# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # 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. from __future__ import absolute_import from __future__ import division from __future__ import print_function import os, sys # add python path of PadleDetection to sys.path parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2))) if parent_path not in sys.path: sys.path.append(parent_path) # ignore numba warning import warnings warnings.filterwarnings('ignore') import paddle from ppdet.core.workspace import load_config, merge_config from ppdet.utils.check import check_gpu, check_version, check_config from ppdet.utils.cli import ArgsParser from ppdet.engine import Detector from ppdet.utils.logger import setup_logger logger = setup_logger('export_model') def parse_args(): parser = ArgsParser() parser.add_argument( "--output_dir", type=str, default="output_inference", help="Directory for storing the output model files.") args = parser.parse_args() return args def run(FLAGS, cfg): # build detector detector = Detector(cfg, mode='test') # load weights detector.load_weights(cfg.weights, 'resume') # export model detector.export(FLAGS.output_dir) def main(): paddle.set_device("cpu") FLAGS = parse_args() cfg = load_config(FLAGS.config) # TODO: to be refined in the future if 'norm_type' in cfg and cfg['norm_type'] == 'sync_bn': FLAGS.opt['norm_type'] = 'bn' merge_config(FLAGS.opt) check_config(cfg) check_gpu(cfg.use_gpu) check_version() run(FLAGS, cfg) if __name__ == '__main__': main()