Demo entry 3842838



Submitted by antoine on Mar 02, 2016 at 16:22
Language: Python. Code size: 966 Bytes.

Scripts to eval a model on LFW (Labeled Faces in the Wild).
from __future__ import division
import os
import argparse
import importlib
import imp
import numpy as np
from collections import defaultdict
import bokeh.plotting as bk_plot
from bokeh.palettes import Spectral10
from bokeh.embed import components
from sklearn.metrics import roc_curve, roc_auc_score
import jinja2

from datasets import lfw
from tensorflow_exp.triplet_loss.two_movies_test import compute_features

TEMPLATE_FILE = './templates/lfw.html'

def maybe_compute_features(files, net, features_file, read_image):
    """Computes LFW features if they do not exist yet."""
    if os.path.isfile(features_file):
        print('Loading features')
        return np.load(features_file)
        print('Computing features')
        features = compute_features(files, net, read_image=read_image), features)
    return features

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