buzmakov / dn-tutorial Goto Github PK

The tutorial is currently composed of three notebooks:

• cnn4denoise.ipynb how to build and train a basic convolution neural networks to denoise a synthesized dataset
• mdl-prod-toy.ipynb Assmue you train the model on a cluster or desktop that has an NVIDIA GPU and save your model to a file. THis notebook explains how to load the trained model and run it on your laptop to denoise your images.
• TomoGAN-prod.ipynb explains how to train the more advanced TomoGAN for real scientific images, and use it in real world.

The notebooks are designed to be easy to use on the cloud or on your own systems.

The environment needed for the notebook is described in environment.yml

First, install Anaconda then use Anaconda's command line tool to build the environment:

conda env create --file environment.yml

• go to https://colab.research.google.com/ then log in your Google account
• Try to go to File -> Open if the following box does not show up
• Hit the GitHub tab shown in the open box, then past https://github.com/AIScienceTutorial/Denoising as shown in the following screenshot and hit the search button
• Choose and hit a notebook that you want to run.
• play it and enjoy(hopefully)