CornerPool

class mmcv.ops.CornerPool(mode: str)

Corner Pooling.

Corner Pooling is a new type of pooling layer that helps a convolutional network better localize corners of bounding boxes.

Please refer to CornerNet: Detecting Objects as Paired Keypoints for more details.

Code is modified from https://github.com/princeton-vl/CornerNet-Lite.

Parameters

mode (str) –

Pooling orientation for the pooling layer

• ’bottom’: Bottom Pooling

• ’left’: Left Pooling

• ’right’: Right Pooling

• ’top’: Top Pooling

Returns

Feature map after pooling.

forward(x: 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.