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typo correction #638

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Sep 1, 2022
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typo correction #638

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -66,7 +66,7 @@ model = smp.Unet(

#### 2. Configure data preprocessing

All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give your better results (higher metric score and faster convergence). It is **not necessary** in case you train the whole model, not only decoder.
All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give you better results (higher metric score and faster convergence). It is **not necessary** in case you train the whole model, not only decoder.

```python
from segmentation_models_pytorch.encoders import get_preprocessing_fn
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