REVA-QCAV/hubconf.py
milesial c3c2675369 Torch hub
Former-commit-id: 4ce26d9d02760fead8fa34445f0e01acf9e4efef
2020-07-29 18:50:33 -07:00

16 lines
560 B
Python

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 1 (100%) when predicting.
"""
net = _UNet(n_channels=3, n_classes=1, bilinear=True)
if pretrained:
checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v1.0/unet_carvana_scale1_epoch5.pth'
net.load_state_dict(torch.hub.load_state_dict_from_url(checkpoint, progress=True))
return net