Test faces to get older and younger with CycleGAN

[geekmister]

The sample code

import torch
from torchvision import transforms
from PIL import Image
from models import create_model
from options.test_options import TestOptions

# 加载模型
opt = TestOptions().parse()
opt.name = 'facades_label2photo_pretrained'
opt.model = 'test'
opt.no_dropout = True
model = create_model(opt)
model.setup(opt)

# 加载图像
image_path = 'path_to_your_image.jpg'
image = Image.open(image_path).convert('RGB')
transform = transforms.Compose([
    transforms.Resize((256, 256)),
    transforms.ToTensor(),
    transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
])
image = transform(image).unsqueeze(0)

# 生成变老或变年轻的图像
with torch.no_grad():
    output = model.netG(image)
output_image = transforms.ToPILImage()(output.squeeze().cpu())

# 保存结果
output_image.save('output_image.jpg')

[geekmister]

CycleGAN is not have python package, only provide source code way, and I need to pack a python package to use!

Solution steps:

• [ ] Leraning pack python package