Returns a set of windows called glimpses extracted at location
offsets from the input tensor. If the windows only partially
overlaps the inputs, the non overlapping areas will be filled with
random noise.
The result is a 4-D tensor of shape [batch_size, glimpse_height,
glimpse_width, channels]. The channels and batch dimensions are the
same as that of the input tensor. The height and width of the output
windows are specified in the size parameter.
The argument normalized and centered controls how the windows are built:
If the coordinates are normalized but not centered, 0.0 and 1.0
correspond to the minimum and maximum of each height and width
dimension.
If the coordinates are both normalized and centered, they range from
-1.0 to 1.0. The coordinates (-1.0, -1.0) correspond to the upper
left corner, the lower right corner is located at (1.0, 1.0) and the
center is at (0, 0).
If the coordinates are not normalized they are interpreted as
numbers of pixels.
Args
input
A Tensor of type float32.
A 4-D float tensor of shape [batch_size, height, width, channels].
size
A Tensor of type int32.
A 1-D tensor of 2 elements containing the size of the glimpses
to extract. The glimpse height must be specified first, following
by the glimpse width.
offsets
A Tensor of type float32.
A 2-D integer tensor of shape [batch_size, 2] containing
the y, x locations of the center of each window.
centered
An optional bool. Defaults to True.
indicates if the offset coordinates are centered relative to
the image, in which case the (0, 0) offset is relative to the center
of the input images. If false, the (0,0) offset corresponds to the
upper left corner of the input images.
normalized
An optional bool. Defaults to True.
indicates if the offset coordinates are normalized.
uniform_noise
An optional bool. Defaults to True.
indicates if the noise should be generated using a
uniform distribution or a Gaussian distribution.
noise
An optional string. Defaults to "uniform".
indicates if the noise should uniform, gaussian, or
zero. The default is uniform which means the noise type
will be decided by uniform_noise.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]