/// <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; }