#!/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')