tf.image.rgb_to_yiq
Converts one or more images from RGB to YIQ.
tf.image.rgb_to_yiq(
images
)
Outputs a tensor of the same shape as the images tensor, containing the YIQ
value of the pixels.
The output is only well defined if the value in images are in [0,1].
Usage Example:
x = tf.constant([[[1.0, 2.0, 3.0]]])
tf.image.rgb_to_yiq(x)
<tf.Tensor: shape=(1, 1, 3), dtype=float32,
numpy=array([[[ 1.815 , -0.91724455, 0.09962624]]], 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 2021-08-16 UTC.
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TensorFlow 1 version
View source on GitHub