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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+
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+ Model weights from the release at https://github.com/fieldsoftheworld/ftw-baselines/releases/tag/Pretrained-Models
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+
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+ The "full" models are trained on all country data in the Fields of The World dataset, while the CCBY models are trained according to the subset described [here](https://github.com/fieldsoftheworld/ftw-baselines?tab=readme-ov-file#cc-byor-equivalent-trained-models).
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+ Example usage:
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+ ```
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+ import segmentation_models_pytorch as smp
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+ import torch
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+
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+ model = smp.Unet(
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+ encoder_name="efficientnet-b3",
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+ encoder_weights=None,
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+ in_channels=8,
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+ classes=2
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+ )
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+ model.load_state_dict(torch.load("ftw-2class-full_unet-efficientnetb3_rgbnir_f2444768.pth", weights_only=True))
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+ ```