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Episode #105: Colorizing and Restoring Old Images with Deep Learning

Published Fri, Nov 23, 2018, recorded Wed, Nov 21, 2018.



Sponsored by DigitalOcean: pythonbytes.fm/digitalocean

Brian #1: Colorizing and Restoring Old Images with Deep Learning

  • Text interview by Charlie Harrington of Jason Antic, developer of DeOldify
  • A whole bunch of machine learning buzzwords that I don’t understand in the slightest combine to make a really cool to to make B&W photos look freaking amazing.
  • “This is a deep learning based model. More specifically, what I've done is combined the following approaches:
    • Self-Attention Generative Adversarial Network
    • Training structure inspired by (but not the same as) Progressive Growing of GANs.
    • Two Time-Scale Update Rule.
    • Generator Loss is two parts: One is a basic Perceptual Loss (or Feature Loss) based on VGG16. The second is the loss score from the critic.”

Michael #2: PlatformIO IDE for VSCode

  • via Jason Pecor
  • PlatformIO is an open source ecosystem for IoT development
  • Cross-platform IDE and unified debugger. Remote unit testing and firmware updates
  • Built on Visual Studio Code which has a nice extension for Python
  • PlatformIO, combined with the features of VSCode provides some great improvements for project development over the standard Arduino IDE for Arduino-compatible microcontroller based solutions.
  • Some of these features are paid, but it’s a reasonable price
  • With Python becoming more popular for microcontroller design, as well, this might be a very nice option for designers.
  • And for Jason’s, specifically, it provides a single environment that can eventually be configured to handle doing the embedded code design, associated Python supporting tools mods, and HDL development.
  • The PlatformIO Core written in Python. Python 2.7 (hiss…)
  • Jason’s test drive video from Tuesday: Test Driving PlatformIO IDE for VSCode

Brian #3: Python Data Visualization 2018: Why So Many Libraries?

  • Nice overview of visualization landscape, by Anaconda team
  • Differentiating factors, API types, and emerging trends
  • Related: Drawing Data with Flask and matplotlib
    • Finally! A really simple example app in Flask that shows how to both generate and display matplotlib plots.
    • I was looking for something like this about a year ago and didn’t find it.

[play: 11:21]Michael #4: coder.com - VS Code in the cloud

  • Full Visual Studio Code, but in your browser
  • Code in the browser
  • Access up to 96 cores
  • VS Code + extensions, so all the languages and features
  • Collaborate in real time, think google docs
  • Access linux from any OS
  • Note: They sponsored an episode of Talk Python To Me, but this is not an ad here...

Brian #5: By Welcoming Women, Python’s Founder Overcomes Closed Minds In Open Source

  • Forbes’s article about Guido and the Python community actively working to get more women involved in core development as well as speaking at conferences.
  • Good lessons for other projects, and work teams, about how you cannot just passively “let people join”, you need to work to make it happen.

Michael #6: Machine Learning Basics

Extras: