img_transform: Transform

In tfaddons: Interface to 'TensorFlow SIG Addons'

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: 
transform = img_transform(img, c(1.0, 1.0, -250, 0.0, 1.0, 0.0, 0.0, 0.0))

## End(Not run)

tfaddons documentation built on July 2, 2020, 2:12 a.m.