Initial update

converters/keras2tflite.py

@@ -0,0 +1,30 @@
+import sys
+import os
+
+def explain():
+    print('This converter can be used to transform keras models in the .h5 format into a tflite flatbuffer model .tflite\n')
+    print('\tIt must be called like in this exampple: python keras2tflite.py /path/to/input_model.h5 ./output_model.tflite\n')
+    print('\tArguments expected: 2\n\tArguments received: ' + str(len(sys.argv))-1)
+    versions()
+
+def versions(k=''):
+    print(k + 'Python version >= 3.x')
+    print(k + 'Keras model version >= 2.2.4')
+    print(k + 'TensorFlow Lite version >= 1.11')
+    print(k + 'TensorFlow version >= 1.14.x')
+
+if len(sys.argv) != 3:
+    explain()
+
+else:
+    # Converting a tf.Keras model to a TensorFlow Lite model.
+    try:
+        os.system('tflite_convert \
+                --keras_model_file='+sys.argv[1]+' \
+                --output_file='+sys.argv[2])
+    except Exception as e:
+        print('\nError in the conversion to TFLite:\n' + str(e) + '\n')
+    except IOError as e:
+        print('\nError when trying to save the model:\n' + str(e) +'\n')
+    else:
+        print('\nModel saved!\n')