Tensorflow.js tf.image.resizeNearestNeighbor() Function
Last Updated :
16 Jun, 2022
Tensorflow.js is an open-source library developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment.
The .image.resizeNearestNeighbor() function is used to rescale a heap of 3D images to a different configuration.
Syntax:
tf.image.resizeNearestNeighbor(images,
size, alignCorners?, halfPixelCenters?)
Parameters:
- images: The stated images of rank 4 or else rank 3, which is of configuration [batch, height, width, inChannels]. Moreover, in case its of rank 3, then the batch of one is presumed. It can be of type tf.Tensor3D, tf.Tensor4D, TypedArray, or Array.
- size: The different stated configuration [newHeight, newWidth] in order to rescale the images. Every channel is rescaled one by one. It is of type [number, number].
- alignCorners: It is the optional parameter whose by default value is false. In case its true, the input is resized by (new_height – 1) / (height – 1), that absolutely queues the four corners of the stated images as well as rescaled images. However, if its false then it is rescaled by new_height / height. It deals in the same manner with the width dimension. It is of type Boolean.
- halfPixelCenters: It is the optional parameter whose by default value is false. It is of type Boolean.
Return Value: It returns tf.Tensor3D, or tf.Tensor4D.
Example 1: In this example, we will be going to use a 4d tensor and a size parameter.
Javascript
import * as tf from "@tensorflow/tfjs"
tf.image.resizeNearestNeighbor(tf.tensor4d([[
[[4, 7], [21, 9]],
[[8, 9], [1, 33]]
]]), [3, 4]).print();
|
Output:
Tensor
[[[[4 , 7 ],
[4 , 7 ],
[21, 9 ],
[21, 9 ]],
[[4 , 7 ],
[4 , 7 ],
[21, 9 ],
[21, 9 ]],
[[8 , 9 ],
[8 , 9 ],
[1 , 33],
[1 , 33]]]]
Example 2: In this example, we will be going to use an array of floats, alignCorners, as well as halfPixelCenters.
Javascript
import * as tf from "@tensorflow/tfjs"
const arr = [[
[[1.1, 1.7, 1.5, 1.1],
[1.7, 1.9, 8.1, 6.3]],
[[3.3, 3.4, 3.7, 4.0],
[5.1, 5.2, 5.3, 5.9]]
]];
tf.image.resizeNearestNeighbor(arr, [1, 2], true , false ).print();
|
Output:
Tensor
[[[[1.1, 1.7, 1.5 , 1.1 ],
[1.7, 1.9, 8.1000004, 6.3000002]]]]
Reference: https://js.tensorflow.org/api/latest/#image.resizeNearestNeighbor
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