Returns the image size, if provided, expected in the form of (height, width) The image size is used for conversion of projected point

Calculate the perspective projection matrix with a symmetric viewing frustrum. Use column major order. The viewing frustrum w

Crops the white border of the RGB. Args: rgb: RGB image, shape (H, W, 3). Returns: Crop parameters.

Return the world-to-view transform. Args: **kwargs: parameters for the camera extrinsics can be passed in

Specifies whether the camera is defined in NDC space or in screen (image) space

Load state_dict into model, handling DataParallel and DistributedDataParallel. Also checks for "model" key in state_dict. DataParallel prefixes s

Loads weights to the model from a given resource. A resource can be of following types: 1. URL. Prefixed with "url::" e.g. url

In place operation to move class properties which are tensors to a specified device. If self has a property "device", update this as

Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, opt

Compute log binomial distribution for n_classes Args: n_classes (int, optional): number of output classes. Defaults to 256.

Attractor layer for bin centers. Bin centers are bounded on the interval (min_depth, max_depth)

Return the rotation matrices for one of the rotations about an axis of which Euler angles describe, for each value of the angle given. A

Determine if R is a valid rotation matrix by checking it satisfies the following conditions: ``RR^T = I and det(R) = 1`` Args:

Return the inverse of self._matrix.

Helper function for _handle_input. Args: c: Python scalar, torch scalar, or 1D torch tensor Returns: c_vec: 1D torch te

Helper function to handle parsing logic for building transforms. The output is always a tensor of shape (N, 3), but there are several types o

Inference interface for the model Args: x (torch.Tensor): input tensor of shape (b, c, h, w) Returns: