def blind_test(feature_sets):
classifier = Classify(init=False)
classifier.network_filename = 'hl1__sizes-200-__acfn-rel-__dr-0.2-0.5-__lr0.1__mb100__mom0.9__seed1.hdf5'
classifier.initialize_network()
labels = []
for image in feature_sets:
image_1d = map(lambda value: value / 255.0, image)
image_2d = []
for row_idx in range(28):
image_2d.append([])
for col_idx in range(28):
image_2d[row_idx].append(image_1d[row_idx * 28 + col_idx])
label = classifier.classify(image_2d)
labels.append(label)
return labels
