def precompute_gram_matrices(image, final_endpoint='fc8'):
"""Pre-computes the Gram matrices on a given image.
Args:
image: 4-D tensor. Input (batch of) image(s).
final_endpoint: str, name of the final layer to compute Gram matrices for.
Defaults to 'fc8'.
Returns:
dict mapping layer names to their corresponding Gram matrices.
"""
with tf.Session() as session:
end_points = vgg.vgg_16(image, final_endpoint=final_endpoint)
tf.train.Saver(slim.get_variables('vgg_16')).restore(
session, vgg.checkpoint_file())
return dict((key, gram_matrix(value).eval())
for key, value in end_points.items())
def init_fn_train(session):
saver_vgg.restore(session, vgg.checkpoint_file())
def init_fn(session):
saver.restore(session, vgg.checkpoint_file())
def init_fn_finetune(session):
saver_vgg.restore(session, vgg.checkpoint_file())
saver_n_styles.restore(
session, os.path.expanduser(FLAGS.checkpoint))
