vkernel2d(1) [debian man page]
vkernel2d(1) General Commands Manual vkernel2d(1) NAME
vkernel2d - vkernel2d - construct convolution kernels SYNOPSIS
Detailed Description vkernel2d - construct convolution kernels Description construct convolution kernels to be used in 'vconvolve2d' or 'vconvolve3d'. The kernels can be used for texture analysis as proposed by Laws et al. Reference R.M. Haralick, L.G. Shapiro: Computer and Robot Vision. Vol.1. Addison-Wesley, 1992. (pp. 467-468). Usage vkernel2d Parameters: -in input image -out output image -k1 kernel 1 (l3|e3|s3|l5|e5|s5|w5|r5). Default: l3 -k2 kernel 2 (l3|e3|s3|l5|e5|s5|w5|r5). Default: l3 Examples Known bugs none. Author: G.Lohmann, MPI-CBS, 2004 Author Generated automatically by Doxygen for VIA - Volumetric Image Analysis from the source code. VIA - Volumetric Image Analysis Fri Feb 17 2012 vkernel2d(1)
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MPSCNNConvolutionTransposeNode(3) MetalPerformanceShaders.framework MPSCNNConvolutionTransposeNode(3) NAME
MPSCNNConvolutionTransposeNode SYNOPSIS
#import <MPSNNGraphNodes.h> Inherits MPSCNNConvolutionNode. Instance Methods (nonnull instancetype) - initWithSource:convolutionGradientState:weights: Class Methods (nonnull instancetype) + nodeWithSource:convolutionGradientState:weights: Properties MPSCNNConvolutionGradientStateNode * convolutionGradientState Detailed Description A MPSNNFilterNode representing a MPSCNNConvolutionTranspose kernel Method Documentation - (nonnull instancetype) initWithSource: (MPSNNImageNode *__nonnull) sourceNode(MPSCNNConvolutionGradientStateNode *__nullable) convolutionGradientState(nonnull id< MPSCNNConvolutionDataSource >) weights Init a node representing a MPSCNNConvolutionTransposeNode kernel Parameters: sourceNode The MPSNNImageNode representing the source MPSImage for the filter convolutionGradientState When the convolution transpose is used to 'undo' an earlier convolution in the graph, it is generally desired that the output image be the same size as the input image to the earlier convolution. You may optionally specify this size identity by passing in the MPSCNNConvolutionGradientState node here. weights A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases. Returns: A new MPSNNFilter node for a MPSCNNConvolutionTransposeNode kernel. + (nonnull instancetype) nodeWithSource: (MPSNNImageNode *__nonnull) sourceNode(MPSCNNConvolutionGradientStateNode *__nullable) convolutionGradientState(nonnull id< MPSCNNConvolutionDataSource >) weights Init an autoreleased not representing a MPSCNNConvolutionTransposeNode kernel Parameters: sourceNode The MPSNNImageNode representing the source MPSImage for the filter convolutionGradientState When the convolution transpose is used to 'undo' an earlier convolution in the graph, it is generally desired that the output image be the same size as the input image to the earlier convolution. You may optionally specify this size identity by passing in the MPSNNConvolutionGradientStateNode created by the convolution node here. weights A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases. Returns: A new MPSNNFilter node for a MPSCNNConvolutionTransposeNode kernel. Property Documentation - (MPSCNNConvolutionGradientStateNode*) convolutionGradientState [read], [nonatomic], [assign] unavailable Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNConvolutionTransposeNode(3)