Shortcuts

mmedit.models.editors.edvr.edvr

Module Contents

Classes

EDVR

EDVR model for video super-resolution.

class mmedit.models.editors.edvr.edvr.EDVR(generator, pixel_loss, train_cfg=None, test_cfg=None, init_cfg=None, data_preprocessor=None)[source]

Bases: mmedit.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)[source]

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

Read the Docs v: latest
Versions
master
latest
stable
zyh-re-docs
zyh-doc-notfound-extend
zyh-api-rendering
Downloads
pdf
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.