111 lines
4.0 KiB
Python
111 lines
4.0 KiB
Python
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import os
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from pathlib import Path
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from typing import Any, Callable, Optional, Tuple, Union
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from PIL import Image
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from .utils import check_integrity, download_and_extract_archive, download_url
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from .vision import VisionDataset
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class SBU(VisionDataset):
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"""`SBU Captioned Photo <http://www.cs.virginia.edu/~vicente/sbucaptions/>`_ Dataset.
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Args:
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root (str or ``pathlib.Path``): Root directory of dataset where tarball
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``SBUCaptionedPhotoDataset.tar.gz`` 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 = "https://www.cs.rice.edu/~vo9/sbucaptions/SBUCaptionedPhotoDataset.tar.gz"
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filename = "SBUCaptionedPhotoDataset.tar.gz"
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md5_checksum = "9aec147b3488753cf758b4d493422285"
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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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# Read the caption for each photo
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self.photos = []
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self.captions = []
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file1 = os.path.join(self.root, "dataset", "SBU_captioned_photo_dataset_urls.txt")
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file2 = os.path.join(self.root, "dataset", "SBU_captioned_photo_dataset_captions.txt")
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for line1, line2 in zip(open(file1), open(file2)):
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url = line1.rstrip()
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photo = os.path.basename(url)
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filename = os.path.join(self.root, "dataset", photo)
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if os.path.exists(filename):
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caption = line2.rstrip()
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self.photos.append(photo)
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self.captions.append(caption)
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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 a caption for the photo.
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"""
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filename = os.path.join(self.root, "dataset", self.photos[index])
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img = Image.open(filename).convert("RGB")
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if self.transform is not None:
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img = self.transform(img)
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target = self.captions[index]
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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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"""The number of photos in the dataset."""
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return len(self.photos)
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def _check_integrity(self) -> bool:
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"""Check the md5 checksum of the downloaded tarball."""
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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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"""Download and extract the tarball, and download each individual photo."""
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if self._check_integrity():
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print("Files already downloaded and verified")
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return
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download_and_extract_archive(self.url, self.root, self.root, self.filename, self.md5_checksum)
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# Download individual photos
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with open(os.path.join(self.root, "dataset", "SBU_captioned_photo_dataset_urls.txt")) as fh:
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for line in fh:
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url = line.rstrip()
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try:
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download_url(url, os.path.join(self.root, "dataset"))
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except OSError:
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# The images point to public images on Flickr.
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# Note: Images might be removed by users at anytime.
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pass
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