Load model from file. Args: path (str): file path

Return a new batched Transform3d representing the batch elements from self and all the given other transforms all batched together.

Deep copy of Transforms object. All internal tensors are cloned individually. Returns: new Transforms object.

Return a matrix which is the result of composing this transform with others stored in self.transforms. Where necessary transforms

Use this transform to transform a set of 3D points. Assumes row major ordering of the input points. Args: points

Return a new Transform3d representing the composition of self with the given other transforms, which will be stored as an internal li

Return the full world-to-camera transform composing the world-to-view and view-to-camera transforms. If camera is defined in

Match functionality of torch.Tensor.to() If copy = True or the self Tensor is on a different device, the returned tensor is a

Makes an actual torch.device object from the device specified as either a string or torch.device object. If the device is `cuda` without

Init. Args: scale_factor (float): scaling mode (str): interpolation mode

Returns a new Transform3d object that represents an inverse of the current transformation. Args: invert_composed