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. |