Add conversion script

Dockerfile

@@ -13,3 +13,8 @@ FROM python-ubuntu
 RUN apt-get update &&  apt-get install liblapack-dev libpng-dev libfreetype6-dev libqhull-dev git pkg-config portaudio19-dev swig libpulse-ocaml-dev gfortran libopenblas-dev libatlas-base-dev -y
 
 RUN pip3 install precise-lite
+
+COPY scripts/precise-convert-h5 /usr/local/bin/precise-convert-h5
+RUN chmod +x /usr/local/bin/precise-convert-h5
+
+COPY scripts/convert_h5.py /usr/local/lib/python3.6/dist-packages/precise_lite/scripts/convert_h5.py

scripts/convert_h5.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python3
+# Copyright 2019 Mycroft AI Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from prettyparse import Usage
+
+from precise_lite.model import create_model, ModelParams
+from precise_lite.scripts.train import BaseScript
+
+
+class ConvertH5(BaseScript):
+    usage = Usage('''
+        Convert a model to h5 format
+
+        :model str
+            Keras model file (.net) to load from
+
+        :-s --sensitivity float 0.2
+            Weighted loss bias. Higher values decrease increase positives
+
+        :-nv --no-validation
+            Disable accuracy and validation calculation
+            to improve speed during training
+
+        :-em --extra-metrics
+            Add extra metrics during training
+        ...
+    ''') | BaseScript.usage
+
+    def __init__(self, args):
+        super().__init__(args)
+
+        params = ModelParams(
+            skip_acc=self.args.no_validation, extra_metrics=self.args.extra_metrics,
+            loss_bias=1.0 - self.args.sensitivity
+        )
+        self.model = create_model(self.args.model, params)
+
+    def run(self):
+        print('Converting model to h5')
+
+        self.model.save(self.args.model + '.h5') # Save with '.h5' file extension to force format
+
+main = ConvertH5.run_main
+
+if __name__ == '__main__':
+    main()

scripts/precise-convert-h5

@@ -0,0 +1,8 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import re
+import sys
+from precise_lite.scripts.convert_h5 import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())