protected override TerrainMeshData GenerateForLod(IntensityImage image, int downsample)
{
// Downsampling rate must be a power of 2.
if (!MathUtils.IsPowerOfTwo(downsample))
{
throw new Exception($"Downsample rate of {downsample} is not a power of 2.");
}
// Calculate image bounds based on UV bounds.
int imageStartX = Mathf.RoundToInt(_uvBounds.U1 * image.Width / downsample);
int imageEndX = Mathf.RoundToInt(_uvBounds.U2 * (image.Width / downsample - 1));
int imageStartY = Mathf.RoundToInt(_uvBounds.V1 * image.Height / downsample);
int imageEndY = Mathf.RoundToInt(_uvBounds.V2 * (image.Height / downsample - 1));
// Each pixel in the selected area of the downsampled image represents a vertex.
int lonVertCount = imageEndX - imageStartX + 1;
int latVertCount = imageEndY - imageStartY + 1;
float latIncrement = _boundingBox.LatSwing / (latVertCount - 1);
float lonIncrement = _boundingBox.LonSwing / (lonVertCount - 1);
Vector3[] verts = new Vector3[latVertCount * lonVertCount];
Vector2[] uvs = new Vector2[latVertCount * lonVertCount];
Vector3[] edgeVerts = new Vector3[4 * (latVertCount + lonVertCount - 2) + 2];
Vector2 latLongOffset = BoundingBoxUtils.MedianLatLon(_boundingBox);
Vector3 min = new Vector3(float.PositiveInfinity, 0, 0);
int yIndex = 0, vertexIndex = 0;
for (float vy = _boundingBox.LatStart; yIndex < latVertCount; vy += latIncrement)
{
// The y-coordinate on the image that corresponds to the current row of vertices.
// Note this is actually inverted since we are traversing from bottom up.
int y = (latVertCount - yIndex - 1 + imageStartY) * downsample;
// Create a new vertex using the latitude angle. The coordinates of this vertex
// will serve as a base for all the other vertices of the same latitude.
Vector3 baseLatVertex = GenerateBaseLatitudeVertex(vy);
int xIndex = 0;
for (float vx = _boundingBox.LonStart; xIndex < lonVertCount; vx += lonIncrement)
{
// The x-coordinate on the image that corresponds to the current vertex.
int x = (xIndex + imageStartX) * downsample;
// Get the raw intensity value from the image.
float value = downsample == 1 ?
image.GetPixel(x, y) :
image.GetCenteredAverage(x, y, downsample + 1);
// Scale the intensity value by the height scale, and
// then add it to the radius to get the final "height".
float height = value * _metadata.HeightScale + _metadata.Radius;
Vector3 vertex = GenerateVertex(height * baseLatVertex, vx, latLongOffset, _metadata.Radius);
// Keep track of minimum; this will be used later to position the terrain on the table-top.
if (vertex.x < min.x)
{
min = vertex;
}
// Add to edge vertices
if (yIndex == 0)
{
edgeVerts[xIndex] = vertex;
}
else if (xIndex == lonVertCount - 1)
{
edgeVerts[lonVertCount + yIndex - 1] = vertex;
}
else if (yIndex == latVertCount - 1)
{
edgeVerts[2 * (lonVertCount - 1) + latVertCount - xIndex - 1] = vertex;
}
else if (xIndex == 0)
{
edgeVerts[2 * (lonVertCount + latVertCount - 2) - yIndex] = vertex;
}
verts[vertexIndex] = vertex;
uvs[vertexIndex] = GenerateUVCoord(xIndex, yIndex, lonVertCount, latVertCount, _uvBounds);
xIndex++;
vertexIndex++;
}
yIndex++;
}
// Finish generating the data for the terrain edge.
ProcessEdgeVertices(edgeVerts, min.x);
return(new TerrainMeshData()
{
Vertices = verts,
TexCoords = uvs,
Triangles = GenerateTriangles(lonVertCount, latVertCount),
ExtraVertices = edgeVerts,
ExtraTriangles = GenerateTriangles(edgeVerts.Length / 2, 2, true),
MinimumVertex = min
});
}
protected override TerrainMeshData GenerateForLod(IntensityImage image, int downsample = 1)
{
// Downsampling rate must be a power of 2.
if (!MathUtils.IsPowerOfTwo(downsample))
{
throw new Exception($"Downsample rate of {downsample} is not a power of 2.");
}
// Vertex count for the latitude is the same as the downsampled texture height.
// However, we need to generate an extra set of vertices in the longitude
// direction to complete the loop around. We cannot simply reuse the first
// vertices of of the loop, due to the start and end having different UV
// coordinates despite having same world coordinates.
int lonVertCount = image.Width / downsample + 1;
int latVertCount = image.Height / downsample;
Debug.Log(lonVertCount + ", " + latVertCount);
Vector3[] verts = new Vector3[lonVertCount * latVertCount];
Vector2[] uvs = new Vector2[lonVertCount * latVertCount];
// Vertex counter
int vertexIndex = 0;
// Calculate the incretmental step sizes of the latitude
// and longitude here for potential performance increase.
float latStepSize = Mathf.PI / (latVertCount - 1);
float lonStepSize = 360.0f / (lonVertCount - 1);
// Iterate through the rows of vertices.
for (int vy = 0; vy < latVertCount; vy++)
{
// The y-coordinate on the image that corresponds to the current row of vertices.
int y = vy * downsample;
// Iterate through each vertex in the row of verticies.
// Calculate the actual angle of the latitude.
float latAng = latStepSize * vy + Mathf.PI / 2;
// Create a new vertex using the latitude angle. The coordinates of this
// vertex will serve as a base for all the other vertices in this latitude.
Vector3 baseLatVertex = new Vector3(Mathf.Cos(latAng), Mathf.Sin(latAng), 0);
// Iterate through each vertex in the row of verticies.
// Traverse backwards in order to get correct orientation of texture and normals.
for (int vx = lonVertCount - 1; vx >= 0; vx--)
{
// The x-coordinate on the image that corresponds to the current vertex.
int x = vx * downsample;
// Get the raw intensity value from the image.
float value = downsample == 1 ?
image.GetPixel(x, y) :
image.GetCenteredAverage(x, y, downsample + 1);
// Scale the intensity value by the height scale, and
// then add it to the radius to get the final "height".
float height = value * _metadata.HeightScale + _metadata.Radius;
// Longitude is offset by 90 degrees so that the foward vector is at 0,0 lat and long.
verts[vertexIndex] = Quaternion.Euler(0, -90 - vx * lonStepSize, 0) * (height * baseLatVertex);
uvs[vertexIndex] = MeshGenerationUtils.GenerateUVCoord(vx, vy, lonVertCount, latVertCount);
vertexIndex++;
}
}
return(new TerrainMeshData()
{
Vertices = verts,
TexCoords = uvs,
Triangles = MeshGenerationUtils.GenerateTriangles(lonVertCount, latVertCount)
});
}
public static IntensityImage ToIntensityImage(TiffImage tiff)
{
TiffMetadata metadata = tiff.Metadata;
// Check image format.
if (metadata.SamplesPerPixel != 1)
{
throw new Exception("Color source cannot be converted into intensity image. Use ToRGBAImage() instead.");
}
// Create an Image object to store the result.
IntensityImage result = new IntensityImage(metadata.Width, metadata.Height);
// Tiled encoding...
if (metadata.Tiled)
{
Vector2Int tilesAcrossImage = new Vector2Int(
Mathf.CeilToInt(metadata.Width / (float)metadata.TileWidth),
Mathf.CeilToInt(metadata.Height / (float)metadata.TileHeight)
);
// Byte array for buffering the bytes read from each tile.
byte[] tileBytes = new byte[metadata.TileSize];
// Float array for buffering the intensity values of each tile.
float[] values = new float[metadata.TileWidth * metadata.TileHeight];
// Iterate through each tile.
for (int ty = 0; ty < tilesAcrossImage.y; ty++)
{
// The y-coordinate of the tile's top row of pixels on the image.
int y = ty * metadata.TileHeight;
for (int tx = 0; tx < tilesAcrossImage.x; tx++)
{
// The x-coordinate of the tile's left column of pixels on the image.
int x = tx * metadata.TileWidth;
// Read bytes from tile and convert them to pixel values.
tiff.ReadTile(tileBytes, 0, x, y, 0, 0);
TiffUtils.BytesToFloat(tileBytes, values);
// Iterate through the intensity values in the tile.
for (int i = 0; i < values.Length; i++)
{
// Calculate the x and y coordinate relative to the tile
// based on the index of the pixel within the tile.
Vector2Int tilePixel = ImageUtils.IndexToCoordinates(i, metadata.TileWidth);
// Update the Image object with the pixel value.
result.SetPixel(tilePixel.x + x, tilePixel.y + y, values[i]);
}
}
}
}
// Scanline encoding...
else
{
// Byte array for buffering the bytes read from each scanline.
byte[] scanlineBytes = new byte[metadata.ScanlineSize];
// Float array for buffering the intensity values of each pixels in a scanline.
float[] values = new float[metadata.Width];
// Iterate through all the scanlines.
for (int y = 0; y < metadata.Height; y++)
{
// Read bytes from scanline and convert them to pixel values.
tiff.ReadScanline(scanlineBytes, y);
TiffUtils.BytesToFloat(scanlineBytes, values);
// Iterate through all the pixel values in the scanline.
for (int x = 0; x < metadata.Width; x++)
{
// Update the Image object with the pixel value.
result.SetPixel(x, y, values[x]);
}
}
}
return(result);
}
/* * TODO Modify the implementations of the function such that * they generate all the LODs at the same time, instead of * having to read the image data once for each LOD. */ protected abstract TerrainMeshData GenerateForLod(IntensityImage image, int downsample);