Install and train 8 artificial intelligence packages from Github and create a documentation on the steps

I need these packages to be installed: --------- Style transfer [login to view URL] Photo enhancer [login to view URL] Image restoration [login to view URL] PNG optimisation [login to view URL] Smart cropping [login to view URL] Enhancing [login to view URL] Matting: A [login to view URL] Matting: B [login to view URL] --------- They need to work in that I am able pass a command to each specific script with the arguments needed (and the photos to modify), so we can implement an API to use against them. All installations have to be organised neatly into folders, which include the test data, models, and everything needed to get the packages up and running on a different server. They must be installed on a CentOS server. Lastly, you need to create a simple documentation on the packages we need to install to be able to take the setup you created and re-install it on a different server. It should be as straight forward and with a few steps as possible to .zip the folders, move them to a different server, install the packages required, and have it up and running. The type of photos being used are mostly photos of people, so keep this in mind about the training datasets. We want to test each package you install as you go so that we ensure it works.