SYMBOL INDEX (187 symbols across 27 files)

FILE: arguments/__init__.py
  class GroupParams (line 16) | class GroupParams:
  class ParamGroup (line 19) | class ParamGroup:
    method __init__ (line 20) | def __init__(self, parser: ArgumentParser, name : str, fill_none = Fal...
    method extract (line 40) | def extract(self, args):
  class ModelParams (line 47) | class ModelParams(ParamGroup):
    method __init__ (line 48) | def __init__(self, parser, sentinel=False):
    method extract (line 60) | def extract(self, args):
  class PipelineParams (line 65) | class PipelineParams(ParamGroup):
    method __init__ (line 66) | def __init__(self, parser):
  class OptimizationParams (line 72) | class OptimizationParams(ParamGroup):
    method __init__ (line 73) | def __init__(self, parser):
  function get_combined_args (line 93) | def get_combined_args(parser : ArgumentParser):

FILE: colormask.py
  function mean_neighborhood (line 37) | def mean_neighborhood(input_img, N):
  function save_mp4 (line 48) | def save_mp4(dir, fps):
  function multi_instance_opt (line 89) | def multi_instance_opt(all_contrib, gamma=0.):
  function id2rgb (line 109) | def id2rgb(id, max_num_obj=256):
  function visualize_obj (line 130) | def visualize_obj(objects):
  function render_set (line 138) | def render_set(model_path, name, iteration, views, gaussians, pipeline, ...
  function render_sets (line 253) | def render_sets(dataset : ModelParams, iteration : int, pipeline : Pipel...

FILE: edit_object_inpaint.py
  function mask_to_bbox (line 31) | def mask_to_bbox(mask):
  function crop_using_bbox (line 40) | def crop_using_bbox(image, bbox):
  function divide_into_patches (line 45) | def divide_into_patches(image, K):
  function finetune_inpaint (line 52) | def finetune_inpaint(opt, model_path, iteration, views, gaussians, pipel...
  function render_set (line 125) | def render_set(model_path, name, iteration, views, gaussians, pipeline, ...
  function inpaint (line 149) | def inpaint(dataset : ModelParams, iteration : int, pipeline : PipelineP...

FILE: full360_render.py
  function dot (line 32) | def dot(x, y):
  function length (line 38) | def length(x, eps=1e-20):
  function safe_normalize (line 44) | def safe_normalize(x, eps=1e-20):
  function look_at (line 47) | def look_at(campos, target):
  function pose_spherical (line 56) | def pose_spherical(elevation, azimuth, radius=4.031, opengl=False):
  function save_mp4 (line 77) | def save_mp4(dir, fps):
  function adjust_pose (line 94) | def adjust_pose(view):
  function render_set (line 119) | def render_set(model_path, name, iteration, views, gaussians, pipeline, ...
  function render_sets (line 155) | def render_sets(dataset : ModelParams, iteration : int, pipeline : Pipel...

FILE: gaussian_renderer/__init__.py
  function render (line 24) | def render(viewpoint_camera, pc : GaussianModel, pipe, bg_color : torch....
  function flashsplat_render (line 112) | def flashsplat_render(viewpoint_camera, pc : GaussianModel, pipe, bg_col...

FILE: gaussian_renderer/network_gui.py
  function init (line 26) | def init(wish_host, wish_port):
  function try_connect (line 34) | def try_connect():
  function read (line 43) | def read():
  function send (line 50) | def send(message_bytes, verify):
  function receive (line 57) | def receive():

FILE: generate_mask.py
  function save_mp4 (line 41) | def save_mp4(dir, fps):
  function render_set (line 58) | def render_set(model_path, name, iteration, views, gaussians, pipeline, ...
  function render_sets (line 168) | def render_sets(dataset : ModelParams, iteration : int, pipeline : Pipel...

FILE: lpipsPyTorch/__init__.py
  function lpips (line 6) | def lpips(x: torch.Tensor,

FILE: lpipsPyTorch/modules/lpips.py
  class LPIPS (line 8) | class LPIPS(nn.Module):
    method __init__ (line 17) | def __init__(self, net_type: str = 'alex', version: str = '0.1'):
    method forward (line 30) | def forward(self, x: torch.Tensor, y: torch.Tensor):

FILE: lpipsPyTorch/modules/networks.py
  function get_network (line 12) | def get_network(net_type: str):
  class LinLayers (line 23) | class LinLayers(nn.ModuleList):
    method __init__ (line 24) | def __init__(self, n_channels_list: Sequence[int]):
  class BaseNet (line 36) | class BaseNet(nn.Module):
    method __init__ (line 37) | def __init__(self):
    method set_requires_grad (line 46) | def set_requires_grad(self, state: bool):
    method z_score (line 50) | def z_score(self, x: torch.Tensor):
    method forward (line 53) | def forward(self, x: torch.Tensor):
  class SqueezeNet (line 66) | class SqueezeNet(BaseNet):
    method __init__ (line 67) | def __init__(self):
  class AlexNet (line 77) | class AlexNet(BaseNet):
    method __init__ (line 78) | def __init__(self):
  class VGG16 (line 88) | class VGG16(BaseNet):
    method __init__ (line 89) | def __init__(self):

FILE: lpipsPyTorch/modules/utils.py
  function normalize_activation (line 6) | def normalize_activation(x, eps=1e-10):
  function get_state_dict (line 11) | def get_state_dict(net_type: str = 'alex', version: str = '0.1'):

FILE: metrics.py
  function readImages (line 24) | def readImages(renders_dir, gt_dir):
  function evaluate (line 36) | def evaluate(model_paths):

FILE: objremoval.py
  function mean_neighborhood (line 37) | def mean_neighborhood(input_img, N):
  function save_mp4 (line 46) | def save_mp4(dir, fps):
  function multi_instance_opt (line 82) | def multi_instance_opt(all_counts, slackness=0.):
  function id2rgb (line 104) | def id2rgb(id, max_num_obj=256):
  function visualize_obj (line 125) | def visualize_obj(objects):
  function render_set (line 133) | def render_set(model_path, name, iteration, views, gaussians, pipeline, ...
  function render_sets (line 228) | def render_sets(dataset : ModelParams, iteration : int, pipeline : Pipel...

FILE: render.py
  function mean_neighborhood (line 37) | def mean_neighborhood(input_img, N):
  function save_mp4 (line 46) | def save_mp4(dir, fps):
  function multi_instance_opt (line 82) | def multi_instance_opt(all_counts, slackness=0.):
  function id2rgb (line 104) | def id2rgb(id, max_num_obj=256):
  function visualize_obj (line 125) | def visualize_obj(objects):
  function render_set (line 133) | def render_set(model_path, name, iteration, views, gaussians, pipeline, ...
  function render_sets (line 247) | def render_sets(dataset : ModelParams, iteration : int, pipeline : Pipel...

FILE: scene/__init__.py
  class Scene (line 21) | class Scene:
    method __init__ (line 25) | def __init__(self, args : ModelParams, gaussians : GaussianModel, load...
    method save (line 91) | def save(self, iteration):
    method getTrainCameras (line 95) | def getTrainCameras(self, scale=1.0):
    method getTestCameras (line 98) | def getTestCameras(self, scale=1.0):

FILE: scene/cameras.py
  class Camera (line 18) | class Camera(nn.Module):
    method __init__ (line 19) | def __init__(self, colmap_id, R, T, FoVx, FoVy, image, gt_alpha_mask,
  class MiniCam (line 73) | class MiniCam:
    method __init__ (line 74) | def __init__(self, width, height, fovy, fovx, znear, zfar, world_view_...

FILE: scene/colmap_loader.py
  function qvec2rotmat (line 43) | def qvec2rotmat(qvec):
  function rotmat2qvec (line 55) | def rotmat2qvec(R):
  class Image (line 68) | class Image(BaseImage):
    method qvec2rotmat (line 69) | def qvec2rotmat(self):
  function read_next_bytes (line 72) | def read_next_bytes(fid, num_bytes, format_char_sequence, endian_charact...
  function read_points3D_text (line 83) | def read_points3D_text(path):
  function read_points3D_binary (line 125) | def read_points3D_binary(path_to_model_file):
  function read_intrinsics_text (line 156) | def read_intrinsics_text(path):
  function read_extrinsics_binary (line 180) | def read_extrinsics_binary(path_to_model_file):
  function read_intrinsics_binary (line 215) | def read_intrinsics_binary(path_to_model_file):
  function read_extrinsics_text (line 244) | def read_extrinsics_text(path):
  function read_colmap_bin_array (line 273) | def read_colmap_bin_array(path):

FILE: scene/dataset_readers.py
  class CameraInfo (line 28) | class CameraInfo(NamedTuple):
  class SceneInfo (line 41) | class SceneInfo(NamedTuple):
  function getNerfppNorm (line 48) | def getNerfppNorm(cam_info):
  function readColmapCameras (line 71) | def readColmapCameras(cam_extrinsics, cam_intrinsics, images_folder, obj...
  function fetchPly (line 119) | def fetchPly(path):
  function storePly (line 127) | def storePly(path, xyz, rgb):
  function readColmapSceneInfo (line 144) | def readColmapSceneInfo(path, images, eval, object_path, llffhold=8):
  function readCamerasFromTransforms (line 194) | def readCamerasFromTransforms(path, transformsfile, white_background, ex...
  function readNerfSyntheticInfo (line 238) | def readNerfSyntheticInfo(path, white_background, eval, extension=".png"):

FILE: scene/gaussian_model.py
  class GaussianModel (line 26) | class GaussianModel:
    method setup_functions (line 28) | def setup_functions(self):
    method __init__ (line 46) | def __init__(self, sh_degree : int):
    method capture (line 63) | def capture(self):
    method restore (line 79) | def restore(self, model_args, training_args):
    method get_scaling (line 98) | def get_scaling(self):
    method get_rotation (line 102) | def get_rotation(self):
    method get_xyz (line 106) | def get_xyz(self):
    method get_features (line 110) | def get_features(self):
    method get_opacity (line 116) | def get_opacity(self):
    method get_covariance (line 119) | def get_covariance(self, scaling_modifier = 1):
    method oneupSHdegree (line 122) | def oneupSHdegree(self):
    method create_from_pcd (line 126) | def create_from_pcd(self, pcd : BasicPointCloud, spatial_lr_scale : fl...
    method training_setup (line 151) | def training_setup(self, training_args):
    method inpaint_setup (line 171) | def inpaint_setup(self, training_args, mask3d):
    method update_learning_rate (line 272) | def update_learning_rate(self, iteration):
    method construct_list_of_attributes (line 280) | def construct_list_of_attributes(self):
    method save_ply (line 294) | def save_ply(self, path):
    method reset_opacity (line 313) | def reset_opacity(self):
    method load_ply (line 318) | def load_ply(self, path):
    method replace_tensor_to_optimizer (line 361) | def replace_tensor_to_optimizer(self, tensor, name):
    method _prune_optimizer (line 376) | def _prune_optimizer(self, mask):
    method prune_points (line 394) | def prune_points(self, mask):
    method cat_tensors_to_optimizer (line 410) | def cat_tensors_to_optimizer(self, tensors_dict):
    method densification_postfix (line 432) | def densification_postfix(self, new_xyz, new_features_dc, new_features...
    method densify_and_split (line 452) | def densify_and_split(self, grads, grad_threshold, scene_extent, N=2, ...
    method densify_and_clone (line 487) | def densify_and_clone(self, grads, grad_threshold, scene_extent, limit...
    method densify_and_prune (line 512) | def densify_and_prune(self, max_grad, min_opacity, extent, max_screen_...
    method add_densification_stats (line 538) | def add_densification_stats(self, viewspace_point_tensor, update_filter):
    method get_num_pts (line 543) | def get_num_pts(self):

FILE: train.py
  function dot (line 43) | def dot(x, y):
  function length (line 49) | def length(x, eps=1e-20):
  function safe_normalize (line 55) | def safe_normalize(x, eps=1e-20):
  function look_at (line 58) | def look_at(campos, target):
  function pose_spherical (line 66) | def pose_spherical(elevation, azimuth, radius=4.031, opengl=False):
  function save_image (line 87) | def save_image(fn, x : np.ndarray):
  function save_mask (line 96) | def save_mask(fn, x: np.ndarray):
  function _resize (line 109) | def _resize(image_array, size=(512, 512)):
  function save_gif (line 115) | def save_gif(dir, fps):
  function save_mp4 (line 125) | def save_mp4(dir, fps):
  function training (line 145) | def training(dataset, opt, pipe, testing_iterations, saving_iterations, ...
  function prepare_output_and_logger (line 276) | def prepare_output_and_logger(args):
  function training_report (line 299) | def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, t...
  function training_visualization (line 341) | def training_visualization(vis_path, scene : Scene, gaussians, renderFun...

FILE: utils/camera_utils.py
  function read_depth (line 23) | def read_depth(filename):
  function loadCam (line 30) | def loadCam(args, id, cam_info, resolution_scale):
  function cameraList_from_camInfos (line 80) | def cameraList_from_camInfos(cam_infos, resolution_scale, args):
  function camera_to_JSON (line 88) | def camera_to_JSON(id, camera : Camera):

FILE: utils/general_utils.py
  function inverse_sigmoid (line 18) | def inverse_sigmoid(x):
  function PILtoTorch (line 21) | def PILtoTorch(pil_image, resolution):
  function get_expon_lr_func (line 29) | def get_expon_lr_func(
  function strip_lowerdiag (line 64) | def strip_lowerdiag(L):
  function strip_symmetric (line 75) | def strip_symmetric(sym):
  function build_rotation (line 78) | def build_rotation(r):
  function build_scaling_rotation (line 101) | def build_scaling_rotation(s, r):
  function safe_state (line 112) | def safe_state(silent):

FILE: utils/graphics_utils.py
  class BasicPointCloud (line 17) | class BasicPointCloud(NamedTuple):
  function geom_transform_points (line 22) | def geom_transform_points(points, transf_matrix):
  function getWorld2View (line 31) | def getWorld2View(R, t):
  function getWorld2View2 (line 38) | def getWorld2View2(R, t, translate=np.array([.0, .0, .0]), scale=1.0):
  function getProjectionMatrix (line 51) | def getProjectionMatrix(znear, zfar, fovX, fovY):
  function fov2focal (line 73) | def fov2focal(fov, pixels):
  function focal2fov (line 76) | def focal2fov(focal, pixels):

FILE: utils/image_utils.py
  function mse (line 14) | def mse(img1, img2):
  function psnr (line 17) | def psnr(img1, img2):

FILE: utils/loss_utils.py
  function l1_loss (line 17) | def l1_loss(network_output, gt):
  function masked_l1_loss (line 20) | def masked_l1_loss(network_output, gt, mask):
  function l2_loss (line 26) | def l2_loss(network_output, gt):
  function gaussian (line 29) | def gaussian(window_size, sigma):
  function create_window (line 33) | def create_window(window_size, channel):
  function ssim (line 39) | def ssim(img1, img2, window_size=11, size_average=True):
  function _ssim (line 49) | def _ssim(img1, img2, window, window_size, channel, size_average=True):

FILE: utils/sh_utils.py
  function eval_sh (line 57) | def eval_sh(deg, sh, dirs):
  function RGB2SH (line 114) | def RGB2SH(rgb):
  function SH2RGB (line 117) | def SH2RGB(sh):

FILE: utils/system_utils.py
  function mkdir_p (line 16) | def mkdir_p(folder_path):
  function searchForMaxIteration (line 26) | def searchForMaxIteration(folder):