Python get_generator_conditioning Examples

Example #1

def _get_generated_data(num_images_generated, conditional_eval, num_classes):
    """Get generated images."""
    noise = tf.random_normal([num_images_generated, 64])
    # If conditional, generate class-specific images.
    if conditional_eval:
        conditioning = util.get_generator_conditioning(num_images_generated,
                                                       num_classes)
        generator_inputs = (noise, conditioning)
        generator_fn = networks.conditional_generator
    else:
        generator_inputs = noise
        generator_fn = networks.generator
    # In order for variables to load, use the same variable scope as in the
    # train job.
    with tf.variable_scope('Generator'):
        data = generator_fn(generator_inputs, is_training=False)

    return data

Example #2

File: eval.py Project: IoannisKansizoglou/models

def _get_generated_data(num_images_generated, conditional_eval, num_classes):
  """Get generated images."""
  noise = tf.random_normal([num_images_generated, 64])
  # If conditional, generate class-specific images.
  if conditional_eval:
    conditioning = util.get_generator_conditioning(
        num_images_generated, num_classes)
    generator_inputs = (noise, conditioning)
    generator_fn = networks.conditional_generator
  else:
    generator_inputs = noise
    generator_fn = networks.generator
  # In order for variables to load, use the same variable scope as in the
  # train job.
  with tf.variable_scope('Generator'):
    data = generator_fn(generator_inputs, is_training=False)

  return data

Example #3

File: util_test.py Project: leizeling/Base_tensorflow-object_detection_2Dcord

 def test_get_generator_conditioning(self):
     conditioning = util.get_generator_conditioning(12, 4)
     self.assertEqual([12, 4], conditioning.shape.as_list())