Module: tf.contrib.gan.eval.classifier_metrics

Defined in tensorflow/contrib/gan/python/eval/python/classifier_metrics.py.

Model evaluation tools for TFGAN.

Functions

classifier_score(...): Classifier score for evaluating a conditional generative model.

classifier_score_from_logits(...): Classifier score for evaluating a generative model from logits.

diagonal_only_frechet_classifier_distance_from_activations(...): Classifier distance for evaluating a generative model.

frechet_classifier_distance(...): Classifier distance for evaluating a generative model.

frechet_classifier_distance_from_activations(...): Classifier distance for evaluating a generative model.

get_graph_def_from_disk(...): Get a GraphDef proto from a disk location.

get_graph_def_from_resource(...): Get a GraphDef proto from within a .par file.

get_graph_def_from_url_tarball(...): Get a GraphDef proto from a tarball on the web.

mean_only_frechet_classifier_distance_from_activations(...): Classifier distance for evaluating a generative model from activations.

preprocess_image(...): Prepare a batch of images for evaluation.

run_image_classifier(...): Runs a network from a frozen graph.

run_inception(...): Run images through a pretrained Inception classifier.

Other Members

INCEPTION_DEFAULT_IMAGE_SIZE

__all__

__cached__

__loader__

__spec__

frechet_inception_distance

inception_score