Update README.md
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README.md
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@@ -45,7 +45,9 @@ url = "http://images.cocodataset.org/val2017/000000039769.jpg"
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image = Image.open(requests.get(url, stream=True).raw)
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texts = [["a photo of a cat", "a photo of a dog"]]
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inputs = processor(text=texts, images=image, return_tensors="pt")
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# Target image sizes (height, width) to rescale box predictions [batch_size, 2]
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target_sizes = torch.Tensor([image.size[::-1]])
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image = Image.open(requests.get(url, stream=True).raw)
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texts = [["a photo of a cat", "a photo of a dog"]]
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inputs = processor(text=texts, images=image, return_tensors="pt")
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with torch.no_grad():
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outputs = model(**inputs)
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# Target image sizes (height, width) to rescale box predictions [batch_size, 2]
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target_sizes = torch.Tensor([image.size[::-1]])
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