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Merge branch 'master' of https://github.com/jantic/DeOldify
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README.md

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@@ -122,16 +122,18 @@ The easiest way to get started is to simply try out colorization here on Colab:
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You should now be able to do a simple install with Anaconda. Here are the steps:
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Open the command line and navigate to the root folder you wish to install. Then type the following commands
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```console
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git clone https://github.com/jantic/DeOldify.git DeOldify
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cd DeOldify
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conda env create -f environment.yml
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```
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Then start running with these commands:
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```console
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source activate deoldify
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jupyter lab
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```
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Then from there you can start running the notebooks in Jupyter Lab, via the url they provide you in the console.
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From there you can start running the notebooks in Jupyter Lab, via the url they provide you in the console.
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**Disclaimer**: This conda install process is new- I did test it locally but the classic developer's excuse is "well it works on my machine!" I'm keeping that in mind- there's a good chance it doesn't necessarily work on others's machines! I probably, most definitely did something wrong here. Definitely, in fact. Please let me know via opening an issue. Pobody's nerfect.
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@@ -240,4 +242,4 @@ Increase render_factor: Get more details right. Decrease: Still looks good but
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You're not losing any image anymore with padding issues. That's solved as a biproduct.
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#### Also Also
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I added a new generic filter interface that replaces the visualizer dealing with models directly. The visualizer loops through these filters that you provide as a list. They don't have to be backed by deep learning models- they can be any image modification you want!
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I added a new generic filter interface that replaces the visualizer dealing with models directly. The visualizer loops through these filters that you provide as a list. They don't have to be backed by deep learning models- they can be any image modification you want!

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