def main():
multires_data, labels = load_standardized_multires()
model = multires_CNN(int(sys.argv[1]), int(sys.argv[2]), multires_data)
full = multires_data[0]
med = multires_data[1]
low = multires_data[2]
model.fit([full, med, low], labels, epochs=10)
def main():
multires_data, labels = load_standardized_multires()
model = multires_mobilenet(multires_data)
full = multires_data[0]
med = multires_data[1]
low = multires_data[2]
model.fit([full, med, low], labels, epochs=10)
def main():
'''previous non generator
remaining here in case needed later
'''
multires_data, labels = load_standardized_multires()
model = multires_squeezenet(multires_data, True)
full = multires_data[0]
med = multires_data[1]
low = multires_data[2]
model.fit([full, med, low], labels, epochs=10)
def get_data():
multires_data, labels = load_standardized_multires()
full = multires_data[0]
med = multires_data[1]
low = multires_data[2]
return multires_data, labels, full, med, low