demo.py

"""
Copyright (C) 2018 NVIDIA Corporation.  All rights reserved.
Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
"""

from __future__ import print_function
import argparse
import torch
import process_stylization
from photo_wct import PhotoWCT
parser = argparse.ArgumentParser(description='Photorealistic Image Stylization')
parser.add_argument('--model', default='./PhotoWCTModels/photo_wct.pth')
parser.add_argument('--content_image_path', default='./images/content1.png')
parser.add_argument('--content_seg_path', default=[])
parser.add_argument('--style_image_path', default='./images/style1.png')
parser.add_argument('--style_seg_path', default=[])
parser.add_argument('--output_image_path', default='./results/example1.png')
parser.add_argument('--save_intermediate', action='store_true', default=False)
parser.add_argument('--fast', action='store_true', default=False)
parser.add_argument('--no_post', action='store_true', default=False)
parser.add_argument('--cuda', type=int, default=1, help='Enable CUDA.')
args = parser.parse_args()

# Load model
p_wct = PhotoWCT()
p_wct.load_state_dict(torch.load(args.model))

if args.fast:
    from photo_gif import GIFSmoothing
    p_pro = GIFSmoothing(r=35, eps=0.001)
else:
    from photo_smooth import Propagator
    p_pro = Propagator()
if args.cuda:
    p_wct.cuda(0)

process_stylization.stylization(
    stylization_module=p_wct,
    smoothing_module=p_pro,
    content_image_path=args.content_image_path,
    style_image_path=args.style_image_path,
    content_seg_path=args.content_seg_path,
    style_seg_path=args.style_seg_path,
    output_image_path=args.output_image_path,
    cuda=args.cuda,
    save_intermediate=args.save_intermediate,
    no_post=args.no_post
)