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172 lines
7.1 KiB
172 lines
7.1 KiB
import os
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from os import path
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from pathlib import Path
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from typing import Any, Callable, Dict, List, Optional, Tuple, Union
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from urllib.parse import urljoin
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from .folder import default_loader
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from .utils import check_integrity, download_and_extract_archive, verify_str_arg
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from .vision import VisionDataset
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class Places365(VisionDataset):
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r"""`Places365 <http://places2.csail.mit.edu/index.html>`_ classification dataset.
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Args:
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root (str or ``pathlib.Path``): Root directory of the Places365 dataset.
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split (string, optional): The dataset split. Can be one of ``train-standard`` (default), ``train-challenge``,
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``val``.
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small (bool, optional): If ``True``, uses the small images, i.e. resized to 256 x 256 pixels, instead of the
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high resolution ones.
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download (bool, optional): If ``True``, downloads the dataset components and places them in ``root``. Already
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downloaded archives are not downloaded again.
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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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loader (callable, optional): A function to load an image given its path.
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Attributes:
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classes (list): List of the class names.
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class_to_idx (dict): Dict with items (class_name, class_index).
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imgs (list): List of (image path, class_index) tuples
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targets (list): The class_index value for each image in the dataset
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Raises:
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RuntimeError: If ``download is False`` and the meta files, i.e. the devkit, are not present or corrupted.
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RuntimeError: If ``download is True`` and the image archive is already extracted.
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"""
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_SPLITS = ("train-standard", "train-challenge", "val")
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_BASE_URL = "http://data.csail.mit.edu/places/places365/"
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# {variant: (archive, md5)}
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_DEVKIT_META = {
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"standard": ("filelist_places365-standard.tar", "35a0585fee1fa656440f3ab298f8479c"),
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"challenge": ("filelist_places365-challenge.tar", "70a8307e459c3de41690a7c76c931734"),
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}
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# (file, md5)
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_CATEGORIES_META = ("categories_places365.txt", "06c963b85866bd0649f97cb43dd16673")
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# {split: (file, md5)}
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_FILE_LIST_META = {
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"train-standard": ("places365_train_standard.txt", "30f37515461640559006b8329efbed1a"),
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"train-challenge": ("places365_train_challenge.txt", "b2931dc997b8c33c27e7329c073a6b57"),
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"val": ("places365_val.txt", "e9f2fd57bfd9d07630173f4e8708e4b1"),
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}
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# {(split, small): (file, md5)}
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_IMAGES_META = {
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("train-standard", False): ("train_large_places365standard.tar", "67e186b496a84c929568076ed01a8aa1"),
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("train-challenge", False): ("train_large_places365challenge.tar", "605f18e68e510c82b958664ea134545f"),
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("val", False): ("val_large.tar", "9b71c4993ad89d2d8bcbdc4aef38042f"),
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("train-standard", True): ("train_256_places365standard.tar", "53ca1c756c3d1e7809517cc47c5561c5"),
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("train-challenge", True): ("train_256_places365challenge.tar", "741915038a5e3471ec7332404dfb64ef"),
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("val", True): ("val_256.tar", "e27b17d8d44f4af9a78502beb927f808"),
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}
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def __init__(
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self,
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root: Union[str, Path],
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split: str = "train-standard",
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small: bool = False,
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download: bool = False,
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transform: Optional[Callable] = None,
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target_transform: Optional[Callable] = None,
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loader: Callable[[str], Any] = default_loader,
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) -> None:
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super().__init__(root, transform=transform, target_transform=target_transform)
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self.split = self._verify_split(split)
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self.small = small
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self.loader = loader
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self.classes, self.class_to_idx = self.load_categories(download)
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self.imgs, self.targets = self.load_file_list(download)
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if download:
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self.download_images()
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def __getitem__(self, index: int) -> Tuple[Any, Any]:
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file, target = self.imgs[index]
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image = self.loader(file)
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if self.transforms is not None:
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image, target = self.transforms(image, target)
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return image, target
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def __len__(self) -> int:
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return len(self.imgs)
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@property
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def variant(self) -> str:
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return "challenge" if "challenge" in self.split else "standard"
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@property
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def images_dir(self) -> str:
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size = "256" if self.small else "large"
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if self.split.startswith("train"):
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dir = f"data_{size}_{self.variant}"
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else:
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dir = f"{self.split}_{size}"
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return path.join(self.root, dir)
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def load_categories(self, download: bool = True) -> Tuple[List[str], Dict[str, int]]:
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def process(line: str) -> Tuple[str, int]:
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cls, idx = line.split()
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return cls, int(idx)
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file, md5 = self._CATEGORIES_META
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file = path.join(self.root, file)
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if not self._check_integrity(file, md5, download):
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self.download_devkit()
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with open(file) as fh:
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class_to_idx = dict(process(line) for line in fh)
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return sorted(class_to_idx.keys()), class_to_idx
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def load_file_list(self, download: bool = True) -> Tuple[List[Tuple[str, int]], List[int]]:
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def process(line: str, sep="/") -> Tuple[str, int]:
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image, idx = line.split()
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return path.join(self.images_dir, image.lstrip(sep).replace(sep, os.sep)), int(idx)
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file, md5 = self._FILE_LIST_META[self.split]
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file = path.join(self.root, file)
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if not self._check_integrity(file, md5, download):
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self.download_devkit()
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with open(file) as fh:
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images = [process(line) for line in fh]
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_, targets = zip(*images)
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return images, list(targets)
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def download_devkit(self) -> None:
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file, md5 = self._DEVKIT_META[self.variant]
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download_and_extract_archive(urljoin(self._BASE_URL, file), self.root, md5=md5)
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def download_images(self) -> None:
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if path.exists(self.images_dir):
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raise RuntimeError(
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f"The directory {self.images_dir} already exists. If you want to re-download or re-extract the images, "
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f"delete the directory."
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)
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file, md5 = self._IMAGES_META[(self.split, self.small)]
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download_and_extract_archive(urljoin(self._BASE_URL, file), self.root, md5=md5)
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if self.split.startswith("train"):
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os.rename(self.images_dir.rsplit("_", 1)[0], self.images_dir)
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def extra_repr(self) -> str:
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return "\n".join(("Split: {split}", "Small: {small}")).format(**self.__dict__)
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def _verify_split(self, split: str) -> str:
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return verify_str_arg(split, "split", self._SPLITS)
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def _check_integrity(self, file: str, md5: str, download: bool) -> bool:
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integrity = check_integrity(file, md5=md5)
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if not integrity and not download:
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raise RuntimeError(
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f"The file {file} does not exist or is corrupted. You can set download=True to download it."
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)
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return integrity
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