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30 lines
978 B
Python
30 lines
978 B
Python
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import os
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from PIL import Image
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from torch.utils.data import Dataset
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import numpy as np
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class CarvanaDataset(Dataset):
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def __init__(self, image_dir, mask_dir, transform=None):
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self.image_dir = image_dir
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self.mask_dir = mask_dir
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self.transform = transform
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self.images = os.listdir(image_dir)
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def __len__(self):
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return len(self.images)
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def __getitem__(self, index):
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img_path = os.path.join(self.image_dir, self.images[index])
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mask_path = os.path.join(self.mask_dir, self.images[index].replace(".jpg", "_mask.gif"))
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image = np.array(Image.open(img_path).convert("RGB"))
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mask = np.array(Image.open(mask_path).convert("L"), dtype=np.float32)
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mask[mask == 255.0] = 1.0
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if self.transform is not None:
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augmentations = self.transform(image=image, mask=mask)
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image = augmentations["image"]
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mask = augmentations["mask"]
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return image, mask
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