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Functions843 in github.com/cvlab-kaist/PF3plat

⨍ Functions 843◇ Types & classes 197↳ Endpoints 2

Methodget_current_decay

(self, *args, **kwargs)

src/model/unidepth/utils/ema_torch.py:25

Methodget_data_shim

(self)

src/model/encoder/encoder_costvolume.py:579

Functionget_depth

Calculate the depths that correspond to the specified 2D points on the epipolar lines defined by the origins and directions. The extrinsics and in

src/geometry/epipolar_lines.py:280

Functionget_dist_info

()

src/model/unidepth/utils/distributed.py:47

Functionget_gt_correspondence_mask

Computes the mask of valid flows (that do not match to a pixel outside of the image).

src/flow_util.py:1143

Functionget_num_layer_for_convnext_single

Each layer is assigned distinctive layer ids

src/model/unidepth/backbones/convnext2.py:7

Functionget_params

(module, lr, wd)

src/model/unidepth/utils/misc.py:72

Methodget_params

(self, lr, wd, ld, *args, **kwargs)

src/model/unidepth/backbones/dinov2.py:336

Methodget_params

(self, lr, wd, ld, *args, **kwargs)

src/model/unidepth/backbones/convnext.py:509

Methodget_params

(self, lr, wd, ld, *args, **kwargs)

src/model/unidepth/backbones/convnext2.py:275

Functionget_params_layerdecayswin

(module, lr, wd, ld)

src/model/unidepth/utils/misc.py:135

Functionget_patches

( tensor: torch.Tensor, required_corners: torch.Tensor, ps: int )

src/model/LightGlue/lightglue/aliked.py:48

Functionget_pointcloud_from_rgbd

( image, depth, mask, intrinsic_matrix, extrinsic_matrix = None, )

src/model/unidepth/utils/visualization.py:57

src/dataset/view_sampler/view_sampler.py:60

Methodgroup_matcher

(self, coarse=False)

src/model/unidepth/backbones/convnext.py:484

Methodhook

(module, input, output)

src/model/encoder/visualization/encoder_visualizer_costvolume.py:48

Functionidentity

(t, *args, **kwargs)

src/model/unidepth/utils/misc.py:174

Methodindex

(self)

src/dataset/dataset_dl3dv.py:273

Methodindex

(self)

src/dataset/dataset_dl3dv_test.py:276

Methodindex

(self)

src/dataset/dataset_re10k_test.py:158

Methodindex

(self)

src/dataset/dataset_acid_test.py:155

Functioninit_

(tensor)

src/model/encoder/costvolume/ldm_unet/attention.py:27

Functioninit_weights_vit_timm

ViT weight initialization, original timm impl (for reproducibility)

src/model/unidepth/backbones/dinov2.py:352

Functioninlier_counting_3d

(X0, X1, R, t, th=0.05)

src/flow_util.py:744

Functioninner

(x)

src/model/unidepth/utils/misc.py:196

Methodinteraction

(self, *args, **kwargs)

src/dataset/dataset_re10k.py:30

Methodinteraction

(self, *args, **kwargs)

src/dataset/dataset_dl3dv.py:30

Methodinteraction

(self, *args, **kwargs)

src/dataset/dataset_dl3dv_test.py:30

Functionis_rank_zero

(args)

src/model/unidepth/utils/distributed.py:43

Functionl2norm

(t)

src/model/unidepth/utils/misc.py:166

Functionlast_stack

(tensors)

src/model/unidepth/utils/misc.py:20

Functionlinear

Create a linear module.

src/model/encoder/costvolume/ldm_unet/util.py:253

Functionload_pretrained

(state_dict, checkpoint)

src/model/unidepth/utils/misc.py:231

Methodload_pretrained

(self, model_file)

src/model/unidepth/unidepthv2/unidepthv2.py:321

Methodload_state_dict

(self, *args, **kwargs)

src/model/unidepth/utils/ema_torch.py:53

Functionlog

(t, eps: float = 1e-5)

src/model/unidepth/utils/misc.py:162

Methodlog_hyperparams

(self, params)

src/misc/LocalLogger.py:27

Methodlog_metrics

(self, metrics, step)

src/misc/LocalLogger.py:31

Functionlog_train_artifacts

(rgbs, gts, preds, ds_name, step, infos={})

src/model/unidepth/utils/visualization.py:136

Functionmake_beta_schedule

(schedule, n_timestep, linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3)

src/model/encoder/costvolume/ldm_unet/util.py:21

Functionmake_ddim_sampling_parameters

(alphacums, ddim_timesteps, eta, verbose=True)

src/model/encoder/costvolume/ldm_unet/util.py:63

Functionmake_ddim_timesteps

(ddim_discr_method, num_ddim_timesteps, num_ddpm_timesteps, verbose=True)

src/model/encoder/costvolume/ldm_unet/util.py:46

Functionmake_grid

(img)

src/flow_util.py:328

Functionmake_matching_plot_fast

(image0, image1, kpts0, kpts1, mkpts0, mkpts1, color, text, path=None,

src/flow_util.py:370

Functionmatches_from_flow

Retrieves the pixel coordinates of 'good' matches in source and target images, based on provided flow field (relating the target to the sourc

src/flow_util.py:751

Functionmatches_from_flow_batch

Retrieves the pixel coordinates of 'good' matches in source and target images, based on provided flow field (relating the target to the sourc

src/flow_util.py:795

Functionmax_neg_value

(t)

src/model/encoder/costvolume/ldm_unet/attention.py:23

Functionmax_stack

(tensors)

src/model/unidepth/utils/misc.py:14

Functionmaybe

(fn)

src/model/unidepth/utils/misc.py:194

Functionmean_flat

Take the mean over all non-batch dimensions.

src/model/encoder/costvolume/ldm_unet/util.py:192

Functionmean_stack

(tensors)

src/model/unidepth/utils/misc.py:34

Functionmerge_splits

(splits, num_splits=2, channel_last=False, )

src/flow_util.py:61

Methodname

(self)

src/misc/LocalLogger.py:19

Functionnoise_like

(shape, device, repeat=False)

src/model/encoder/costvolume/ldm_unet/util.py:286

Methodnum_context_views

(self)

src/dataset/view_sampler/view_sampler_arbitrary.py:65

Methodnum_context_views

(self)

src/dataset/view_sampler/view_sampler.py:56

Methodnum_context_views

(self)

src/dataset/view_sampler/view_sampler_bounded.py:116

Methodnum_context_views

(self)

src/dataset/view_sampler/view_sampler_all.py:32

Methodnum_context_views

(self)

src/dataset/view_sampler/view_sampler_evaluation.py:62

Methodnum_target_views

(self)

src/dataset/view_sampler/view_sampler_arbitrary.py:69

Methodnum_target_views

(self)

src/dataset/view_sampler/view_sampler.py:51

Methodnum_target_views

(self)

src/dataset/view_sampler/view_sampler_bounded.py:120

Methodnum_target_views

(self)

src/dataset/view_sampler/view_sampler_all.py:36

Methodnum_target_views

(self)

src/dataset/view_sampler/view_sampler_evaluation.py:66

Methodon_test_end

(self)

src/model/model_wrapper.py:390

Functiononce

(fn)

src/model/unidepth/utils/misc.py:204

Methodoptimizer_step

( self, epoch=None, batch_idx=None, optimizer=None, optimizer_closure=

src/model/model_wrapper.py:210

Functionplot_images

Plot a set of images horizontally. Args: imgs: list of NumPy RGB (H, W, 3) or PyTorch RGB (3, H, W) or mono (H, W). titles: a list

src/model/LightGlue/lightglue/viz2d.py:42

Functionplot_keypoints

Plot keypoints for existing images. Args: kpts: list of ndarrays of size (N, 2). colors: string, or list of list of tuples (one fo

src/model/LightGlue/lightglue/viz2d.py:89

Functionplot_matches

Plot matches for a pair of existing images. Args: kpts0, kpts1: corresponding keypoints of size (N, 2). color: color of each match

src/model/LightGlue/lightglue/viz2d.py:108

Functionproject

( points: Float[Tensor, "*#batch dim"], extrinsics: Float[Tensor, "*#batch dim+1 dim+1"], intrinsi

src/geometry/projection.py:59

Functionproject_points

( points_3d, intrinsic_matrix, image_shape, )

src/model/unidepth/utils/geometric.py:158

Functionrandom_se3

()

src/flow_util.py:129

Functionrelative_disparity_to_depth

Convert relative disparity, where 0 is near and 1 is far, to depth.

src/model/encoder/costvolume/conversions.py:5

Functionremove_leading_dim

(infos)

src/model/unidepth/utils/misc.py:405

Functionremove_padding_metas

(out, image_metas)

src/model/unidepth/utils/misc.py:369

Functionresize

( image: Float[Tensor, "channel height width"], shape: Optional[tuple[int, int]] = None, width: Op

src/visualization/layout.py:208

Methodrestore

(self, *args, **kwargs)

src/model/unidepth/utils/ema_torch.py:37

Functionrsh_cart_0

Computes all real spherical harmonics up to degree 0. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:11

Functionrsh_cart_1

Computes all real spherical harmonics up to degree 1. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:36

Functionrsh_cart_2

Computes all real spherical harmonics up to degree 2. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:67

Functionrsh_cart_3

Computes all real spherical harmonics up to degree 3. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:110

Functionrsh_cart_4

Computes all real spherical harmonics up to degree 4. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:160

Functionrsh_cart_5

Computes all real spherical harmonics up to degree 5. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:228

Functionrsh_cart_6

Computes all real spherical harmonics up to degree 6. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:329

Functionrsh_cart_7

Computes all real spherical harmonics up to degree 7. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:509

Functionrsh_cart_8

Computes all real spherical harmonics up to degree 8. This is an autogenerated method. See https://github.com/cheind/torch-spherical-harmonic

src/model/unidepth/utils/sht.py:833

Methodsample

Arbitrarily sample context and target views.

src/dataset/view_sampler/view_sampler_arbitrary.py:21

Methodsample

( self, scene: str, extrinsics: Float[Tensor, "view 4 4"], intrinsics: Float[T

src/dataset/view_sampler/view_sampler_bounded.py:29

Methodsample

( self, scene: str, extrinsics: Float[Tensor, "view 4 4"], intrinsics: Float[T

src/dataset/view_sampler/view_sampler_all.py:17

Methodsample

( self, scene: str, extrinsics: Float[Tensor, "view 4 4"], intrinsics: Float[T

src/dataset/view_sampler/view_sampler_evaluation.py:44

Functionsample_training_rays

( image: Float[Tensor, "batch view channel ..."], intrinsics: Float[Tensor, "batch view dim dim"],

src/geometry/projection.py:140

Functionsave_file_ply

(xyz, rgb, pc_file)

src/model/unidepth/utils/visualization.py:107

Functionsave_plot

Save the current figure without any white margin.

src/model/LightGlue/lightglue/viz2d.py:192

Functionscale_module

Scale the parameters of a module and return it.

src/model/encoder/costvolume/ldm_unet/util.py:183

Functionselect_cameras

Camera Parameters - c2w : (batch, num_views, 4, 4)

src/flow_util.py:1208

Functionselect_gaussians

Gaussian Parameters - covariances : (batch, num_gaussians, 3, 3) - harmonics : (batch, num_gaussians, 3, 1) - means : (batch, num_gau

src/flow_util.py:1187

Functionseparate_loss_cfg_wrappers

(joined: dict)

src/config.py:73

Methodset_original_shapes

(self, shapes: tuple[int, int])

src/model/unidepth/unidepthv2/decoder.py:124

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