SYMBOL INDEX (35 symbols across 5 files)

FILE: load_blender.py
  function pose_spherical (line 32) | def pose_spherical(theta, phi, radius):
  function load_blender_data (line 41) | def load_blender_data(basedir, half_res=False, testskip=1):

FILE: load_deepvoxels.py
  function load_dv_data (line 6) | def load_dv_data(scene='cube', basedir='/data/deepvoxels', testskip=8):

FILE: load_llff.py
  function _minify (line 8) | def _minify(basedir, factors=[], resolutions=[]):
  function _load_data (line 62) | def _load_data(basedir, factor=None, width=None, height=None, load_imgs=...
  function normalize (line 125) | def normalize(x):
  function viewmatrix (line 128) | def viewmatrix(z, up, pos):
  function ptstocam (line 136) | def ptstocam(pts, c2w):
  function poses_avg (line 140) | def poses_avg(poses):
  function render_path_spiral (line 153) | def render_path_spiral(c2w, up, rads, focal, zdelta, zrate, rots, N):
  function recenter_poses (line 166) | def recenter_poses(poses):
  function spherify_poses (line 184) | def spherify_poses(poses, bds):
  function load_llff_data (line 243) | def load_llff_data(basedir, factor=8, recenter=True, bd_factor=.75, sphe...

FILE: run_nerf.py
  function batchify (line 20) | def batchify(fn, chunk):
  function run_network (line 30) | def run_network(inputs, viewdirs, fn, embed_fn, embeddirs_fn, netchunk=1...
  function render_rays (line 48) | def render_rays(ray_batch,
  function batchify_rays (line 246) | def batchify_rays(rays_flat, chunk=1024*32, **kwargs):
  function render (line 260) | def render(H, W, focal,
  function render_path (line 339) | def render_path(render_poses, hwf, chunk, render_kwargs, gt_imgs=None, s...
  function create_nerf (line 378) | def create_nerf(args):
  function config_parser (line 461) | def config_parser():
  function train (line 575) | def train():

FILE: run_nerf_helpers.py
  function img2mse (line 11) | def img2mse(x, y): return tf.reduce_mean(tf.square(x - y))
  function mse2psnr (line 14) | def mse2psnr(x): return -10.*tf.log(x)/tf.log(10.)
  function to8b (line 17) | def to8b(x): return (255*np.clip(x, 0, 1)).astype(np.uint8)
  class Embedder (line 22) | class Embedder:
    method __init__ (line 24) | def __init__(self, **kwargs):
    method create_embedding_fn (line 29) | def create_embedding_fn(self):
    method embed (line 55) | def embed(self, inputs):
  function get_embedder (line 59) | def get_embedder(multires, i=0):
  function init_nerf_model (line 80) | def init_nerf_model(D=8, W=256, input_ch=3, input_ch_views=3, output_ch=...
  function get_rays (line 123) | def get_rays(H, W, focal, c2w):
  function get_rays_np (line 133) | def get_rays_np(H, W, focal, c2w):
  function ndc_rays (line 143) | def ndc_rays(H, W, focal, near, rays_o, rays_d):
  function sample_pdf (line 183) | def sample_pdf(bins, weights, N_samples, det=False):