The implementation on iOS using Core ML

It is now time to jump into the coding part of the application. We are using a model developed using the Caffe deep learning framework by Berkeley AI Research (BAIR) team as well as the community of contributors. As a first step, we need to convert the existing Caffe models into Core ML models to be utilized in our application:

//Downloading Age and Gender models 
wget 
 http://www.openu.ac.il/home/hassner/projects/cnn_agegender/cnn_age_gen
        der_models_and_data.0.0.2.zip
unzip -a cnn_age_gender_models_and_data.0.0.2.zip

Now, go to the extracted folder and convert the model into a Core ML model:

import coremltools

folder = 'cnn_age_gender_models_and_data.0.0.2'

coreml_model = coremltools.converters.caffe.convert(
 (folder + '/age_net.caffemodel', folder + '/deploy_age.prototxt'),
  image_input_names = &apos...