2019SZI-Projekt/Logic/TrashRecognition/AugmentImages.py
2019-05-05 16:56:09 +02:00

24 lines
755 B
Python

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