Method to pack the input data. when the value in this dict is a list, it usually is in Augmentations Testing. Args: results (dict | list[dict]): Result dict from the data pipeline. Returns: dict | List[dict]: - 'inputs' (dict): The forwa
(self, results: Union[dict,
List[dict]])
| 86 | return key |
| 87 | |
| 88 | def transform(self, results: Union[dict, |
| 89 | List[dict]]) -> Union[dict, List[dict]]: |
| 90 | """Method to pack the input data. when the value in this dict is a |
| 91 | list, it usually is in Augmentations Testing. |
| 92 | |
| 93 | Args: |
| 94 | results (dict | list[dict]): Result dict from the data pipeline. |
| 95 | |
| 96 | Returns: |
| 97 | dict | List[dict]: |
| 98 | |
| 99 | - 'inputs' (dict): The forward data of models. It usually contains |
| 100 | following keys: |
| 101 | |
| 102 | - points |
| 103 | - img |
| 104 | |
| 105 | - 'data_samples' (:obj:`Det3DDataSample`): The annotation info of |
| 106 | the sample. |
| 107 | """ |
| 108 | # augtest |
| 109 | if isinstance(results, list): |
| 110 | if len(results) == 1: |
| 111 | # simple test |
| 112 | return self.pack_single_results(results[0]) |
| 113 | pack_results = [] |
| 114 | for single_result in results: |
| 115 | pack_results.append(self.pack_single_results(single_result)) |
| 116 | return pack_results |
| 117 | # norm training and simple testing |
| 118 | elif isinstance(results, dict): |
| 119 | return self.pack_single_results(results) |
| 120 | else: |
| 121 | raise NotImplementedError |
| 122 | |
| 123 | def pack_single_results(self, results: dict) -> dict: |
| 124 | """Method to pack the single input data. when the value in this dict is |
nothing calls this directly
no test coverage detected