/// <summary>
/// Creates a histogram texture for 2D transfer functions.
/// X-axis = data sample (density) value
/// Y-axis = gradient magnitude
/// colour = white (if there is a data sample with the specified value and gradient magnitude) or black (if not)
/// </summary>
/// <param name="dataset"></param>
/// <returns></returns>
public static Texture2D Generate2DHistogramTexture(VolumeDataset dataset)
{
float minValue = dataset.GetMinDataValue();
float maxValue = dataset.GetMaxDataValue();
// Value range of the density values.
float densityValRange = maxValue - minValue + 1.0f;
float densityRangeRecip = 1.0f / (maxValue - minValue); // reciprocal
// Clamp density value samples.
int numDensitySamples = System.Math.Min((int)densityValRange, 512);
int numGradientSamples = 256;
Color[] cols = new Color[numDensitySamples * numGradientSamples];
Texture2D texture = new Texture2D(numDensitySamples, numGradientSamples, TextureFormat.RGBAFloat, false);
// Zero-initialise colours.
for (int iCol = 0; iCol < cols.Length; iCol++)
{
cols[iCol] = new Color(0.0f, 0.0f, 0.0f, 0.0f);
}
float maxRange = dataset.GetMaxDataValue() - dataset.GetMinDataValue();
const float maxNormalisedMagnitude = 1.75f; // sqrt(1^2 + 1^2 + 1^2) = swrt(3) = a bit less than 1.75
for (int x = 1; x < dataset.dimX - 1; x++)
{
for (int y = 1; y < dataset.dimY - 1; y++)
{
for (int z = 1; z < dataset.dimZ - 1; z++)
{
int iData = x + y * dataset.dimX + z * (dataset.dimX * dataset.dimY);
int density = Mathf.RoundToInt(dataset.data[iData]); // FIXME
float x1 = dataset.data[(x + 1) + y * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
float x2 = dataset.data[(x - 1) + y * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
float y1 = dataset.data[x + (y + 1) * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
float y2 = dataset.data[x + (y - 1) * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
float z1 = dataset.data[x + y * dataset.dimX + (z + 1) * (dataset.dimX * dataset.dimY)];
float z2 = dataset.data[x + y * dataset.dimX + (z - 1) * (dataset.dimX * dataset.dimY)];
// Calculate gradient
Vector3 grad = new Vector3((x2 - x1) / (float)maxRange, (y2 - y1) / (float)maxRange, (z2 - z1) / (float)maxRange);
// Calculate density and gradient value indices (in flattened 2D array)
float tDensity = (density - minValue) * densityRangeRecip;
int iDensity = Mathf.RoundToInt((numDensitySamples - 1) * tDensity);
int iGrad = (int)(grad.magnitude * numGradientSamples / maxNormalisedMagnitude);
// Assign a white colour to all samples (in a histogram where x = density and y = gradient magnitude).
cols[iDensity + iGrad * numDensitySamples] = Color.white;
}
}
}
texture.SetPixels(cols);
texture.Apply();
return(texture);
}
public static Texture2D GenerateHistogramTexture(VolumeDataset dataset)
{
int minValue = dataset.GetMinDataValue();
int maxValue = dataset.GetMaxDataValue();
int numSamples = maxValue - minValue + 1;
int[] values = new int[numSamples];
Color[] cols = new Color[numSamples];
Texture2D texture = new Texture2D(numSamples, 1, TextureFormat.RGBAFloat, false);
int maxFreq = 0;
for (int iData = 0; iData < dataset.data.Length; iData++)
{
int dataValue = dataset.data[iData] - minValue;
values[dataValue] += 1;
maxFreq = System.Math.Max(values[dataValue], maxFreq);
}
for (int iSample = 0; iSample < numSamples; iSample++)
{
cols[iSample] = new Color(Mathf.Log10((float)values[iSample]) / Mathf.Log10((float)maxFreq), 0.0f, 0.0f, 1.0f);
}
texture.SetPixels(cols);
texture.Apply();
return(texture);
}
/// <summary>
/// Generates a histogram where:
/// X-axis = the data sample (density) value
/// Y-axis = the sample count (number of data samples with the specified density)
/// </summary>
/// <param name="dataset"></param>
/// <returns></returns>
public static Texture2D GenerateHistogramTexture(VolumeDataset dataset)
{
int minValue = dataset.GetMinDataValue();
int maxValue = dataset.GetMaxDataValue();
int numValues = maxValue - minValue + 1;
float valRangeRecip = 1.0f / (maxValue - minValue);
int numSamples = System.Math.Min(numValues, 1024);
int[] values = new int[numSamples];
Color[] cols = new Color[numSamples];
Texture2D texture = new Texture2D(numSamples, 1, TextureFormat.RGBAFloat, false);
int maxFreq = 0;
for (int iData = 0; iData < dataset.data.Length; iData++)
{
int dataValue = dataset.data[iData];
float tValue = (dataValue - minValue) * valRangeRecip;
int valueIndex = Mathf.RoundToInt((numSamples - 1) * tValue);
values[valueIndex] += 1;
maxFreq = System.Math.Max(values[valueIndex], maxFreq);
}
for (int iSample = 0; iSample < numSamples; iSample++)
{
cols[iSample] = new Color(Mathf.Log10((float)values[iSample]) / Mathf.Log10((float)maxFreq), 0.0f, 0.0f, 1.0f);
}
texture.SetPixels(cols);
texture.Apply();
return(texture);
}
/// <summary>
/// Generates a histogram (but computaion is done on GPU) where:
/// X-axis = the data sample (density) value
/// Y-axis = the sample count (number of data samples with the specified density)
/// </summary>
/// <param name="dataset"></param>
/// <returns></returns>
public static Texture2D GenerateHistogramTextureOnGPU(VolumeDataset dataset)
{
double actualBound = dataset.GetMaxDataValue() - dataset.GetMinDataValue() + 1;
int numValues = System.Convert.ToInt32(dataset.GetMaxDataValue() - dataset.GetMinDataValue() + 1); // removed +1
int sampleCount = System.Math.Min(numValues, 256);
ComputeShader computeHistogram = Resources.Load("ComputeHistogram") as ComputeShader;
int handleInitialize = computeHistogram.FindKernel("HistogramInitialize");
int handleMain = computeHistogram.FindKernel("HistogramMain");
ComputeBuffer histogramBuffer = new ComputeBuffer(sampleCount, sizeof(uint) * 1);
uint[] histogramData = new uint[sampleCount];
Color32[] histogramCols = new Color32[sampleCount];
Texture3D dataTexture = dataset.GetDataTexture();
if (handleInitialize < 0 || handleMain < 0)
{
Debug.LogError("Histogram compute shader initialization failed.");
}
computeHistogram.SetFloat("ValueRange", (float)(numValues - 1));
computeHistogram.SetTexture(handleMain, "VolumeTexture", dataTexture);
computeHistogram.SetBuffer(handleMain, "HistogramBuffer", histogramBuffer);
computeHistogram.SetBuffer(handleInitialize, "HistogramBuffer", histogramBuffer);
computeHistogram.Dispatch(handleInitialize, sampleCount / 8, 1, 1);
computeHistogram.Dispatch(handleMain, (dataTexture.width + 7) / 8, (dataTexture.height + 7) / 8, (dataTexture.depth + 7) / 8);
histogramBuffer.GetData(histogramData);
int maxValue = (int)histogramData.Max();
Texture2D texture = new Texture2D(sampleCount, 1, TextureFormat.RGBA32, false);
for (int iSample = 0; iSample < sampleCount; iSample++)
{
histogramCols[iSample] = new Color(Mathf.Log10((float)histogramData[iSample]) / Mathf.Log10((float)maxValue), 0.0f, 0.0f, 1.0f);
}
texture.SetPixels32(histogramCols);
texture.Apply();
return(texture);
}
public static Texture2D Generate2DHistogramTexture(VolumeDataset dataset)
{
int numSamples = dataset.GetMaxDataValue() + 1;
int numGradientSamples = 256;
Color[] cols = new Color[numSamples * numGradientSamples];
Texture2D texture = new Texture2D(numSamples, numGradientSamples, TextureFormat.RGBAFloat, false);
for (int iCol = 0; iCol < cols.Length; iCol++)
{
cols[iCol] = new Color(0.0f, 0.0f, 0.0f, 0.0f);
}
int maxRange = dataset.GetMaxDataValue() - dataset.GetMinDataValue();
const float maxNormalisedMagnitude = 1.75f; // sqrt(1^2 + 1^2 + 1^2) = swrt(3) = a bit less than 1.75
for (int x = 1; x < dataset.dimX - 1; x++)
{
for (int y = 1; y < dataset.dimY - 1; y++)
{
for (int z = 1; z < dataset.dimZ - 1; z++)
{
int iData = x + y * dataset.dimX + z * (dataset.dimX * dataset.dimY);
int density = dataset.data[iData];
int x1 = dataset.data[(x + 1) + y * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
int x2 = dataset.data[(x - 1) + y * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
int y1 = dataset.data[x + (y + 1) * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
int y2 = dataset.data[x + (y - 1) * dataset.dimX + z * (dataset.dimX * dataset.dimY)];
int z1 = dataset.data[x + y * dataset.dimX + (z + 1) * (dataset.dimX * dataset.dimY)];
int z2 = dataset.data[x + y * dataset.dimX + (z - 1) * (dataset.dimX * dataset.dimY)];
Vector3 grad = new Vector3((x2 - x1) / (float)maxRange, (y2 - y1) / (float)maxRange, (z2 - z1) / (float)maxRange);
cols[density + (int)(grad.magnitude * numGradientSamples / maxNormalisedMagnitude) * numSamples] = Color.white;
}
}
}
texture.SetPixels(cols);
texture.Apply();
return(texture);
}
/// <summary>
/// Generates a histogram where:
/// X-axis = the data sample (density) value
/// Y-axis = the sample count (number of data samples with the specified density)
/// </summary>
/// <param name="dataset"></param>
/// <returns></returns>
public static Texture2D GenerateHistogramTexture(VolumeDataset dataset)
{
float minValue = dataset.GetMinDataValue();
float maxValue = dataset.GetMaxDataValue();
float valueRange = maxValue - minValue;
int numFrequencies = Mathf.Min((int)valueRange, 1024);
int[] frequencies = new int[numFrequencies];
int maxFreq = 0;
float valRangeRecip = 1.0f / (maxValue - minValue);
for (int iData = 0; iData < dataset.data.Length; iData++)
{
float dataValue = dataset.data[iData];
float tValue = (dataValue - minValue) * valRangeRecip;
int freqIndex = (int)(tValue * (numFrequencies - 1));
frequencies[freqIndex] += 1;
maxFreq = System.Math.Max(frequencies[freqIndex], maxFreq);
}
Color[] cols = new Color[numFrequencies];
Texture2D texture = new Texture2D(numFrequencies, 1, TextureFormat.RGBAFloat, false);
for (int iSample = 0; iSample < numFrequencies; iSample++)
{
cols[iSample] = new Color(Mathf.Log10((float)frequencies[iSample]) / Mathf.Log10((float)maxFreq), 0.0f, 0.0f, 1.0f);
}
texture.SetPixels(cols);
//texture.filterMode = FilterMode.Point;
texture.Apply();
return(texture);
}
public override VolumeDataset Import()
{
// Check that the file exists
if (!File.Exists(filePath))
{
Debug.LogError("The file does not exist: " + filePath);
return(null);
}
FileStream fs = new FileStream(filePath, FileMode.Open);
BinaryReader reader = new BinaryReader(fs);
// Check that the dimension does not exceed the file size
long expectedFileSize = (long)(dimX * dimY * dimZ) * GetSampleFormatSize(contentFormat) + skipBytes;
if (fs.Length < expectedFileSize)
{
Debug.LogError($"The dimension({dimX}, {dimY}, {dimZ}) exceeds the file size. Expected file size is {expectedFileSize} bytes, while the actual file size is {fs.Length} bytes");
reader.Close();
fs.Close();
return(null);
}
VolumeDataset dataset = new VolumeDataset();
dataset.datasetName = Path.GetFileName(filePath);
dataset.dimX = dimX;
dataset.dimY = dimY;
dataset.dimZ = dimZ;
// Skip header (if any)
if (skipBytes > 0)
{
reader.ReadBytes(skipBytes);
}
int uDimension = dimX * dimY * dimZ;
dataset.data = new int[uDimension];
// Read the data/sample values
for (int i = 0; i < uDimension; i++)
{
dataset.data[i] = ReadDataValue(reader);
}
Debug.Log("Loaded dataset in range: " + dataset.GetMinDataValue() + " - " + dataset.GetMaxDataValue());
reader.Close();
fs.Close();
return(dataset);
}
public VolumeDataset Import() //fills VolumeDataset object
{
var extension = Path.GetExtension(filePath);
if (!File.Exists(filePath))
{
Debug.LogError("The file does not exist: " + filePath);
return(null);
}
fileContentLines = File.ReadLines(filePath).Where(x => x.Trim(' ') != "").ToArray();
fileContentIndex = 0;
ReadSystemTitle();
ReadLatticeConstant();
ReadLatticeVectors();
GetVolume();
ReadAtomNames();
ReadAtomSum();
ReadCoordinateSystemType();
ReadCoordinates();
if (isDirect)
{
cartesiancoordinatebasisCells = ToCartesian();
}
ReadDimensions();
dimTotal = dimArray[0] * dimArray[1] * dimArray[2];
nx = dimArray[0];
ny = dimArray[1];
nz = dimArray[2]; // dimensions
CalculateDataLines();
ReadGrid();
VolumeDataset dataFiller = new VolumeDataset(); //volume object then gets sent to VolumeObjectFactory
dataFiller.datasetName = fileName;
dataFiller.filePath = filePath;
dataFiller.dimX = nx;
dataFiller.dimY = ny;
dataFiller.dimZ = nz;
dataFiller.volumeScale = (float)(1 / volumeScale);
dataFiller.data = new float[dimTotal];
volumeScaledData = new float[dimTotal];
for (int ix = 0; ix < nx; ix++)
{
for (int iy = 0; iy < ny; iy++)
{
for (int iz = 0; iz < nz; iz++)
{
int itr = (iz * nx * ny) + (iy * nx) + ix;
volumeScaledData[itr] = (float)dataGrid[itr] * (float)dataFiller.volumeScale * (float)0.036749309; //density * volumescale * e_units
}
}
}
for (int i = 0; i < dimTotal; i++)
{
dataFiller.data[i] = dataGrid[i];
}
Debug.Log("Loaded dataset in range: " + dataFiller.GetMinDataValue() + " - " + dataFiller.GetMaxDataValue());
return(dataFiller);
}
public override VolumeDataset Import()
{
VolumeDataset dataset = new VolumeDataset();
dataset.dimX = dimX;
dataset.dimY = dimY;
dataset.dimZ = dimZ;
FileStream fs = new FileStream(filePath, FileMode.Open);
BinaryReader reader = new BinaryReader(fs);
if (skipBytes > 0)
{
reader.ReadBytes(skipBytes);
}
int uDimension = dimX * dimY * dimZ;
dataset.data = new int[uDimension];
int val = 0;
for (int i = 0; i < uDimension; i++)
{
switch (contentFormat)
{
case DataContentFormat.Int8:
val = (int)reader.ReadSByte();
break;
case DataContentFormat.Int16:
val = (int)reader.ReadInt16();
break;
case DataContentFormat.Int32:
val = (int)reader.ReadInt32();
break;
case DataContentFormat.Uint8:
val = (int)reader.ReadByte();
break;
case DataContentFormat.Uint16:
val = (int)reader.ReadUInt16();
break;
case DataContentFormat.Uint32:
val = (int)reader.ReadUInt32();
break;
}
dataset.data[i] = val;
}
Debug.Log("Loaded dataset in range: " + dataset.GetMinDataValue() + " - " + dataset.GetMaxDataValue());
return(dataset);
}