variable_resolution1.py

#set up MobileNet GlobalMaxPooling and unsepcified input resolution

inputs = Input(shape=(None,None,3))
net = MobileNetV2(include_top=False, alpha=0.35, weights='imagenet', input_tensor=inputs, classes=n_classes)
net = GlobalMaxPooling2D()(net.output)
outputs = Dense(n_classes,activation='softmax')(net)

model = Model(inputs=inputs,outputs=outputs)
model.compile(optimizer='Adam', loss='sparse_categorical_crossentropy',metrics=['sparse_categorical_accuracy'])