tensorflow:: ops:: CropAndResizeGradImage
#include <image_ops.h>
Computes the gradient of the crop_and_resize op wrt the input image tensor.
Summary
Args:
- 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 |
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CropAndResizeGradImage(const ::tensorflow::Scope & scope, ::tensorflow::Input grads, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input image_size, DataType T)
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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)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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Method(StringPiece x)
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Structs |
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tensorflow:: |
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 )