| 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']) |