Opensource ML embedded evaluation kit

Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd
diff --git a/scripts/py/gen_audio_cpp.py b/scripts/py/gen_audio_cpp.py
new file mode 100644
index 0000000..54fdb23
--- /dev/null
+++ b/scripts/py/gen_audio_cpp.py
@@ -0,0 +1,153 @@
+#  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 set of audio clip in a given location into
+corresponding cpp files and a single hpp file referencing the vectors
+from the cpp files.
+"""
+import datetime
+import glob
+import math
+import os
+
+import numpy as np
+from os import path
+from argparse import ArgumentParser
+from jinja2 import Environment, FileSystemLoader
+from gen_utils import AudioUtils
+
+parser = ArgumentParser()
+parser.add_argument("--audio_path", type=str, help="path to audio folder to convert.")
+parser.add_argument("--source_folder_path", type=str, help="path to source folder to be generated.")
+parser.add_argument("--header_folder_path", type=str, help="path to header folder to be generated.")
+parser.add_argument("--sampling_rate", type=int, help="target sampling rate.", default=16000)
+parser.add_argument("--mono", type=bool, help="convert signal to mono.", default=True)
+parser.add_argument("--offset", type=float, help="start reading after this time (in seconds).", default=0)
+parser.add_argument("--duration", type=float, help="only load up to this much audio (in seconds).", default=0)
+parser.add_argument("--res_type", type=AudioUtils.res_data_type, help=f"Resample type: {AudioUtils.res_type_list()}.",
+                    default='kaiser_best')
+parser.add_argument("--min_samples", type=int, help="Minimum sample number.", default=16000)
+parser.add_argument("--license_template", type=str, help="Header template file",
+                    default="header_template.txt")
+parser.add_argument("-v", "--verbosity", action="store_true")
+args = parser.parse_args()
+
+env = Environment(loader=FileSystemLoader(os.path.join(os.path.dirname(__file__), 'templates')),
+                  trim_blocks=True,
+                  lstrip_blocks=True)
+
+
+def write_hpp_file(header_filepath, cc_filepath, header_template_file, num_audios, audio_filenames, audio_array_namesizes):
+    print(f"++ Generating {header_filepath}")
+
+    header_template = env.get_template(header_template_file)
+    hdr = header_template.render(script_name=os.path.basename(__file__),
+                                 gen_time=datetime.datetime.now(),
+                                 year=datetime.datetime.now().year)
+    env.get_template('AudioClips.hpp.template').stream(common_template_header=hdr,
+                                                       clips_count=num_audios,
+                                                       varname_size=audio_array_namesizes
+                                                       ) \
+        .dump(str(header_filepath))
+
+    print(f"++ Generating {cc_filepath}")
+
+    env.get_template('AudioClips.cc.template').stream(common_template_header=hdr,
+                                                       clips_count=num_audios,
+                                                       var_names=(name for name, _ in audio_array_namesizes),
+                                                       clip_sizes=(size for _, size in audio_array_namesizes),
+                                                       clip_names=audio_filenames) \
+        .dump(str(cc_filepath))
+
+
+def write_individual_audio_cc_file(clip_dirpath, clip_filename,
+                                   cc_filename, header_template_file, array_name,
+                                   sampling_rate_value, mono_value, offset_value, 
+                                   duration_value, res_type_value, min_len):
+    print(f"++ Converting {clip_filename} to {path.basename(cc_filename)}")
+    audio_filepath = path.join(clip_dirpath, clip_filename)
+    clip_data, samplerate = AudioUtils.load_resample_audio_clip(audio_filepath,
+                                                                sampling_rate_value, mono_value,
+                                                                offset_value, duration_value,
+                                                                res_type_value, min_len)
+
+    # Change from [-1, 1] fp32 range to int16 range.
+    clip_data = np.clip((clip_data * (1 << 15)), 
+                        np.iinfo(np.int16).min, 
+                        np.iinfo(np.int16).max).flatten().astype(np.int16)
+
+    header_template = env.get_template(header_template_file)
+    hdr = header_template.render(script_name=os.path.basename(__file__),
+                                 gen_time=datetime.datetime.now(),
+                                 file_name=clip_filename,
+                                 year=datetime.datetime.now().year)
+
+    hex_line_generator = (', '.join(map(hex, sub_arr))
+                          for sub_arr in np.array_split(clip_data, math.ceil(len(clip_data)/20)))
+
+    env.get_template('audio.cc.template').stream(common_template_header=hdr,
+                                                 size=len(clip_data),
+                                                 var_name=array_name,
+                                                 audio_data=hex_line_generator) \
+        .dump(str(cc_filename))
+
+    return len(clip_data)
+
+
+def main(args):
+    # Keep the count of the audio files converted
+    audioclip_idx = 0
+    audioclip_filenames = []
+    audioclip_array_names = []
+    header_filename = "InputFiles.hpp"
+    common_cc_filename = "InputFiles.cc"
+    header_filepath = path.join(args.header_folder_path, header_filename)
+    common_cc_filepath = path.join(args.source_folder_path, common_cc_filename)
+
+    if os.path.isdir(args.audio_path):  
+        filepaths = sorted(glob.glob(path.join(args.audio_path, '**/*.wav'), recursive=True))
+    elif os.path.isfile(args.audio_path):
+        filepaths = [args.audio_path]
+    else:
+        raise OSError("Directory or file does not exist.")
+
+    for filepath in filepaths:
+        filename = path.basename(filepath)	
+        clip_dirpath = path.dirname(filepath)
+        try:
+            audioclip_filenames.append(filename)
+
+            # Save the cc file
+            cc_filename = path.join(args.source_folder_path,
+                                    (filename.rsplit(".")[0]).replace(" ", "_") + ".cc")
+            array_name = "audio" + str(audioclip_idx)
+            array_size = write_individual_audio_cc_file(clip_dirpath, filename, cc_filename, args.license_template, array_name,
+                                                        args.sampling_rate, args.mono, args.offset,
+                                                        args.duration, args.res_type, args.min_samples)
+
+            audioclip_array_names.append((array_name, array_size))
+            # Increment audio index
+            audioclip_idx = audioclip_idx + 1
+        except:
+            if args.verbosity:
+                print(f"Failed to open {filename} as an audio.")
+
+    write_hpp_file(header_filepath, common_cc_filepath, args.license_template,
+                   audioclip_idx, audioclip_filenames, audioclip_array_names)
+
+
+if __name__ == '__main__':
+    main(args)