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Propose your customize functions

beacon_aug will automatically mode your operator to augmentation operator

• Name: Class name has to be the same with python file name

  • if classname exist in json file in standard :

    • append a custom library function to the existing beacon_aug class

  • else:

    • create a beacon_aug class with the same name that only support the custom library

See example in KeepSizeCrop.py

Test the operator function itself:

from beacon_aug.generator.custom.KeepSizeCrop import KeepSizeCrop
op = KeepSizeCrop( scale=(0.08, 1.0))
img_transformed = op(img )

Test the augmentation wrapper:

import beacon_aug as BA
aug = BA.KeepSizeCrop(p=1, height=64,width=64, library="custom")
image_auged = aug(image=image)["image"]

Contribute to the repo

Create your own branch git branch -d {Your_LDAP}/{branch_name}