Hi everyone,
Let’s say I have data consisting of batches of images, resulting in a shape of [batch_size, channels, h, w]. I also have batches of x-y coordinates, which are not integer values -> [batch_size, num_points, 2].
What I want to do now is to get a resulting tensor of size [batch_size, channels, num_points] which are the bilinear interpolated values for the given float x-y coordinates.
Is there a respective function in pytorch? I have only found sampling methods, but this is not what I want.
Thanks a lot!