(normals, is_training=False, sample_num=24)

(self, path)

(viewpoint_cam, gaussians, background, render_fn, pipe, opt, first_iter, iteration, pbr_kwargs)

(self, delta)

(scene_dict: dict, dataset: ModelParams)

(self, rotation=None, center=None, scale=None, offset=None, transform=None)

(self)

(img)

(path, xyz, rgb, normals=None)

(L)

(sym)

(plt_map)

(dataset: ModelParams, opt: OptimizationParams, pipe: PipelineParams, is_pbr=False)

(tb_writer, iteration, tb_dict, scene: Scene, renderFunc, pipe, bg_color: torch.Tensor, sc

(self, training_args: OptimizationParams)

(sample, preproc_args)

(ref_depth, reproj_xyd, in_range, img_dist_thresh, depth_thresh, vthresh)

(depth, near=0.2, far=13)

(file: str, cam)

(self, x: torch.Tensor)

(pil_image, resolution)

(self)

(self)

(self, type, value, traceback)

(self, idx)

(self, i)

(self, W, H, fovy=60, near=0.1, far=10, rot=None, translate=None, center=None)

(self, H, W, fovy, c2w, center, render_fn, render_kwargs, mode="render", debug=True)

(self, path=None, scale=1.0)

(self, sh_degree: int, render_type='render')

(self, H=128, light_init=0.5)

(self, use_ldr_image)

(self, sh_degree)

(self, colmap_id, R, T, FoVx, FoVy, fx, fy, cx, cy, image, image_name, uid, trans=np.array([

(self, name)

(self, means3D, scales, rotations)

(self, means3D, scales, rotations)

(self, parser, sentinel=False)

(self, parser)

(self, parser)

(self, raster_settings)

(self, n_channels_list: Sequence[int])

(self)

(self)

(self)

(self, net_type: str = 'alex', version: str = '0.1')

(self, raster_settings)

(self, data_root)

(self, data_root, json_file)

(self)

(self)

(self)

(self, num_heads=1)

(self)

(self)

(self)

(self)

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, bias=True, padding_mode='zeros

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, bias=True, padding_mode='zeros

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, output_padding=0, bias=True, dilation=1, p

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, output_padding=0, bias=True, dilation=1, p

(self, modules: Union[List, OrderedDict])

(self, inplanes, planes, stride=1, downsample=None, dim=2)

(self, kernel_size, iteration, affinity_net, dim=2)

(self, in_planes, hidden_planes)

(self, inplanes, filters, bottom_net=None, head_net=None)

(self, inplanes)

(self, root, num_src, read, transforms)

(self, iterable, num_cycle)

(self, iterable, total_steps)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(ctx, grad_num_rendered, grad_num_contrib, grad_out_color, grad_out_opacity, grad_out_depth,

(self, ref, ref_cam, source, source_cam, depth_num, depth_start, depth_interval, scale)

(scaling, scaling_modifier, rotation)

(sender, app_data)

(sender, app_data)

(sender, app_data)

(sender, app_data)

(sender, app_data)

(sender, app_data)

(cam, max_d)

(self)

(self)

(self)

(class_, depth_start, depth_interval, depth_num, inv=False)