Shortcuts

CARAFEPack

class mmcv.ops.CARAFEPack(channels: int, scale_factor: int, up_kernel: int = 5, up_group: int = 1, encoder_kernel: int = 3, encoder_dilation: int = 1, compressed_channels: int = 64)[source]

A unified package of CARAFE upsampler that contains: 1) channel compressor 2) content encoder 3) CARAFE op.

Official implementation of ICCV 2019 paper CARAFE: Content-Aware ReAssembly of FEatures.

Parameters
  • channels (int) – input feature channels

  • scale_factor (int) – upsample ratio

  • up_kernel (int) – kernel size of CARAFE op

  • up_group (int) – group size of CARAFE op

  • encoder_kernel (int) – kernel size of content encoder

  • encoder_dilation (int) – dilation of content encoder

  • compressed_channels (int) – output channels of channels compressor

Returns

upsampled feature map

forward(x: torch.Tensor)torch.Tensor[source]

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

Read the Docs v: 2.x
Versions
master
latest
2.x
1.x
v1.7.0
v1.6.2
v1.6.1
v1.6.0
v1.5.3
v1.5.2_a
v1.5.1
v1.5.0
v1.4.8
v1.4.7
v1.4.6
v1.4.5
v1.4.4
v1.4.3
v1.4.2
v1.4.1
v1.4.0
v1.3.18
v1.3.17
v1.3.16
v1.3.15
v1.3.14
v1.3.13
v1.3.12
v1.3.11
v1.3.10
v1.3.9
v1.3.8
v1.3.7
v1.3.6
v1.3.5
v1.3.4
v1.3.3
v1.3.2
v1.3.1
v1.3.0
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.