SYMBOL INDEX (139 symbols across 13 files)

FILE: Spline.py
  function skew_symmetric (line 7) | def skew_symmetric(w):
  function taylor_A (line 21) | def taylor_A(x, nth=10):
  function taylor_B (line 32) | def taylor_B(x, nth=10):
  function taylor_C (line 42) | def taylor_C(x, nth=10):
  function exp_r2q_parallel (line 52) | def exp_r2q_parallel(r, eps=1e-9):
  function exp_r2q (line 61) | def exp_r2q(x, y, z, theta):
  function exp_r2q_taylor (line 70) | def exp_r2q_taylor(x, y, z, theta):
  function q_to_R_parallel (line 78) | def q_to_R_parallel(q):
  function q_to_Q_parallel (line 112) | def q_to_Q_parallel(q):
  function q_to_q_conj_parallel (line 122) | def q_to_q_conj_parallel(q):
  function log_q2r_parallel (line 128) | def log_q2r_parallel(q, eps_theta=1e-20, eps_w=1e-10):
  function log_q2r (line 156) | def log_q2r(w, theta):
  function log_q2r_taylor_theta_0 (line 160) | def log_q2r_taylor_theta_0(w, theta):
  function log_q2r_lim_w_0_left (line 164) | def log_q2r_lim_w_0_left(theta):
  function log_q2r_lim_w_0_right (line 168) | def log_q2r_lim_w_0_right(theta):
  function SE3_to_se3 (line 172) | def SE3_to_se3(Rt, eps=1e-8):  # [...,3,4]
  function SO3_to_so3 (line 186) | def SO3_to_so3(R, eps=1e-7):  # [...,3,3]
  function se3_to_SE3 (line 199) | def se3_to_SE3(wu):  # [...,3]
  function SE3_to_se3_N (line 213) | def SE3_to_se3_N(poses_rt):
  function se3_to_SE3_N (line 222) | def se3_to_SE3_N(poses_wu):
  function se3_2_qt_parallel (line 231) | def se3_2_qt_parallel(wu):
  function SplineN_linear (line 246) | def SplineN_linear(start_pose, end_pose, poses_number, NUM, device=None):
  function SplineN_cubic (line 276) | def SplineN_cubic(pose0, pose1, pose2, pose3, poses_number, NUM):

FILE: load_llff.py
  function _minify (line 10) | def _minify(basedir, factors=[], resolutions=[]):  # basedir: ./data/ner...
  function _load_data (line 62) | def _load_data(basedir, pose_state, factor=None, width=None, height=None...
  function normalize (line 125) | def normalize(x):
  function viewmatrix (line 129) | def viewmatrix(z, up, pos):
  function ptstocam (line 138) | def ptstocam(pts, c2w):
  function poses_avg (line 143) | def poses_avg(poses):
  function render_path_spiral (line 154) | 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 183) | def spherify_poses(poses, bds):
  function load_llff_data (line 241) | def load_llff_data(basedir, pose_state=None, factor=1, recenter=True, bd...

FILE: lpips/lpips.py
  function normalize_tensor (line 12) | def normalize_tensor(in_feat, eps=1e-10):
  function l2 (line 17) | def l2(p0, p1, range=255.):
  function psnr (line 21) | def psnr(p0, p1, peak=255.):
  function dssim (line 25) | def dssim(p0, p1, range=255.):
  function rgb2lab (line 30) | def rgb2lab(in_img, mean_cent=False):
  function tensor2np (line 38) | def tensor2np(tensor_obj):
  function np2tensor (line 43) | def np2tensor(np_obj):
  function tensor2tensorlab (line 48) | def tensor2tensorlab(image_tensor, to_norm=True, mc_only=False):
  function tensorlab2tensor (line 63) | def tensorlab2tensor(lab_tensor, return_inbnd=False):
  function tensor2im (line 82) | def tensor2im(image_tensor, imtype=np.uint8, cent=1., factor=255. / 2.):
  function im2tensor (line 88) | def im2tensor(image, imtype=np.uint8, cent=1., factor=255. / 2.):
  function tensor2vec (line 93) | def tensor2vec(vector_tensor):
  function voc_ap (line 97) | def voc_ap(rec, prec, use_07_metric=False):
  function spatial_average (line 130) | def spatial_average(in_tens, keepdim=True):
  function upsample (line 134) | def upsample(in_tens, out_HW=(64, 64)):  # assumes scale factor is same ...
  class LPIPS (line 140) | class LPIPS(nn.Module):
    method __init__ (line 141) | def __init__(self, pretrained=True, net='alex', version='0.1', lpips=T...
    method forward (line 199) | def forward(self, in0, in1, retPerLayer=False, normalize=False):
  class ScalingLayer (line 245) | class ScalingLayer(nn.Module):
    method __init__ (line 246) | def __init__(self):
    method forward (line 251) | def forward(self, inp):
  class NetLinLayer (line 255) | class NetLinLayer(nn.Module):
    method __init__ (line 258) | def __init__(self, chn_in, chn_out=1, use_dropout=False):
    method forward (line 265) | def forward(self, x):
  class Dist2LogitLayer (line 269) | class Dist2LogitLayer(nn.Module):
    method __init__ (line 272) | def __init__(self, chn_mid=32, use_sigmoid=True):
    method forward (line 284) | def forward(self, d0, d1, eps=0.1):
  class BCERankingLoss (line 288) | class BCERankingLoss(nn.Module):
    method __init__ (line 289) | def __init__(self, chn_mid=32):
    method forward (line 295) | def forward(self, d0, d1, judge):
  class FakeNet (line 302) | class FakeNet(nn.Module):
    method __init__ (line 303) | def __init__(self, use_gpu=True, colorspace='Lab'):
  class L2 (line 309) | class L2(FakeNet):
    method forward (line 310) | def forward(self, in0, in1, retPerLayer=None):
  class DSSIM (line 328) | class DSSIM(FakeNet):
    method forward (line 330) | def forward(self, in0, in1, retPerLayer=None):
  function print_network (line 346) | def print_network(net):

FILE: lpips/pretrained_networks.py
  class squeezenet (line 6) | class squeezenet(torch.nn.Module):
    method __init__ (line 7) | def __init__(self, requires_grad=False, pretrained=True):
    method forward (line 36) | def forward(self, X):
  class alexnet (line 57) | class alexnet(torch.nn.Module):
    method __init__ (line 58) | def __init__(self, requires_grad=False, pretrained=True):
    method forward (line 81) | def forward(self, X):
  class vgg16 (line 98) | class vgg16(torch.nn.Module):
    method __init__ (line 99) | def __init__(self, requires_grad=False, pretrained=True):
    method forward (line 122) | def forward(self, X):
  class resnet (line 139) | class resnet(torch.nn.Module):
    method __init__ (line 140) | def __init__(self, requires_grad=False, pretrained=True, num=18):
    method forward (line 163) | def forward(self, X):

FILE: metrics.py
  function compute_img_metric (line 16) | def compute_img_metric(im1t: torch.Tensor, im2t: torch.Tensor,

FILE: nerf.py
  class Embedder (line 15) | class Embedder:
    method __init__ (line 16) | def __init__(self, **kwargs):
    method create_embedding_fn (line 20) | def create_embedding_fn(self):
    method embed (line 44) | def embed(self, inputs):
  function get_embedder (line 48) | def get_embedder(args, multires, i=0):
  class Model (line 66) | class Model():
    method __init__ (line 67) | def __init__(self):
    method build_network (line 70) | def build_network(self, args):
    method setup_optimizer (line 75) | def setup_optimizer(self, args):
  class NeRF (line 84) | class NeRF(nn.Module):
    method __init__ (line 85) | def __init__(self, D=8, W=256, input_ch=63, input_ch_views=27, output_...
    method forward (line 108) | def forward(self, barf_i, pts, viewdirs, args):
    method raw2output (line 148) | def raw2output(self, raw, z_vals, rays_d, raw_noise_std=0.0):
  class Graph (line 176) | class Graph(nn.Module):
    method __init__ (line 178) | def __init__(self, args, D=8, W=256, input_ch=63, input_ch_views=27, o...
    method forward (line 184) | def forward(self, i, img_idx, poses_num, H, W, K, args, novel_view=Fal...
    method get_pose (line 217) | def get_pose(self, i, img_idx, args):
    method get_gt_pose (line 221) | def get_gt_pose(self, poses, args):
    method render (line 225) | def render(self, barf_i, poses, ray_idx, H, W, K, args, near=0., far=1...
    method render_video (line 318) | def render_video(self, barf_i, poses, H, W, K, args):

FILE: novel_view_test.py
  class Model (line 5) | class Model(nerf.Model):
    method __init__ (line 6) | def __init__(self, se3_start, graph):
    method build_network (line 11) | def build_network(self, args):
    method setup_optimizer (line 17) | def setup_optimizer(self, args):

FILE: optimize_pose_cubic.py
  class Model (line 7) | class Model(nerf.Model):
    method __init__ (line 8) | def __init__(self, se3_0, se3_1, se3_2, se3_3):
    method build_network (line 15) | def build_network(self, args):
    method setup_optimizer (line 24) | def setup_optimizer(self, args):
  class Graph (line 36) | class Graph(nerf.Graph):
    method __init__ (line 37) | def __init__(self, args, D=8, W=256, input_ch=63, input_ch_views=27, o...
    method get_pose (line 43) | def get_pose(self, i, img_idx, args):
    method get_pose_even (line 60) | def get_pose_even(self, i, img_idx, num):
    method get_gt_pose (line 78) | def get_gt_pose(self, poses, args):

FILE: optimize_pose_linear.py
  class Model (line 7) | class Model(nerf.Model):
    method __init__ (line 8) | def __init__(self, se3_start, se3_end):
    method build_network (line 13) | def build_network(self, args):
    method setup_optimizer (line 22) | def setup_optimizer(self, args):
  class Graph (line 34) | class Graph(nerf.Graph):
    method __init__ (line 35) | def __init__(self, args, D=8, W=256, input_ch=63, input_ch_views=27, o...
    method get_pose (line 41) | def get_pose(self, i, img_idx, args):
    method get_pose_even (line 53) | def get_pose_even(self, i, img_idx, num):
    method get_gt_pose (line 66) | def get_gt_pose(self, poses, args):

FILE: run_nerf.py
  function config_parser (line 24) | def config_parser():

FILE: run_nerf_helpers.py
  function imread (line 19) | def imread(f):
  function load_imgs (line 25) | def load_imgs(path):
  function get_rays (line 38) | def get_rays(H, W, K, c2w):
  function ndc_rays (line 50) | def ndc_rays(H, W, focal, near, rays_o, rays_d):
  function sample_pdf (line 71) | def sample_pdf(bins, weights, N_samples, det=False, pytest=False):
  function render_video_test (line 117) | def render_video_test(i_, graph, render_poses, H, W, K, args):
  function render_image_test (line 139) | def render_image_test(i, graph, render_poses, H, W, K, args, novel_view=...
  function init_weights (line 165) | def init_weights(linear):
  function init_nerf (line 171) | def init_nerf(nerf):
  function get_specific_rays (line 185) | def get_specific_rays(i, j, K, c2w):
  function save_render_pose (line 199) | def save_render_pose(poses, path):

FILE: test.py
  function test (line 13) | def test():

FILE: train.py
  function train (line 13) | def train():