Add a description, image, and links to the geometric-transformation topic page so that developers can more easily learn about it.

All the functions have basic parameters of passing the Image, Image Width and Image Height along with passing of the Geometric Transformation FACTOR which is different for each type of transformation.

Replace TORCH with the PyTorch version and CUDA with the CUDA version which you are using. Might take some time to install. !pip install torch-scatter -f https ...

It is very important to be able to efficiently compute these transforms. Python frameworks show extremely high computation performance for (Fast Fourier Transform) FFT -based algorithms executed on ...

In this work, we propose a unified framework for geometric calibration and dynamic identification in the form of a Python open-source toolbox. Besides identification model building and data processing ...