Add basic coreml and mlkit conversion scripts

coreml.py

@@ -1,9 +1,9 @@
 import coremltools as ct
 
 
-def convert_coreml(saved_model_path):
-    mlmodel = ct.convert(saved_model_path)
-    mlmodel.save('../mobilenet_nnconv.mlmodel')
+def convert_coreml(model_path, save_path='../mobilenet_nnconv5.mlmodel'):
+    mlmodel = ct.convert(model_path)
+    mlmodel.save(save_path)
 
 
 if __name__ == '__main__':

tensorflow_lite.py

@@ -0,0 +1,15 @@
+import tensorflow as tf
+
+
+def convert_tensorflow_lite(model_path, save_path='../mobilenet_nnconv5.tflite'):
+    # Convert the model
+    converter = tf.lite.TFLiteConverter.from_saved_model(model_path)  # path to the SavedModel directory
+    tflite_model = converter.convert()
+
+    # Save the model.
+    with open('model.tflite', 'wb') as f:
+        f.write(tflite_model)
+
+
+if __name__ == '__main__':
+    convert_tensorflow_lite('../mobilenet-nnconv5-e12-experimental')