mpsimagelaplacian(3) [mojave man page]
MPSImageLaplacian(3) MetalPerformanceShaders.framework MPSImageLaplacian(3) NAME
MPSImageLaplacian SYNOPSIS
#import <MPSImageConvolution.h> Inherits MPSUnaryImageKernel. Properties float bias Additional Inherited Members Detailed Description The MPSImageLaplacian is an optimized variant of the MPSImageConvolution filter provided primarily for ease of use. This filter uses an optimized convolution filter with a 3 x 3 kernel with the following weights: [ 0 1 0 1 -4 1 0 1 0 ] The optimized convolution filter used by MPSImageLaplacian can also be used by creating a MPSImageConvolution object with kernelWidth = 3, kernelHeight = 3 and weights as specified above. Property Documentation - bias [read], [write], [nonatomic], [assign] The bias is a value to be added to convolved pixel before it is converted back to the storage format. It can be used to convert negative values into a representable range for a unsigned MTLPixelFormat. For example, many edge detection filters produce results in the range [-k,k]. By scaling the filter weights by 0.5/k and adding 0.5, the results will be in range [0,1] suitable for use with unorm formats. It can be used in combination with renormalization of the filter weights to do video ranging as part of the convolution effect. It can also just be used to increase the brightness of the image. Default value is 0.0f. Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSImageLaplacian(3)
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MPSCNNConvolutionNode(3) MetalPerformanceShaders.framework MPSCNNConvolutionNode(3) NAME
MPSCNNConvolutionNode SYNOPSIS
#import <MPSNNGraphNodes.h> Inherits MPSNNFilterNode. Inherited by MPSCNNBinaryConvolutionNode, MPSCNNConvolutionTransposeNode, and MPSCNNFullyConnectedNode. Instance Methods (nonnull instancetype) - initWithSource:weights: Class Methods (nonnull instancetype) + nodeWithSource:weights: Properties MPSCNNConvolutionGradientStateNode * convolutionGradientState Method Documentation - (nonnull instancetype) initWithSource: (MPSNNImageNode *__nonnull) sourceNode(nonnull id< MPSCNNConvolutionDataSource >) weights Init a node representing a MPSCNNConvolution kernel Parameters: sourceNode The MPSNNImageNode representing the source MPSImage for the filter 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. If it is used for training, it may not have a neuron embedded in the convolution descriptor. Returns: A new MPSNNFilter node for a MPSCNNConvolution kernel. Implemented in MPSCNNFullyConnectedNode. + (nonnull instancetype) nodeWithSource: (MPSNNImageNode *__nonnull) sourceNode(nonnull id< MPSCNNConvolutionDataSource >) weights Init an autoreleased not representing a MPSCNNConvolution kernel Parameters: sourceNode The MPSNNImageNode representing the source MPSImage for the filter 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. If it is used for training, it may not have a neuron embedded in the convolution descriptor. Returns: A new MPSNNFilter node for a MPSCNNConvolution kernel. Implemented in MPSCNNFullyConnectedNode. Property Documentation - (MPSCNNConvolutionGradientStateNode*) convolutionGradientState [read], [nonatomic], [assign] A node to represent a MPSCNNConvolutionGradientState object Use this if the convolution is mirrored by a convolution transpose node later on in the graph to make sure that the size of the image returned from the convolution transpose matches the size of the image passed in to this node. Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNConvolutionNode(3)