Applies the given transform to each of the images.
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`. If the transformed point lays outside of the input image, the output pixel is set to 0.
Nested Classes
class | ImageProjectiveTransformV2.Options |
Optional attributes for
ImageProjectiveTransformV2
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Public Methods
Output <T> |
asOutput
()
Returns the symbolic handle of a tensor.
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static <T extends Number> ImageProjectiveTransformV2 <T> | |
static ImageProjectiveTransformV2.Options |
fillMode
(String fillMode)
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Output <T> |
transformedImages
()
4-D with shape
`[batch, new_height, new_width, channels]`.
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Inherited Methods
Public Methods
public Output <T> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static ImageProjectiveTransformV2 <T> create ( Scope scope, Operand <T> images, Operand <Float> transforms, Operand <Integer> outputShape, String interpolation, Options... options)
Factory method to create a class wrapping a new ImageProjectiveTransformV2 operation.
Parameters
scope | current scope |
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images | 4-D with shape `[batch, height, width, channels]`. |
transforms | 2-D Tensor, `[batch, 8]` or `[1, 8]` matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1. If there is one row, the same transformation will be applied to all images. |
outputShape | 1-D Tensor [new_height, new_width]. |
interpolation | Interpolation method, "NEAREST" or "BILINEAR". |
options | carries optional attributes values |
Returns
- a new instance of ImageProjectiveTransformV2
public static ImageProjectiveTransformV2.Options fillMode (String fillMode)
Parameters
fillMode | Fill mode, "REFLECT", "WRAP", or "CONSTANT". |
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