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data.py
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data.py
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"""
author: lzhbrian (https://lzhbrian.me)
date: 2019.5.28
"""
import torch
import torchvision
import torchvision.transforms as transforms
import PIL
from PIL import Image
class SinganDataset(torch.utils.data.Dataset):
def __init__(self, img_list, transform=None):
self.img_list = img_list
self.transform = transform
def __len__(self):
return len(self.img_list)
def __getitem__(self, idx):
img = Image.open(self.img_list[idx])
img = img.convert('RGB')
img = self.transform(img)
return img
def get_dataloader(scale, batch_size=1, multiple=3):
img_list = ['resources/test1.png'] * multiple
transform_list = [
transforms.Resize((scale, scale), PIL.Image.LANCZOS),
transforms.ToTensor(),
transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
]
data_transforms = transforms.Compose(transform_list)
dataset = SinganDataset(img_list, data_transforms)
dataloader = torch.utils.data.DataLoader(dataset,
batch_size=batch_size,
shuffle=True)
return dataloader