tf.keras.preprocessing.image.apply_affine_transform
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Applies an affine transformation specified by the parameters given.
tf.keras.preprocessing.image.apply_affine_transform(
x, theta=0, tx=0, ty=0, shear=0, zx=1, zy=1, row_axis=0, col_axis=1,
channel_axis=2, fill_mode='nearest', cval=0.0, order=1
)
Arguments
x: 2D numpy array, single image.
theta: Rotation angle in degrees.
tx: Width shift.
ty: Heigh shift.
shear: Shear angle in degrees.
zx: Zoom in x direction.
zy: Zoom in y direction
row_axis: Index of axis for rows in the input image.
col_axis: Index of axis for columns in the input image.
channel_axis: Index of axis for channels in the input image.
fill_mode: Points outside the boundaries of the input
are filled according to the given mode
(one of `{'constant', 'nearest', 'reflect', 'wrap'}`).
cval: Value used for points outside the boundaries
of the input if `mode='constant'`.
order: int, order of interpolation
Returns
The transformed version of the input.
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Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.preprocessing.image.apply_affine_transform\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/preprocessing/image/apply_affine_transform) |\n\nApplies an affine transformation specified by the parameters given.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.preprocessing.image.apply_affine_transform`](/api_docs/python/tf/keras/preprocessing/image/apply_affine_transform)\n\n\u003cbr /\u003e\n\n tf.keras.preprocessing.image.apply_affine_transform(\n x, theta=0, tx=0, ty=0, shear=0, zx=1, zy=1, row_axis=0, col_axis=1,\n channel_axis=2, fill_mode='nearest', cval=0.0, order=1\n )\n\nArguments\n=========\n\n x: 2D numpy array, single image.\n theta: Rotation angle in degrees.\n tx: Width shift.\n ty: Heigh shift.\n shear: Shear angle in degrees.\n zx: Zoom in x direction.\n zy: Zoom in y direction\n row_axis: Index of axis for rows in the input image.\n col_axis: Index of axis for columns in the input image.\n channel_axis: Index of axis for channels in the input image.\n fill_mode: Points outside the boundaries of the input\n are filled according to the given mode\n (one of `{'constant', 'nearest', 'reflect', 'wrap'}`).\n cval: Value used for points outside the boundaries\n of the input if `mode='constant'`.\n order: int, order of interpolation\n\nReturns\n=======\n\n The transformed version of the input."]]
TensorFlow 1 version