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from typing import Union, Sequence
import torch
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: Union[int, Sequence[int]]):
super().__init__(patch_size)
def get_probability_map(self, sample):
return torch.ones(sample.shape)
fepegar /
torchio
