train.py

from PIL import Image
from torch.utils.data import Dataset


class BrainTumorDataset(Dataset):
    def __init__(self, data_frame, transform=None):
        self.data_frame = data_frame
        self.transform = transform

    def __len__(self):
        return len(self.data_frame)

    def __getitem__(self, idx):
        img_path = self.data_frame.iloc[idx, 0]
        image = Image.open(img_path).convert("RGB")
        label = self.data_frame.iloc[idx, 1]

        if self.transform:
            image = self.transform(image)

        return image, label