#!/usr/bin/env python3
"""
Copyright (c) 2018 Intel Corporation
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.
"""
import sys
from mo.utils.versions_checker import check_python_version
if __name__ == "__main__":
ret_code = check_python_version()
if ret_code:
sys.exit(ret_code)
from mo.main import main
from mo.utils.cli_parser import get_tf_cli_parser
sys.exit(main(get_tf_cli_parser(), 'tf'))
def convert_to_openvino(args, input_dims, graph_chars):
if args.transformations_config is None:
print(
"Error:--transformations_config args are required for openvino conversion"
)
return
if args.openvino_dir is None:
openvino_dir = os.getenv("INTEL_OPENVINO_DIR")
if openvino_dir is None:
print(
"Could not find an OpenVINO installation. Assuming location in /opt/intel/openvino, but check that"
"OpenVINO is installed")
openvino_dir = "/opt/intel/openvino"
else:
openvino_dir = args.openvino_dir
sys.path.insert(1, openvino_dir + "/deployment_tools/model_optimizer")
from mo.main import main
from mo.utils.cli_parser import get_tf_cli_parser
sys.argv = ['']
# Set input model
sys.argv.append("--input_model")
sys.argv.append(args.input)
# Set transformation config
sys.argv.append("--transformations_config")
sys.argv.append(args.transformations_config)
# Set pipeline
if args.pipeline_config is None:
sp = args.input.rsplit('/', 1)
if len(sp) == 1:
localdir = './'
else:
localdir = sp[0] + '/'
pipelines = glob.glob(localdir + '*.config')
if len(pipelines) != 1:
print("Error: No clear pipeline file")
exit(1)
args.pipeline_config = pipelines[0]
sys.argv.append("--tensorflow_object_detection_api_pipeline_config")
sys.argv.append(args.pipeline_config)
# Set input dimensions
sys.argv.append("--input_shape")
sys.argv.append(str(input_dims))
# Check reversal
if args.channel_order == "RGB":
sys.argv.append("--reverse_input_channels")
# Set output dir
sys.argv.append("--output_dir")
sys.argv.append(args.output_dir.rsplit('/', 1)[0] + '/')
# Set output nodes
sys.argv.append("--output")
sys.argv.append(','.join([node.name for node in graph_chars.output_nodes]))
main(get_tf_cli_parser(), 'tf')