Adjust jpeg encoding quality of an image.
tf.image.adjust_jpeg_quality(
image, jpeg_quality, name=None
)
This is a convenience method that converts an image to uint8 representation,
encodes it to jpeg with jpeg_quality, decodes it, and then converts back
to the original data type.
jpeg_quality must be in the interval [0, 100].
Args |
|---|
image
|
3D image. Size of the last dimension must be None, 1 or 3.
|
jpeg_quality
|
Python int or Tensor of type int32. jpeg encoding quality.
|
name
|
A name for this operation (optional).
|
Returns |
|---|
Adjusted image, same shape and DType as image.
|
Usage Example:
>> import tensorflow as tf
>> x = tf.random.normal(shape=(256, 256, 3))
>> tf.image.adjust_jpeg_quality(x, 75)
Raises |
|---|
InvalidArgumentError
|
quality must be in [0,100]
|
InvalidArgumentError
|
image must have 1 or 3 channels
|
TensorFlow 1 version
View source on GitHub