Source code

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# 2019/07/23

#  ZPILGaussianNoise.py

# encodig: utf-8

import sys
import os
import time
import traceback
import random
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image, ImageOps, ImageFilter

import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim

from SOL4Py.ZGaussianNoiseInjector import *


# This class may be use a component of torch image transformer.
#
# transforms.Compose([ ZGaussianNoise(40),
#                       transforms.ToTensor()])

class ZPILGaussianNoise(object):
  def __init__(self, sigma):
    # Create an object ZGaussianNoiseInjector
    self.noise_injector = ZGaussianNoiseInjector(sigma=sigma)

  def __call__(self, image):
    arrayed_image = np.asarray(image)
    noised_image = self.noise_injector.inject_to(arrayed_image)

    # Create a PIL image from the noised_image
    return Image.fromarray(noised_image)