mediapipe/mediapipe/examples/desktop/youtube8m/generate_vggish_frozen_graph.py
MediaPipe Team af67642055 Project import generated by Copybara.
PiperOrigin-RevId: 267274408
2019-09-04 19:00:29 -07:00

71 lines
2.1 KiB
Python

# Copyright 2019 The MediaPipe Authors.
#
# 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.
r"""Code to clone the github repository, download the checkpoint and generate the frozen graph.
The frozen VGGish checkpoint will be saved to `/tmp/mediapipe/vggish_new.pb`.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
from absl import app
import tensorflow as tf
from tensorflow.python.tools import freeze_graph
BASE_DIR = '/tmp/mediapipe/'
def create_vggish_frozen_graph():
"""Create the VGGish frozen graph."""
os.system('git clone https://github.com/tensorflow/models.git')
sys.path.append('models/research/audioset/vggish/')
import vggish_slim
os.system('curl -O https://storage.googleapis.com/audioset/vggish_model.ckpt')
ckpt_path = 'vggish_model.ckpt'
with tf.Graph().as_default(), tf.Session() as sess:
vggish_slim.define_vggish_slim(training=False)
vggish_slim.load_vggish_slim_checkpoint(sess, ckpt_path)
saver = tf.train.Saver(tf.all_variables())
freeze_graph.freeze_graph_with_def_protos(
sess.graph_def,
saver.as_saver_def(),
ckpt_path,
'vggish/fc2/BiasAdd',
restore_op_name=None,
filename_tensor_name=None,
output_graph='/tmp/mediapipe/vggish_new.pb',
clear_devices=True,
initializer_nodes=None)
os.system('rm -rf models/')
os.system('rm %s' % ckpt_path)
def main(argv):
if len(argv) > 1:
raise app.UsageError('Too many command-line arguments.')
create_vggish_frozen_graph()
if __name__ == '__main__':
app.run(main)