lapstyle.py

import paddle
import os
import sys

sys.path.insert(0, os.getcwd())
from ppgan.apps import LapStylePredictor
import argparse

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--content_img", type=str, help="path to content image")

    parser.add_argument("--output_path",
                        type=str,
                        default='output_dir',
                        help="path to output image dir")

    parser.add_argument("--weight_path",
                        type=str,
                        default=None,
                        help="path to model weight path")

    parser.add_argument(
        "--style",
        type=str,
        default='starrynew',
        help=
        "if weight_path is None, style can be chosen in 'starrynew', 'circuit', 'ocean' and 'stars'"
    )

    parser.add_argument("--style_image_path",
                        type=str,
                        default=None,
                        help="if weight_path is not None, path to style image")

    parser.add_argument("--cpu",
                        dest="cpu",
                        action="store_true",
                        help="cpu mode.")

    args = parser.parse_args()

    if args.cpu:
        paddle.set_device('cpu')

    predictor = LapStylePredictor(output=args.output_path,
                                  style=args.style,
                                  weight_path=args.weight_path,
                                  style_image_path=args.style_image_path)
    predictor.run(args.content_img)