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import imgaug as ia
from imgaug import augmenters as iaa
def get():
def sometimes(aug): return iaa.Sometimes(0.5, aug)
return iaa.Sequential(
[
# apply the following augmenters to most images
iaa.Fliplr(0.5), # horizontally flip 50% of all images
iaa.Flipud(0.2), # vertically flip 20% of all images
# crop images by -5% to 10% of their height/width
sometimes(iaa.CropAndPad(
percent=(-0.05, 0.1),
pad_mode=ia.ALL,
pad_cval=(0, 255)
)),
sometimes(iaa.Affine(
# scale images to 80-120% of their size, individually per axis
scale={'x': (0.8, 1.2), 'y': (0.8, 1.2)},
# translate by -20 to +20 percent (per axis)
translate_percent={'x': (-0.2, 0.2), 'y': (-0.2, 0.2)},
rotate=(-45, 45), # rotate by -45 to +45 degrees
shear=(-16, 16), # shear by -16 to +16 degrees
# use nearest neighbour or bilinear interpolation (fast)
order=[0, 1],
# if mode is constant, use a cval between 0 and 255
cval=(0, 255),
# use any of scikit-image's warping modes (see 2nd image from the top for examples)
mode=ia.ALL
)),
# execute 0 to 5 of the following (less important) augmenters per image
# don't execute all of them, as that would often be way too strong
iaa.SomeOf((0, 5),
[
# convert images into their superpixel representation
sometimes(iaa.Superpixels(
p_replace=(0, 1.0), n_segments=(20, 200))),
iaa.OneOf([
# blur images with a sigma between 0 and 3.0
iaa.GaussianBlur((0, 3.0)),
# blur image using local means with kernel sizes between 2 and 7
iaa.AverageBlur(k=(2, 7)),
# blur image using local medians with kernel sizes between 2 and 7
iaa.MedianBlur(k=(3, 11)),
]),
iaa.Sharpen(alpha=(0, 1.0), lightness=(
0.75, 1.5)), # sharpen images
iaa.Emboss(alpha=(0, 1.0), strength=(
0, 2.0)), # emboss images
# search either for all edges or for directed edges,
# blend the result with the original image using a blobby mask
iaa.SimplexNoiseAlpha(iaa.OneOf([
iaa.EdgeDetect(alpha=(0.5, 1.0)),
iaa.DirectedEdgeDetect(
alpha=(0.5, 1.0), direction=(0.0, 1.0)),
])),
# add gaussian noise to images
iaa.AdditiveGaussianNoise(loc=0, scale=(
0.0, 0.05*255), per_channel=0.5),
iaa.OneOf([
# randomly remove up to 10% of the pixels
iaa.Dropout((0.01, 0.1), per_channel=0.5),
iaa.CoarseDropout((0.03, 0.15), size_percent=(
0.02, 0.05), per_channel=0.2),
]),
# invert color channels
iaa.Invert(0.05, per_channel=True),
# change brightness of images (by -10 to 10 of original value)
iaa.Add((-10, 10), per_channel=0.5),
# change hue and saturation
iaa.AddToHueAndSaturation((-20, 20)),
# either change the brightness of the whole image (sometimes
# per channel) or change the brightness of subareas
iaa.OneOf([
iaa.Multiply((0.5, 1.5), per_channel=0.5),
iaa.FrequencyNoiseAlpha(
exponent=(-4, 0),
first=iaa.Multiply((0.5, 1.5), per_channel=True),
second=iaa.ContrastNormalization((0.5, 2.0))
)
]),
# improve or worsen the contrast
iaa.ContrastNormalization((0.5, 2.0), per_channel=0.5),
iaa.Grayscale(alpha=(0.0, 1.0)),
# move pixels locally around (with random strengths)
sometimes(iaa.ElasticTransformation(
alpha=(0.5, 3.5), sigma=0.25)),
# sometimes move parts of the image around
sometimes(iaa.PiecewiseAffine(scale=(0.01, 0.05))),
sometimes(iaa.PerspectiveTransform(scale=(0.01, 0.1)))
],
random_order=True
)
],
random_order=False
)
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