img_unwrap: Uwrap
In tfaddons: Interface to 'TensorFlow SIG Addons'
Description
Usage
Arguments
Details
Value
Description
Unwraps an image produced by wrap.
Usage
1
Arguments
image
image
replace
a one or three value 1D tensor to fill empty pixels.
Details
Where there is a 0 in the last channel for every spatial position,
the rest of the three channels in that spatial dimension are grayed (set to 128).
Operations like translate and shear on a wrapped Tensor will leave 0s in empty
locations. Some transformations look at the intensity of values to do preprocessing,
and we want these empty pixels to assume the 'average' value, rather than pure black.
Value
a 3D image Tensor with 3 channels.
tfaddons documentation built on July 2, 2020, 2:12 a.m.
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Description Usage Arguments Details Value
Description
Unwraps an image produced by wrap.
Usage
1 |
Arguments
image |
image |
replace |
a one or three value 1D tensor to fill empty pixels. |
Details
Where there is a 0 in the last channel for every spatial position, the rest of the three channels in that spatial dimension are grayed (set to 128). Operations like translate and shear on a wrapped Tensor will leave 0s in empty locations. Some transformations look at the intensity of values to do preprocessing, and we want these empty pixels to assume the 'average' value, rather than pure black.
Value
a 3D image Tensor with 3 channels.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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