|View source on GitHub|
Randomly changes jpeg encoding quality for inducing jpeg noise.
Compat aliases for migration
See Migration guide for more details.
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 must be in the interval
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.random_jpeg_quality(x, 75, 95) <tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=...>
| ||3D image. Size of the last dimension must be 1 or 3.|
| ||Minimum jpeg encoding quality to use.|
| ||Maximum jpeg encoding quality to use.|
| ||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.|
| Adjusted image(s), same shape and DType as |
| || if |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.