mmagic.apis.inferencers.video_restoration_inferencer

Module Contents

Classes

VideoRestorationInferencer

inferencer that predicts with video restoration models.

class mmagic.apis.inferencers.video_restoration_inferencer.VideoRestorationInferencer(config: Union[mmagic.utils.ConfigType, str], ckpt: Optional[str], device: Optional[str] = None, extra_parameters: Optional[Dict] = None, seed: int = 2022, **kwargs)

Bases: mmagic.apis.inferencers.base_mmagic_inferencer.BaseMMagicInferencer

inferencer that predicts with video restoration models.

func_kwargs

extra_parameters

preprocess(video: mmagic.apis.inferencers.base_mmagic_inferencer.InputsType) → Dict

Process the inputs into a model-feedable format.

Parameters

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

Returns

Results of preprocess.

Return type

results(InputsType)

forward(inputs: mmagic.apis.inferencers.base_mmagic_inferencer.InputsType) → mmagic.apis.inferencers.base_mmagic_inferencer.PredType

Forward the inputs to the model.

Parameters

inputs (InputsType) – Images array of input video.

Returns

Results of forwarding

Return type

PredType

visualize(preds: mmagic.apis.inferencers.base_mmagic_inferencer.PredType, result_out_dir: str = '') → List[numpy.ndarray]

Visualize predictions.

Parameters

• preds (List[Union[str, np.ndarray]]) – Forward results by the inferencer.

• data (List[Dict]) – Not needed by this kind of inferencer.

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

Returns

Result of visualize

Return type

List[np.ndarray]

postprocess(preds: mmagic.apis.inferencers.base_mmagic_inferencer.PredType, imgs: Optional[List[numpy.ndarray]] = None) → Union[mmagic.apis.inferencers.base_mmagic_inferencer.ResType, Tuple[mmagic.apis.inferencers.base_mmagic_inferencer.ResType, numpy.ndarray]]

Postprocess is not needed in this inferencer.