ResizeNearestNeighbor
tensorflow C++ API
tensorflow::ops::ResizeNearestNeighbor
Resizeimages
tosize
using nearest neighbor interpolation.
Summary
Input images can be of different types but output images are always float.
Arguments:
- scope: A Scope object
- images: 4-D with shape
[batch, height, width, channels]
. - size: = A 1-D int32 Tensor of 2 elements:
new_height, new_width
. The new size for the images.
Optional attributes (seeAttrs
):
- align_corners: If true, rescale input by (new_height - 1) / (height - 1), which exactly aligns the 4 corners of images and resized images. If false, rescale by new_height / height. Treat similarly the width dimension.
Returns:
Output
resized_images: 4-D with shape[batch, new_height, new_width, channels]
.
Constructor
- ResizeNearestNeighbor(const ::tensorflow::Scope& scope, ::tensorflow::Input images, ::tensorflow::Input size, const ResizeArea::Attrs& attrs).
Public attributes
- tensorflow::Output resized_images.
ResizeNearestNeighbor 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.
- size: connect Input node or input int32 value.
- ResizeNearestNeighbor::Attrs attrs : input attrs. ex) align_corners_ = false;
Return:
- Output resized_images: Output object of ResizeNearestNeighbor class object.
Result:
- std::vector(Tensor) product_result : Returned object of executed result by calling session.