ExtractImagePatches
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Extract `patches` from `images` and put them in the "depth" output dimension.
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T>
|
asOutput()
Returns the symbolic handle of the tensor.
|
static
<T extends TType>
ExtractImagePatches<T>
|
create( Scope scope, Operand<T> images, List<Long> ksizes, List<Long> strides, List<Long> rates, String padding)
Factory method to create a class wrapping a new ExtractImagePatches operation.
|
Output<T>
|
patches()
4-D Tensor with shape `[batch, out_rows, out_cols, ksize_rows *
ksize_cols * depth]` containing image patches with size
`ksize_rows x ksize_cols x depth` vectorized in the "depth" dimension.
|
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
From interface
org.tensorflow.Operand
abstract
Output<T>
|
asOutput()
Returns the symbolic handle of the tensor.
|
abstract
T
|
asTensor()
Returns the tensor at this operand.
|
abstract
Shape
|
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
|
abstract
Class<T>
|
type()
Returns the tensor type of this operand
|
Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"ExtractImagePatches"
Public Methods
public
Output<T>
asOutput
()
Returns the symbolic handle of the 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
ExtractImagePatches<T>
create
(Scope scope, Operand<T> images, List<Long> ksizes, List<Long> strides, List<Long> rates, String padding)
Factory method to create a class wrapping a new ExtractImagePatches operation.
Parameters
scope |
current scope |
images |
4-D Tensor with shape `[batch, in_rows, in_cols, depth]`. |
ksizes |
The size of the sliding window for each dimension of `images`. |
strides |
How far the centers of two consecutive patches are in
the images. Must be: `[1, stride_rows, stride_cols, 1]`. |
rates |
Must be: `[1, rate_rows, rate_cols, 1]`. This is the
input stride, specifying how far two consecutive patch samples are in the
input. Equivalent to extracting patches with
`patch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1)`, followed by
subsampling them spatially by a factor of `rates`. This is equivalent to
`rate` in dilated (a.k.a. Atrous) convolutions. |
padding |
The type of padding algorithm to use. |
Returns
- a new instance of ExtractImagePatches
public
Output<T>
patches
()
4-D Tensor with shape `[batch, out_rows, out_cols, ksize_rows *
ksize_cols * depth]` containing image patches with size
`ksize_rows x ksize_cols x depth` vectorized in the "depth" dimension. Note
`out_rows` and `out_cols` are the dimensions of the output patches.
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Last updated 2021-11-29 UTC.
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