How to have similar predictions as Places365 Demo about keras-vgg16-places365

[albertobeto]

Different network architecture and training will lead to different prediction score.
But you can print the confidence with something like:

  predictions_to_return = 5
  preds = model.predict(image)[0]
  top_preds = np.argsort(preds)[::-1][0:predictions_to_return]
  top_preds_score = np.sort(preds)[::-1][0:predictions_to_return]

  for i in range(0, 5):
      print("{:.2f}".format(top_preds_score[i]*100)+'% ' +
            classes[top_preds[i]])

[northtree]

@GKalliatakis It seems that the official demo used ResNet instead of VGG16