def parse_args()

in archived/gluoncv_yolo_neo/tools/im2rec.py [0:0]

• 101 lines of code
• 1 McCabe index (conditional complexity)

def parse_args():
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description="Create an image list or \
        make a record database by reading from an image list",
    )
    parser.add_argument("prefix", help="prefix of input/output lst and rec files.")
    parser.add_argument("root", help="path to folder containing images.")

    cgroup = parser.add_argument_group("Options for creating image lists")
    cgroup.add_argument(
        "--list",
        action="store_true",
        help="If this is set im2rec will create image list(s) by traversing root folder\
        and output to <prefix>.lst.\
        Otherwise im2rec will read <prefix>.lst and create a database at <prefix>.rec",
    )
    cgroup.add_argument(
        "--exts",
        nargs="+",
        default=[".jpeg", ".jpg", ".png"],
        help="list of acceptable image extensions.",
    )
    cgroup.add_argument("--chunks", type=int, default=1, help="number of chunks.")
    cgroup.add_argument(
        "--train-ratio", type=float, default=1.0, help="Ratio of images to use for training."
    )
    cgroup.add_argument(
        "--test-ratio", type=float, default=0, help="Ratio of images to use for testing."
    )
    cgroup.add_argument(
        "--recursive",
        action="store_true",
        help="If true recursively walk through subdirs and assign an unique label\
        to images in each folder. Otherwise only include images in the root folder\
        and give them label 0.",
    )
    cgroup.add_argument(
        "--no-shuffle",
        dest="shuffle",
        action="store_false",
        help="If this is passed, \
        im2rec will not randomize the image order in <prefix>.lst",
    )
    rgroup = parser.add_argument_group("Options for creating database")
    rgroup.add_argument(
        "--pass-through",
        action="store_true",
        help="whether to skip transformation and save image as is",
    )
    rgroup.add_argument(
        "--resize",
        type=int,
        default=0,
        help="resize the shorter edge of image to the newsize, original images will\
        be packed by default.",
    )
    rgroup.add_argument(
        "--center-crop",
        action="store_true",
        help="specify whether to crop the center image to make it rectangular.",
    )
    rgroup.add_argument(
        "--quality",
        type=int,
        default=95,
        help="JPEG quality for encoding, 1-100; or PNG compression for encoding, 1-9",
    )
    rgroup.add_argument(
        "--num-thread",
        type=int,
        default=1,
        help="number of thread to use for encoding. order of images will be different\
        from the input list if >1. the input list will be modified to match the\
        resulting order.",
    )
    rgroup.add_argument(
        "--color",
        type=int,
        default=1,
        choices=[-1, 0, 1],
        help="specify the color mode of the loaded image.\
        1: Loads a color image. Any transparency of image will be neglected. It is the default flag.\
        0: Loads image in grayscale mode.\
        -1:Loads image as such including alpha channel.",
    )
    rgroup.add_argument(
        "--encoding",
        type=str,
        default=".jpg",
        choices=[".jpg", ".png"],
        help="specify the encoding of the images.",
    )
    rgroup.add_argument(
        "--pack-label",
        action="store_true",
        help="Whether to also pack multi dimensional label in the record file",
    )
    args = parser.parse_args()
    args.prefix = os.path.abspath(args.prefix)
    args.root = os.path.abspath(args.root)
    return args