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@@ -34,17 +34,13 @@ class EvalHook(Hook): | |
``top1_acc``, ``top5_acc``, ``mean_class_accuracy``, | ||
``mean_average_precision``, ``mmit_mean_average_precision`` | ||
for action recognition dataset (RawframeDataset and VideoDataset). | ||
<<<<<<< HEAD | ||
``AR@AN``, ``auc`` for action localization dataset. | ||
(ActivityNetDataset). ``[email protected]@100``, ``AR@100``, | ||
``[email protected]`` for spatio-temporal action detection dataset | ||
(AVADataset). Default: `top1_acc`. | ||
======= | ||
``AR@AN``, ``auc`` for action localization dataset | ||
(ActivityNetDataset). If ``save_best`` is ``auto``, the first key | ||
(AVADataset). If ``save_best`` is ``auto``, the first key | ||
of the returned ``OrderedDict`` result will be used. The interval | ||
of ``CheckpointHook`` should device EvalHook. Default: None. | ||
>>>>>>> polish again | ||
of ``CheckpointHook`` should be divisible by that of EvalHook. | ||
Default: 'top1_acc'. | ||
rule (str | None, optional): Comparison rule for best score. If set to | ||
None, it will infer a reasonable rule. Keys such as 'acc', 'top' | ||
.etc will be inferred by 'greater' rule. Keys contain 'loss' will | ||
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