LinearRegressionHead

class lightning_pose.models.heads.LinearRegressionHead

Bases: Module

Linear regression head that converts 2D feature maps to a vector of (x, y) coordinates.

Methods Summary

forward(features)

Define the computation performed at every call.

Methods Documentation

forward(features: Tensor, {'__torchtyping__': True, 'details': ('batch', 'features', 'height', 'width'), 'cls_name': 'TensorType'}]) → Tensor, {'__torchtyping__': True, 'details': ('batch', 'coordinates',), 'cls_name': 'TensorType'}]

Define 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.

__init__(in_channels: int, num_targets: int)

Initialize internal Module state, shared by both nn.Module and ScriptModule.

__new__(**kwargs)