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citnaj's profile
Jason Antic
Jason Antic
Jason Antic
@citnaj

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Jason Antic

@citnaj

Obsessively pursuing the perfection of image and video colorization/restoration using deep learning. Creator of DeOldify.

Ocean Beach, San Diego
deoldify.ai
Joined January 2010

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    1. ELERIAS‏ @SilviuVladPirvu 10 Nov 2018
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      Colourising b&w photos using #DeOldify looks promising in generating intuitive perceptions of space and features. Thank you @citnaj for making it available as a #Google colab notebook! https://colab.research.google.com/github/mc-robinson/DeOldify/blob/master/DeOldify_colab.ipynb … #DeepLearning #UrbanPlanning #AI #MachineLearning #GAN #ML #DL #Citiespic.twitter.com/bUndwOip5M

      Jason Antic
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    2. ELERIAS‏ @SilviuVladPirvu 10 Nov 2018
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      @citnaj what I do find interesting is that even with drawings / very low detail images it has consistency in differentiating different features (e.g. roofs, sky, buildings, trees). Maybe some image segmentation would help to avoid water/road confusions for more specialised use?pic.twitter.com/Yo8QxFVW2w

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    3. Jason Antic‏ @citnaj 10 Nov 2018
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      Replying to @SilviuVladPirvu @UrbanPlanningAI

      These are some really interesting test cases. Thanks for posting! Can you expand on the water/road confusion? Is there a particular picture you have in mind?

      1 reply 0 retweets 0 likes
    4. ELERIAS‏ @SilviuVladPirvu 10 Nov 2018
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      Replying to @citnaj

      Roads and water look quite similar in the aerial with Westminster Palace (and in some places with the Crystal Palace surrounded by a large green area where the grass is colourized as light blue). I guess that's because they have similar shades of grey and texture details.

      1 reply 0 retweets 1 like
    5. Jason Antic‏ @citnaj 10 Nov 2018
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      Replying to @SilviuVladPirvu @UrbanPlanningAI

      Ahh got it! So I'll just throw out some speculation here- As far as I can tell, the ImageNet dataset doesn't really have images shot at this perspective. I'm pretty sure part of the contextual information that goes into how the model interprets the scenes is relative (cont)

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    6. Jason Antic‏ @citnaj 10 Nov 2018
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      Replying to @citnaj @UrbanPlanningAI

      position and the general expectation that skies are up and water is down. I really think it boils down to that. So if you wanted it to perform well on images such as these, you'd want to supplement the dataset with aerial shots like this. I think that'd make a big difference.

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      Jason Antic‏ @citnaj 10 Nov 2018
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      Replying to @citnaj @UrbanPlanningAI

      Honestly it'd probably greatly improve the look of the buildings and other things as well.

      3:23 PM - 10 Nov 2018
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        2. ELERIAS‏ @SilviuVladPirvu 10 Nov 2018
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          Replying to @citnaj

          That would be good. I will have a closer look on how to enrich the dataset. I'm also thinking that some data augmentation can be done by using different pairs of b&w and colour... cont

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        3. ELERIAS‏ @SilviuVladPirvu 10 Nov 2018
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          Replying to @SilviuVladPirvu @citnaj

          ....e.g. Green/Red/Yellow Filter B&W etc as well as different vertical and horizontal distortions, vertical flipping transformations, multi cropping and then batch exported from Adobe Lightroom.

          1 reply 0 retweets 1 like
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