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| self._log_list: Optional[List[str]] = None | ||
| self._image_list: Optional[Dict[str, Dict[str, List[str]]]] = None | ||
| self._image_list_sync: Optional[Dict[str, Dict[str, List[np.ndarray]]]] = None | ||
| self._image_list_sync: Optional[Dict[str, Dict[str, List[NDArray[np.float64]]]]] = None |
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Hi Anna, the image timestamps should be in nanoseconds (integers), so likely we need to cast to np.int32 or np.int64 somewhere beforehand
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| @property | ||
| def agent_traj(self) -> np.ndarray: | ||
| def agent_traj(self) -> Any: |
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maybe we can cast the return arg to np.array() since, np.column_stack() should hopefully only return an array
johnwlambert
reviewed
Oct 5, 2021
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| assert len(dt_fpaths) == len(gt_fpaths) | ||
| data: DefaultDict[str, List[np.ndarray]] = defaultdict(list) | ||
| data: DefaultDict[str, List[NDArray[np.float64]]] = defaultdict(list) |
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Hi @ahuller3, thanks for your work on this.
@benjaminrwilson and I were reviewing this today, and we were thinking it might be easier for readability to do something like
if we create something like argoverse/typing/numpy.py
NDArrayFloat = Union[NDArray[np.float32], NDArray[np.float64]]What are your thoughts?
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Draft. Does not need review currently. Will be resolved after
disparity_interpolationrefactor.