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Unhardcode resample method for Distort operations #226

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Unhardcode resample method for Distort operations #226

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15 changes: 11 additions & 4 deletions Augmentor/Operations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,11 @@
# except ImportError:
# from io import StringIO

PIL_filters = {
'NEAREST' : Image.NEAREST,
'BILINEAR': Image.BILINEAR,
'BICUBIC' : Image.BICUBIC
}

class Operation(object):
"""
Expand Down Expand Up @@ -1356,7 +1361,7 @@ class Distort(Operation):
"""
This class performs randomised, elastic distortions on images.
"""
def __init__(self, probability, grid_width, grid_height, magnitude):
def __init__(self, probability, grid_width, grid_height, magnitude, resample="BICUBIC"):
"""
As well as the probability, the granularity of the distortions
produced by this class can be controlled using the width and
Expand Down Expand Up @@ -1385,6 +1390,7 @@ def __init__(self, probability, grid_width, grid_height, magnitude):
self.magnitude = abs(magnitude)
# TODO: Implement non-random magnitude.
self.randomise_magnitude = True
self.resample_method = PIL_filters[resample]

def perform_operation(self, images):
"""
Expand Down Expand Up @@ -1486,7 +1492,7 @@ def perform_operation(self, images):

def do(image):

return image.transform(image.size, Image.MESH, generated_mesh, resample=Image.BICUBIC)
return image.transform(image.size, Image.MESH, generated_mesh, resample=self.resample_method)

augmented_images = []

Expand All @@ -1500,7 +1506,7 @@ class GaussianDistortion(Operation):
"""
This class performs randomised, elastic gaussian distortions on images.
"""
def __init__(self, probability, grid_width, grid_height, magnitude, corner, method, mex, mey, sdx, sdy):
def __init__(self, probability, grid_width, grid_height, magnitude, corner, method, mex, mey, sdx, sdy, resample='BICUBIC'):
"""
As well as the probability, the granularity of the distortions
produced by this class can be controlled using the width and
Expand Down Expand Up @@ -1560,6 +1566,7 @@ def __init__(self, probability, grid_width, grid_height, magnitude, corner, meth
self.mey = mey
self.sdx = sdx
self.sdy = sdy
self.resample_method = PIL_filters[resample]

def perform_operation(self, images):
"""
Expand Down Expand Up @@ -1686,7 +1693,7 @@ def do(image):
for i in range(len(dimensions)):
generated_mesh.append([dimensions[i], polygons[i]])

return image.transform(image.size, Image.MESH, generated_mesh, resample=Image.BICUBIC)
return image.transform(image.size, Image.MESH, generated_mesh, resample=self.resample_method)

augmented_images = []

Expand Down