7 Star 22 Fork 4

Gitee 极速下载/FastPhotoStyle

加入 Gitee
与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)
免费加入
文件
此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库: https://github.com/NVIDIA/FastPhotoStyle
克隆/下载
process_stylization_folder.py 2.88 KB
一键复制 编辑 原始数据 按行查看 历史
Ming-Yu Liu 提交于 7年前 . Add the tutorial page
"""
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 os
import torch
from photo_wct import PhotoWCT
import process_stylization
parser = argparse.ArgumentParser(description='Photorealistic Image Stylization')
parser.add_argument('--model', default='./PhotoWCTModels/photo_wct.pth')
parser.add_argument('--cuda', type=bool, default=True, help='Enable CUDA.')
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('--folder', type=str, default='examples')
parser.add_argument('--beta', type=float, default=0.9999)
parser.add_argument('--cont_img_ext', type=str, default='.png')
parser.add_argument('--cont_seg_ext', type=str, default='.pgm')
parser.add_argument('--styl_img_ext', type=str, default='.png')
parser.add_argument('--styl_seg_ext', type=str, default='.pgm')
args = parser.parse_args()
folder = args.folder
cont_img_folder = os.path.join(folder, 'content_img')
cont_seg_folder = os.path.join(folder, 'content_seg')
styl_img_folder = os.path.join(folder, 'style_img')
styl_seg_folder = os.path.join(folder, 'style_seg')
outp_img_folder = os.path.join(folder, 'results')
cont_img_list = [f for f in os.listdir(cont_img_folder) if os.path.isfile(os.path.join(cont_img_folder, f))]
cont_img_list.sort()
# Load model
p_wct = PhotoWCT()
p_wct.load_state_dict(torch.load(args.model))
# Load Propagator
if args.fast:
from photo_gif import GIFSmoothing
p_pro = GIFSmoothing(r=35, eps=0.01)
else:
from photo_smooth import Propagator
p_pro = Propagator(args.beta)
for f in cont_img_list:
content_image_path = os.path.join(cont_img_folder, f)
content_seg_path = os.path.join(cont_seg_folder, f).replace(args.cont_img_ext, args.cont_seg_ext)
style_image_path = os.path.join(styl_img_folder, f)
style_seg_path = os.path.join(styl_seg_folder, f).replace(args.styl_img_ext, args.styl_seg_ext)
output_image_path = os.path.join(outp_img_folder, f)
print("Content image: " + content_image_path )
if os.path.isfile(content_seg_path):
print("Content mask: " + content_seg_path )
print("Style image: " + style_image_path )
if os.path.isfile(style_seg_path):
print("Style mask: " + style_seg_path )
process_stylization.stylization(
stylization_module=p_wct,
smoothing_module=p_pro,
content_image_path=content_image_path,
style_image_path=style_image_path,
content_seg_path=content_seg_path,
style_seg_path=style_seg_path,
output_image_path=output_image_path,
cuda=args.cuda,
save_intermediate=args.save_intermediate,
no_post=args.no_post
)
Loading...
马建仓 AI 助手
尝试更多
代码解读
代码找茬
代码优化
Python
1
https://gitee.com/mirrors/FastPhotoStyle.git
git@gitee.com:mirrors/FastPhotoStyle.git
mirrors
FastPhotoStyle
FastPhotoStyle
master

搜索帮助