# Copyright (c) 2022 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.

import os

import sys

import argparse

import paddle

from ppgan.apps import SwinIRPredictor

sys.path.insert(0, os.getcwd())

if __name__ == "__main__":

parser = argparse.ArgumentParser()

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 checkpoint path")

parser.add_argument("--seed",

type=int,

default=None,

help="sample random seed for model's image generation")

parser.add_argument('--images_path',

default=None,

required=True,

type=str,

help='Single image or images directory.')

parser.add_argument("--cpu",

dest="cpu",

action="store_true",

help="cpu mode.")

args = parser.parse_args()

if args.cpu:

paddle.set_device('cpu')

predictor = SwinIRPredictor(output_path=args.output_path,

weight_path=args.weight_path,

seed=args.seed)

predictor.run(images_path=args.images_path)