You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
59 lines
2.4 KiB
59 lines
2.4 KiB
5 months ago
|
from pathlib import Path
|
||
|
|
from typing import Callable, Optional, Union
|
||
|
|
|
||
|
|
from .folder import ImageFolder
|
||
|
|
from .utils import download_and_extract_archive, verify_str_arg
|
||
|
|
|
||
|
|
|
||
|
|
class Country211(ImageFolder):
|
||
|
|
"""`The Country211 Data Set <https://github.com/openai/CLIP/blob/main/data/country211.md>`_ from OpenAI.
|
||
|
|
|
||
|
|
This dataset was built by filtering the images from the YFCC100m dataset
|
||
|
|
that have GPS coordinate corresponding to a ISO-3166 country code. The
|
||
|
|
dataset is balanced by sampling 150 train images, 50 validation images, and
|
||
|
|
100 test images for each country.
|
||
|
|
|
||
|
|
Args:
|
||
|
|
root (str or ``pathlib.Path``): Root directory of the dataset.
|
||
|
|
split (string, optional): The dataset split, supports ``"train"`` (default), ``"valid"`` and ``"test"``.
|
||
|
|
transform (callable, optional): A function/transform that takes in a PIL image and returns a transformed
|
||
|
|
version. E.g, ``transforms.RandomCrop``.
|
||
|
|
target_transform (callable, optional): A function/transform that takes in the target and transforms it.
|
||
|
|
download (bool, optional): If True, downloads the dataset from the internet and puts it into
|
||
|
|
``root/country211/``. If dataset is already downloaded, it is not downloaded again.
|
||
|
|
"""
|
||
|
|
|
||
|
|
_URL = "https://openaipublic.azureedge.net/clip/data/country211.tgz"
|
||
|
|
_MD5 = "84988d7644798601126c29e9877aab6a"
|
||
|
|
|
||
|
|
def __init__(
|
||
|
|
self,
|
||
|
|
root: Union[str, Path],
|
||
|
|
split: str = "train",
|
||
|
|
transform: Optional[Callable] = None,
|
||
|
|
target_transform: Optional[Callable] = None,
|
||
|
|
download: bool = False,
|
||
|
|
) -> None:
|
||
|
|
self._split = verify_str_arg(split, "split", ("train", "valid", "test"))
|
||
|
|
|
||
|
|
root = Path(root).expanduser()
|
||
|
|
self.root = str(root)
|
||
|
|
self._base_folder = root / "country211"
|
||
|
|
|
||
|
|
if download:
|
||
|
|
self._download()
|
||
|
|
|
||
|
|
if not self._check_exists():
|
||
|
|
raise RuntimeError("Dataset not found. You can use download=True to download it")
|
||
|
|
|
||
|
|
super().__init__(str(self._base_folder / self._split), transform=transform, target_transform=target_transform)
|
||
|
|
self.root = str(root)
|
||
|
|
|
||
|
|
def _check_exists(self) -> bool:
|
||
|
|
return self._base_folder.exists() and self._base_folder.is_dir()
|
||
|
|
|
||
|
|
def _download(self) -> None:
|
||
|
|
if self._check_exists():
|
||
|
|
return
|
||
|
|
download_and_extract_archive(self._URL, download_root=self.root, md5=self._MD5)
|