tf.image.rgb_to_yuv
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Converts one or more images from RGB to YUV.
tf.image.rgb_to_yuv(
images
)
Outputs a tensor of the same shape as the images tensor, containing the YUV
value of the pixels.
The output is only well defined if the value in images are in [0,1].
Usage Example:
x = [[[1.0, 2.0, 3.0],
[4.0, 5.0, 6.0]],
[[7.0, 8.0, 9.0],
[10.0, 11.0, 12.0]]]
tf.image.rgb_to_yuv(x)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 1.815 , 0.5831516, -0.7149856],
[ 4.815 , 0.5831516, -0.7149855]],
[[ 7.815 , 0.5831516, -0.7149856],
[10.815001 , 0.5831518, -0.7149852]]], dtype=float32)>
Args |
|---|
images
|
2-D or higher rank. Image data to convert. Last dimension must be
size 3.
|
Returns |
|---|
images
|
tensor with the same shape as images.
|
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Last updated 2020-10-01 UTC.
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TensorFlow 1 version
View source on GitHub