AdjustSaturation

tensorflow C++ API

tensorflow::ops::AdjustSaturation

Adjust the saturation of one or more images.

Summary

imagesis a tensor of at least 3 dimensions. The last dimension is interpretted 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.

Arguments:

• scope: A Scope object
• images: Images to adjust. At least 3-D.. Datatype must be float.
• scale: A float delta to add to the saturation.

Returns:

• Output: The saturation-adjusted image or images.

Constructor

• AdjustSaturation(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input scale) .

Public attributes

• tensorflow::Output output.

AdjustSaturation block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_image_ops.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• images : connect Input node.
• scale: connect Input node or input float value.

Return:

• Output output: Output object of AdjustSaturation class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method

Input contents datatype of images must be float.