mednet.config.segment.models.hed¶
HED Network for Segmentation.
Reference: [XT15]
# SPDX-FileCopyrightText: Copyright © 2024 Idiap Research Institute <contact@idiap.ch>
#
# SPDX-License-Identifier: GPL-3.0-or-later
"""HED Network for Segmentation.
Reference: :cite:p:`xie_holistically-nested_2015`
"""
import torch.optim
import torchvision.transforms
import torchvision.transforms.v2
import mednet.models.losses
import mednet.models.segment.hed
import mednet.models.transforms
model = mednet.models.segment.hed.HED(
loss_type=mednet.models.losses.MultiLayerSoftJaccardAndBCELogitsLoss,
loss_arguments=dict(alpha=0.7), # 0.7 BCE + 0.3 Jaccard
optimizer_type=torch.optim.Adam,
optimizer_arguments=dict(lr=0.01),
model_transforms=[
mednet.models.transforms.SquareCenterPad(),
torchvision.transforms.v2.Resize(512, antialias=True),
torchvision.transforms.v2.RGB(),
],
pretrained=False,
)