整理数据包识别了一个未知对象。

The marshaling packet identifies an unknown object.

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只要使用的模型具备位置对象的主要特性，这种测量方法技能提供未知对象的信息。

Measurements made on the model then provide information about the unknown object, as long as the model corresponds with the object in certain essential points.

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另外，要注意的是未知对象遵从同样的假设，即原来的对象被用在了训练中，如果不是这样，那么这样得到经验上的推广就变得无效。

Additionally, care has to be taken that the unseen objects obey the same assumptions as the original objects used in training. If this does not hold, such an empirical generalization becomes invalid.

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