GitHub Unboxing: Learn how to use Deep Learning-based seismic fault segmentation on your data

I am unboxing a very interesting GitHub repo in this latest video, which presents us with a Deep Learning solution for seismic fault segmentation that runs on Python and Tensorflow. In the video, go through: code overview, running prediction on the Netherlands F3 block seismic data from the authors, and show you how to run pre-trained models on your seismic data using segyio python package. Timecodes 0:00 - Intro 1:02 - Code overview 4:14 - Code overview / DataGenerator 5:51 - Code overview / Neural Network Architecture 9:43 - Testing pre-trained model on Synthetic Dataset 12:09 - Testing pre-trained model on the Netherlands F3 block seismic data 14:36 - Loading the Canning seismic with segyio and running prediction 15:36 - Loading the Delft seismic with segyio and running prediction 16:22 - Outro Link for my previous video: Link for the FaultSeg repo: Link for the segyio python packager for reading *.segy files: