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        "author": "Dan Hendrycks",
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        "description": "# ImageNet-C Corruption Functions\n\nWith this package, it is possible to corrupt an image with ImageNet-C corruptions.\nThese functions are exposed with the function ```corrupt```.\n\nTry\n```\nfrom imagenet_c import corrupt\n\ncorrupt(<image>, corruption_number=0)\n```\n\nThe ```corrupt``` function looks like\n```\ndef corrupt(x, severity=1, corruption_name=None, corruption_number=-1):\n    \"\"\"\n    :param x: image to corrupt; a 224x224x3 numpy array in [0, 255]\n    :param severity: strength with which to corrupt x; an integer in [0, 5]\n    :param corruption_name: specifies which corruption function to call;\n    must be one of 'gaussian_noise', 'shot_noise', 'impulse_noise', 'defocus_blur',\n                    'glass_blur', 'motion_blur', 'zoom_blur', 'snow', 'frost', 'fog',\n                    'brightness', 'contrast', 'elastic_transform', 'pixelate', 'jpeg_compression',\n                    'speckle_noise', 'gaussian_blur', 'spatter', 'saturate';\n                    the last four are validation functions\n    :param corruption_number: the position of the corruption_name in the above list;\n    an integer in [0, 18]; useful for easy looping; 15, 16, 17, 18 are validation corruption numbers\n    :return: the image x corrupted by a corruption function at the given severity; same shape as input\n    \"\"\"\n    ...\n\n```\n\n\n",
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