Functions — github.com/cherubicXN/neat

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Functions568 in github.com/cherubicXN/neat

⨍ Functions 568◇ Types & classes 85

↓ 2 callersFunctionpose_spherical

(psi, theta, phi, radius)

code/evaluation/show.py:52

↓ 2 callersFunctionpose_spherical

(psi, theta, phi, radius)

code/evaluation/show-junctions.py:52

↓ 2 callersFunctionproject2D

(K,R,T, points3d)

code/evaluation/abc-analysis.py:28

↓ 2 callersMethodproject2D

(self, K,R,T, points3d)

code/model/networks/neat_simple.py:274

↓ 2 callersMethodproject2D

(self, K,R,T, points3d)

code/datasets/scene_line_depth_dataset.py:71

↓ 2 callersFunctionproject_point_to_line

(line_segs, points)

code/neat-final-parsing.py:74

↓ 2 callersFunctionproject_point_to_line

(line_segs, points)

code/evaluation/dgrid.py:46

↓ 2 callersMethodpush

(self, loss_dict)

code/training/volsdf_train.py:54

↓ 2 callersFunctionquat_to_rot

(q)

code/utils/rend_util.py:111

↓ 2 callersFunctionqvec2rotmat

(qvec)

colmap/preprocess.py:497

↓ 2 callersFunctionread_cameras_binary

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

colmap/preprocess.py:171

↓ 2 callersFunctionread_images_binary

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

colmap/preprocess.py:268

↓ 2 callersMethodrender

(self, uv, pose, intrinsics)

code/model/network.py:203

↓ 2 callersMethodsave_checkpoints

(self, epoch)

code/training/volsdf_train.py:252

↓ 2 callersMethodvolume_rendering

(self, z_vals, sdf)

code/model/network.py:454

↓ 2 callersMethodvolume_rendering

(self, z_vals, sdf)

code/model/networks/neat_wfr_rend_show.py:482

↓ 2 callersMethodvolume_rendering

(self, z_vals, sdf)

code/model/networks/neat_wfr_rend_a.py:540

↓ 2 callersMethodvolume_rendering

(self, z_vals, sdf)

code/model/networks/neat_uni.py:545

↓ 2 callersFunctionwrite_vis_pcd

(file, points, colors)

code/evaluation/eval-dtu.py:20

↓ 1 callersFunctionWireframeVisualizer

(lines, render_dir = None, cam_dir = None, rx=0, ry=0,rz=0,t=0, points3d_a

code/visualization/show.py:141

↓ 1 callersFunctionWireframeVisualizer

(points3d_list, render_dir = None, rx=0, ry=0,rz=0,t=0,point_size=0.5)

code/visualization/junctions.py:52

↓ 1 callersFunctionWireframeVisualizer

(pcd, render_dir = None, cam_dir = None, rx=0, ry=0,rz=0,t=0, points3d_all = None, show_endpoints = False)

code/evaluation/show-jpth.py:122

↓ 1 callersFunctionWireframeVisualizer

(lineset, render_dir = None, cam_dir = None)

code/evaluation/nms.py:77

↓ 1 callersFunctionWireframeVisualizer

(lines, render_dir = None, cam_dir = None, rx=0, ry=0,rz=0,t=0, points3d_all = None, show_endpoints = False, l

code/evaluation/show.py:122

↓ 1 callersFunctionWireframeVisualizer

(mesh, render_dir = None, cam_dir = None, rx=0, ry=0,rz=0,t=0)

code/evaluation/show-mesh.py:122

↓ 1 callersFunctionWireframeVisualizer

(lines, render_dir = None, cam_dir = None, rx=0, ry=0,rz=0,t=0, points3d_all = None, show_endpoints = False)

code/evaluation/show-junctions.py:122

↓ 1 callersFunctionalign_x

(depth1, depth2, s1, e1, s2, e2)

data/preprocess/monodepth.py:55

↓ 1 callersMethodcluster_dbscan

(self, points, eps=0.01, min_samples=2)

code/model/networks/neat_wfr_rend_c.py:333

↓ 1 callersMethodcluster_dbscan

(self, points, eps=0.01, min_samples=2)

code/model/networks/neat_wfr_rend_a.py:333

↓ 1 callersMethodcluster_dbscan

(self, points, eps=0.01, min_samples=2)

code/model/networks/neat_wfr_a.py:335

↓ 1 callersMethodcluster_dbscan

(self, points, eps=0.01, min_samples=2)

code/model/networks/neat_wfr_rend_b.py:334

↓ 1 callersMethodcluster_dbscan

(self, points, eps=0.01, min_samples=2)

code/model/networks/neat_wfr.py:340

↓ 1 callersMethodcluster_dbscan

(self, points, eps=0.01, min_samples=2)

code/model/networks/neat_wfr_rend.py:333

↓ 1 callersMethodcluster_dbscan

(self, points, eps=0.01, min_samples=2)

code/model/networks/neat_uni.py:333

↓ 1 callersFunctioncolmap_camera_to_K

(camera: Camera)

colmap/preprocess.py:531

↓ 1 callersMethodcommit_log

(self, msg='update log')

code/training/volsdf_train.py:245

↓ 1 callersMethodcompute_point_line_attraction

(self, lines)

code/datasets/scene_hawp_dataset.py:92

↓ 1 callersMethodcompute_point_line_attraction

(self, lines)

code/datasets/scannet_hawp_dataset.py:97

↓ 1 callersMethodcompute_point_line_attraction

(self, lines)

code/datasets/blender_hawp_dataset.py:93

↓ 1 callersMethodconnect

(database_path)

colmap/dtu.py:147

↓ 1 callersMethodconnect

(database_path)

colmap/abc.py:148

↓ 1 callersMethodcreate_embedding_fn

(self)

code/model/embedder.py:10

↓ 1 callersMethoddensity_func

(self, sdf, beta=None)

code/model/density.py:34

↓ 1 callersMethodembed

(self, inputs)

code/model/embedder.py:35

↓ 1 callersFunctionevaluate

(**kwargs)

code/evaluation/eval.py:17

↓ 1 callersFunctionevaluate

(pcd_pred, mesh_trgt, threshold=.05, down_sample=.02)

code/evaluation/eval-lsr-scannet.py:42

↓ 1 callersFunctionexample_usage

()

colmap/dtu.py:250

↓ 1 callersFunctionexample_usage

()

colmap/custom.py:271

↓ 1 callersFunctionexample_usage

()

colmap/preprocess.py:542

↓ 1 callersFunctionexample_usage

()

colmap/abc.py:251

↓ 1 callersMethodforward

(self, input)

code/model/networks/neat_wfr_dual.py:502

↓ 1 callersMethodforward_train

(self, input)

code/model/networks/neat_wfr_dual.py:351

↓ 1 callersFunctionget_depth

(model, img_path)

data/preprocess/monodepth.py:147

↓ 1 callersMethodget_depth_loss

(self, depth, depth_colmap)

code/model/networks/loss_wfr_spd.py:48

↓ 1 callersMethodget_eikonal_loss

(self, grad_theta)

code/model/networks/loss_wfr_rpd.py:162

↓ 1 callersMethodget_eikonal_loss

(self, grad_theta)

code/model/networks/loss_wfr_spd.py:32

↓ 1 callersMethodget_eikonal_loss

(self, grad_theta)

code/model/networks/loss_wfr.py:31

↓ 1 callersMethodget_eikonal_loss

(self, grad_theta)

code/model/networks/loss_wfr_a.py:31

↓ 1 callersMethodget_eikonal_loss

(self, grad_theta)

code/model/networks/loss_jc.py:29

↓ 1 callersMethodget_eikonal_loss

(self, grad_theta)

code/model/networks/loss_wfr_unnormalize.py:31

↓ 1 callersMethodget_eikonal_loss

(self, grad_theta)

code/model/networks/loss_ins.py:88

↓ 1 callersFunctionget_extensions

()

code/setup.py:17

↓ 1 callersMethodget_line_loss

(self, lines2d, lines2d_gt, lines_weight, threshold = 100)

code/model/networks/loss_wfr_a.py:34

↓ 1 callersMethodget_line_loss

(self, lines2d, lines2d_gt, lines_weight, threshold = 100)

code/model/networks/loss_jc.py:32

↓ 1 callersMethodget_line_loss

(self, lines2d, lines2d_gt, lines_weight, threshold = 100)

code/model/networks/loss_wfr_unnormalize.py:34

↓ 1 callersMethodget_line_loss

(self, lines2d, lines2d_gt, lines_weight, threshold = 100)

code/model/networks/loss_ins.py:91

↓ 1 callersMethodget_outputs

(self, x)

code/model/neat_along_ray.py:106

↓ 1 callersMethodget_outputs

(self, x)

code/model/networks/neat_along_ray_v2.py:106

↓ 1 callersMethodget_plot_data

(self, model_outputs, pose, rgb_gt)

code/training/volsdf_train.py:413

↓ 1 callersMethodget_rgb_loss

(self,rgb_values, rgb_gt)

code/model/networks/loss_wfr_rpd.py:157

↓ 1 callersMethodget_rgb_loss

(self,rgb_values, rgb_gt)

code/model/networks/loss_wfr_spd.py:27

↓ 1 callersMethodget_rgb_loss

(self,rgb_values, rgb_gt)

code/model/networks/loss_wfr.py:26

↓ 1 callersMethodget_rgb_loss

(self,rgb_values, rgb_gt)

code/model/networks/loss_wfr_a.py:26

↓ 1 callersMethodget_rgb_loss

(self,rgb_values, rgb_gt)

code/model/networks/loss_jc.py:24

↓ 1 callersMethodget_rgb_loss

(self,rgb_values, rgb_gt)

code/model/networks/loss_wfr_unnormalize.py:26

↓ 1 callersMethodget_rgb_loss

(self,rgb_values, rgb_gt)

code/model/networks/loss_ins.py:83

↓ 1 callersMethodget_scale_mat

(self)

code/datasets/scene_dataset.py:96

↓ 1 callersFunctionget_segment_overlap

(seg_coord1d)

code/evaluation/dgrid.py:56

↓ 1 callersFunctionget_surface_trace

(path, epoch, sdf, resolution=100, grid_boundary=[-2.0, 2.0], return_mesh=False, level=0)

code/utils/plots.py:101

↓ 1 callersFunctionget_wireframe_from_lines_and_junctions

(lines, junctions, *, rel_matching_distance_threshold = 0.01, )

code/neat-final-parsing.py:134

↓ 1 callersMethodgradient

(self, x)

code/model/network.py:89

↓ 1 callersMethodgradient

(self, x)

code/model/neat_along_ray.py:93

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_wfr_rend_c.py:98

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_wfr_rend_a.py:98

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_wfr_a.py:98

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_along_ray_v2.py:93

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_simple.py:93

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_wfr_rend_b.py:98

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_wfr.py:98

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_wfr_rend.py:98

↓ 1 callersMethodgradient

(self, x)

code/model/networks/neat_uni.py:98

↓ 1 callersFunctiongradient_loss

(prediction, target, mask, reduction=reduction_batch_based)

code/model/networks/loss_wfr_rpd.py:59

↓ 1 callersFunctionhungarian

(pred_ins, gt_ins, valid_ins_num, ins_num)

code/model/networks/loss_ins.py:36

↓ 1 callersFunctioninitial_recon

(model, eval_dataloader, chunksize, *, line_dis_threshold = 10, line_scor

code/neat-final-parsing.py:159

↓ 1 callersFunctionins_criterion

(pred_ins, gt_labels, ins_num)

code/model/networks/loss_ins.py:17

↓ 1 callersFunctionlift

(x, y, z, intrinsics)

code/utils/rend_util.py:95

↓ 1 callersFunctionlinesToOpen3d

(lines)

code/visualization/show.py:127

↓ 1 callersFunctionlinesToOpen3d

(lines)

code/evaluation/show.py:108

↓ 1 callersFunctionlinesToOpen3d

(lines)

code/evaluation/show-junctions.py:108

↓ 1 callersFunctionlinesToOpen3d

(lines)

code/evaluation/show-tm.py:65

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