Randomly changes jpeg encoding quality for inducing jpeg noise.
tf.image.random_jpeg_quality(
image, min_jpeg_quality, max_jpeg_quality, seed=None
)
min_jpeg_quality must be in the interval [0, 100] and less than
max_jpeg_quality.
max_jpeg_quality must be in the interval [0, 100].
Args |
|---|
image
|
3D image. Size of the last dimension must be 1 or 3.
|
min_jpeg_quality
|
Minimum jpeg encoding quality to use.
|
max_jpeg_quality
|
Maximum jpeg encoding quality to use.
|
seed
|
An operation-specific seed. It will be used in conjunction with the
graph-level seed to determine the real seeds that will be used in this
operation. Please see the documentation of set_random_seed for its
interaction with the graph-level random seed.
|
Returns |
|---|
Adjusted image(s), same shape and DType as image.
|
Raises |
|---|
ValueError
|
if min_jpeg_quality or max_jpeg_quality is invalid.
|
TensorFlow 1 version
View source on GitHub