxBuffer[label]);
}
XbimRect3D treeBox = _tree.ContentBounds();
if (SamplerUtil.BBoxEqual(treeBox, _boundingBox))
{
log.Info("Tree was successfully populated");
}
else
{
log.Error("Tree bounds do not match the boundingbox of the model !");
}
}
public void ExportData(IfcStore model, Action <string, string> exportDelegate, Action <List <string> > vocabMerger)
{
int numCollections = 0;
Action <List <string> > collectionSampler = (collection) => {
collection = SamplerUtil.ProcessCollection(collection);
vocabMerger.Invoke(collection);//add the collection to the global vocabulary
foreach (string label in collection)
{
foreach (string target in collection)
{
if (label == target)
{
continue;
}
exportDelegate.Invoke(label, target);
}
}
numCollections++;
};
SampleCollections(model, collectionSampler);
log.InfoFormat("Finished sampling {0} collections", numCollections);
}
