tfops-aug

TFOps-Aug: Implementation of policy-based image augmentation techniques based on TF2 Operations. All augmentations as efficient Tensorflow 2.11.0 operations. Easy integration into a tf.data API pipeline. (by TillBeemelmanns)

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  • tfops-aug: Lightweight and fast image augmentation library based on TensorFlow Ops
    1 project | /r/tensorflow | 20 Dec 2022
    With tfops-aug, you can easily apply an augmentation policy to your images, including shearing, translations, random gamma, random color shifts, solarization, posterization, histogram equalization, and more. The library is fully compatible with Tensorflow's data pipelines, so you can easily integrate it into your existing projects. And because it uses only Tensorflow operations, it's fast and efficient and can be directly applied on a tf.Tensor of type tf.uint8.

Stats

Basic tfops-aug repo stats
1
14
4.9
over 1 year ago

TillBeemelmanns/tfops-aug is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of tfops-aug is Python.


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