for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import torch
from ...data.subject import Subject
from ...torchio import TypePatchSize
from .weighted import WeightedSampler
class UniformSampler(WeightedSampler):
"""Randomly extract patches from a volume with uniform probability.
Args:
patch_size: See :py:class:`~torchio.data.PatchSampler`.
"""
def __init__(self, patch_size: TypePatchSize):
super().__init__(patch_size)
def get_probability_map(self, sample: Subject) -> torch.Tensor:
return torch.ones(sample.shape)
fepegar /
torchio
