pyImageAugmentation

Image augumentation for deep learning.

Examples of usage

Renames all image files to SHA-1 format (sha1.jpeg/png)

./pyImageAug.py -i test/

Renames all image files to SHA-1 format (sha1.jpeg/png) and creates new augmented files based on original files with random transformations like

• gauss noise added
• rotatation
• translation
• perspective transformation
• blur
• flip horizontally
• affine transformation
• hue
• saturation
• contrast
• brightness
• mirror and mosaic
• mosaic from 4 images
• night
• vignette
• rain
• blackboxing

and mixes of all these methods.

./pyImageAug.py -i test/ -a

Help

usage: pyImageAug.py [-h] [-i INPUT] [-ar] [-v]

optional arguments:
  -h, --help       show this help message and exit
  -i INPUT, --input INPUT Input path
  -ar, --augmentation  Process extra image augmentation.
  -v, --verbose     Show verbose finded and processed data