Interpolate torch

1. What is interpolate in PyTorch?
2. How does Bicubic interpolation work?
3. How does bilinear interpolation work?

What is interpolate in PyTorch?

In deep learning, we have different types of functionality to the user, in which that interpolate is one the functionality that the PyTorch provides. By using interpolate, we can set the input according to our requirement, and the different used interpolate algorithm depends on the setting of different parameter modes.

How does Bicubic interpolation work?

The bi-cubic interpolation algorithm works by estimating the color in an image pixel by calculating the average of 16 pixels residing around pixels that are similar to pixels in the source image, and the formula below gives an interpolation result applied to each component of red, green and blue.

How does bilinear interpolation work?

Bilinear Interpolation : is a resampling method that uses the distanceweighted average of the four nearest pixel values to estimate a new pixel value. The four cell centers from the input raster are closest to the cell center for the output processing cell will be weighted and based on distance and then averaged.