tfaddons (version 0.10.0)

img_transform: Transform

Description

Applies the given transform(s) to the image(s).

Usage

img_transform(
  images,
  transforms,
  interpolation = "NEAREST",
  output_shape = NULL,
  name = NULL
)

Arguments

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), 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 NULL, output is the same size as input image.

name

The name of the op.

Value

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.

Examples

# NOT RUN {
# }
# NOT RUN {
transform = img_transform(img, c(1.0, 1.0, -250, 0.0, 1.0, 0.0, 0.0, 0.0))
# }
# NOT RUN {


# }