Aliases:
tf.contrib.gan.eval.classifier_metrics.preprocess_image
tf.contrib.gan.eval.preprocess_image
tf.contrib.gan.eval.preprocess_image(
images,
height=INCEPTION_DEFAULT_IMAGE_SIZE,
width=INCEPTION_DEFAULT_IMAGE_SIZE,
scope=None
)
Defined in tensorflow/contrib/gan/python/eval/python/classifier_metrics_impl.py
.
Prepare a batch of images for evaluation.
This is the preprocessing portion of the graph from http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz.
Note that it expects Tensors in [0, 255]. This function maps pixel values to [-1, 1] and resizes to match the InceptionV1 network.
Args:
images
: 3-D or 4-D Tensor of images. Values are in [0, 255].height
: Integer. Height of resized output image.width
: Integer. Width of resized output image.scope
: Optional scope for name_scope.
Returns:
3-D or 4-D float Tensor of prepared image(s). Values are in [-1, 1].