The quality is significantly higher when narrowing the domain from "photos" in general. To de-install everything, you can just delete the #/pyvenv/ folder.Įxample #3 - Specialized super-resolution for faces, trained on HD examples of celebrity faces only. You'll also need to download this pre-trained neural network (VGG19, 80Mb) and put it in the same folder as the script to run. Python3 -m pip install -ignore-installed -r requirements.txtĪfter this, you should have pillow, theano and lasagne installed in your virtual environment. # Setup the required dependencies simply using the PIP module. # If you're using bash, make this the active version of Python. Python3 -m venv pyvenv -system-site-packages # Create a local environment for Python 3.x to install dependencies here. Here's the simplest way you can call the script using docker, assuming you're familiar with using -v argument to mount folders you can use this directly to specify files to enhance: Find out more about the alexjc/neural-enhance image on its Docker Hub page. Then, you should be able to download and run the pre-built image using the docker command line tool. The easiest way to get up-and-running is to install Docker. Installation
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