tf.image.stateless_random_jpeg_quality

Deterministically radomize jpeg encoding quality for inducing jpeg noise.

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).

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].

Usage Example:

x = [[[1, 2, 3],
      [4, 5, 6]],
     [[7, 8, 9],
      [10, 11, 12]]]
x_uint8 = tf.cast(x, tf.uint8)
seed = (1, 2)
tf.image.stateless_random_jpeg_quality(x_uint8, 75, 95, seed)
<tf.Tensor: shape=(2, 2, 3), dtype=uint8, numpy=
array([[[ 0,  4,  5],
        [ 1,  5,  6]],
       [[ 5,  9, 10],
        [ 5,  9, 10]]], dtype=uint8)>

image 3D image. Size of the last dimension must be 1 or 3.
min_jpeg_