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