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⨍ Functions 121◇ Types & classes 26

Functioninter_sum

(a: Tensor, b: Tensor)

Functioniou_score

(output, target)

Functioniou_score

(output, target)

model/criterions.py:158

Functionmean_iou

(output, target)

Functionmeta_dice

(sum_str: str, label: Tensor, pred: Tensor, smooth: float = 1e-8)

(fn: Callable[[A], B], iter: Iterable[A])

Functionnp_class2one_hot

(seg: np.ndarray, K: int)

Functionone_hot2dist

(seg: np.ndarray, resolution: Tuple[float, float, float] = None, dtype=None)

Functionone_hot2hd_dist

Used for https://arxiv.org/pdf/1904.10030.pdf, implementation from https://github.com/JunMa11/SegWithDistMap

Functionprobs2one_hot

(probs: Tensor)

Functionsave_images

(segs: Tensor, names: Iterable[str], root: str, mode: str, iter: int)

Functionsigmoid_dice

The dice loss for using sigmoid activation function :param output: (b, num_class-1, d, h, w) :param target: (b, d, h, w) :return:

model/criterions.py:79

Functionsoft_size

Functionsoftmax_dice

The dice loss for using softmax activation function :param output: (b, num_class, d, h, w) :param target: (b, d, h, w) :return: softm

model/criterions.py:50

Functionsoftmax_dice2

The dice loss for using softmax activation function :param output: (b, num_class, d, h, w) :param target: (b, d, h, w) :return: softm

model/criterions.py:64

Functionstarmmap_

(fn: Callable[[Tuple[A]], B], iter: Iterable[Tuple[A]])

Functionstr2bool

Functionuncurry

(fn: Callable, args: List[Any])

Functionunion_sum

(a: Tensor, b: Tensor)

(self, val, n=1)

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