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mmedit.apis.inferencers.video_interpolation_inferencer

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Classes

VideoInterpolationInferencer

inferencer that predicts with video interpolation models.

class mmedit.apis.inferencers.video_interpolation_inferencer.VideoInterpolationInferencer(config: Union[mmedit.utils.ConfigType, str], ckpt: Optional[str], device: Optional[str] = None, extra_parameters: Optional[Dict] = None, seed: int = 2022, **kwargs)[source]

Bases: mmedit.apis.inferencers.base_mmedit_inferencer.BaseMMEditInferencer

inferencer that predicts with video interpolation models.

func_kwargs[source]
extra_parameters[source]
preprocess(video: mmedit.apis.inferencers.base_mmedit_inferencer.InputsType) Dict[source]

Process the inputs into a model-feedable format.

Parameters

video (InputsType) – Video to be interpolated by models.

Returns

Video to be interpolated by models.

Return type

video(InputsType)

forward(inputs: mmedit.apis.inferencers.base_mmedit_inferencer.InputsType, result_out_dir: mmedit.apis.inferencers.base_mmedit_inferencer.InputsType = '') mmedit.apis.inferencers.base_mmedit_inferencer.PredType[source]

Forward the inputs to the model.

Parameters
  • inputs (InputsType) – Input video directory.

  • result_out_dir (str) – Output directory of video. Defaults to ‘’.

Returns

Result of forwarding

Return type

PredType

visualize(preds: mmedit.apis.inferencers.base_mmedit_inferencer.PredType, result_out_dir: str = '') List[numpy.ndarray][source]

Visualize is not needed in this inferencer.

postprocess(preds: mmedit.apis.inferencers.base_mmedit_inferencer.PredType, imgs: Optional[List[numpy.ndarray]] = None) Union[mmedit.apis.inferencers.base_mmedit_inferencer.ResType, Tuple[mmedit.apis.inferencers.base_mmedit_inferencer.ResType, numpy.ndarray]][source]

Postprocess is not needed in this inferencer.

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