private static MLArray CreateTestStruct() {
MLStructure outStruct = new MLStructure("kinectData", new int[] { 1, 1 });
double[] myRealNums = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 };
// new MLInt64("IA", myRealNums, myImagNums, length);
// IA: matlab Name (blank for struct)
// realNumbers => Double array of the real parts
// imagNumbers => Double array of the img parts
// length => dimension of the matrix
outStruct["skelData", 0] = new MLDouble("", myRealNums, 2);
outStruct["dateHeader", 0] = new MLChar("", "January 29th... etc...");
MLStructure groundStruct = new MLStructure("", new int[] { 1, 1 });
groundStruct["height", 0] = new MLDouble("", new double[] { 0.68 }, 1); // metres?
groundStruct["gpVector", 0] = new MLDouble("", new double[] {1.4, 1, 1, 1}, 4); //metres?
groundStruct["kinectTilt", 0] = new MLInt16("", new Int16[]{ -15 }, 1); //degrees
outStruct["groundPlaneData", 0] = groundStruct;
return outStruct;
}
private static MLArray CreateTestStruct()
{
MLStructure outStruct = new MLStructure("kinectData", new int[] { 1, 1 });
double[] myRealNums = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 };
// new MLInt64("IA", myRealNums, myImagNums, length);
// IA: matlab Name (blank for struct)
// realNumbers => Double array of the real parts
// imagNumbers => Double array of the img parts
// length => dimension of the matrix
outStruct["skelData", 0] = new MLDouble("", myRealNums, 2);
outStruct["dateHeader", 0] = new MLChar("", "January 29th... etc...");
MLStructure groundStruct = new MLStructure("", new int[] { 1, 1 });
groundStruct["height", 0] = new MLDouble("", new double[] { 0.68 }, 1); // metres?
groundStruct["gpVector", 0] = new MLDouble("", new double[] { 1.4, 1, 1, 1 }, 4); //metres?
groundStruct["kinectTilt", 0] = new MLInt16("", new Int16[] { -15 }, 1); //degrees
outStruct["groundPlaneData", 0] = groundStruct;
return(outStruct);
}
/// <summary>
/// Reads <c>miMATRIX</c> from the input stream.
/// </summary>
/// <remarks>
/// If reading was not finished (which is normal for filtered results)
/// returns <c>null</c>.
/// </remarks>
/// <param name="buf">The <c>BinaryReader</c> input stream.</param>
/// <param name="isRoot">When <c>true</c> informs that if this is a top level
/// matrix.</param>
/// <returns><c>MLArray</c> or <c>null</c> if matrix does not match <c>filter</c></returns>
private MLArray ReadMatrix(Stream buf, bool isRoot)
{
// result
MLArray mlArray = null;
ISMatTag tag;
// read flags
int[] flags = ReadFlags(buf);
int attributes = (flags.Length != 0) ? flags[0] : 0;
int nzmax = (flags.Length != 0) ? flags[1] : 0;
int type = attributes & 0xff;
// read Array dimension
int[] dims = ReadDimension(buf);
// read Array name
string name = ReadName(buf);
// If this array is filtered out return immediately
if (isRoot && !_filter.Matches(name))
{
return(null);
}
// read data
switch (type)
{
case MLArray.mxSTRUCT_CLASS:
MLStructure mlStruct = new MLStructure(name, dims, type, attributes);
BinaryReader br = new BinaryReader(buf);
// field name length - this subelement always uses the compressed data element format
tag = new ISMatTag(br.BaseStream);
int maxlen = br.ReadInt32();
// Read fields data as Int8
tag = new ISMatTag(br.BaseStream);
// calculate number of fields
int numOfFields = tag.Size / maxlen;
// padding after field names
int padding = (tag.Size % 8) != 0 ? 8 - tag.Size % 8 : 0;
string[] fieldNames = new string[numOfFields];
for (int i = 0; i < numOfFields; i++)
{
byte[] names = new byte[maxlen];
br.Read(names, 0, names.Length);
fieldNames[i] = ZeroEndByteArrayToString(names);
}
br.ReadBytes(padding);
// read fields
for (int index = 0; index < mlStruct.M * mlStruct.N; index++)
{
for (int i = 0; i < numOfFields; i++)
{
// read matrix recursively
tag = new ISMatTag(br.BaseStream);
if (tag.Size > 0)
{
MLArray fieldValue = ReadMatrix(br.BaseStream, false);
mlStruct[fieldNames[i], index] = fieldValue;
}
else
{
mlStruct[fieldNames[i], index] = new MLEmptyArray();
}
}
}
mlArray = mlStruct;
//br.Close();
break;
case MLArray.mxCELL_CLASS:
MLCell cell = new MLCell(name, dims, type, attributes);
for (int i = 0; i < cell.M * cell.N; i++)
{
tag = new ISMatTag(buf);
if (tag.Size > 0)
{
MLArray cellmatrix = ReadMatrix(buf, false);
cell[i] = cellmatrix;
}
else
{
cell[i] = new MLEmptyArray();
}
}
mlArray = cell;
break;
case MLArray.mxDOUBLE_CLASS:
mlArray = new MLDouble(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <double>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <double>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxSINGLE_CLASS:
mlArray = new MLSingle(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <float>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <float>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxUINT8_CLASS:
mlArray = new MLUInt8(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <byte>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <byte>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxINT8_CLASS:
mlArray = new MLInt8(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <sbyte>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <sbyte>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxUINT16_CLASS:
mlArray = new MLUInt16(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <ushort>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <ushort>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxINT16_CLASS:
mlArray = new MLInt16(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <short>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <short>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxUINT32_CLASS:
mlArray = new MLUInt32(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <uint>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <uint>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxINT32_CLASS:
mlArray = new MLInt32(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <int>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <int>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxUINT64_CLASS:
mlArray = new MLUInt64(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <ulong>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <ulong>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxINT64_CLASS:
mlArray = new MLInt64(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <long>)mlArray).RealByteBuffer,
(IByteStorageSupport)mlArray);
// read complex
if (mlArray.IsComplex)
{
tag = new ISMatTag(buf);
tag.ReadToByteBuffer(((MLNumericArray <long>)mlArray).ImaginaryByteBuffer,
(IByteStorageSupport)mlArray);
}
break;
case MLArray.mxCHAR_CLASS:
MLChar mlchar = new MLChar(name, dims, type, attributes);
//read real
tag = new ISMatTag(buf);
char[] ac = tag.ReadToCharArray();
for (int i = 0; i < ac.Length; i++)
{
mlchar.SetChar(ac[i], i);
}
mlArray = mlchar;
break;
case MLArray.mxSPARSE_CLASS:
MLSparse sparse = new MLSparse(name, dims, attributes, nzmax);
// read ir (row indices)
tag = new ISMatTag(buf);
int[] ir = tag.ReadToIntArray();
// read jc (column indices)
tag = new ISMatTag(buf);
int[] jc = tag.ReadToIntArray();
// read pr (real part)
tag = new ISMatTag(buf);
double[] ad1 = tag.ReadToDoubleArray();
int n = 0;
for (int i = 0; i < ir.Length; i++)
{
if (i < sparse.N)
{
n = jc[i];
}
sparse.SetReal(ad1[i], ir[i], n);
}
//read pi (imaginary part)
if (sparse.IsComplex)
{
tag = new ISMatTag(buf);
double[] ad2 = tag.ReadToDoubleArray();
int n1 = 0;
for (int i = 0; i < ir.Length; i++)
{
if (i < sparse.N)
{
n1 = jc[i];
}
sparse.SetImaginary(ad2[i], ir[i], n1);
}
}
mlArray = sparse;
break;
default:
throw new MatlabIOException("Incorrect Matlab array class: " + MLArray.TypeToString(type));
}
return(mlArray);
}