22 lines
842 B
Python
22 lines
842 B
Python
import torch
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from unet import UNet as _UNet
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def unet_carvana(pretrained=False, scale=0.5):
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"""
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UNet model trained on the Carvana dataset ( https://www.kaggle.com/c/carvana-image-masking-challenge/data ).
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Set the scale to 0.5 (50%) when predicting.
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"""
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net = _UNet(n_channels=3, n_classes=2, bilinear=False)
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if pretrained:
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if scale == 0.5:
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checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v3.0/unet_carvana_scale0.5_epoch2.pth'
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elif scale == 1.0:
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checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v3.0/unet_carvana_scale1.0_epoch2.pth'
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else:
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raise RuntimeError('Only 0.5 and 1.0 scales are available')
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net.load_state_dict(torch.hub.load_state_dict_from_url(checkpoint, progress=True))
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return net
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