Created
April 9, 2019 08:20
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import os | |
try: | |
import Augmentor | |
except ImportError: | |
os.system('pip install Augmentor') | |
PATH="/path/to/image/folder" # path for images to be augmented | |
n=200 # no of images after augmentation | |
p = Augmentor.Pipeline(PATH) | |
p.scale(probability=0.2, scale_factor=1.2) | |
p.resize(probability=1.0, width=120, height=120) | |
p.resize(probability=0.1, width=100, height=200, resample_filter=u'BICUBIC') | |
p.zoom(probability=0.5, min_factor=1.1, max_factor=1.5) | |
p.zoom_random(probability=0.5, percentage_area=0.8) | |
p.flip_top_bottom(probability=0.5) | |
p.flip_left_right(probability=0.5) | |
p.rotate(probability=0.7, max_left_rotation=10, max_right_rotation=10) | |
p.rotate90(probability=0.5) | |
p.rotate180(probability=0.5) | |
p.rotate270(probability=0.5) | |
p.rotate_random_90(probability=0.1) | |
p.rotate_without_crop(probability=0.01, max_left_rotation=20, max_right_rotation=20, expand=False) | |
p.shear(probability=0.2, max_shear_left=2, max_shear_right=3) | |
p.skew(probability=0.3, magnitude=1) | |
p.skew_corner(probability=0.01, magnitude=1) | |
p.skew_left_right(probability=0.02, magnitude=1) | |
p.skew_tilt(probability=0.03, magnitude=1) | |
p.skew_top_bottom(probability=0.04, magnitude=1) | |
p.random_brightness(probability=0.4, min_factor=0, max_factor=0.65) | |
p.random_color(probability=0.3, min_factor=0.4, max_factor=0.6) | |
p.random_contrast(probability=0.2, min_factor=0, max_factor=1) | |
# p.random_erasing(probability=0.3, rectangle_area=0.2) | |
# p.random_distortion(probability=1, grid_width=4, grid_height=4, magnitude=8) | |
# p.gaussian_distortion(probability, grid_width, grid_height, magnitude, corner, method, mex=0.5, mey=0.5, sdx=0.05, sdy=0.05) | |
# p.black_and_white(probability=0.6, threshold=128) | |
# p.greyscale(probability) | |
# p.histogram_equalisation(probability=1.0) | |
# p.invert(probability) | |
# p.crop_by_size(probability, width, height, centre=True) | |
# p.crop_centre(probability, percentage_area, randomise_percentage_area=False) | |
# p.crop_random(probability, percentage_area, randomise_percentage_area=False) | |
p.sample(n) |
Change the value of n to be the number of augmented images to be created.
Check into Augmentor library for implementation of each augmentation techniques.
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The program will create augmented images and will save it in outputs folder under the PATH specified.