def demonstrate_wrong_predictions(self):
from dir_processing import DirProcessing
from visualization import Visualization
for i in range(len(self.predict_labels)):
test_label = self.test_labels[i]
predict_label = self.predict_labels[i]
if test_label != predict_label:
test_expression = Classifier.get_expression_from_label(test_label)
predict_expression = Classifier.get_expression_from_label(predict_label)
print "Wrong prediction: {}, Right prediction: {}.".format(predict_expression, test_expression)
landmarks_url = self.test_urls[i]
img_url = DirProcessing.generate_img_url_from_landmarks_url(landmarks_url)
Visualization.draw_landmarks_on_img(img_url)
