CARAFE

class mmcv.ops.CARAFE(kernel_size: int, group_size: int, scale_factor: int)

CARAFE: Content-Aware ReAssembly of FEatures

Please refer to CARAFE: Content-Aware ReAssembly of FEatures for more details.

Parameters

• kernel_size (int) – reassemble kernel size

• group_size (int) – reassemble group size

• scale_factor (int) – upsample ratio

Returns

upsampled feature map

forward(features: torch.Tensor, masks: torch.Tensor) → torch.Tensor

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.