Uses of Interface
net.preibisch.mvrecon.process.cuda.CUDASeparableConvolution

Packages that use CUDASeparableConvolution

Package	Description
net.preibisch.mvrecon.process.cuda
net.preibisch.mvrecon.process.interestpointdetection.methods.dog

Uses of CUDASeparableConvolution in net.preibisch.mvrecon.process.cuda

Methods in net.preibisch.mvrecon.process.cuda with parameters of type CUDASeparableConvolution

Modifier and Type	Method	Description
static final boolean	CUDASeparableConvolutionFunctions.gauss(float[] img, int[] dim, double[] sigma, CUDASeparableConvolutionFunctions.OutOfBounds oobs, float oobsValue, CUDASeparableConvolution cuda, int cudaDeviceId)	Compute Gaussian convolution
static final boolean	CUDASeparableConvolutionFunctions.gauss(float[] img, int[] dim, double sigma, CUDASeparableConvolutionFunctions.OutOfBounds oobs, float oobsValue, CUDASeparableConvolution cuda, int cudaDeviceId)	Compute Gaussian convolution

Constructors in net.preibisch.mvrecon.process.cuda with parameters of type CUDASeparableConvolution

Modifier	Constructor	Description
	CUDASeparableConvolutionFunctions(CUDASeparableConvolution cuda, int cudaDeviceId)

Uses of CUDASeparableConvolution in net.preibisch.mvrecon.process.interestpointdetection.methods.dog

Fields in net.preibisch.mvrecon.process.interestpointdetection.methods.dog declared as CUDASeparableConvolution

Modifier and Type	Field	Description
CUDASeparableConvolution	DoGParameters.cuda

Methods in net.preibisch.mvrecon.process.interestpointdetection.methods.dog with parameters of type CUDASeparableConvolution

Modifier and Type	Method	Description
static <T extends net.imglib2.type.numeric.RealType<T>> ArrayList<InterestPoint>	DoGImgLib2.computeDoG(net.imglib2.RandomAccessible<T> input, net.imglib2.RandomAccessible<T> mask, net.imglib2.Interval interval, double sigma, double threshold, int localization, boolean findMin, boolean findMax, double minIntensity, double maxIntensity, int[] blockSize, ExecutorService service, CUDASeparableConvolution cuda, CUDADevice cudaDevice, boolean accurateCUDA, double percentGPUMem)
static net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType>	DoGImgLib2.computeGaussCUDA(net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> inputFloatNonZeroMin, double[] sigma, CUDASeparableConvolution cuda, CUDADevice cudaDevice, boolean accurateCUDA, double percentGPUMem)