contrib.image.transform
tf.contrib.image.transform
tf.contrib.image.transform
transform( images, transforms, interpolation='NEAREST' )
Defined in tensorflow/contrib/image/python/ops/image_ops.py
.
Applies the given transform(s) to the image(s).
Args:
-
images
: A tensor of shape (num_images, num_rows, num_columns, num_channels) (NHWC), (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW). -
transforms
: Projective transform matrix/matrices. A vector of length 8 or tensor of size N x 8. If one row of transforms is [a0, a1, a2, b0, b1, b2, c0, c1], then it maps the output point(x, y)
to a transformed input point(x', y') = ((a0 x + a1 y + a2) / k, (b0 x + b1 y + b2) / k)
, wherek = c0 x + c1 y + 1
. The transforms are inverted compared to the transform mapping input points to output points. interpolation: Interpolation mode. Supported values: "NEAREST", "BILINEAR".
Returns:
Image(s) with the same type and shape as images
, with the given transform(s) applied. Transformed coordinates outside of the input image will be filled with zeros.
Raises:
-
TypeError
: Ifimage
is an invalid type.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/image/transform