Opensource ML embedded evaluation kit
Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd
diff --git a/scripts/py/gen_labels_cpp.py b/scripts/py/gen_labels_cpp.py
new file mode 100644
index 0000000..1be9c63
--- /dev/null
+++ b/scripts/py/gen_labels_cpp.py
@@ -0,0 +1,81 @@
+#!env/bin/python3
+
+# Copyright (c) 2021 Arm Limited. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# 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.
+
+"""
+Utility script to convert a given text file with labels (annotations for an
+NN model output vector) into a vector list initialiser. The intention is for
+this script to be called as part of the build framework to auto-generate the
+cpp file with labels that can be used in the application without modification.
+"""
+import datetime
+import os
+from argparse import ArgumentParser
+from jinja2 import Environment, FileSystemLoader
+
+parser = ArgumentParser()
+
+# Label file path
+parser.add_argument("--labels_file", type=str, help="Path to the label text file", required=True)
+# Output file to be generated
+parser.add_argument("--source_folder_path", type=str, help="path to source folder to be generated.", required=True)
+parser.add_argument("--header_folder_path", type=str, help="path to header folder to be generated.", required=True)
+parser.add_argument("--output_file_name", type=str, help="Required output file name", required=True)
+# Namespaces
+parser.add_argument("--namespaces", action='append', default=[])
+# License template
+parser.add_argument("--license_template", type=str, help="Header template file",
+ default="header_template.txt")
+
+args = parser.parse_args()
+
+env = Environment(loader=FileSystemLoader(os.path.join(os.path.dirname(__file__), 'templates')),
+ trim_blocks=True,
+ lstrip_blocks=True)
+
+
+def main(args):
+ # Get the labels from text file
+ with open(args.labels_file, "r") as f:
+ labels = f.read().splitlines()
+
+ # No labels?
+ if len(labels) == 0:
+ raise Exception(f"no labels found in {args.label_file}")
+
+ header_template = env.get_template(args.license_template)
+ hdr = header_template.render(script_name=os.path.basename(__file__),
+ gen_time=datetime.datetime.now(),
+ file_name=os.path.basename(args.labels_file),
+ year=datetime.datetime.now().year)
+
+ hpp_filename = os.path.join(args.header_folder_path, args.output_file_name + ".hpp")
+ env.get_template('Labels.hpp.template').stream(common_template_header=hdr,
+ filename=(args.output_file_name).upper(),
+ namespaces=args.namespaces) \
+ .dump(str(hpp_filename))
+
+
+ cc_filename = os.path.join(args.source_folder_path, args.output_file_name + ".cc")
+ env.get_template('Labels.cc.template').stream(common_template_header=hdr,
+ labels=labels,
+ labelsSize=len(labels),
+ namespaces=args.namespaces) \
+ .dump(str(cc_filename))
+
+
+if __name__ == '__main__':
+ main(args)