Uses of Class
net.preibisch.mvrecon.process.cuda.Block

Packages that use Block

Package	Description
net.preibisch.mvrecon.process.cuda
net.preibisch.mvrecon.process.deconvolution
net.preibisch.mvrecon.process.deconvolution.iteration.sequential

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

Classes in net.preibisch.mvrecon.process.cuda with type parameters of type Block

Modifier and Type	Interface	Description
interface	BlockGenerator<T extends Block>

Methods in net.preibisch.mvrecon.process.cuda that return types with arguments of type Block

Modifier and Type	Method	Description
ArrayList<Block>	BlockGeneratorFixedSizePrecise.divideIntoBlocks(long[] imgSize, long[] kernelSize)	Divides an image into blocks
ArrayList<Block>	BlockGeneratorVariableSizePrecise.divideIntoBlocks(long[] imgSize, long[] kernelSize)	Divides an image into blocks
ArrayList<Block>	BlockGeneratorVariableSizeSimple.divideIntoBlocks(long[] imgSize, long[] kernelSize)	Divides an image into blocks
static List<List<Block>>	BlockSorter.sortBlocksBySmallestFootprint(List<Block> blocks, net.imglib2.Interval psi, int minRequiredBlocks)	Here are some assumptions: - the first block is in the top/left/upper... corner - the effective size of this block was used to compute the number of blocks - all blocks have the same dimensions, tightly stacked next to each other - only the effective blocksize of the last blocks in each dimension can be smaller

Method parameters in net.preibisch.mvrecon.process.cuda with type arguments of type Block

Modifier and Type	Method	Description
static List<List<Block>>	BlockSorter.sortBlocksBySmallestFootprint(List<Block> blocks, net.imglib2.Interval psi, int minRequiredBlocks)	Here are some assumptions: - the first block is in the top/left/upper... corner - the effective size of this block was used to compute the number of blocks - all blocks have the same dimensions, tightly stacked next to each other - only the effective blocksize of the last blocks in each dimension can be smaller

Uses of Block in net.preibisch.mvrecon.process.deconvolution

Methods in net.preibisch.mvrecon.process.deconvolution that return types with arguments of type Block

Modifier and Type	Method	Description
List<List<Block>>	DeconView.getNonInterferingBlocks()

Methods in net.preibisch.mvrecon.process.deconvolution with parameters of type Block

Modifier and Type	Method	Description
static boolean	DeconView.blockContainsContent(Block blockStruct, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> weight, ExecutorService service)

Method parameters in net.preibisch.mvrecon.process.deconvolution with type arguments of type Block

Modifier and Type	Method	Description
static net.imglib2.util.Pair<Integer,Integer>	DeconView.filterBlocksForContent(List<List<Block>> blocksList, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> weight, ExecutorService service)
protected static final void	MultiViewDeconvolution.writeBack(net.imglib2.img.Img<net.imglib2.type.numeric.real.FloatType> psi, Vector<net.imglib2.util.Pair<net.imglib2.util.Pair<Integer,Block>,net.imglib2.img.Img<net.imglib2.type.numeric.real.FloatType>>> blockWritebackQueue)

Uses of Block in net.preibisch.mvrecon.process.deconvolution.iteration.sequential

Methods in net.preibisch.mvrecon.process.deconvolution.iteration.sequential with parameters of type Block

Modifier and Type	Method	Description
ComputeBlockThread.IterationStatistics	ComputeBlockSeqThread.runIteration(DeconView view, Block block, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> imgBlock, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> weightBlock, float maxIntensityView, net.imglib2.img.array.ArrayImg<net.imglib2.type.numeric.real.FloatType,?> kernel1, net.imglib2.img.array.ArrayImg<net.imglib2.type.numeric.real.FloatType,?> kernel2)	run an iteration on the block
ComputeBlockThread.IterationStatistics	ComputeBlockSeqThreadCPU.runIteration(DeconView view, Block block, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> imgBlock, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> weightBlock, float maxIntensityView, net.imglib2.img.array.ArrayImg<net.imglib2.type.numeric.real.FloatType,?> kernel1, net.imglib2.img.array.ArrayImg<net.imglib2.type.numeric.real.FloatType,?> kernel2)
ComputeBlockThread.IterationStatistics	ComputeBlockSeqThreadCUDA.runIteration(DeconView view, Block block, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> imgBlock, net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> weightBlock, float maxIntensityView, net.imglib2.img.array.ArrayImg<net.imglib2.type.numeric.real.FloatType,?> kernel1, net.imglib2.img.array.ArrayImg<net.imglib2.type.numeric.real.FloatType,?> kernel2)