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ResizeArea

public final class ResizeArea

Resize `images` to `size` using area interpolation.

Input images can be of different types but output images are always float.

The range of pixel values for the output image might be slightly different from the range for the input image because of limited numerical precision. To guarantee an output range, for example `[0.0, 1.0]`, apply `tf.clip_by_value` to the output.

Each output pixel is computed by first transforming the pixel's footprint into the input tensor and then averaging the pixels that intersect the footprint. An input pixel's contribution to the average is weighted by the fraction of its area that intersects the footprint. This is the same as OpenCV's INTER_AREA.

Nested Classes

class ResizeArea.Options Optional attributes for ResizeArea

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

static ResizeArea.Options
alignCorners (Boolean alignCorners)
Output < TFloat32 >
asOutput ()
Returns the symbolic handle of the tensor.
static ResizeArea
create ( Scope scope, Operand <? extends TNumber > images, Operand < TInt32 > size, Options... options)
Factory method to create a class wrapping a new ResizeArea operation.
Output < TFloat32 >
resizedImages ()
4-D with shape `[batch, new_height, new_width, channels]`.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ResizeArea"

Public Methods

public static ResizeArea.Options alignCorners (Boolean alignCorners)

Parameters
alignCorners If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels. Defaults to false.

public Output < TFloat32 > asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static ResizeArea create ( Scope scope, Operand <? extends TNumber > images, Operand < TInt32 > size, Options... options)

Factory method to create a class wrapping a new ResizeArea operation.

Parameters
scope current scope
images 4-D with shape `[batch, height, width, channels]`.
size = A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The new size for the images.
options carries optional attributes values
Returns
  • a new instance of ResizeArea

public Output < TFloat32 > resizedImages ()

4-D with shape `[batch, new_height, new_width, channels]`.