tf.raw_ops.RGBToHSV
Converts one or more images from RGB to HSV.
tf.raw_ops.RGBToHSV(
images, name=None
)
Outputs a tensor of the same shape as the images tensor, containing the HSV value of the pixels. The output is only well defined if the value in images are in [0,1].
output[..., 0] contains hue, output[..., 1] contains saturation, and output[..., 2] contains value. All HSV values are in [0,1]. A hue of 0 corresponds to pure red, hue 1/3 is pure green, and 2/3 is pure blue.
Usage Example:
blue_image = tf.stack([
tf.zeros([5,5]),
tf.zeros([5,5]),
tf.ones([5,5])],
axis=-1)
blue_hsv_image = tf.image.rgb_to_hsv(blue_image)
blue_hsv_image[0,0].numpy()
array([0.6666667, 1. , 1. ], dtype=float32)
| Args | |
|---|---|
images |
A Tensor. Must be one of the following types: half, bfloat16, float32, float64. 1-D or higher rank. RGB data to convert. Last dimension must be size 3. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as images. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/RGBToHSV