from __future__ import absolute_import
from .technique import PositionInvariantTechnique
import cv2
import numpy as np

class blurringAugmentationTechnique(PositionInvariantTechnique):

    # Valid values for ksize are 3,5,7,9, and 11
    def __init__(self,parameters):
        PositionInvariantTechnique.__init__(self, parameters)
        if 'ksize' in list(parameters.keys()):
            self.ksize = int(parameters["ksize"])
        else:
            self.ksize = 3
        if (not (self.ksize in [3,5,7,9,11])):
            raise NameError("Invalid value for ksize")


    def apply(self, image):
        blurred = cv2.blur(image, (self.ksize,self.ksize))
        return blurred


# technique = blurringAugmentationTechnique(5)
# image = cv2.imread("LPR1.jpg")
# cv2.imshow("resized",technique.apply(image))
# cv2.waitKey(0)
cb9900a1952de20d3bccbd7012f2f43f7275339e
<mask token>


class blurringAugmentationTechnique(PositionInvariantTechnique):
    <mask token>
    <mask token>

<mask token>


class blurringAugmentationTechnique(PositionInvariantTechnique):

    def __init__(self, parameters):
        PositionInvariantTechnique.__init__(self, parameters)
        if 'ksize' in list(parameters.keys()):
            self.ksize = int(parameters['ksize'])
        else:
            self.ksize = 3
        if not self.ksize in [3, 5, 7, 9, 11]:
            raise NameError('Invalid value for ksize')
    <mask token>

<mask token>


class blurringAugmentationTechnique(PositionInvariantTechnique):

    def __init__(self, parameters):
        PositionInvariantTechnique.__init__(self, parameters)
        if 'ksize' in list(parameters.keys()):
            self.ksize = int(parameters['ksize'])
        else:
            self.ksize = 3
        if not self.ksize in [3, 5, 7, 9, 11]:
            raise NameError('Invalid value for ksize')

    def apply(self, image):
        blurred = cv2.blur(image, (self.ksize, self.ksize))
        return blurred

from __future__ import absolute_import
from .technique import PositionInvariantTechnique
import cv2
import numpy as np


class blurringAugmentationTechnique(PositionInvariantTechnique):

    def __init__(self, parameters):
        PositionInvariantTechnique.__init__(self, parameters)
        if 'ksize' in list(parameters.keys()):
            self.ksize = int(parameters['ksize'])
        else:
            self.ksize = 3
        if not self.ksize in [3, 5, 7, 9, 11]:
            raise NameError('Invalid value for ksize')

    def apply(self, image):
        blurred = cv2.blur(image, (self.ksize, self.ksize))
        return blurred

from __future__ import absolute_import
from .technique import PositionInvariantTechnique
import cv2
import numpy as np

class blurringAugmentationTechnique(PositionInvariantTechnique):

    # Valid values for ksize are 3,5,7,9, and 11
    def __init__(self,parameters):
        PositionInvariantTechnique.__init__(self, parameters)
        if 'ksize' in list(parameters.keys()):
            self.ksize = int(parameters["ksize"])
        else:
            self.ksize = 3
        if (not (self.ksize in [3,5,7,9,11])):
            raise NameError("Invalid value for ksize")


    def apply(self, image):
        blurred = cv2.blur(image, (self.ksize,self.ksize))
        return blurred


# technique = blurringAugmentationTechnique(5)
# image = cv2.imread("LPR1.jpg")
# cv2.imshow("resized",technique.apply(image))
# cv2.waitKey(0)