# Copyright 2020 Google Research. 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. # ============================================================================== # Copyright 2020-2021 antillia.com Toshiyuki Arai # EfficientDetSavedModelCreator.py r"""Tool to inspect a model.""" import os #arai os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true' # import sys import time from typing import Text, Tuple, List from absl import app from absl import flags from absl import logging import numpy as np from PIL import Image import tensorflow.compat.v1 as tf import hparams_config import inference import utils import traceback import datetime from tensorflow.python.client import timeline # pylint: disable=g-direct-tensorflow-import from EfficientDetModelInspector import EfficientDetModelInspector class EfficientDetSavedModelCreator(EfficientDetModelInspector): """A simple helper class for inspecting a model.""" def __init__(self, config): super().__init__(config) print("=== EfficientDetSavedModelCreator") if os.path.exists(self.ckpt_path) == False: message = "---- Ckpt_model '" + self.ckpt_path + "' was not found -----" raise Exception (message) if os.path.exists(self.ckpt_path): if os.path.exists(self.saved_model_dir): now = datetime.datetime.now() now_str= "{0:%Y-%m-%d_%H_%M_%S}".format(now) print("now {}".format(now_str)) os.rename(self.saved_model_dir, self.saved_model_dir + "_" + now_str) #message = "---- Saved_model '" + self.saved_model_dir + "' already exists! -----" #raise Exception (message) def main(_): saved_model_config = "" if len(sys.argv)==2: saved_model_config = sys.argv[1] else: raise Exception("Usage: python EfficientDetSavedModelCreator.py saved_model_config") creator = EfficientDetSavedModelCreator(saved_model_config) creator.run_model() ## # if __name__ == '__main__': logging.set_verbosity(logging.WARNING) tf.enable_v2_tensorshape() tf.disable_eager_execution() app.run(main)