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Old Ireland in Colour
(OIIC)
http://bit.ly/oiicslides
Professor John G. Breslin
VistaMilk and Insight SFI Research Centres
Data Science Institute
NUI Galway
For most DSI peeps, you have probably never heard of her
She was an Irish author and storyteller born in Kerry
Most non-millennial Irish people studied her in school (the Irish
Times says that “her mournful memoir was required reading for
a generation of Irish school students”)
Previously, all we had was that sad book and some black and
white photos of her
This is Peig Sayers
This is DeOldify
A deep learning model to colourise (old) black and white photos
Created by Jason Antic @citnaj
This is Peig Sayers with DeOldify [plus
TorchWarp (DL, morphs two images)]
And it’s not just photos… You can
DeOldify video too!
Who made DeOldify?
Made by Jason Antic, deep learning researcher/programmer
Took on the idea of using DL for image colourisation as a
hobby/project when he was undertaking the fast.ai course in
Spring/Summer 2018
Met up with Dana Kelley (collaborator on the project, left) and
Jason Antic when I was in San Diego in June 2019
● GAN requires setting up the training of a colourising model
that involves a second model —  the “critic”  —  that basically
is there to “criticize” the colourisations and teach the
“generator” to produce better images
● Since the “critic” model is also a neural network, it can pick
up on a lot of the nuances regarding what makes something
look more “realistic” (that simpler methods just cannot do)
● Output is often more colourful and convincing compared to
previous efforts (i.e. deep learning models for colourisation)
How does it work? (GAN — Generative
Adversarial Network) [more here]
More on how I got into this
“Donegal family research leads to amazing colour update for
black & white photos”
https://www.donegallive.ie/news/features/495528/donegal-fam
ily-research-leads-to-amazing-colour-update-for-black-white-p
hotos.html
Some favourites
1910 1911
1902 1896 1914
1963 Galway ~1942 UPenn
1906
1882
The Stoneys, Aula Maxima, Alice Perry
Edith Stoney = first female medical physicist in the world
Florence Stoney = first female radiologist in UK or Ireland
George Johnstone Stoney = originator of the term “electron”, NUI Galway professor
Alice Perry = first female engineering graduate in UK or Ireland
1902
1932 (two Galway men)
Often requires colouring in of arms,
legs or faces: sometimes a lot of them!
Before you ask, historical accuracy is a
challenge (“Golden” Gate Bridge)
But more about how to tackle that later...
Mass colourisation using DeOldify
● Running on my MSI Aegis Ti3 8th desktop
● Using a local installation of DeOldify’s Docker/API instance
on Ubuntu with NVIDIA Docker and CUDA (there’s also a
Jupyter interface)
● Used FlickrDump to get images from NLI, PRONI and wget
from Dúchas
● Processes a photo every second or so
● 20,000 done in a number of hours
● Downloaded larger image banks for future retraining
2729 photos
2778 photos
3267 photos
11254 photos
Social media: >15k followers in three
months (Facebook, Twitter, Instagram)
2.2M engagements on Twitter in 3
months
Facebook has the most followers
(nearly 8k likes)
Instagram is quieter but still busy
Inspiration for new “countries in
colour” accounts from various people
around the world
Pakistan, New Zealand, Argentina...
Back to the historical accuracy
● Some knowledge of the clothes someone/some group
wore, paintings, traditions, etc. (e.g. red Galway shawls)
● Usually requires some additional touchup or manual
adjustment
● New techniques allow you to spot touch areas with a dot of
colour and then spread/apply that to a region, or even to
the same region across video frames
● But the most standard way is to fire up PhotoShop
Countess Markievicz
Amelia Earhart
Titanic
DeOldify links
DYK DeOldify only kicked off as a project in the summer of 2018!
https://github.com/jantic/DeOldify (code, etc. from Jason Antic)
http://bit.ly/deoldifyimages (DeOldify images on Google Colab)
http://bit.ly/deoldifyvideos (DeOldify videos on Google Colab)
www.colorize.ml (commercial app, uses DeOldify, third party)
http://bit.ly/deoldifytutorial (by John)
DeepRemaster: Temporal Source-Reference Attention Networks
for Comprehensive Video Enhancement
iizuka.cs.tsukuba.ac.jp/projects/remastering/en/index.html
github.com/satoshiiizuka/siggraphasia2019_remastering
Interactive Deep Colorization
github.com/junyanz/interactive-deep-colorization/
See also
Thank you
Any questions?
(Irish photos from Dúchas used under a CC BY-NC 4.0 license,
most other Irish photos used are public domain)

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Old Ireland in Colour

  • 1. Old Ireland in Colour (OIIC) http://bit.ly/oiicslides Professor John G. Breslin VistaMilk and Insight SFI Research Centres Data Science Institute NUI Galway
  • 2. For most DSI peeps, you have probably never heard of her She was an Irish author and storyteller born in Kerry Most non-millennial Irish people studied her in school (the Irish Times says that “her mournful memoir was required reading for a generation of Irish school students”) Previously, all we had was that sad book and some black and white photos of her This is Peig Sayers
  • 3. This is DeOldify A deep learning model to colourise (old) black and white photos Created by Jason Antic @citnaj
  • 4. This is Peig Sayers with DeOldify [plus TorchWarp (DL, morphs two images)]
  • 5.
  • 6.
  • 7. And it’s not just photos… You can DeOldify video too!
  • 8. Who made DeOldify? Made by Jason Antic, deep learning researcher/programmer Took on the idea of using DL for image colourisation as a hobby/project when he was undertaking the fast.ai course in Spring/Summer 2018 Met up with Dana Kelley (collaborator on the project, left) and Jason Antic when I was in San Diego in June 2019
  • 9. ● GAN requires setting up the training of a colourising model that involves a second model —  the “critic”  —  that basically is there to “criticize” the colourisations and teach the “generator” to produce better images ● Since the “critic” model is also a neural network, it can pick up on a lot of the nuances regarding what makes something look more “realistic” (that simpler methods just cannot do) ● Output is often more colourful and convincing compared to previous efforts (i.e. deep learning models for colourisation) How does it work? (GAN — Generative Adversarial Network) [more here]
  • 10. More on how I got into this “Donegal family research leads to amazing colour update for black & white photos” https://www.donegallive.ie/news/features/495528/donegal-fam ily-research-leads-to-amazing-colour-update-for-black-white-p hotos.html
  • 15. The Stoneys, Aula Maxima, Alice Perry Edith Stoney = first female medical physicist in the world Florence Stoney = first female radiologist in UK or Ireland George Johnstone Stoney = originator of the term “electron”, NUI Galway professor Alice Perry = first female engineering graduate in UK or Ireland
  • 16. 1902
  • 18.
  • 19.
  • 20.
  • 21.
  • 22. Often requires colouring in of arms, legs or faces: sometimes a lot of them!
  • 23. Before you ask, historical accuracy is a challenge (“Golden” Gate Bridge) But more about how to tackle that later...
  • 24. Mass colourisation using DeOldify ● Running on my MSI Aegis Ti3 8th desktop ● Using a local installation of DeOldify’s Docker/API instance on Ubuntu with NVIDIA Docker and CUDA (there’s also a Jupyter interface) ● Used FlickrDump to get images from NLI, PRONI and wget from Dúchas ● Processes a photo every second or so ● 20,000 done in a number of hours ● Downloaded larger image banks for future retraining
  • 29. Social media: >15k followers in three months (Facebook, Twitter, Instagram)
  • 30. 2.2M engagements on Twitter in 3 months
  • 31. Facebook has the most followers (nearly 8k likes)
  • 32. Instagram is quieter but still busy
  • 33. Inspiration for new “countries in colour” accounts from various people around the world Pakistan, New Zealand, Argentina...
  • 34. Back to the historical accuracy ● Some knowledge of the clothes someone/some group wore, paintings, traditions, etc. (e.g. red Galway shawls) ● Usually requires some additional touchup or manual adjustment ● New techniques allow you to spot touch areas with a dot of colour and then spread/apply that to a region, or even to the same region across video frames ● But the most standard way is to fire up PhotoShop
  • 38. DeOldify links DYK DeOldify only kicked off as a project in the summer of 2018! https://github.com/jantic/DeOldify (code, etc. from Jason Antic) http://bit.ly/deoldifyimages (DeOldify images on Google Colab) http://bit.ly/deoldifyvideos (DeOldify videos on Google Colab) www.colorize.ml (commercial app, uses DeOldify, third party) http://bit.ly/deoldifytutorial (by John)
  • 39. DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement iizuka.cs.tsukuba.ac.jp/projects/remastering/en/index.html github.com/satoshiiizuka/siggraphasia2019_remastering Interactive Deep Colorization github.com/junyanz/interactive-deep-colorization/ See also
  • 40. Thank you Any questions? (Irish photos from Dúchas used under a CC BY-NC 4.0 license, most other Irish photos used are public domain)