Adjust the contrast of one or more images.
`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`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TNumber> AdjustContrast<T> | |
Output<T> |
output()
The contrast-adjusted image or images.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> 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 AdjustContrast<T> create (Scope scope, Operand<T> images, Operand<TFloat32> contrastFactor)
Factory method to create a class wrapping a new AdjustContrast operation.
Parameters
scope | current scope |
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images | Images to adjust. At least 3-D. |
contrastFactor | A float multiplier for adjusting contrast. |
Returns
- a new instance of AdjustContrast