Modifier and Type | Class and Description |
---|---|
static class |
CropAndResizeGradBoxes.Options
Optional attributes for
CropAndResizeGradBoxes |
operation
Modifier and Type | Method and Description |
---|---|
Output<Float> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<Float> grads,
Operand<T> image,
Operand<Float> boxes,
Operand<Integer> boxInd,
CropAndResizeGradBoxes.Options... options)
Factory method to create a class wrapping a new CropAndResizeGradBoxes operation.
|
static CropAndResizeGradBoxes.Options |
method(String method) |
Output<Float> |
output()
A 2-D tensor of shape `[num_boxes, 4]`.
|
equals, hashCode, op, toString
public static <T extends Number> CropAndResizeGradBoxes create(Scope scope, Operand<Float> grads, Operand<T> image, Operand<Float> boxes, Operand<Integer> boxInd, CropAndResizeGradBoxes.Options... options)
scope
- current scopegrads
- A 4-D tensor of shape `[num_boxes, crop_height, crop_width, depth]`.image
- A 4-D tensor of shape `[batch, image_height, image_width, depth]`.
Both `image_height` and `image_width` need to be positive.boxes
- A 2-D tensor of shape `[num_boxes, 4]`. The `i`-th row of the tensor
specifies the coordinates of a box in the `box_ind[i]` image and is specified
in normalized coordinates `[y1, x1, y2, x2]`. A normalized coordinate value of
`y` is mapped to the image coordinate at `y * (image_height - 1)`, so as the
`[0, 1]` interval of normalized image height is mapped to
`[0, image_height - 1] in image height coordinates. We do allow y1 > y2, in
which case the sampled crop is an up-down flipped version of the original
image. The width dimension is treated similarly. Normalized coordinates
outside the `[0, 1]` range are allowed, in which case we use
`extrapolation_value` to extrapolate the input image values.boxInd
- A 1-D tensor of shape `[num_boxes]` with int32 values in `[0, batch)`.
The value of `box_ind[i]` specifies the image that the `i`-th box refers to.options
- carries optional attributes valuespublic static CropAndResizeGradBoxes.Options method(String method)
method
- A string specifying the interpolation method. Only 'bilinear' is
supported for now.public Output<Float> asOutput()
Operand
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.
asOutput
in interface Operand<Float>
OperationBuilder.addInput(Output)
Copyright © 2022. All rights reserved.