tfm.vision.preprocess_ops.random_jpeg_quality

Randomly encode the image as jpeg and decode it.

tfm.vision.preprocess_ops.random_jpeg_quality(
    image: tf.Tensor,
    min_quality: (int | tf.Tensor) = 20,
    max_quality: (int | tf.Tensor) = 100,
    prob_to_apply: (float | tf.Tensor) = 0.6
) -> tf.Tensor

Args
image	a uint8 'Tensor' of shape [height, width, 3] representing the input image.
min_quality	minimum jpeg quality in range of [0, 100].
max_quality	maximum jpeg quality in range of [0, 100].
prob_to_apply	probability to apply this augmentation.

Returns
image with jpeg quality changed