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README.md
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@@ -6,7 +6,9 @@ Custom hand-made 3-scale VQVAE trained on private dataset that consists of about
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Source code for model can be found [here](https://github.com/Kemsekov/kemsekov_torch/tree/main/vqvae).
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It acrhived 0.987 r2 metric on image reconstruction in 500 epoch on 256x256 images.
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Model have codebook:
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* 512 bottom
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Source code for model can be found [here](https://github.com/Kemsekov/kemsekov_torch/tree/main/vqvae).
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It acrhived 0.987 r2 metric on image reconstruction in 500 epoch on 256x256 images crops.
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Because I used crops, this model works fine with larger and smaller images as well.
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Model have codebook:
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* 512 bottom
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