Applies the given transform(s) to the image(s).
tf.contrib.image.transform(
images, transforms, interpolation='NEAREST', output_shape=None, name=None
)
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). The rank must be statically known (the
shape is not TensorShape(None) .
|
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) ,
where k = c0 x + c1 y + 1 . The transforms are inverted compared to
the transform mapping input points to output points. Note that gradients
are not backpropagated into transformation parameters.
|
interpolation
|
Interpolation mode. Supported values: "NEAREST", "BILINEAR".
|
output_shape
|
Output dimesion after the transform, [height, width].
If None, output is the same size as input image.
|
name
|
The name of the op.
|
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
|
If image is an invalid type.
|
ValueError
|
If output shape is not 1-D int32 Tensor.
|