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predictions_dict = model.predict(tf.expand_dims(resized_image_tensor, 0)) recognitions = model.postprocess(predictions_dict)
代码中可以找到predict()和postprocess()函数的具体实现吗?我不太理解 @abstractmethod def predict(self, preprocessed_inputs, scope=None): pass
@abstractmethod def loss(self, predictions_dict, scope=None): pass
@abstractmethod def postprocess(self, predictions_dict, scope=None): pass 这几个函数这么定义了之后要怎么用?
我在这里遇到了error,请问你解决了这个问题吗