|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/ops/image_ops_impl.py#L2160-L2204) | Adjust the contrast of images by a random factor deterministically. tf.image.stateless_random_contrast( image, lower, upper, seed ) ### Used in the notebooks | Used in the tutorials | |---| | - [Data augmentation](https://www.tensorflow.org/tutorials/images/data_augmentation) | Guarantees the same results given the same `seed` independent of how many times the function is called, and independent of global seed settings (e.g. [`tf.random.set_seed`](https://www.tensorflow.org/api_docs/python/tf/random/set_seed)).


| ## Args || |---|---| | `image` | An image tensor with 3 or more dimensions. | | `lower` | float. Lower bound for the random contrast factor. | | `upper` | float. Upper bound for the random contrast factor. | | `seed` | A shape \[2\] Tensor, the seed to the random number generator. Must have dtype `int32` or `int64`. (When using XLA, only `int32` is allowed.) |
#### Usage Example: 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]]] seed = (1, 2) tf.image.stateless_random_contrast(x, 0.2, 0.5, seed)


| ## Returns || |---|---| | The contrast-adjusted image(s). ||



| ## Raises || |---|---| | `ValueError` | if `upper <= lower` or if `lower < 0`. |