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- import os
- import json
- from torch.utils.data import Dataset
- from torchvision.datasets.utils import download_url
- from PIL import Image
- class nocaps_eval(Dataset):
- def __init__(self, transform, image_root, ann_root, split):
- urls = {'val':'https://storage.googleapis.com/sfr-vision-language-research/datasets/nocaps_val.json',
- 'test':'https://storage.googleapis.com/sfr-vision-language-research/datasets/nocaps_test.json'}
- filenames = {'val':'nocaps_val.json','test':'nocaps_test.json'}
-
- download_url(urls[split],ann_root)
-
- self.annotation = json.load(open(os.path.join(ann_root,filenames[split]),'r'))
- self.transform = transform
- self.image_root = image_root
-
- def __len__(self):
- return len(self.annotation)
-
- def __getitem__(self, index):
-
- ann = self.annotation[index]
-
- image_path = os.path.join(self.image_root,ann['image'])
- image = Image.open(image_path).convert('RGB')
- image = self.transform(image)
-
- return image, int(ann['img_id'])
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