public PointCloudTileSource TilePointFileIndex(LASFile tiledFile, BufferInstance segmentBuffer, ProgressManager progressManager)
{
var stopwatch = new Stopwatch();
stopwatch.Start();
var analysis = AnalyzePointFile(segmentBuffer.Length, progressManager);
var quantizedExtent = m_source.QuantizedExtent;
var tileCounts = analysis.Density.GetTileCountsForInitialization();
var fileSize = tiledFile.PointDataOffset + (m_source.PointSizeBytes * m_source.Count);
AttemptFastAllocate(tiledFile.FilePath, fileSize);
var lowResPointCountMax = PROPERTY_MAX_LOWRES_POINTS.Value;
var lowResBuffer = BufferManager.AcquireBuffer(m_id, lowResPointCountMax * m_source.PointSizeBytes);
var lowResWrapper = new PointBufferWrapper(lowResBuffer, m_source.PointSizeBytes, lowResPointCountMax);
var validTiles = analysis.GridIndex.Sum(r => r.GridRange.ValidCells);
var lowResPointsPerTile = lowResPointCountMax / validTiles;
var lowResTileSize = (ushort)Math.Sqrt(lowResPointsPerTile);
var lowResGrid = Grid <int> .Create(lowResTileSize, lowResTileSize, true, -1);
var lowResCounts = tileCounts.Copy <int>();
using (var outputStream = StreamManager.OpenWriteStream(tiledFile.FilePath, fileSize, tiledFile.PointDataOffset))
{
var i = 0;
foreach (var segment in analysis.GridIndex)
{
progressManager.Log("~ Processing Index Segment {0}/{1}", ++i, analysis.GridIndex.Count);
var sparseSegment = m_source.CreateSparseSegment(segment);
var sparseSegmentWrapper = new PointBufferWrapper(segmentBuffer, sparseSegment);
var tileRegionFilter = new TileRegionFilter(tileCounts, quantizedExtent, segment.GridRange);
// this call will fill the buffer with points, add the counts, and sort
QuantTilePointsIndexed(sparseSegment, sparseSegmentWrapper, tileRegionFilter, tileCounts, lowResWrapper, lowResGrid, lowResCounts, progressManager);
var segmentFilteredPointCount = tileRegionFilter.GetCellOrdering().Sum(t => tileCounts.Data[t.Row, t.Col]);
var segmentFilteredBytes = segmentFilteredPointCount * sparseSegmentWrapper.PointSizeBytes;
// write out the buffer
using (var process = progressManager.StartProcess("WriteIndexSegment"))
{
var segmentBufferIndex = 0;
foreach (var tile in segment.GridRange.GetCellOrdering())
{
var tileCount = tileCounts.Data[tile.Row, tile.Col];
if (tileCount > 0)
{
var tileSize = (tileCount - lowResCounts.Data[tile.Row, tile.Col]) * sparseSegmentWrapper.PointSizeBytes;
outputStream.Write(sparseSegmentWrapper.Data, segmentBufferIndex, tileSize);
segmentBufferIndex += tileSize;
if (!process.Update((float)segmentBufferIndex / segmentFilteredBytes))
{
break;
}
}
}
}
if (progressManager.IsCanceled())
{
break;
}
}
// write low-res
var lowResActualPointCount = lowResCounts.Data.Cast <int>().Sum();
outputStream.Write(lowResWrapper.Data, 0, lowResActualPointCount * lowResWrapper.PointSizeBytes);
}
var actualDensity = new PointCloudTileDensity(tileCounts, m_source.Quantization);
var tileSet = new PointCloudTileSet(m_source, actualDensity, tileCounts, lowResCounts);
var tileSource = new PointCloudTileSource(tiledFile, tileSet, analysis.Statistics);
if (!progressManager.IsCanceled())
{
tileSource.IsDirty = false;
}
tileSource.WriteHeader();
return(tileSource);
}
