File size: 1,486 Bytes
e12111a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | """Module for diffusion segmentation."""
from __future__ import annotations
from dataclasses import dataclass
import jax.numpy as jnp
from imgx.diffusion.diffusion import Diffusion
@dataclass
class DiffusionSegmentation(Diffusion):
"""Base class for segmentation."""
def mask_to_x(self, mask: jnp.ndarray) -> jnp.ndarray:
"""Convert mask to x.
Args:
mask: boolean segmentation mask.
Returns:
array in diffusion space.
"""
raise NotImplementedError
def x_to_mask(self, x: jnp.ndarray) -> jnp.ndarray:
"""Convert x to mask.
Args:
x: array in diffusion space.
Returns:
boolean segmentation mask.
"""
raise NotImplementedError
def x_to_logits(self, x: jnp.ndarray) -> jnp.ndarray:
"""Convert x into model output space, which is logits.
Args:
x: array in diffusion space.
Returns:
unnormalised logits.
"""
raise NotImplementedError
def model_out_to_logits_start(
self, model_out: jnp.ndarray, x_t: jnp.ndarray, t_index: jnp.ndarray
) -> jnp.ndarray:
"""Convert model outputs to logits at time 0, noiseless.
Args:
model_out: model outputs.
x_t: noisy x at time t.
t_index: storing index values < self.num_timesteps.
Returns:
logits.
"""
raise NotImplementedError
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