About

Script to randomly apply Geometric Transformations/Noise on an image, generating an output slightly different (or not). This is usually used in Machine Learning for data augmentation.

Requeriments

• Python
• OpenCV
• numpy

Usage

dataAugmentation.py -i <imageName> -n <quantity> -r <randomizerLevel> -o <OutputFolder> -m <BorderMode> -w <noiseLevel>

Parameters

• -i : Image name

• -n : The number of output images

• -o : The output folder

• -r : The randomizer level specifies how aggressively the image will be changed. Default = 20

• -m : Border mode: default=0 (cv2.BORDER_REPLICATE) use 1 to choose cv2.BORDER_CONSTANT

• -w : Noise level between 0 and 1, default=0

• -h : help