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dataset.py
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dataset.py
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from torch.utils.data import Dataset
import PIL.Image as Image
import os
def make_dataset(root):
imgs=[]
#训练集中的n张图片
n = 10
for i in range(n):
root1 = root + '/img'
root2 = root + '/gt'
img = os.path.join(root1, "%d.jpg" % i)
mask = os.path.join(root2, "%d.png" % i)
imgs.append((img, mask))
return imgs
def make_test_dataset(root):
imgs=[]
#训练集中的n张图片
n = 5
for i in range(n):
root1 = root + '/img'
root2 = root + '/gt'
img = os.path.join(root1, "%d.jpg" % i)
mask = os.path.join(root2, "%d.png" % i)
imgs.append((img, mask))
return imgs
def make_dataset_unlabeled(root):
imgs = []
n = 40
for i in range(n):
root1 = root + '/img'
img = os.path.join(root1, "%d.jpg" % (i + 10))
imgs.append(img)
return imgs
class MyDataset(Dataset):
def __init__(self, root, transform=None, target_transform=None):
imgs = make_dataset(root)
self.imgs = imgs
self.transform = transform
self.target_transform = target_transform
def __getitem__(self, index):
x_path, y_path = self.imgs[index]
img_x = Image.open(x_path)
img_y = Image.open(y_path)
if self.transform is not None:
img_x = self.transform(img_x)
if self.target_transform is not None:
img_y = self.target_transform(img_y)
return img_x, img_y
def __len__(self):
return len(self.imgs)
class MyDataset_unlabeled(Dataset):
def __init__(self, root, transform=None):
imgs = make_dataset_unlabeled(root)
self.imgs = imgs
self.transform = transform
def __getitem__(self, index):
x_path = self.imgs[index]
img_x = Image.open(x_path)
if self.transform is not None:
img_x = self.transform(img_x)
return img_x
def __len__(self):
return len(self.imgs)
class MyDataset_test(Dataset):
def __init__(self, root, transform=None, target_transform=None):
imgs = make_test_dataset(root)
self.imgs = imgs
self.transform = transform
self.target_transform = target_transform
def __getitem__(self, index):
x_path, y_path = self.imgs[index]
img_x = Image.open(x_path)
img_y = Image.open(y_path)
if self.transform is not None:
img_x = self.transform(img_x)
if self.target_transform is not None:
img_y = self.target_transform(img_y)
return img_x, img_y
def __len__(self):
return len(self.imgs)