tensorflow::ops::CropAndResizeGradImage
#include <image_ops.h>
Computes the gradient of the crop_and_resize op wrt the input image tensor.
Summary
Arguments:
- scope: A Scope object
- grads: A 4-D tensor of shape
[num_boxes, crop_height, crop_width, depth]
. - boxes: A 2-D tensor of shape
[num_boxes, 4]
. Thei
-th row of the tensor specifies the coordinates of a box in thebox_ind[i]
image and is specified in normalized coordinates[y1, x1, y2, x2]
. A normalized coordinate value ofy
is mapped to the image coordinate aty * (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 useextrapolation_value
to extrapolate the input image values. - box_ind: A 1-D tensor of shape
[num_boxes]
with int32 values in[0, batch)
. The value ofbox_ind[i]
specifies the image that thei
-th box refers to. - image_size: A 1-D tensor with value
[batch, image_height, image_width, depth]
containing the original image size. Bothimage_height
andimage_width
need to be positive.
Optional attributes (see Attrs
):
- method: A string specifying the interpolation method. Only 'bilinear' is supported for now.
Returns:
-
Output
: A 4-D tensor of shape[batch, image_height, image_width, depth]
.
Constructors and Destructors | |
---|---|
CropAndResizeGradImage(const ::tensorflow::Scope & scope, ::tensorflow::Input grads, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input image_size, DataType T) | |
CropAndResizeGradImage(const ::tensorflow::Scope & scope, ::tensorflow::Input grads, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input image_size, DataType T, const CropAndResizeGradImage::Attrs & attrs) |
Public attributes | |
---|---|
operation | |
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public static functions | |
---|---|
Method(StringPiece x) |
Structs | |
---|---|
tensorflow::ops::CropAndResizeGradImage::Attrs | Optional attribute setters for CropAndResizeGradImage. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
CropAndResizeGradImage
CropAndResizeGradImage(
const ::tensorflow::Scope & scope,
::tensorflow::Input grads,
::tensorflow::Input boxes,
::tensorflow::Input box_ind,
::tensorflow::Input image_size,
DataType T
)
CropAndResizeGradImage
CropAndResizeGradImage(
const ::tensorflow::Scope & scope,
::tensorflow::Input grads,
::tensorflow::Input boxes,
::tensorflow::Input box_ind,
::tensorflow::Input image_size,
DataType T,
const CropAndResizeGradImage::Attrs & attrs
)
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Method
Attrs Method(
StringPiece x
)
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/crop-and-resize-grad-image