- class mmcv.ops.CornerPool(mode: str)¶
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.
mode (str) –
Pooling orientation for the pooling layer
’bottom’: Bottom Pooling
’left’: Left Pooling
’right’: Right Pooling
’top’: Top Pooling
Feature map after pooling.
- forward(x: torch.Tensor) → torch.Tensor¶
Defines the computation performed at every call.
Should be overridden by all subclasses.
Although the recipe for forward pass needs to be defined within this function, one should call the
Moduleinstance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.