ImageExtensions (DiffSharp)

ImageExtensions Module

Namespace: DiffSharp
Assembly: DiffSharp.Data.dll

Type extensions

Type extension	Description
`Tensor.loadImage (fileName, ?normalize, ?resize, ?device, ?dtype, ?backend)` Full Usage: `Tensor.loadImage (fileName, ?normalize, ?resize, ?device, ?dtype, ?backend)` Parameters: fileName : `string` ?normalize : `bool` ?resize : `int * int` ?device : `Device` ?dtype : `Dtype` ?backend : `Backend` Returns: `Tensor`	Load an image file and return it as a tensor Extended Type: `Tensor` fileName : `string` ?normalize : `bool` ?resize : `int * int` ?device : `Device` ?dtype : `Dtype` ?backend : `Backend` Returns: `Tensor`
`dsharp.loadImage (fileName, ?normalize, ?resize, ?device, ?dtype, ?backend)` Full Usage: `dsharp.loadImage (fileName, ?normalize, ?resize, ?device, ?dtype, ?backend)` Parameters: fileName : `string` - The file name of the image to load. ?normalize : `bool` - If True, shift the image to the range (0, 1). ?resize : `int * int` - An optional new size for the image. ?device : `Device` - The desired device of returned tensor. Default: if None, uses Device.Default. ?dtype : `Dtype` - The desired element type of returned tensor. Default: if None, uses Dtype.Default. ?backend : `Backend` - The desired backend of returned tensor. Default: if None, uses Backend.Default. Returns: `Tensor`	Load an image file as a tensor. Extended Type: `dsharp` fileName : `string` The file name of the image to load. ?normalize : `bool` If True, shift the image to the range (0, 1). ?resize : `int * int` An optional new size for the image. ?device : `Device` The desired device of returned tensor. Default: if None, uses Device.Default. ?dtype : `Dtype` The desired element type of returned tensor. Default: if None, uses Dtype.Default. ?backend : `Backend` The desired backend of returned tensor. Default: if None, uses Backend.Default. Returns: `Tensor`
`this.saveImage (fileName, ?pixelMin, ?pixelMax, ?normalize, ?resize, ?gridCols)` Full Usage: `this.saveImage (fileName, ?pixelMin, ?pixelMax, ?normalize, ?resize, ?gridCols)` Parameters: fileName : `string` ?pixelMin : `double` ?pixelMax : `double` ?normalize : `bool` ?resize : `int * int` ?gridCols : `int`	Save tensor to an image file using png or jpg format Extended Type: `Tensor` fileName : `string` ?pixelMin : `double` ?pixelMax : `double` ?normalize : `bool` ?resize : `int * int` ?gridCols : `int`
`dsharp.saveImage (input, fileName, ?pixelMin, ?pixelMax, ?normalize, ?resize, ?gridCols)` Full Usage: `dsharp.saveImage (input, fileName, ?pixelMin, ?pixelMax, ?normalize, ?resize, ?gridCols)` Parameters: input : `Tensor` - The input tensor. fileName : `string` - The name of the file to save to. ?pixelMin : `double` - The minimum pixel value. ?pixelMax : `double` - The maximum pixel value. ?normalize : `bool` - If True, shift the image to the range (0, 1), by the min and max values specified by range. ?resize : `int * int` - An optional new size for the image. ?gridCols : `int` - Number of columns of images in the grid.	Save a given Tensor into an image file. If the input tensor has 4 dimensions, then make a single image grid. Extended Type: `dsharp` input : `Tensor` The input tensor. fileName : `string` The name of the file to save to. ?pixelMin : `double` The minimum pixel value. ?pixelMax : `double` The maximum pixel value. ?normalize : `bool` If True, shift the image to the range (0, 1), by the min and max values specified by range. ?resize : `int * int` An optional new size for the image. ?gridCols : `int` Number of columns of images in the grid.