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import os.path |
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from pathlib import Path |
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from typing import Any, Callable, Optional, Tuple, Union |
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import numpy as np |
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from PIL import Image |
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from .utils import check_integrity, download_url |
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from .vision import VisionDataset |
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class SEMEION(VisionDataset): |
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r"""`SEMEION <http://archive.ics.uci.edu/ml/datasets/semeion+handwritten+digit>`_ Dataset. |
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Args: |
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root (str or ``pathlib.Path``): Root directory of dataset where directory |
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``semeion.py`` exists. |
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transform (callable, optional): A function/transform that takes in a PIL image |
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and returns a transformed version. E.g, ``transforms.RandomCrop`` |
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target_transform (callable, optional): A function/transform that takes in the |
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target and transforms it. |
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download (bool, optional): If true, downloads the dataset from the internet and |
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puts it in root directory. If dataset is already downloaded, it is not |
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downloaded again. |
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""" |
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url = "http://archive.ics.uci.edu/ml/machine-learning-databases/semeion/semeion.data" |
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filename = "semeion.data" |
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md5_checksum = "cb545d371d2ce14ec121470795a77432" |
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def __init__( |
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self, |
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root: Union[str, Path], |
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transform: Optional[Callable] = None, |
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target_transform: Optional[Callable] = None, |
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download: bool = True, |
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) -> None: |
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super().__init__(root, transform=transform, target_transform=target_transform) |
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if download: |
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self.download() |
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if not self._check_integrity(): |
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raise RuntimeError("Dataset not found or corrupted. You can use download=True to download it") |
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fp = os.path.join(self.root, self.filename) |
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data = np.loadtxt(fp) |
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self.data = (data[:, :256] * 255).astype("uint8") |
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self.data = np.reshape(self.data, (-1, 16, 16)) |
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self.labels = np.nonzero(data[:, 256:])[1] |
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def __getitem__(self, index: int) -> Tuple[Any, Any]: |
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""" |
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Args: |
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index (int): Index |
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Returns: |
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tuple: (image, target) where target is index of the target class. |
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""" |
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img, target = self.data[index], int(self.labels[index]) |
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img = Image.fromarray(img, mode="L") |
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if self.transform is not None: |
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img = self.transform(img) |
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if self.target_transform is not None: |
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target = self.target_transform(target) |
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return img, target |
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def __len__(self) -> int: |
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return len(self.data) |
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def _check_integrity(self) -> bool: |
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root = self.root |
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fpath = os.path.join(root, self.filename) |
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if not check_integrity(fpath, self.md5_checksum): |
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return False |
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return True |
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def download(self) -> None: |
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if self._check_integrity(): |
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return |
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root = self.root |
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download_url(self.url, root, self.filename, self.md5_checksum) |
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