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README.md
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@@ -14,8 +14,6 @@ The model used is a modified version of [UTAE](https://github.com/VSainteuf/utae
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### Input
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All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 10-channel Sentinel-2 images of shape (B x 6 x 10 x 128 x 128), where B is the batch size and the second dimension is the 6 months used for prediction (April to September).
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``float[1, 7, 128, 128]``
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### Preprocessing
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The images have to be divided by a factor of 10000 and then clipped in a range of [0, 1].
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### Input
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All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 10-channel Sentinel-2 images of shape (B x 6 x 10 x 128 x 128), where B is the batch size and the second dimension is the 6 months used for prediction (April to September).
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### Preprocessing
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The images have to be divided by a factor of 10000 and then clipped in a range of [0, 1].
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