projet-long/hubconf.py

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import torch
from unet import UNet as _UNet
def unet_carvana(pretrained=False):
"""
UNet model trained on the Carvana dataset ( https://www.kaggle.com/c/carvana-image-masking-challenge/data ).
Set the scale to 0.5 (50%) when predicting.
"""
net = _UNet(n_channels=3, n_classes=2, bilinear=True)
if pretrained:
checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v2.0/unet_carvana_scale0.5_epoch1.pth'
net.load_state_dict(torch.hub.load_state_dict_from_url(checkpoint, progress=True))
return net