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
import paddlex.utils.logging as logging


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(
        "--data_conversion",
        "-dc",
        action="store_true",
        default=False,
        help="convert the dataset to the standard format")
    parser.add_argument(
        "--source",
        "-se",
        type=_text_type,
        default=None,
        help="define dataset format before the conversion")
    parser.add_argument(
        "--to",
        "-to",
        type=_text_type,
        default=None,
        help="define dataset format after the conversion")
    parser.add_argument(
        "--pics",
        "-p",
        type=_text_type,
        default=None,
        help="define pictures directory path")
    parser.add_argument(
        "--annotations",
        "-a",
        type=_text_type,
        default=None,
        help="define annotations directory path")
    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"

        model = pdx.load_model(args.model_dir)
        if model.status == "Normal" or model.status == "Prune":
            logging.error(
                "Only support inference model, try to export model first as below,",
                exit=False)
            logging.error(
                "paddlex --export_inference --model_dir model_path --save_dir infer_model"
            )
        pdx.convertor.export_onnx_model(model, args.save_dir)
        
    if args.data_conversion:
        assert args.source is not None, "--source should be defined while converting dataset"
        assert args.to is not None, "--to should be defined to confirm the taregt dataset format"
        assert args.pics is not None, "--pics should be defined to confirm the pictures path"
        assert args.annotations is not None, "--annotations should be defined to confirm the annotations path"
        assert args.save_dir is not None, "--save_dir should be defined to store taregt dataset"
        if args.source == 'labelme' and args.to == 'ImageNet':
            logging.error(
                "The labelme dataset can not convert to the ImageNet dataset.",
                exit=False)
        if args.source == 'jingling' and args.to == 'PascalVOC':
            logging.error(
                "The jingling dataset can not convert to the PascalVOC dataset.",
                exit=False)
        pdx.tools.convert.dataset_conversion(args.source, args.to, 
                                             args.pics, args.annotations, args.save_dir )
        


if __name__ == "__main__":
    main()