datasets.py

import os
import torch
from torchvision.transforms import transforms
from PIL import Image

class HandGestureDataset(torch.utils.data.Dataset):
    def __init__(self, data_dir, transform=None):
        self.data_dir = data_dir
        self.transform = transform
        self.image_files = [os.path.join(self.data_dir, f) for f in os.listdir(self.data_dir) if f.endswith('.jpg')]

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

    def __getitem__(self, idx):
        image_path = self.image_files[idx]
        image = Image.open(image_path)

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

        label = self.get_label(image_path)

        return image, label

    def get_label(self, image_path):
        label = os.path.basename(os.path.dirname(image_path))
        return label