Fix FastSAM text prompt results (#6510)
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@ -342,7 +342,7 @@ class FastSAMPrompt:
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max_idx = scores.argsort()
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max_idx = max_idx[-1]
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max_idx += sum(np.array(filter_id) <= int(max_idx))
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self.results[0].masks.data = torch.tensor(np.array([ann['segmentation'] for ann in annotations]))
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self.results[0].masks.data = torch.tensor(np.array([annotations[max_idx]['segmentation']]))
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return self.results
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def everything_prompt(self):
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