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target_sizes = torch.tensor([image.size[::-1]]) results = feature_extractor.post_process(outputs, target_sizes=target_sizes)[0] for score, label, box in zip(results["scores"], results["labels"], results["boxes"]): box = [round(i, 2) for i in box.tolist()] print(f"Detected