| 14 | from torch.utils.data import DataLoader,Dataset |
| 15 | |
| 16 | class vanGoPhotoDataset(Dataset): |
| 17 | def __init__(self,root_vango,root_photo,transform=None): |
| 18 | super(vanGoPhotoDataset, self).__init__() |
| 19 | self.root_vango = root_vango |
| 20 | self.root_photo = root_photo |
| 21 | self.transform = transform |
| 22 | |
| 23 | self.vango_Images = os.listdir(self.root_vango) |
| 24 | self.photo_Images = os.listdir(self.root_photo) |
| 25 | |
| 26 | self.length_dataset = max(len(self.vango_Images),len(self.photo_Images)) |
| 27 | self.vango_len = len(self.vango_Images) |
| 28 | self.photo_len = len(self.photo_Images) |
| 29 | |
| 30 | def __len__(self): |
| 31 | return self.length_dataset |
| 32 | |
| 33 | def __getitem__(self, index): |
| 34 | vango_img = self.vango_Images[index % self.vango_len] |
| 35 | photo_img = self.photo_Images[index % self.photo_len] |
| 36 | |
| 37 | vango_path = os.path.join(self.root_vango,vango_img) |
| 38 | photo_path = os.path.join(self.root_photo,photo_img) |
| 39 | |
| 40 | vango_img = np.array(Image.open(vango_path).convert("RGB")) |
| 41 | photo_img = np.array(Image.open(photo_path).convert("RGB")) |
| 42 | |
| 43 | if self.transform: |
| 44 | argumentation = self.transform(image = vango_img,image0 = photo_img) |
| 45 | vango_img = argumentation["image"] |
| 46 | photo_img = argumentation["image0"] |
| 47 | return vango_img,photo_img |
| 48 | |
| 49 | |