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35 lines
1.1 KiB
Python
35 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 = {
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"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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}
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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"])
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