python - How to make random gamma correction with tensorflow? -


how make random gamma correction tensorflow?

i trying this:

a, b = tf.unstack(tf.random_uniform([2], dtype=tf.float32)) r = tf.image.adjust_gamma(image, gamma=a, gain=b)

but i've got error result:

file "/venv/local/lib/python3.5/site-packages/tensorflow/python/ops/image_ops_impl.py", line 999, in adjust_gamma     if gamma < 0: file "/venv/local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 564, in __bool__ raise typeerror("using `tf.tensor` python `bool` not allowed. " typeerror: using `tf.tensor` python `bool` not allowed. use `if t not none:` instead of `if t:` test if tensor defined, , use tensorflow ops such tf.cond execute subgraphs conditioned on value of tensor.

here gamma , gain not tensor, normal python scalar

 gamma = np.random.uniform(low=0, high=3, size=[1,])  gain = np.random.uniform(low=0, high=1, size=[1,])  r = tf.image.adjust_gamma(image, gamma=gamma[0], gain=gain[0])

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