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        "author": "Samuel M.H.",
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        "description": "# Data Augmentator\n\n## Description\nThis tool allows to generate modified data while keeping the statistical invariant, also known as data augmentation. It is useful to train machine learning models that need a huge amount of data and reduce the variance in predictions, see the [Bias\u2013variance tradeoff](https://en.wikipedia.org/wiki/Bias%E2%80%93variance_tradeoff).  \n\n\n## Features\n### Images\n  * Calculate new point positions.\n  * Recalculate bounding boxes.\n  * Command Line Interface\n```bash\npython3 -m data_augmentation.img -h\n```\n\n\n### TODO\n* PIP package\n* Other domains than images.\n\n\n## Alternatives\nThis library is intented for internal uses of the lab so there could be others that fit better to your needs, see:\n* [imgaug](https://github.com/aleju/imgaug)\n\n\n",
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