Tensorflow.js tf.browser.fromPixels() Function

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Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment.

The tf.browser.fromPixels() function is used to creates a Tensor of pixels values of an specified image.

Syntax:

tf.browser.fromPixels (pixels, numChannels)

Parameters: This function accepts two parameters which are illustrated below:

pixels: It is the pixels of the input image from which the Tensor is going to be constructed. The supported image types are all 4-channel.
numchannels: It is the number of channels of the output Tensor. It’s default value is 3 and the upper limit is up to 4.

Return Value: This function returns the created Tensor of pixels values of the specified image.

Example 1:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Creating a image from some specified 
// pixel values 
const image = new ImageData(2, 2); 
image.data[0] = 5; 
image.data[1] = 10; 
image.data[2] = 15; 
image.data[3] = 20; 
  
// Calling the .fromPixels() function  
// over the above image as its parameter 
// without using numChannels value,so 
// it prints only 3 pixels value as 
// the default value of numchannels  
// parameter is 3 
tf.browser.fromPixels(image).print();

Output:

Tensor
   [[[5, 10, 15],
     [0, 0 , 0 ]],

    [[0, 0 , 0 ],
     [0, 0 , 0 ]]]

Example 2:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Creating a image from some specified 
// pixels values 
const image = new ImageData(1, 1); 
image.data[0] = 5; 
image.data[1] = 10; 
image.data[2] = 15; 
image.data[3] = 20; 
  
// Calling the .fromPixels() function  
// over the above image as its parameter 
// along with 4 value for numChannels parameter 
tf.browser.fromPixels(image, 4).print();

Output:

Tensor
    [ [[5, 10, 15, 20],]]

Reference:https://js.tensorflow.org/api/1.0.0/#browser.fromPixels

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