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Re:Colorizing and restoring old images with deep learning by citnaj on Sunday November 04, 2018 @05:04PM (#18378298)
Oh shit yeah that really does look good! Amazing really. Ok...I'm going to put these notes on the project board.

Yes..I definitely glossed over the proposed workaround and I apologize. Thanks for this.

Re:Colorizing and restoring old images with deep learning by MayeulC on Monday November 05, 2018 @07:27AM (#18381759)
No problem :)

Although I would have made it a fully-fledged github issue, with a link in your board, instead of a text entry, to add supplementary material in the issue thread.

Bonus: if you are only interested in chrominance, you can train your network to use YUV as an input instead, and output only UV. I suspect this might lead to substantial gains in the training time and network complexity.

Re:Colorizing and restoring old images with deep learning by citnaj on Tuesday November 13, 2018 @10:25AM (#18441626)
Update: I got this working, and dude- it's so awesome in every way. This is the most substantial improvement I've seen yet. Most importantly- it massively reduces memory requirements. Thank you so much. I'll commit within a day or so and make sure to mention you, on Twitter.
Re:Colorizing and restoring old images with deep learning by MayeulC on Thursday November 22, 2018 @05:59AM (#18509240)
Hey, thank you a lot, that's awesome! One more thing I recently thought about, but didn't get around to mention, is that you can probably reduce the input of your net to the Y (luminance) channel (with UV-only output), to trim it further ;)

But that might already be what you are doing, for all I know. I am just really glad I could be of any help! And this feels like an "free-lunch" improvement.

Re:Colorizing and restoring old images with deep learning by citnaj on Monday November 05, 2018 @12:02PM (#18383877)
Yeah the more I churn over this idea in my head the more excited I get about it. This really sounds like a big win.

I'm not sure what I want to do about the Kanban board versus issues tracker yet... I'm used to JIRA mostly. I'll figure it out but do know your contribution is very very much appreciated. I don't think I would have come up with that.