T
- data type for output()
output@Operator(group="image") public final class AdjustContrast<T extends Number> extends PrimitiveOp implements Operand<T>
`images` is a tensor of at least 3 dimensions. The last 3 dimensions are interpreted as `[height, width, channels]`. The other dimensions only represent a collection of images, such as `[batch, height, width, channels].`
Contrast is adjusted independently for each channel of each image.
For each channel, the Op first computes the mean of the image pixels in the channel and then adjusts each component of each pixel to `(x - mean) * contrast_factor + mean`.
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<T> images,
Operand<Float> contrastFactor)
Factory method to create a class wrapping a new AdjustContrast operation.
|
Output<T> |
output()
The contrast-adjusted image or images.
|
equals, hashCode, op, toString
public static <T extends Number> AdjustContrast<T> create(Scope scope, Operand<T> images, Operand<Float> contrastFactor)
scope
- current scopeimages
- Images to adjust. At least 3-D.contrastFactor
- A float multiplier for adjusting contrast.public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T extends Number>
OperationBuilder.addInput(Output)
Copyright © 2022. All rights reserved.