File size: 1,329 Bytes
d1bfee5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | import os
from PIL import Image
from torch.utils.data import Dataset
import numpy as np
class CycleGANDataset(Dataset):
def __init__(self, root_horse, root_zebra, transform=None):
self.root_horse = root_horse
self.root_zebra = root_zebra
self.transform = transform
self.horse_images = os.listdir(root_horse)
self.zebra_images = os.listdir(root_zebra)
self.length_dataset = max(len(self.horse_images), len(self.zebra_images))
self.horse_len = len(self.horse_images)
self.zebra_len = len(self.zebra_images)
def __len__(self):
return self.length_dataset
def __getitem__(self, index):
horse_img = self.horse_images[index % self.horse_len]
zebra_img = self.zebra_images[index % self.zebra_len]
horse_path = os.path.join(self.root_horse, horse_img)
zebra_path = os.path.join(self.root_zebra, zebra_img)
horse_img = np.array(Image.open(horse_path).convert("RGB"))
zebra_img = np.array(Image.open(zebra_path).convert("RGB"))
if self.transform:
augmentations = self.transform(image=horse_img, image0=zebra_img)
horse_img = augmentations["image"]
zebra_img = augmentations["image0"]
return horse_img, zebra_img
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