a2d2/a2d2_dataset.py [373:391]:
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                          net_outputs,
                          class_names,
                          pklfile_prefix=None,
                          submission_prefix=None):
        """Convert 3D detection results to kitti format for evaluation and test
        submission.

        Args:
            net_outputs (list[np.ndarray]): List of array storing the \
                inferenced bounding boxes and scores.
            class_names (list[String]): A list of class names.
            pklfile_prefix (str | None): The prefix of pkl file.
            submission_prefix (str | None): The prefix of submission file.

        Returns:
            list[dict]: A list of dictionaries with the kitti format.
        """
        assert len(net_outputs) == len(self.data_infos), \
            'invalid list length of network outputs'
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a2d2/a2d2_dataset.py [488:506]:
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                            net_outputs,
                            class_names,
                            pklfile_prefix=None,
                            submission_prefix=None):
        """Convert 2D detection results to kitti format for evaluation and test
        submission.

        Args:
            net_outputs (list[np.ndarray]): List of array storing the \
                inferenced bounding boxes and scores.
            class_names (list[String]): A list of class names.
            pklfile_prefix (str | None): The prefix of pkl file.
            submission_prefix (str | None): The prefix of submission file.

        Returns:
            list[dict]: A list of dictionaries have the kitti format
        """
        assert len(net_outputs) == len(self.data_infos), \
            'invalid list length of network outputs'
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