GianlucaCarlini

import numpy as np
import torch
import torch.nn as nn

def corrupt_image(
    image: torch.Tensor,
    patch_size: int = 32,
    frac: float = 0.2,
    mode: str = "disc",
    retrun_proportion: bool = False,

GianlucaCarlini

import numpy as np


def view_array_patches(
    img: np.ndarray, patch_size: tuple, strides: tuple, padding: str = "valid"
) -> np.ndarray:
    """Generates a patched view of an array.

    Args:
        img (np.ndarray): The input array to be patched.

GianlucaCarlini

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import cv2
import numpy as np
from itertools import combinations

__author__ = ['Nico Curti', 'Gianluca Carlini']
__email__ = ['nico.curti2@unibo.it', 'gianluca.carlini3@unibo.it']