Update README.md
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README.md
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@@ -39,6 +39,7 @@ Trained by [Tissue Image Analytics (TIA) Centre](https://warwick.ac.uk/fac/cross
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```python
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from urllib.request import urlopen
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from PIL import Image
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import timm
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# get example histology image
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pretrained=True,
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).eval()
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# get model specific transforms (normalization, resize)
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data_config = timm.data.resolve_model_data_config(model)
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transforms = timm.data.create_transform(**data_config, is_training=False)
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```python
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from urllib.request import urlopen
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from PIL import Image
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import timm
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# get example histology image
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num_classes=0,
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).eval()
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# get model specific transforms (normalization, resize)
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data_config = timm.data.resolve_model_data_config(model)
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transforms = timm.data.create_transform(**data_config, is_training=False)
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```python
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from urllib.request import urlopen
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from PIL import Image
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import torch.nn as nn
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import timm
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# get example histology image
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pretrained=True,
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).eval()
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# disable norm5's activation, as per torchvision's implementation
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model.features.norm5.act == nn.Identity()
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# get model specific transforms (normalization, resize)
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data_config = timm.data.resolve_model_data_config(model)
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transforms = timm.data.create_transform(**data_config, is_training=False)
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```python
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from urllib.request import urlopen
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from PIL import Image
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import torch.nn as nn
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import timm
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# get example histology image
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num_classes=0,
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).eval()
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# disable norm5's activation, as per torchvision's implementation
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model.features.norm5.act == nn.Identity()
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# get model specific transforms (normalization, resize)
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data_config = timm.data.resolve_model_data_config(model)
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transforms = timm.data.create_transform(**data_config, is_training=False)
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