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Merge pull request #159 from Michael-Hsu/patch-1
Let sample.py can generate caption for gray image.
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@ -14,7 +14,7 @@ from PIL import Image
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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def load_image(image_path, transform=None):
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image = Image.open(image_path)
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image = Image.open(image_path).convert('RGB')
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image = image.resize([224, 224], Image.LANCZOS)
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if transform is not None:
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@ -78,4 +78,4 @@ if __name__ == '__main__':
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parser.add_argument('--hidden_size', type=int , default=512, help='dimension of lstm hidden states')
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parser.add_argument('--num_layers', type=int , default=1, help='number of layers in lstm')
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args = parser.parse_args()
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main(args)
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main(args)
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