Python Wrapper

Python Wrapper of Simd Library. More...

Data Structures
class	CpuDesc
	Describes type of description which can return function Simd.Lib.CpuDesc. More...
class	CpuInfo
	Describes type of information which can return function Simd.Lib.CpuInfo. More...
class	FrameFormat
	Describes frame format type. More...
class	ImageFile
	Describes formats of image file. More...
class	PixelFormat
	Describes pixel format type. More...
class	Position
	Describes the position of the child sub image relative to the parent image. More...
class	ResizeChannel
	Describes resized image channel types. More...
class	ResizeMethod
	Describes methods used in order to resize image. More...
class	TensorFormat
	4D-tensor format type. More...
class	TensorData
	Describes tensor data type. More...
class	WarpAffineFlags
	Describes Warp Affine flags. More...
class	YuvType
	Describes YUV format type. More...
class	Lib
	A wrapper around Simd Library API. More...
class	Image
	The Image class provides storage and manipulation of images. More...
class	ImageFrame
	The ImageFrame class provides storage and manipulation of frames (multiplanar images). More...

Functions
Image	AbsGradientSaturatedSum (Image src, Image dst)
	Gets 8-bit gray image saturated sum of absolute gradient for every point of source 8-bit gray image. More...
def	Resize (Image src, Image dst, method=Simd.ResizeMethod.Bilinear)
	The function performs image resizing. More...
Image	Resized (Image src, int width, int height, method=Simd.ResizeMethod.Bilinear)
	The function gets resized image. More...
def	SynetSetInput (Image src, array.array('f') lower, array.array('f') upper, ctypes.c_void_p dst, int channels, Simd.TensorFormat format)
	Sets image to the input of neural network of Synet Framework. More...
def	WarpAffine (Image src, array.array('f') mat, Image dst, flags=(Simd.WarpAffineFlags.ChannelByte|Simd.WarpAffineFlags.InterpBilinear|Simd.WarpAffineFlags.BorderConstant), border=array.array('B', []))
	Performs warp affine for current image. More...

Detailed Description

Python Wrapper of Simd Library.

Function Documentation

AbsGradientSaturatedSum()

Image AbsGradientSaturatedSum	(	Image	src,
		Image	dst
	)

Gets 8-bit gray image saturated sum of absolute gradient for every point of source 8-bit gray image.

Parameters

src	- an input 8-bit gray image.
dst	- an output 8-bit gray image with sum of absolute gradient. Can be empty.

Returns

- output 8-bit gray image with sum of absolute gradient.

Resize()

def Resize	(	Image	src,
		Image	dst,
			method = Simd.ResizeMethod.Bilinear
	)

The function performs image resizing.

Parameters

src	- an original input image.
dst	- a resized output image.
method	- a resizing method. By default it is equal to Simd.ResizeMethod.Bilinear.

Resized()

Image Resized	(	Image	src,
		int	width,
		int	height,
			method = Simd.ResizeMethod.Bilinear
	)

The function gets resized image.

Parameters

src	- an original input image.
width	- a width of output image.
height	- a height of output image.
method	- a resizing method. By default it is equal to Simd.ResizeMethod.Bilinear.

Returns

- resized output image.

SynetSetInput()

def SynetSetInput	(	Image	src,
		array.array('f')	lower,
		array.array('f')	upper,
		ctypes.c_void_p	dst,
		int	channels,
		Simd.TensorFormat	format
	)

Sets image to the input of neural network of Synet Framework.

Parameters

src	- an input image. There are following supported pixel format: aSimd.PixelFormat.Gray8, Simd.PixelFormat.Bgr24, Simd.PixelFormat.Bgra32, Simd.PixelFormat.Rgb24, Simd.PixelFormat.Rgba32.
lower	- an array with lower bound of values of the output tensor. The size of the array have to correspond number of channels in the output image tensor.
upper	- an array with upper bound of values of the output tensor. The size of the array have to correspond number of channels in the output image tensor.
dst	- a pointer to the output 32-bit float image tensor.
channels	- a number of channels in the output image tensor. It can be 1 or 3.
format	- a format of output image tensor. There are supported following tensor formats: Simd.TensorFormat.Nchw, Simd.TensorFormat.Nhwc.

WarpAffine()

def WarpAffine	(	Image	src,
		array.array('f')	mat,
		Image	dst,
			flags = (Simd.WarpAffineFlags.ChannelByte | Simd.WarpAffineFlags.InterpBilinear | Simd.WarpAffineFlags.BorderConstant),
			border = array.array('B', [])
	)

Performs warp affine for current image.

Parameters

src	- an input image to warp affine.
mat	- a pointer to 2x3 matrix with coefficients of affine warp.
dst	- a background input/output image.
flags	- a flags of algorithm parameters. By default is equal to Simd.WarpAffineFlags.ChannelByte | Simd.WarpAffineFlags.InterpBilinear | Simd.WarpAffineFlags.BorderConstant.
border	- an array with color of border. The size of the array must be equal to channels. It parameter is actual for Simd.WarpAffineFlags.BorderConstant flag.