Source code for torchvision.datasets.sbu
from PIL import Image
from six.moves import zip
from .utils import download_url, check_integrity
import os
from .vision import VisionDataset
[docs]class SBU(VisionDataset):
"""`SBU Captioned Photo <http://www.cs.virginia.edu/~vicente/sbucaptions/>`_ Dataset.
Args:
root (string): Root directory of dataset where tarball
``SBUCaptionedPhotoDataset.tar.gz`` exists.
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 in root directory. If dataset is already downloaded, it is not
downloaded again.
"""
url = "http://www.cs.virginia.edu/~vicente/sbucaptions/SBUCaptionedPhotoDataset.tar.gz"
filename = "SBUCaptionedPhotoDataset.tar.gz"
md5_checksum = '9aec147b3488753cf758b4d493422285'
def __init__(self, root, transform=None, target_transform=None, download=True):
super(SBU, self).__init__(root, transform=transform,
target_transform=target_transform)
if download:
self.download()
if not self._check_integrity():
raise RuntimeError('Dataset not found or corrupted.' +
' You can use download=True to download it')
# Read the caption for each photo
self.photos = []
self.captions = []
file1 = os.path.join(self.root, 'dataset', 'SBU_captioned_photo_dataset_urls.txt')
file2 = os.path.join(self.root, 'dataset', 'SBU_captioned_photo_dataset_captions.txt')
for line1, line2 in zip(open(file1), open(file2)):
url = line1.rstrip()
photo = os.path.basename(url)
filename = os.path.join(self.root, 'dataset', photo)
if os.path.exists(filename):
caption = line2.rstrip()
self.photos.append(photo)
self.captions.append(caption)
[docs] def __getitem__(self, index):
"""
Args:
index (int): Index
Returns:
tuple: (image, target) where target is a caption for the photo.
"""
filename = os.path.join(self.root, 'dataset', self.photos[index])
img = Image.open(filename).convert('RGB')
if self.transform is not None:
img = self.transform(img)
target = self.captions[index]
if self.target_transform is not None:
target = self.target_transform(target)
return img, target
def __len__(self):
"""The number of photos in the dataset."""
return len(self.photos)
def _check_integrity(self):
"""Check the md5 checksum of the downloaded tarball."""
root = self.root
fpath = os.path.join(root, self.filename)
if not check_integrity(fpath, self.md5_checksum):
return False
return True
def download(self):
"""Download and extract the tarball, and download each individual photo."""
import tarfile
if self._check_integrity():
print('Files already downloaded and verified')
return
download_url(self.url, self.root, self.filename, self.md5_checksum)
# Extract file
with tarfile.open(os.path.join(self.root, self.filename), 'r:gz') as tar:
tar.extractall(path=self.root)
# Download individual photos
with open(os.path.join(self.root, 'dataset', 'SBU_captioned_photo_dataset_urls.txt')) as fh:
for line in fh:
url = line.rstrip()
try:
download_url(url, os.path.join(self.root, 'dataset'))
except OSError:
# The images point to public images on Flickr.
# Note: Images might be removed by users at anytime.
pass