Read and unpack the next bytes from a binary file. :param fid: :param num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16, 30, etc.

Get ray origin and directions in world coordinate for all pixels in one image. Reference: https://www.scratchapixel.com/lessons/3d-basic-rend

Input image: (h, w) r: constant Return image: (h, w)

Inputs: x: (N, 3) xyz in [-scale, scale] return_feat: whether to return intermediate feature Outputs:

Normalize a vector.

Render rays by 1. Compute the intersection of the rays with the scene bounding box 2. Follow the process in @render_func (different for t

Get ray directions for all pixels in camera coordinate [right down front]. Reference: https://www.scratchapixel.com/lessons/3d-basic-renderin

Creates a smooth spline path between input keyframe camera poses. Adapted from https://github.com/google-research/multinerf/blob/main/internal/cam

Calculate the average pose, which is then used to center all poses using @center_poses. Its computation is as follows: 1. Compute the cen

Inputs: x: (N, 3) xyz in [-scale, scale] d: (N, 3) directions Outputs: sigmas: (N) r

Get all cells from the density grid. Outputs: cells: list (of length self.cascades) of indices and coords

see: src/base/reconstruction.cc void Reconstruction::WriteCamerasBinary(const std::string& path) void Reconstruction::ReadCameras

see: src/base/reconstruction.cc void Reconstruction::ReadImagesBinary(const std::string& path) void Reconstruction::WriteImagesBi

see: src/base/reconstruction.cc void Reconstruction::ReadPoints3DBinary(const std::string& path) void Reconstruction::WritePoints

Compute associated Legendre polynomial coefficients. Returns the coefficient of the cos^k(theta)*sin^m(theta) term in the (l, m)th associated Leg

Convert an axis-angle vector to rotation matrix from https://github.com/ActiveVisionLab/nerfmm/blob/main/utils/lie_group_helper.py#L47 I

Convert sdf samples to .ply :param pytorch_3d_tensor: a torch.FloatTensor of shape (n,n,n) :voxel_grid_origin: a list of three floats: th

Create circular poses around z axis. Inputs: radius: the (negative) height and the radius of the circle. mean_h: mean camera

Compute generalized binomial coefficients.

Create a list with all pairs of (l, m) values to use in the encoding.

Runs multidimensional B-spline interpolation on the input points.

Normalize a vector.

Normalize a vector.

Converts from (position, lookat, up) format to pose matrices.

Converts from pose matrices to (position, lookat, up) format.

see: src/base/reconstruction.cc void Reconstruction::WriteCamerasText(const std::string& path) void Reconstruction::ReadCamerasTe

see: src/base/reconstruction.cc void Reconstruction::ReadImagesText(const std::string& path) void Reconstruction::WriteImagesText

see: src/base/reconstruction.cc void Reconstruction::ReadPoints3DText(const std::string& path) void Reconstruction::WritePoints3D