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update readmes, added pix2pix
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@@ -17,13 +17,15 @@ The dataset can be downloaded from Kaggle: [link](https://www.kaggle.com/vikramt
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The dataset can be downloaded from Kaggle: [link](https://www.kaggle.com/ktaebum/anime-sketch-colorization-pair).
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### Download pretrained weights
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Pretrained weights for Satellite image to Google Map [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Satellite_to_Map.zip)
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Pretrained weights for Colorizing Anime [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Colorize_Anime.zip)
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Pretrained weights for Satellite image to Google Map [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Satellite_to_Map.zip).
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Pretrained weights for Colorizing Anime [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Colorize_Anime.zip).
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Extract the zip file and put the pth.tar files in the directory with all the python files. Make sure you put LOAD_MODEL=True in the config.py file.
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### Training
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Edit the config.py file to match the setup you want to use. Then run train.py
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## Pix2Pix paper
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### Image-to-Image Translation with Conditional Adversarial Networks by Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
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