Package boofcv.deepboof

Class DataManipulationOps

java.lang.Object

boofcv.deepboof.DataManipulationOps

public class DataManipulationOps
extends Object

Functions for manipulating data by transforming it or converting its format. For use with DeepBoof

Constructor Summary

Constructors

Constructor	Description
DataManipulationOps()

Method Summary

Modifier and Type	Method	Description
static Kernel1D_F32	create1D_F32(double[] kernel)	Converts the double array into a 1D float kernel
static void	imageToTensor(Planar<GrayF32> input, deepboof.tensors.Tensor_F32 output, int miniBatch)	Converts an image into a spatial tensor
static void	normalize(GrayF32 image, float mean, float stdev)	Normalizes a gray scale image by first subtracting the mean then dividing by stdev.
static Planar<GrayF32>	tensorToImage(deepboof.tensors.Tensor_F32 input, Planar<GrayF32> output, int miniBatch)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

DataManipulationOps

public DataManipulationOps()

Method Details

normalize

public static void normalize(GrayF32 image,
float mean,
float stdev)

Normalizes a gray scale image by first subtracting the mean then dividing by stdev.

Parameters:

image - Image that is to be normalized

mean - Value which is subtracted by it

stdev - The divisor

create1D_F32

public static Kernel1D_F32 create1D_F32(double[] kernel)

Converts the double array into a 1D float kernel

Parameters:

kernel - Kernel in array format

Returns:

The kernel

imageToTensor

public static void imageToTensor(Planar<GrayF32> input,
deepboof.tensors.Tensor_F32 output,
int miniBatch)

Converts an image into a spatial tensor

Parameters:

input - BoofCV planar image

output - Tensor

miniBatch - Which mini-batch in the tensor should the image be written to

tensorToImage

public static Planar<GrayF32> tensorToImage(deepboof.tensors.Tensor_F32 input,
Planar<GrayF32> output,
int miniBatch)