PaddleX/paddlex/command.py

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
# 
# 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 six import text_type as _text_type
import argparse
import sys


def arg_parser():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--model_dir",
        "-m",
        type=_text_type,
        default=None,
        help="define model directory path")
    parser.add_argument(
        "--save_dir",
        "-s",
        type=_text_type,
        default=None,
        help="path to save inference model")
    parser.add_argument(
        "--version",
        "-v",
        action="store_true",
        default=False,
        help="get version of PaddleX")
    parser.add_argument(
        "--export_inference",
        "-e",
        action="store_true",
        default=False,
        help="export inference model for C++/Python deployment")
    parser.add_argument(
        "--export_onnx",
        "-eo",
        action="store_true",
        default=False,
        help="export onnx model for deployment")
    parser.add_argument(
        "--fixed_input_shape",
        "-fs",
        default=None,
        help="export inference model with fixed input shape:[w,h]")
    return parser


def main():
    import os
    os.environ['CUDA_VISIBLE_DEVICES'] = ""

    import paddlex as pdx

    if len(sys.argv) < 2:
        print("Use command 'paddlex -h` to print the help information\n")
        return
    parser = arg_parser()
    args = parser.parse_args()

    if args.version:
        print("PaddleX-{}".format(pdx.__version__))
        print("Repo: https://github.com/PaddlePaddle/PaddleX.git")
        print("Email: paddlex@baidu.com")
        return

    if args.export_inference:
        assert args.model_dir is not None, "--model_dir should be defined while exporting inference model"
        assert args.save_dir is not None, "--save_dir should be defined to save inference model"

        fixed_input_shape = None
        if args.fixed_input_shape is not None:
            fixed_input_shape = eval(args.fixed_input_shape)
            assert len(
                fixed_input_shape
            ) == 2, "len of fixed input shape must == 2, such as [224,224]"
        else:
            fixed_input_shape = None

        model = pdx.load_model(args.model_dir, fixed_input_shape)
        model.export_inference_model(args.save_dir)

    if args.export_onnx:
        assert args.model_dir is not None, "--model_dir should be defined while exporting onnx model"
        assert args.save_dir is not None, "--save_dir should be defined to create onnx model"
        assert args.fixed_input_shape is not None, "--fixed_input_shape should be defined [w,h] to create onnx model, such as [224,224]"

        fixed_input_shape = []
        if args.fixed_input_shape is not None:
            fixed_input_shape = eval(args.fixed_input_shape)
            assert len(
                fixed_input_shape
            ) == 2, "len of fixed input shape must == 2, such as [224,224]"
        model = pdx.load_model(args.model_dir, fixed_input_shape)
        pdx.convertor.export_onnx_model(model, args.save_dir)


if __name__ == "__main__":
    main()