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)[源代码]

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.

参数
  • 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

返回

upsampled feature map

forward(x: torch.Tensor)torch.Tensor[源代码]

Defines the computation performed at every call.

Should be overridden by all subclasses.

注解

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: stable
Versions
latest
stable
2.x
v2.0.1
v2.0.0
1.x
v1.7.1
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
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.