David Slater

Currently, `on_exception` takes an argument `exception: _MaybeSequence[Type[Exception]]`. However, this cannot handle any `Sequence` of `Type[Exception]`. For instance, if a `list[Type[Exception]]` is given, as in the following code: ```python import backoff...

This is branched off of #1796, and just fully removes deepspeech. Added @christopherwoodall as a reviewer as well to see if this works with his previous style of updates.

TFDS object detection to coco format

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The object detection datasets are not in standard COCO format. We should move them to output in standard COCO format. This file is a good model: https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/object_detection/coco.py See here for...

In moving to a CARLA MOT dataset in v4, we would like to have a standard format for the labels. In particular, we are looking at an extended COCO format...

Currently, this information is needed in the following scenarios: ``` audio_asr.py: self.test_dataset.context.sample_rate, audio_classification.py: self.test_dataset.context.sample_rate, carla_video_tracking.py: frame_rate=self.test_dataset.context.frame_rate, carla_video_tracking.py: frame_rate=self.test_dataset.context.frame_rate, video_ucf101_scenario.py: frame_rate=self.test_dataset.context.frame_rate, ``` This needs to be captured somewhere in the data...