@Operator public final class AdjustContrast extends PrimitiveOp implements Operand<Float>
`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<Float> |
asOutput()
Returns the symbolic handle of a tensor.
|
static AdjustContrast |
create(Scope scope,
Operand<Float> images,
Operand<Float> contrastFactor)
Factory method to create a class to wrap a new AdjustContrast operation to the graph.
|
Output<Float> |
output()
The contrast-adjusted image or images.
|
equals, hashCode, toStringpublic static AdjustContrast create(Scope scope, Operand<Float> images, Operand<Float> contrastFactor)
scope - current graph scopeimages - Images to adjust. At least 3-D.contrastFactor - A float multiplier for adjusting contrast.public Output<Float> asOutput()
OperandInputs 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<Float>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.