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dataset.py
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dataset.py
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from torch.utils.data import Dataset
from datasets import load_dataset
from torchvision import transforms
import torch
# Transformations
transforms = transforms.Compose([
transforms.Resize(232),
transforms.CenterCrop(224),
transforms.RandomHorizontalFlip(p=0.5),
transforms.RandomVerticalFlip(p=0.5),
transforms.ToTensor(),
transforms.Normalize([0.3445, 0.3803, 0.4077], [0.0915, 0.0652, 0.0553])
])
class EuroSat(Dataset):
def __init__(self, data, transform=transforms, target_transform=None):
self.data = data
self.transform = transform
self.target_transform = target_transform
def __len__(self):
return len(self.data)
def __getitem__(self, idx):
image = self.data[idx]['image']
label = self.data[idx]['label']
if self.transform:
image = self.transform(image)
if self.target_transform:
label = self.target_transform(label)
return image, label