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import os
import numpy as np
import scipy.ndimage as ndimage
import matplotlib
import matplotlib.pyplot as plt

def frac_eq_to(image, value=0):
    return (image == value).sum() / float(np.prod(image.shape))

def extract_patches(image, patchshape, overlap_allowed=0.5, cropvalue=None,

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def add_gaussian_noise(image):
    # image must be scaled in [0, 1]
    with tf.name_scope('Add_gaussian_noise'):
        noise = tf.random_normal(shape=tf.shape(image), mean=0.0, stddev=(50)/(255), dtype=tf.float32)
        noise_img = image + noise
        noise_img = tf.clip_by_value(noise_img, 0.0, 1.0)
    return noise_img

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void SplitString(const std::string& s, std::vector<std::string>& v, const std::string& c)
{
  std::string::size_type pos1, pos2;
  pos2 = s.find(c);
  pos1 = 0;
  while(std::string::npos != pos2)
  {
    v.push_back(s.substr(pos1, pos2-pos1));
 
    pos1 = pos2 + c.size();

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def is_power2(num):

	'states if a number is a power of two'

	return ((num & (num - 1)) == 0) and num != 0