mmagic.models.editors.srgan.sr_resnet

Module Contents

Classes

MSRResNet

Modified SRResNet.

class mmagic.models.editors.srgan.sr_resnet.MSRResNet(in_channels, out_channels, mid_channels=64, num_blocks=16, upscale_factor=4)

Bases: mmengine.model.BaseModule

Modified SRResNet.

A compacted version modified from SRResNet in “Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network”.

It uses residual blocks without BN, similar to EDSR. Currently, it supports x2, x3 and x4 upsampling scale factor.

Parameters

• in_channels (int) – Channel number of inputs.

• out_channels (int) – Channel number of outputs.

• mid_channels (int) – Channel number of intermediate features. Default: 64.

• num_blocks (int) – Block number in the trunk network. Default: 16.

• upscale_factor (int) – Upsampling factor. Support x2, x3 and x4. Default: 4.

_supported_upscale_factors = [2, 3, 4]

forward(x)

Forward function.

Parameters

x (Tensor) – Input tensor with shape (n, c, h, w).

Returns

Forward results.

Return type

Tensor

init_weights()

Init weights for models.