tf.contrib.image.transform

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.