File size: 2,380 Bytes
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Model:
classpath: Model:UNetpp
UNetpp:
outputs_criterions: None
pretrained: false
Dataset:
groups_src:
Volume_0:
groups_dest:
Volume:
transforms:
Clip/0:
min_value: -1024
max_value: 5000
save_clip_min: false
save_clip_max: false
mask: None
TensorCast:
dtype: int16
inverse: false
ResampleToResolution:
spacing:
- 1
- 1
- 3
inverse: true
Clip/1:
min_value: min
max_value: percentile:99.5
save_clip_min: false
save_clip_max: false
mask: None
Normalize:
lazy: false
channels: None
min_value: -1
max_value: 1
inverse: false
patch_transforms: None
is_input: true
augmentations:
DataAugmentation_0:
data_augmentations:
Flip:
f_prob:
- 0
- 0.5
- 0.5
prob: 1
nb: 2
Patch:
patch_size:
- 1
- 512
- 512
overlap: None
mask: None
pad_value: -1
extend_slice: 2
subset: None
filter: None
dataset_filenames:
- ./Dataset:mha
use_cache: false
batch_size: 8
outputs_dataset:
Head:Tanh:
OutputDataset:
name_class: OutSameAsGroupDataset
before_reduction_transforms:
UnNormalize:
min_value: -1024
max_value: 3071
TensorCast:
dtype: int16
inverse: false
after_reduction_transforms:
InferenceStack:
dataset: Predictions/ImpactSynth/Output:mha
name: InferenceStack
mode: mean
final_transforms: None
dataset_filename: Output:mha
group: sCT
same_as_group: Volume_0:Volume
patch_combine: None
inverse_transform: true
reduction: Concat
Concat: {}
train_name: ImpactSynth
manual_seed: 32
gpu_checkpoints: None
images_log: None
combine: Concat
autocast: false
data_log: None
Concat: {}
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