mmagic.models.editors.edvr.edvr

Module Contents

Classes

EDVR	EDVR model for video super-resolution.

class mmagic.models.editors.edvr.edvr.EDVR(generator, pixel_loss, train_cfg=None, test_cfg=None, init_cfg=None, data_preprocessor=None)

Bases: mmagic.models.BaseEditModel

EDVR model for video super-resolution.

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks.

Parameters

• generator (dict) – Config for the generator structure.

• pixel_loss (dict) – Config for pixel-wise loss.

• train_cfg (dict) – Config for training. Default: None.

• test_cfg (dict) – Config for testing. Default: None.

• init_cfg (dict, optional) – The weight initialized config for BaseModule.

• data_preprocessor (dict, optional) – The pre-process config of BaseDataPreprocessor.

forward_train(inputs, data_samples=None)

Forward training. Returns dict of losses of training.

Parameters

• inputs (torch.Tensor) – batch input tensor collated by data_preprocessor.

• data_samples (List[BaseDataElement], optional) – data samples collated by data_preprocessor.

Returns

Dict of losses.

Return type

dict