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@@ -1,6 +1,10 @@
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# DeOldify
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-Simply put, the mission of this project is to colorize and restore old images. I'll get into the details in a bit, but first let's get to the pictures! BTW – most of these source images originally came from the [r/TheWayWeWere subreddit](https://www.reddit.com/r/TheWayWeWere), so credit to them for finding such great photos.
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+**NEW!** Try out colorization here on Colab: https://colab.research.google.com/github/mc-robinson/DeOldify/blob/master/DeOldify_colab.ipynb . Huge thanks to Matt Robinson.
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+
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+Simply put, the mission of this project is to colorize and restore old images. I'll get into the details in a bit, but first let's get to the pictures! BTW – most of these source images originally came from the r/TheWayWeWere subreddit, so credit to them for finding such great photos.
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#### Some of many results - These are pretty typical!
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@@ -102,10 +106,10 @@ So that's the gist of this project – I'm looking to make old photos look reeee
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Oh and I swear I'll document the code properly...eventually. Admittedly I'm *one of those* people who believes in "self documenting code" (LOL).
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### Getting Started Yourself
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-This project is built around the wonderful Fast.AI library. Unfortunately, it's the -old- version and I have yet to upgrade it to the new version. (That's definitely on the agenda.)
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+The easest way to get started is to simply try out colorization here on Colab: https://colab.research.google.com/github/mc-robinson/DeOldify/blob/master/DeOldify_colab.ipynb . This was contributed by Matt Robinson, and it's simply awesome.
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-So prereqs, in summary:
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-* ***Old* Fast.AI library** [**UPDATE 11/7/2018**] Easiest thing to do in my mind is just to take the `fastai/fastai` folder and drop it in the root of this project, right next to `fasterai`'s folder. Just today, I found this thread on installing `fast.ai` 0.7. This is probably your best resource on this subject! https://forums.fast.ai/t/fastai-v0-7-install-issues-thread/24652 . Do this first, this will take you most of the way, including dependencies.
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+This project is built around the wonderful Fast.AI library. Unfortunately, it's the -old- version and I have yet to upgrade it to the new version. (That's definitely on the agenda.) So prereqs, in summary:
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+* ***Old* Fast.AI library** [**UPDATE 11/7/2018**] Easiest thing to do in my mind is just to take the fastai/fastai folder and drop it in the root of this project, right next to fasterai's folder. Just today, I found this thread on installing fast.ai 0.7- This is probably your best resource on this subject! https://forums.fast.ai/t/fastai-v0-7-install-issues-thread/24652 . Do this first- this will take you most of the way, including dependencies.
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* **Pytorch 0.4.1** (needs spectral_norm, so latest stable release is needed). https://pytorch.org/get-started/locally/
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* **Jupyter Lab** `conda install -c conda-forge jupyterlab`
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* **Tensorboard** (i.e. install Tensorflow) and **TensorboardX** (https://github.com/lanpa/tensorboardX). I guess you don't *have* to but man, life is so much better with it. And I've conveniently provided hooks/callbacks to automatically write all kinds of stuff to tensorboard for you already! The notebooks have examples of these being instantiated (or commented out since I didn't really need the ones doing histograms of the model weights). Noteably, progress images will be written to Tensorboard every 200 iterations by default, so you get a constant and convenient look at what the model is doing. `conda install -c anaconda tensorflow-gpu`
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Jason Antic