Add new operations
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def main():
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import Augmentor
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p = [Augmentor.Pipeline("Images/TrainingImages/glass"),
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Augmentor.Pipeline("Images/TrainingImages/metal"),
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Augmentor.Pipeline("Images/TrainingImages/paper"),
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Augmentor.Pipeline("Images/TrainingImages/plastic")]
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for i in range(len(p)):
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# Setting rotate values
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p[i].rotate(probability=0.7, max_left_rotation=10, max_right_rotation=10)
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# Setting zoom values
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for i in range(len(p)):
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# Setting the operations to perform on image set
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p[i].rotate(probability=0.7, max_left_rotation=10, max_right_rotation=10)
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p[i].zoom(probability=0.5, min_factor=1.1, max_factor=1.5)
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p[i].flip_random(probability=0.6)
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p[i].skew(probability=0.7, magnitude=0.7)
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# Size of training sample
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p[i].sample(1000)
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p[i].sample(2000)
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p[i].process()
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