Adjust the saturation of one or more images.
`images` is a tensor of at least 3 dimensions. The last dimension is interpreted as channels, and must be three.
The input image is considered in the RGB colorspace. Conceptually, the RGB colors are first mapped into HSV. A scale is then applied all the saturation values, and then remapped back to RGB colorspace.
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> AdjustSaturation<T> | |
Output<T> |
output()
The hue-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 AdjustSaturation<T> create (Scope scope, Operand<T> images, Operand<TFloat32> scale)
Factory method to create a class wrapping a new AdjustSaturation operation.
Parameters
scope | current scope |
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images | Images to adjust. At least 3-D. |
scale | A float scale to add to the saturation. |
Returns
- a new instance of AdjustSaturation