:param pcl: n*3 :param center: [x,y,z] :param r: range :return:

Exponential map from Lie algebra so3 to Lie group SO3. Modern Robotics Eqn 3.88. Args: S: (B,N,6) A screw axis of motion. theta: (

Input: xyz: pointcloud data, [N, D] npoint: number of samples Return: centroids: sampled pointcloud index, [npoint, D

:param x: (B,N,3*5) :param code: (B,N) :return: f(x-p)

:param condition: (B,N,3) :param inputs: (B,N,K,O)

:param keypoints: (B,K,3) or (K,3) :param xyz: (B,N,3) or (N,3) :param code: (B,D)

Args: z: Embedding. Input to hypernetwork. Could be output of "Autodecoder" Returns: params: OrderedDict. Can

Generates a flattened grid of (x,y,...) coordinates in a range of -1 to 1.

hessian of y wrt x y: shape (meta_batch_size, num_observations, channels) x: shape (meta_batch_size, num_observations, 2)

Reads vertices and faces from an off file. :param file: path to file to read :type file: str :return: vertices and faces as lists of

r"""Apply positional encoding to the input. Args: tensor (torch.Tensor): Input tensor to be positionally encoded. encoding_size (o

:param ray_origins: torch.Tensor, (n_rays, n_dimensions), (n, 3) :param ray_direction: torch.Tensor, (n_rays, n_dimensions), (n, 3) :pa

Read a tensor, i.e. numpy array, from HDF5. :param file: path to file to read :type file: str :param key: key to read :type key:

:param path: N rows, 3 columns, float txt :return: Nx3 pcl

Use to map files with texture to files without texture mtl_name: files with texture obj_vertices: point cloud

Writes the given vertices and faces to OFF. :param vertices: vertices as tuples of (x, y, z) coordinates :type vertices: [(float)] :