Created
January 13, 2019 12:20
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A use case for getting a pretrained Unet with ResNet34 and trained on the ImageNet dataset
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| # To get the segmentation_models library, run: | |
| # pip install segmentation-models | |
| from segmentation_models import Unet | |
| def build_pretrained_unet_model(): | |
| """Build a pre-trained Unet model. """ | |
| return Unet(backbone_name='resnet34', encoder_weights='imagenet') |
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