""" Gaussian Blur """
#  Copyright (c) 2020. Mirage Technologies AG and its affiliates. All Rights Reserved

import numpy as np
import cv2

class GaussianBlur(object):
    # Implements Gaussian blur as described in the SimCLR paper
    def __init__(self, kernel_size, min=0.1, max=2.0, prob=0.5):
        self.min = min
        self.max = max
        self.prob = prob
        # kernel size is set to be 10% of the image height/width
        self.kernel_size = kernel_size

    def __call__(self, sample):
        sample = np.array(sample)
        # blur the image with a 50% chance
        prob = np.random.random_sample()
        if prob < self.prob:
            sigma = (self.max - self.min) * np.random.random_sample() + self.min
            sample = cv2.GaussianBlur(sample, (self.kernel_size, self.kernel_size), sigma)

        return sample