/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="retainedVariance"></param>
public PCA(InputArray data, InputArray mean, PCAFlag flags, double retainedVariance)
{
if (data == null)
throw new ArgumentNullException("data");
if (mean == null)
throw new ArgumentNullException("mean");
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
ptr = NativeMethods.core_PCA_new3(data.CvPtr, mean.CvPtr, (int)flags, retainedVariance);
}
/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="maxComponents"></param>
public PCA(InputArray data, InputArray mean, PCAFlag flags, int maxComponents = 0)
{
if (data == null)
throw new ArgumentNullException("data");
if (mean == null)
throw new ArgumentNullException("mean");
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
ptr = NativeMethods.core_PCA_new2(data.CvPtr, mean.CvPtr, (int)flags, maxComponents);
}
/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="retainedVariance"></param>
public PCA(InputArray data, InputArray mean, PCAFlag flags, double retainedVariance)
{
if (data == null)
{
throw new ArgumentNullException("data");
}
if (mean == null)
{
throw new ArgumentNullException("mean");
}
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
ptr = NativeMethods.core_PCA_new3(data.CvPtr, mean.CvPtr, (int)flags, retainedVariance);
}
/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="maxComponents"></param>
public PCA(InputArray data, InputArray mean, PCAFlag flags, int maxComponents = 0)
{
if (data == null)
{
throw new ArgumentNullException("data");
}
if (mean == null)
{
throw new ArgumentNullException("mean");
}
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
ptr = NativeMethods.core_PCA_new2(data.CvPtr, mean.CvPtr, (int)flags, maxComponents);
}
/// <summary>
/// operator that performs PCA. The previously stored data, if any, is released
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="retainedVariance"></param>
/// <returns></returns>
public PCA ComputeVar(InputArray data, InputArray mean, PCAFlag flags, double retainedVariance)
{
if (disposed)
{
throw new ObjectDisposedException("PCA");
}
if (data == null)
{
throw new ArgumentNullException("data");
}
if (mean == null)
{
throw new ArgumentNullException("mean");
}
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
NativeMethods.core_PCA_computeVar(ptr, data.CvPtr, mean.CvPtr, (int)flags, retainedVariance);
return(this);
}
/// <summary>
/// operator that performs PCA. The previously stored data, if any, is released
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="maxComponents"></param>
/// <returns></returns>
public PCA Compute(InputArray data, InputArray mean, PCAFlag flags, int maxComponents = 0)
{
if (disposed)
{
throw new ObjectDisposedException("PCA");
}
if (data == null)
{
throw new ArgumentNullException("data");
}
if (mean == null)
{
throw new ArgumentNullException("mean");
}
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
NativeMethods.core_PCA_operatorThis(ptr, data.CvPtr, mean.CvPtr, (int)flags, maxComponents);
return(this);
}
public static extern void cvCalcPCA(IntPtr proj, IntPtr avg, IntPtr eigenvalues, IntPtr eigenvects, PCAFlag flag);
/// <summary>
/// operator that performs PCA. The previously stored data, if any, is released
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="retainedVariance"></param>
/// <returns></returns>
public PCA ComputeVar(InputArray data, InputArray mean, PCAFlag flags, double retainedVariance)
{
if (disposed)
throw new ObjectDisposedException("PCA");
if (data == null)
throw new ArgumentNullException("data");
if (mean == null)
throw new ArgumentNullException("mean");
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
NativeMethods.core_PCA_computeVar(ptr, data.CvPtr, mean.CvPtr, (int)flags, retainedVariance);
return this;
}
/// <summary>
/// operator that performs PCA. The previously stored data, if any, is released
/// </summary>
/// <param name="data"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="maxComponents"></param>
/// <returns></returns>
public PCA Compute(InputArray data, InputArray mean, PCAFlag flags, int maxComponents = 0)
{
if (disposed)
throw new ObjectDisposedException("PCA");
if (data == null)
throw new ArgumentNullException("data");
if (mean == null)
throw new ArgumentNullException("mean");
data.ThrowIfDisposed();
mean.ThrowIfDisposed();
NativeMethods.core_PCA_operatorThis(ptr, data.CvPtr, mean.CvPtr, (int)flags, maxComponents);
return this;
}
