Aliases:
tf.extract_image_patches
tf.image.extract_image_patches
tf.image.extract_image_patches(
images,
ksizes,
strides,
rates,
padding,
name=None
)
Defined in generated file: tensorflow/python/ops/gen_array_ops.py
.
Extract patches
from images
and put them in the "depth" output dimension.
Args:
images
: ATensor
. Must be one of the following types:float32
,float64
,int32
,uint8
,int16
,int8
,int64
,bfloat16
,uint16
,half
,uint32
,uint64
. 4-D Tensor with shape[batch, in_rows, in_cols, depth]
.ksizes
: A list ofints
that has length>= 4
. The size of the sliding window for each dimension ofimages
.strides
: A list ofints
that has length>= 4
. 1-D of length 4. How far the centers of two consecutive patches are in the images. Must be:[1, stride_rows, stride_cols, 1]
.rates
: A list ofints
that has length>= 4
. 1-D of length 4. 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 withpatch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1)
, followed by subsampling them spatially by a factor ofrates
. This is equivalent torate
in dilated (a.k.a. Atrous) convolutions.padding
: Astring
from:"SAME", "VALID"
. The type of padding algorithm to use.We specify the size-related attributes as:
ksizes = [1, ksize_rows, ksize_cols, 1] strides = [1, strides_rows, strides_cols, 1] rates = [1, rates_rows, rates_cols, 1]
name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as images
.