76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
# 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
|
|
import sys
|
|
__dir__ = os.path.dirname(os.path.abspath(__file__))
|
|
sys.path.append(__dir__)
|
|
sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
|
|
|
|
|
|
def set_paddle_flags(**kwargs):
|
|
for key, value in kwargs.items():
|
|
if os.environ.get(key, None) is None:
|
|
os.environ[key] = str(value)
|
|
|
|
|
|
# NOTE(paddle-dev): All of these flags should be
|
|
# set before `import paddle`. Otherwise, it would
|
|
# not take any effect.
|
|
set_paddle_flags(
|
|
FLAGS_eager_delete_tensor_gb=0, # enable GC to save memory
|
|
)
|
|
|
|
import program
|
|
from paddle import fluid
|
|
from ppocr.utils.utility import initial_logger
|
|
logger = initial_logger()
|
|
from ppocr.utils.save_load import init_model
|
|
|
|
|
|
|
|
def main():
|
|
startup_prog, eval_program, place, config, _ = program.preprocess()
|
|
|
|
feeded_var_names, target_vars, fetches_var_name = program.build_export(
|
|
config, eval_program, startup_prog)
|
|
eval_program = eval_program.clone(for_test=True)
|
|
exe = fluid.Executor(place)
|
|
exe.run(startup_prog)
|
|
|
|
init_model(config, eval_program, exe)
|
|
|
|
save_inference_dir = config['Global']['save_inference_dir']
|
|
if not os.path.exists(save_inference_dir):
|
|
os.makedirs(save_inference_dir)
|
|
fluid.io.save_inference_model(
|
|
dirname=save_inference_dir,
|
|
feeded_var_names=feeded_var_names,
|
|
main_program=eval_program,
|
|
target_vars=target_vars,
|
|
executor=exe,
|
|
model_filename='model',
|
|
params_filename='params')
|
|
print("inference model saved in {}/model and {}/params".format(
|
|
save_inference_dir, save_inference_dir))
|
|
print("save success, output_name_list:", fetches_var_name)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|